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ORCIDExpert Systems - The Journal of Knowledge Engineering, Volume 39
Volume 39, Number 1, January 2022
- Mohd Saqib Akhoon, Shahrel Azmin Suandi, Abdullah S. Alshahrani, Abdul-Malik H. Y. Saad
, Fahad R. Albogamy, Mohd Zaid Bin Abdullah, Sajad A. Loan:
High performance accelerators for deep neural networks: A review.
- Achukatla Valli Bhasha, Balam Diguvathattu Venkatramana Reddy:
Image super resolution model enabled by wavelet lifting with optimized deep convolutional neural network. - Mahdie Eghdami, Hadi Sadoghi Yazdi, Neshat Salehi:
Sparsity-aware support vector data description reinforced by expectation maximization. - Javad Forough, Saeedeh Momtazi:
Sequential credit card fraud detection: A joint deep neural network and probabilistic graphical model approach. - Amit K. Chattopadhyay, Subhagata Chattopadhyay:
VIRDOCD: A VIRtual DOCtor to predict dengue fatality. - Bui Hai Phong, Thang Manh Hoang, Thi-Lan Le:
An end-to-end framework for the detection of mathematical expressions in scientific document images. - Biswajit Sarkar, Animesh Biswas:
A multi-criteria decision making approach for strategy formulation using Pythagorean fuzzy logic. - Kuldeep Singh, Chhavi Dhiman, Dinesh Kumar Vishwakarma, Himanshu Makhija, Gurjit Singh Walia:
A sparse coded composite descriptor for human activity recognition. - Vidhushavarshini Sureshkumar, Sathiyabhama Balasubramaniam, Vinayakumar Ravi, Ajay Arunachalam:
A hybrid optimization algorithm-based feature selection for thyroid disease classifier with rough type-2 fuzzy support vector machine. - Chen Guo, Heng Tang, Ben Niu:
Evolutionary state-based novel multi-objective periodic bacterial foraging optimization algorithm for data clustering. - Kulanthaivel Balakrishnan, R. Dhanalakshmi, Utkarsh Mahadeo Khaire:
Analysing stable feature selection through an augmented marine predator algorithm based on opposition-based learning. - Michela Ponticorvo, Massimiliano Schembri, Orazio Miglino:
Training and assessing numerical abilities across the lifespan with intelligent systems: The example of Baldo. - Ying Yu, Hao Huang:
Eliciting symptom-diagnosis knowledge from online medical Q&A. - Abhijit Roy, Bikesh Kumar Singh, Sumit K. Banchhor, Kesari Verma:
Segmentation of malignant tumours in mammogram images: A hybrid approach using convolutional neural networks and connected component analysis. - Chandra Mohan Dasari, Raju Bhukya:
MapReduce paradigm: DNA sequence clustering based on repeats as features. - Alfredo S. Ramos, Elías Olivares Benítez, Pablo A. Miranda Gonzalez:
Multi-start iterated local search metaheuristic for the multi-mode resource-constrained project scheduling problem. - Min Seok Lee, Seok Woo Yang, Hong Joo Lee:
Weight attention layer-based document classification incorporating information gain. - Beatriz López, Ferran Torrent-Fontbona, Luis Masana Marín, Alberto Zamora:
HTE 3.0: Knowledge-based systems in cascade for familial hypercholesterolemia detection and dyslipidemia treatment. - Chakradhar Pabba, Praveen Kumar:
An intelligent system for monitoring students' engagement in large classroom teaching through facial expression recognition.
Volume 39, Number 2, February 2022
- Desheng Dash Wu, Jon Hall:
Expert systems and risk analytics in service engineering. - Cuicui Luo:
A comparison analysis for credit scoring using bagging ensembles. - Sayed Shahab Amelian, Seyed Mojtaba Sajadi, Mehrzad Navabakhsh, Majid Esmaelian:
Multi-objective optimization for stochastic failure-prone job shop scheduling problem via hybrid of NSGA-II and simulation method. - Hong Lu, Fei Qiao:
An efficient adaptive genetic algorithm for energy saving in the hybrid flow shop scheduling with batch production at last stage. - Xin Liu, Jingkai Huang:
China's high-tech industry efficiency measurement with virtual frontier data envelopment analysis and Malmquist productivity index.
- Baloka Belezamo, Süleyman Eken, Cafer Avci:
Special issue on big data in transportation. - Claudio Teixeira, Luana Fragoso, Marta Mattoso, Diego Carvalho, Eduardo Bezerra, Jorge de Abreu Soares, Glauco Amorim, Eduardo S. Ogasawara:
A horizontal partitioning-based method for frequent pattern mining in transport timetable. - Zain Ul Abideen, Heli Sun, Zhou Yang, Hamza Fahim:
Regional-based multi-module spatial-temporal networks predicting city-wide taxi pickup/dropoff demand from origin to destination. - Fethullah Gocer, Nazmi Sener:
Spherical fuzzy extension of AHP-ARAS methods integrated with modified k-means clustering for logistics hub location problem. - Iván García Aguilar, Rafael Marcos Luque Baena, Ezequiel López-Rubio:
Improved detection of small objects in road network sequences using CNN and super resolution.
- Meisheng Liu, Desheng Wu:
Productivity measurement of industrial sector in China regarding air pollution. - Aneirson Francisco da Silva, Fernando Augusto Silva Marins, Erica Ximenes Dias, Rafael de Carvalho Miranda:
Goal programming and multiple criteria data envelopment analysis combined with optimization and Monte Carlo simulation: An application in railway components. - Sachin Minocha, Birmohan Singh:
A novel equilibrium optimizer based on levy flight and iterative cosine operator for engineering optimization problems. - Jae Kyeong Kim, Chang Geun Jeong, Qinglong Li, Il Young Choi:
The demand effect analysis of head books and tail books in book recommendation networks. - Manuel Mora, Fen Wang, Jorge Marx Gómez, Gloria E. Phillips-Wren:
Development methodologies for ontology-based knowledge management systems: A review. - Zhehong Xiang, Guo Zhou, Yongquan Zhou, Qifang Luo:
Golden sine cosine SALP swarm algorithm for shape matching using atomic potential function. - Kökten Ulas Birant:
Multi-view rank-based random forest: A new algorithm for prediction in eSports. - Abdul Wahid, Annavarapu Chandra Sekhara Rao:
RDOF: An outlier detection algorithm based on relative density. - Vinayakumar Ravi, Vasundhara Acharya, Tuan D. Pham:
Attention deep learning-based large-scale learning classifier for Cassava leaf disease classification. - Jun Liu, Shengkai Zhang, Yan Tu, Liang Li, Zongmin Li:
Improved multi-criteria group decision-making method considering hesitant fuzzy preference relations with self-confidence behaviours for environmental pollution emergency response process evaluation.
Volume 39, Number 3, March 2022
- Deepak Gupta, Utku Kose, Oscar Castillo:
Special issue on deep neural networks for biomedical data and imaging. - Pir Masoom Shah, Hamid Ullah, Rahim Ullah, Dilawar Shah, Yulin Wang, Saif ul Islam, Abdullah Gani, Joel J. P. C. Rodrigues:
DC-GAN-based synthetic X-ray images augmentation for increasing the performance of EfficientNet for COVID-19 detection. - Neha Yadav, Sk Md Alfayeed, Aditya Khamparia, Babita Pandey, Dang N. H. Thanh, Sagar Pande:
HSV model-based segmentation driven facial acne detection using deep learning. - Hui Wen Loh, Ooi Chui Ping, Emrah Aydemir, Turker Tuncer, Sengül Dogan, U. Rajendra Acharya:
Decision support system for major depression detection using spectrogram and convolution neural network with EEG signals. - Basetty Mallikarjuna, Gulshan Shrivastava, Meenakshi Sharma:
Blockchain technology: A DNN token-based approach in healthcare and COVID-19 to generate extracted data. - Romany Fouad Mansour, Nada M. Alfaer, Sayed Abdel-Khalek, Maha S. Abdelhaq, Rashid A. Saeed, Raed A. Alsaqour:
Optimal deep learning based fusion model for biomedical image classification. - Jianpeng Yuan, Wensheng Huang, Yongshun Wu, Long Liu, Chao Bu, Shuqiang Wang, Weidong Zhang:
Predictive effect of computed tomography imaging omics features under deep learning on metastatic lymph nodes of nasopharyngeal carcinoma.
- Fadi Al-Turjman:
COVID-19 special issue: Intelligent solutions for computer communication-assisted infectious disease diagnosis. - Chandrakanta Mahanty, Raghvendra Kumar, Brojo Kishore Mishra, D. Jude Hemanth, Deepak Gupta, Ashish Khanna:
Prediction of COVID-19 active cases using exponential and non-linear growth models. - Shouqin Jia, Ying Wang, Wuzhang Wang, Qiang Zhang, Xu Zhang:
Value of medical imaging artificial intelligence in the diagnosis and treatment of new coronavirus pneumonia. - Wengang Qiu, Jun Xie, Yi Shen, Jiang Xu, Jun Liang:
Endoscopic image recognition method of gastric cancer based on deep learning model. - Ye Tian, Zheng Chu, Gang Ma:
Fuzzy logic control theory in clinical anesthesia. - Jinxia He, Kaifeng Zhang:
Medical image analysis of multiple myeloma based on convolutional neural network. - Binjun He, Wenbin Hu, Kang Zhang, Shunda Yuan, Xiaoliang Han, Chao Su, Jiaming Zhao, Guzong Wang, Guoxia Wang, Liuya Zhang:
Image segmentation algorithm of lung cancer based on neural network model. - Chonggen Huang, Zaiqiu Gu, Zhigang Jia, Jiong Yan:
Clinical study of serum procalcitonin in the early diagnosis of burns and sepsis under the background of healthy clouds. - Senthil Kumaran Varadharajan, Viswanathan Nallasamy:
P-SCADA - A novel area and energy efficient FPGA architectures for LSTM prediction of heart arrthymias in biot applications.
- Janmenjoy Nayak, Manohar Mishra, Bighnaraj Naik, Hanumanthu Swapnarekha, Korhan Cengiz, Vimal Shanmuganathan:
An impact study of COVID-19 on six different industries: Automobile, energy and power, agriculture, education, travel and tourism and consumer electronics.
- Yu-Dong Zhang, Suresh Chandra Satapathy, Shui-Hua Wang:
Fruit category classification by fractional Fourier entropy with rotation angle vector grid and stacked sparse autoencoder. - Ajay Singh, Vaibhav Jindal, Rajinder Sandhu, Victor Chang:
A scalable framework for smart COVID surveillance in the workplace using Deep Neural Networks and cloud computing. - Dimple Tiwari, Bhoopesh Singh Bhati, Fadi Al-Turjman, Bharti Nagpal:
Pandemic coronavirus disease (Covid-19): World effects analysis and prediction using machine-learning techniques. - Duygu Çelik Ertugrul, Demet Çelik Ulusoy:
A knowledge-based self-pre-diagnosis system to predict Covid-19 in smartphone users using personal data and observed symptoms. - Tarjni Vyas, Raj Yadav, Chitra Solanki, Rutvi Darji, Shivani Desai, Sudeep Tanwar:
Deep learning-based scheme to diagnose Parkinson's disease. - Sonam Aggarwal, Sheifali Gupta, Adi Alhudhaif, Deepika Koundal, Rupesh Gupta, Kemal Polat:
Automated COVID-19 detection in chest X-ray images using fine-tuned deep learning architectures. - Zaid Abdi Alkareem Alyasseri, Mohammed Azmi Al-Betar, Iyad Abu Doush, Mohammed A. Awadallah, Ammar Kamal Abasi, Sharif Naser Makhadmeh, Osama Ahmad Alomari, Karrar Hameed Abdulkareem, Afzan Adam, Robertas Damasevicius, Mazin Abed Mohammed, Raed Abu Zitar:
Review on COVID-19 diagnosis models based on machine learning and deep learning approaches. - Hemanta Kumar Bhuyan, Chinmay Chakraborty, Yogesh Shelke, Subhendu Kumar Pani:
COVID-19 diagnosis system by deep learning approaches. - Guan Wang, Dandan Li, Jinling Ge, Tao Wang:
Medical informatization of management system for admission office under convolutional neural network. - Anand Kumar Srivastava, Yugal Kumar, Pradeep Kumar Singh:
Hybrid diabetes disease prediction framework based on data imputation and outlier detection techniques. - Ibrahim M. El-Hasnony, Mohamed Elhoseny, Zahraa Tarek:
A hybrid feature selection model based on butterfly optimization algorithm: COVID-19 as a case study. - Lipsita Sahu, Rohit Sharma, Ipsita Sahu, Manoja Das, Bandita Sahu, Raghvendra Kumar:
Efficient detection of Parkinson's disease using deep learning techniques over medical data. - Ihsan Jasim Hussein, Burhanuddin Mohd Aboobaider, Mazin Abed Mohammed, Narjes Benameur, Marwah Suliman Maashi, Mashael S. Maashi:
Fully-automatic identification of gynaecological abnormality using a new adaptive frequency filter and histogram of oriented gradients (HOG). - Malavika Saminathan, Manikandan Ramachandran, Ambeshwar Kumar, Rajkumar Kulandaivel, Ashish Khanna, Prakashkumar Singh:
A study on specific learning algorithms pertaining to classify lung cancer disease. - Deepak Kumar Sharma, Parul Lakhotia, Paras Sain, Shikha Brahmachari:
Early prediction and monitoring of sepsis using sequential long short term memory model. - Remya Remani Sathyan, Gopakumar Chandrasekhara Menon, Hariharan S, Rakhi Thampi, Jude Hemanth Duraisamy:
Traditional and deep-based techniques for end-to-end automated karyotyping: A review. - Enas W. Abdulhay, Maha Alafeef, Hikmat Hadoush, Arunkumar N.:
Autism diagnosis via correlation between vectors of direct quadrature instantaneous frequency of EEG analytic normalized intrinsic mode functions. - Aarya Patel, Ankit Vidyarthi:
PTXNet: An extended UNet model based segmentation of pneumothorax from chest radiography images. - Prerna Sharma, Kapil Sharma:
A novel quantum-inspired binary bat algorithm for leukocytes classification in blood smear. - Auwalu Saleh Mubarak, Sertan Serte, Fadi Al-Turjman, Zubaida Sa'id Ameen, Mehmet Ozsoz:
Local binary pattern and deep learning feature extraction fusion for COVID-19 detection on computed tomography images. - Kavita Sharma:
Internet of healthcare things security vulnerabilities and jamming attack analysis. - Aodi Sui, Wuyong Qian:
Intelligent grey forecasting model based on periodic aggregation generating operator and its application in forecasting clean energy. - José Pereira Delmondes Neto, Ivandré Paraboni:
Multi-source BERT stack ensemble for cross-domain author profiling.
Volume 39, Number 4, May 2022
Emerging Trends in Internet of Things for eHealth and Medical supply Chain Systems
- Victor Chang, Muthu Ramachandran, Chung-Sheng Li:
Special issue editorial on emerging trends in internet of things for e-health and medical supply chain systems. - Rathnamma V. Mydukuri, Suresh Kallam, Rizwan Patan, Fadi Al-Turjman, Manikandan Ramachandran:
Deming least square regressed feature selection and Gaussian neuro-fuzzy multi-layered data classifier for early COVID prediction. - Sandeep Kumar Sood, Keshav Singh Rawat:
Fog-assisted virtual reality-based learning framework to control panic. - Keerthika Periasamy, Suresh Periasamy, Sathiyamoorthi Velayutham, Zuopeng Zhang, Syed Thouheed Ahmed, Anitha Jayapalan:
A proactive model to predict osteoporosis: An artificial immune system approach. - Hocine Hamil, Zahia Zidelmal, Mohamed Salah Azzaz, Samir Sakhi, Redouane Kaibou, Salem Djilali, Djaffar Ould Abdeslam:
Design of a secured telehealth system based on multiple biosignals diagnosis and classification for IoT application. - Chong Ni Ki, Amin Hosseinian Far, Alireza Daneshkhah, Nader Salari:
Topic modelling in precision medicine with its applications in personalized diabetes management.
- Mariano Rincón-Zamorano, Rafael Martínez-Tomás, José Manuel Ferrández de Vicente:
IWINAC'2019: Intelligent systems for cognitive training and assessment. - Guillermo Cano-Escalera, Manuel Graña, Jon Irazusta, Idoia Labayen, Ariadna Besga:
Risk factors for prediction of delirium at hospital admittance. - Daniel González, Miguel A. Patricio, Antonio Berlanga, José M. Molina:
Variational autoencoders for anomaly detection in the behaviour of the elderly using electricity consumption data.
- Parisa Lak, Aysun Bozanta, Can Kavaklioglu, Mucahit Cevik, Ayse Basar, Martin Petitclerc, Graham J. Wills:
A replication study on implicit feedback recommender systems with application to the data visualization recommendation. - Xiuli Mu, Hongyan Zhang:
Embedded electronic medical record text data mining using neural network association classification algorithm. - Jafar Ahmad Abed Alzubi, Omar A. Alzubi, Majdi Beseiso, Anil Kumar Budati, K. Shankar:
Optimal multiple key-based homomorphic encryption with deep neural networks to secure medical data transmission and diagnosis. - Jeremy Straub:
Assessment of the comparative efficiency of software-based Boolean, electronic, software-based fractional value and simplified quantum principal expert systems. - M. Adimoolam, Karthi Govindharaju, John A, Senthilkumar Mohan, Ali Ahmadian, Tiziana Ciano:
A hybrid learning approach for the stage-wise classification and prediction of COVID-19 X-ray images. - Mamillapally Nagaraju, Priyanka Chawla, Shuchi Upadhyay, Rajeev Tiwari:
Convolution network model based leaf disease detection using augmentation techniques. - Tingting Jiang, Hao Wang, Xiangfeng Luo, Shaorong Xie, Jingchao Wang:
MIFAS: Multi-source heterogeneous information fusion with adaptive importance sampling for link prediction. - K. Mrinalini, P. Vijayalakshmi, T. Nagarajan:
Feature-weighted AdaBoost classifier for punctuation prediction in Tamil and Hindi NLP systems. - Tribhuvan Singh:
Handling multiple objectives using k-means clustering guided multiobjective evolutionary algorithm. - Gustavo H. de Rosa, Mateus Roder, João P. Papa:
Neighbour-based bag-of-samplings for person identification through handwritten dynamics and convolutional neural networks. - Farimah Houshmand Nanehkaran, Seyed Mohammadreza Lajevardi, Mahmoud Mahlouji Bidgholi:
Optimization of fuzzy similarity by genetic algorithm in user-based collaborative filtering recommender systems. - Abhishek Kumar, Jyoti Rawat, Indrajeet Kumar, Mamoon Rashid, Kamred Udham Singh, Yasser D. Al-Otaibi, Usman Tariq:
Computer-aided deep learning model for identification of lymphoblast cell using microscopic leukocyte images. - Alexia G. Tzalavra, Ioannis Andreadis, Kalliopi V. Dalakleidi, Fotios Constantinidis, Evangelia I. Zacharaki, Konstantina S. Nikita:
Dynamic contrast enhanced-magnetic resonance imaging radiomics combined with a hybrid adaptive neuro-fuzzy inference system-particle swarm optimization approach for breast tumour classification. - Satyender, Sanjeev Kumar Dhull, Krishna Kant Singh:
ESIMD: Epileptic seizure identification using metaheuristic deep learning technique. - Ali Aydogdu, Sait Gül:
New entropy propositions for interval-valued spherical fuzzy sets and their usage in an extension of ARAS (ARAS-IVSFS). - Soumya Ranjan Nayak, Janmenjoy Nayak, S. Vimal, Vaibhav Arora, Utkarsh Sinha:
An ensemble artificial intelligence-enabled MIoT for automated diagnosis of malaria parasite. - Raphael Elimeli Nuhoho, Wenyu Chen, Adu Asare Baffour:
A semi-supervised network based on feature embeddings for image classification. - Mahdi Ravakhah, Mehrdad Jalali, Yahya Forghani, Reza Sheibani:
Balanced hierarchical max margin matrix factorization for recommendation system. - Hesam Varaee, Mohammad Reza Ghasemi:
An improved chaotic ideal gas molecular movement algorithm for engineering optimization problems. - Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Saeid Raziani, Abdolah Chalechale:
An efficient cardiovascular disease detection model based on multilayer perceptron and moth-flame optimization. - Muhammet Aktas, Zeki Yetgin, Fatih Kiliç, Önder Sünbül:
Automated test design using swarm and evolutionary intelligence algorithms.
Volume 39, Number 5, June 2022
Big Data Analytics with IoT-Oriented Infrastructures for Future Smart Cities
- Rohit Sharma, Deepak Gupta, Andino Maseleno, Sheng-Lung Peng:
Introduction to the special issue on big data analytics with internet of things-oriented infrastructures for future smart cities. - A. K. M. Bahalul Haque, Bharat Bhushan, Gaurav Dhiman:
Conceptualizing smart city applications: Requirements, architecture, security issues, and emerging trends. - Qi Zhang, Yishu Liu:
Smart user experience medical app interface design based on mobile devices. - Himanshu, Rajesh Khanna, Anil Kumar:
Knowledge acquisition for 3D coordinates of target in wireless sensor networks for smart city application. - Shamik Tiwari, Anurag Jain, Nada Mohamed Osman Sid Ahmed, Charu, Lulwah M. Alkwai, Alaa Kamal Yousif Dafhalla, Sawsan Ali Saad Hamad:
Machine learning-based model for prediction of power consumption in smart grid- smart way towards smart city. - Dilip Mandloi, Rajeev Arya:
Seamless connectivity with 5G enabled unmanned aerial vehicles base stations using machine programming approach. - Palak Dixit, Pronaya Bhattacharya, Sudeep Tanwar, Rajesh Gupta:
Anomaly detection in autonomous electric vehicles using AI techniques: A comprehensive survey.
- Varun G. Menon, Reza Khosravi, Alireza Jolfaei, Akshi Kumar, P. Vinod:
Cognitive smart cities: Challenges and trending solutions. - Sudeep Tanwar, Aarti Popat, Pronaya Bhattacharya, Rajesh Gupta, Neeraj Kumar:
A taxonomy of energy optimization techniques for smart cities: Architecture and future directions. - Yichuan Zhang, Yadi Liu, Guangming Yang, Jie Song:
DFT: A deep feature-based semi-supervised collaborative training for vehicle recognition in smart cities. - Youcef Djenouri, Asma Belhadi, Gautam Srivastava, Essam H. Houssein, Jerry Chun-Wei Lin:
Sensor data fusion for the industrial artificial intelligence of things. - Mohammad Ayoub Khan:
A formal method for privacy-preservation in cognitive smart cities. - Saurabh Raj Sangwan, Mohinder Pal Singh Bhatia:
Soft computing for abuse detection using cyber-physical and social big data in cognitive smart cities. - Robson V. Mendonça, Juan E. Casavílca Silva, Renata Lopes Rosa, Muhammad Saadi, Demóstenes Zegarra Rodríguez, Ahmed Farouk:
A lightweight intelligent intrusion detection system for industrial internet of things using deep learning algorithms.
- Nojood O. Aljehane, Romany Fouad Mansour:
Big data analytics with oppositional moth flame optimization based vehicular routing protocol for future smart cities. - Canxin Zhou, Siqi Chen, Xinhan Li, Xuxia Ying:
Diagnosis of infectious factors in patients with chronic glomerular disease using deep learning-based health information data. - Manisha Vashisht, Brijesh Kumar:
Effective implementation of machine learning algorithms using 3D colour texture feature for traffic sign detection for smart cities. - Aarti Goel, Deepak Kumar Sharma, Koyel Datta Gupta:
LEOBAT: Lightweight encryption and OTP based authentication technique for securing IoT networks. - Mahammad Shareef Mekala, Gaurav Dhiman, Rizwan Patan, Suresh Kallam, Kadiyala Ramana, Kusum Yadav, Ali O. Alharbi:
Deep learning-influenced joint vehicle-to-infrastructure and vehicle-to-vehicle communication approach for internet of vehicles. - Pooja Anand, Yashwant Singh, Arvind Kumar Selwal, Pradeep Kumar Singh, Kayhan Zrar Ghafoor:
IVQFIoT: An intelligent vulnerability quantification framework for scoring internet of things vulnerabilities. - Lalit Mohan Joshi, Rajendra Kumar Bharti, Rajesh Singh:
Internet of things and machine learning-based approaches in the urban solid waste management: Trends, challenges, and future directions. - Mostefa Kara, Abdelkader Laouid, Mohammed Amine Yagoub, Reinhardt Euler, Saci Medileh, Mohammad Hammoudeh, Amna Eleyan, Ahcène Bounceur:
A fully homomorphic encryption based on magic number fragmentation and El-Gamal encryption: Smart healthcare use case. - Ram Srinivasan, Venki Balasubramanian, Abhishek Vidyasagar:
A supervised learning model to identify the star potential of a basketball player. - Joy Krishan Das, Amitabha Chakrabarty, Md. Jalil Piran:
Environmental sound classification using convolution neural networks with different integrated loss functions. - Prabu A. V., G. Sateesh Kumar, Rajasoundaran Soundararajan, Prince Priya Malla, Sidheswar Routray, Amrit Mukherjee:
Internet of things-based deeply proficient monitoring and protection system for crop field. - Sandeep Verma:
Energy-efficient routing paradigm for resource-constrained Internet of Things-based cognitive smart city. - Jiabang Liu, Xutong Jiang, Song Zhang, Bowen Liu, Wanchun Dou:
CPP: A content-aware privacy protection method for location-based service. - Sumair Aziz, Muhammad Umar Khan, Abdul Rehman, Zain Tariq, Khushbakht Iqtidar:
Computer-aided diagnosis of COVID-19 disease from chest X-ray images integrating deep feature extraction. - Ehsan Jokar, Mohammad Mosleh, Mohammad Kheyrandish:
Overlapping community detection in complex networks using fuzzy theory, balanced link density, and label propagation. - Ashima Khosla, Padmavati Khandnor, Trilok Chand:
EEG-based automatic multi-class classification of epileptic seizure types using recurrence plots. - Jianhui Liu, Jiao Wang, Panpan Ma, Juanjing Geng, Wenyan Chen, Zhiping Sun:
Analysis of risk factors for blood transfusion in preterm infants based on statistical analyses. - Deepika Bansal, Kavita Khanna, Rita Chhikara, Rakesh Kumar Dua, Rajeev Malhotra:
A superpixel powered autoencoder technique for detecting dementia. - Palak Handa, Nidhi Goel:
Peri-ictal and non-seizure EEG event detection using generated metadata. - Zahra Roozbahani, Jalal Rezaeenour, Ali Katanforoush, Amir Jalaly Bidgoly:
Personalization of the collaborator recommendation system in multi-layer scientific social networks: A case study of ResearchGate. - Khalil Bousbai, Juan Morales-Sánchez, Mostefa Merah, José-Luis Sancho-Gómez:
Improving hand gestures recognition capabilities by ensembling convolutional networks. - Muhammad Riaz, Harish Garg, Muhammad Tahir Hamid, Deeba Afzal:
Modelling uncertainties with TOPSIS and GRA based on q-rung orthopair m-polar fuzzy soft information in COVID-19. - Dagmawi Moges, Jiaxu Zhao, Hong Qu:
Sequential multi-headed attention for entity-based relational neural networks. - The-Hanh Pham, Oliver Faust, Joel Koh En Wei, Edward J. Ciaccio, Prabal Datta Barua, Norlia Omar, Wei Lin Ng, Nazimah Ab Mumin, Kartini Rahmat, U. Rajendra Acharya:
Fusion of B-mode and shear wave elastography ultrasound features for automated detection of axillary lymph node metastasis in breast carcinoma. - Ayça Deniz, Hakan Ezgi Kiziloz, Ender Sevinç, Tansel Dökeroglu:
Predicting the severity of COVID-19 patients using a multi-threaded evolutionary feature selection algorithm. - Xiaoxiao Yu, Xinzhi Wang, Xiangfeng Luo, Jianqi Gao:
Multi-scale event causality extraction via simultaneous knowledge-attention and convolutional neural network.
Volume 39, Number 6, July 2022
Advances in Robotics for Healthcare
- Carlos Enrique Montenegro-Marín, Paulo Alonso Gaona-García, Edward Rolando Núñez-Valdéz:
Advances in robotics for healthcare. - Abolfazl Mehbodniya, Arokia Jesu Prabhu Lazar, Julian L. Webber, Dilip Kumar Sharma, Santhosh Jayagopalan, Kittusamy Kousalya, Pallavi Singh, Regin Rajan, Sharnil Pandya, Sudhakar Sengan:
Fetal health classification from cardiotocographic data using machine learning. - Li Li, Yi Lu, Hongmei Li, Ai Lan Liu:
Study on the effect of mental health nursing intervention after gynecological tumour operation based on clustering model. - Hui Teng:
Improved grey-level correlation feature and neural network model for medical resource requirement prediction. - Nour Eldeen Mahmoud Khalifa, Gunasekaran Manogaran, Mohamed Hamed N. Taha, Mohamed Loey:
A deep learning semantic segmentation architecture for COVID-19 lesions discovery in limited chest CT datasets. - Asma Belhadi, Youcef Djenouri, Vicente García-Díaz, Essam H. Houssein, Jerry Chun-Wei Lin:
Hybrid intelligent framework for automated medical learning. - C. Rajive Gandhi, Murugesh Veerasamy:
Detection of neurodegenerative disease in brain using region splitting based segmentation with deep unsupervised neural networks.
- Honghao Gao, Yudong Zhang, Walayat Hussain:
Special issue on intelligent software engineering. - Yuyu Yin, Jiajie Ruan, Youhuizi Li, Yu Li, Zhijin Pan:
Syntax-based metamorphic relation prediction via the bagging framework. - Zheng Liu, Guisheng Fan, Huiqun Yu, Liqiong Chen:
Modelling and analysing the reliability for microservice-based cloud application based on predicate Petri net. - Huihui Cheng, Hongwei Zeng:
Optimizing demand-driven null dereference verification via merging branches. - Weilong Ding, Ji Liu, Zhongguo Yang, Bo Lv, Han Li, Hanchuan Xu:
A multi-tenancy and robust workflow management system. - Yanyang Zhao, Yawen Wang, Dalin Zhang, Yunzhan Gong:
Eliminating the high false-positive rate in defect prediction through BayesNet with adjustable weight. - Tianchen Zhang, Zhongqin Bi, Meijing Shan, Yongbin Li:
IFGAN: Information fusion generative adversarial network for knowledge base completion.
- Vishwanath Bijalwan, Vijay Bhaskar Semwal, Ghanapriya Singh, Rubén González Crespo:
Heterogeneous computing model for post-injury walking pattern restoration and postural stability rehabilitation exercise recognition. - Rahul Jain, Vijay Bhaskar Semwal, Praveen Kaushik:
Deep ensemble learning approach for lower extremity activities recognition using wearable sensors. - Rajalakshmi Selvaraj, Venu Madhav Kuthadi, S. Baskar:
Human muscle rigidity identification by human-robot approximation characteristics framework on internet of things platform. - Malliga Subramanian, Shanmuga Vadivel Kogilavani, Wesam Atef Hatamleh, Abeer Ali Alnuaim, Mohamed Abdelhady, Sathishkumar V. E.:
The role of contemporary digital tools and technologies in COVID-19 crisis: An exploratory analysis. - Shi Qi, Lei Liu, B. Santhosh Kumar, A. Prathik:
An English teaching quality evaluation model based on Gaussian process machine learning. - Li Kuang, Fan Ge, Lingyan Zhang:
Suggesting method names based on graph neural network with salient information modelling. - Gang Yao, Xiaojian Hu, Taiyun Zhou, Yue Zhang:
Enterprise credit risk prediction using supply chain information: A decision tree ensemble model based on the differential sampling rate, Synthetic Minority Oversampling Technique and AdaBoost. - Navleen Kour, Sunanda Gupta, Sakshi Arora:
A vision-based clinical analysis for classification of knee osteoarthritis, Parkinson's disease and normal gait with severity based on k-nearest neighbour. - Amir Masoud Rahmani, Iman AliAbdi:
Plant competition optimization: A novel metaheuristic algorithm. - Shuvodeep Saha, Komal Jindal, Divya Shakti, Suman Tewary, Viren Sardana:
Chirplet transform-based machine-learning approach towards classification of cognitive state change using galvanic skin response and photoplethysmography signals. - Pradeepika Verma, Anshul Verma, Sukomal Pal:
A fusion of variants of sentence scoring methods and collaborative word rankings for document summarization.
Volume 39, Number 7, August 2022
Recent Advances in Deep Learning, Biometrics, Health Informatics and Data Science
- Steven Lawrence Fernandes, Roshan Joy Martis, Hong Lin, Bahman Javadi, Urcun John Tanik, Muhammad Sharif:
Special issue: Recent advances in deep learning, biometrics, health informatics and data science. - Ankit A. Bhurane, Shivani Dhok, Manish Sharma, Yuvaraj Rajamanickam, Murugappan Murugappan, U. Rajendra Acharya:
Diagnosis of Parkinson's disease from electroencephalography signals using linear and self-similarity features. - Muhammad Attique Khan, Muhammad Imran Sharif, Mudassar Raza, Muhammad Almas Anjum, Tanzila Saba, Shafqat Ali Shad:
Skin lesion segmentation and classification: A unified framework of deep neural network features fusion and selection. - Durga Sivan, Mohan Sellappa, J. Dinesh Peter:
Proximity-based cloud resource provisioning for deep learning applications in smart healthcare. - Habiba Arshad, Muhammad Attique Khan, Muhammad Imran Sharif, Mussarat Yasmin, João Manuel R. S. Tavares, Yudong Zhang, Suresh Chandra Satapathy:
A multilevel paradigm for deep convolutional neural network features selection with an application to human gait recognition. - Roohallah Alizadehsani, Mohamad Roshanzamir, Moloud Abdar, Adham Beykikhoshk, Abbas Khosravi, Saeid Nahavandi, Pawel Plawiak, Ru San Tan, U. Rajendra Acharya:
Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries. - Niranjana Sampathila, Pavithra, Roshan Joy Martis:
Computational approach for content-based image retrieval of K-similar images from brain MR image database.
- Neetu Kushwaha, Millie Pant, Sugam Sharma:
Electromagnetic optimization-based clustering algorithm. - Alishba Adeel, Muhammad Attique Khan, Tallha Akram, Abida Sharif, Mussarat Yasmin, Tanzila Saba, Kashif Javed:
Entropy-controlled deep features selection framework for grape leaf diseases recognition. - Aayush Kumar, Sanat B. Singh, Suresh Chandra Satapathy, Minakhi Rout:
MOSQUITO-NET: A deep learning based CADx system for malaria diagnosis along with model interpretation using GradCam and class activation maps. - Melike Nur Yegin, Ömer Kurttekin, Serkan Kaan Bahsi, Mehmet Fatih Amasyali:
Training with growing sets: A comparative study. - Anwer Mustafa Hilal, Rana Alabdan, Mohamed Tahar Ben Othman, Siwar Ben Haj Hassine, Fahd N. Al-Wesabi, Mohammed Rizwanullah, Ishfaq Yaseen, Abdelwahed Motwakel:
Modelling of biosignal based decision making model for intracranial haemorrhage diagnosis in IoT environment. - Vinayakumar Ravi, Harini Narasimhan, Tuan D. Pham:
A cost-sensitive deep learning-based meta-classifier for pediatric pneumonia classification using chest X-rays. - Kuldeep Singh Yadav, Anish Monsley Kirupakaran, Rabul Hussain Laskar, Manas Kamal Bhuyan, Taimoor Khan:
Design and development of a vision-based system for detection, tracking and recognition of isolated dynamic bare hand gesticulated characters. - Bin Cao, Hao Chen, Zijie Wang, Ting Wang, Jing Fan:
Deriving the minimum staff number requirement for intelligent staff scheduling: An efficient constructive method and application. - Sunil Kumar Jha, Jinwei Wang, Raju Shanmugam:
An accurate soft diagnosis method of breast cancer using the operative fusion of derived features and classification approaches. - Bruno Ziegler Haselein, Jonny Carlos da Silva:
A knowledge-based system for electric motors compliance verification in a multinational-level company. - Kalicharan Sahu, Sonajharia Minz:
Self-adaptive-deer hunting optimization-based optimal weighted features and hybrid classifier for automated disease detection in plant leaves. - Gil Jae Song, Hee Seok Song:
Algorithm for generating negative cases for collaborative filtering recommender. - Pelin Yildirim Taser:
A novel multi-view ordinal classification approach for software bug prediction.
Volume 39, Number 8, September 2022
- Jayaram Boga, V. Dhilip Kumar:
Human activity recognition by wireless body area networks through multi-objective feature selection with deep learning. - André L. Zanon, Luan Souza, Diany Pressato, Marcelo Garcia Manzato:
A user study with aspect-based sentiment analysis for similarity of items in content-based recommendations. - Betül Sultan Yildiz, Sumit Kumar, Nantiwat Pholdee, Sujin Bureerat, Sadiq M. Sait, Ali Riza Yildiz:
A new chaotic Lévy flight distribution optimization algorithm for solving constrained engineering problems. - Eduardo Guzmán, María-Victoria Belmonte, Viviane Maria Lelis:
Ensemble methods for meningitis aetiology diagnosis. - Shakiroh Khamis, Mazida Ahmad, Azizah Ahmad, Mohammad Nazir Ahmad:
Internet use behaviour model for predicting students' performance. - Savita Wadhawan, Raman Maini:
EBPSO: Enhanced binary particle swarm optimization for cardiac disease classification with feature selection. - Sumera Naz, Muhammad Akram, Arsham Borumand Saeid, Aniqa Saadat:
Models for MAGDM with dual hesitant q-rung orthopair fuzzy 2-tuple linguistic MSM operators and their application to COVID-19 pandemic. - Masood Ghayoomi, Maryam Mousavian:
Deep transfer learning for COVID-19 fake news detection in Persian. - Sumair Aziz, Muhammad Umar Khan, Khushbakht Iqtidar, Sadaqat Ali, Ancuta Nicoleta Remete, Muhammad Arshad Javid:
Pulse plethysmograph signal analysis method for classification of heart diseases using novel local spectral ternary patterns. - Tarun Agrawal, Prakash Choudhary:
EfficientUNet: Modified encoder-decoder architecture for the lung segmentation in chest x-ray images. - Ziyang Li, Xingyu Zhang, Wenju Wang, Zhi Li:
Multi-criteria probabilistic dual hesitant fuzzy group decision making for supply chain finance credit risk assessments. - Harun Ur Rashid, Turgay Ibrikci, Semra Paydas, Figen Binokay, Ulus Çevik:
Analysis of breast cancer classification robustness with radiomics feature extraction and deep learning techniques. - Maryam Bibi, Anmol Hamid, Momina Moetesum, Imran Siddiqi:
Document forgery detection using source printer identification: A comparative study of text-dependent versus text-independent analysis. - Harpreet Singh, Birmohan Singh, Manpreet Kaur:
An efficient feature selection method based on improved elephant herding optimization to classify high-dimensional biomedical data. - Vaibhav Tiwari, Rakesh Chandra Joshi, Malay Kishore Dutta:
Deep neural network for multi-class classification of medicinal plant leaves.
Volume 39, Number 9, November 2022
Computational Intelligence Applied to Cybersecurity
- Álvaro Herrero, Daniel Urda, Javier Sedano, Héctor Quintián, Emilio Corchado:
Computational intelligence applied to cybersecurity. - Felipe Barreno, Manuel G. Romana, Matilde Santos:
Fuzzy expert system for road type identification and risk assessment of conventional two-lane roads. - Daniel Wilusz, Adam Wójtowicz:
Secure protocols for smart contract based insurance services. - Francisco Zayas-Gato, Esteban Jove, José Luís Casteleiro-Roca, Héctor Quintián, Andrés José Piñón Pazos, Dragan Simic, José Luís Calvo-Rolle:
A hybrid one-class approach for detecting anomalies in industrial systems. - Francisco Javier Rodríguez-Lera, Miguel Ángel González Santamarta, Ángel Manuel Guerrero-Higueras, Francisco Martín Rico, Vicente Matellán Olivera:
Towards explainability in robotics: A performance analysis of a cloud accountability system.
- Syed Hassan Ahmed, Murad Khan, Wael Guibène:
Special issue 'role of artificial intelligence in medical imaging'. - Ahed Abugabah, Atif Mehmood, Sultan Almotairi, Ahmad Al Smadi:
Health care intelligent system: A neural network based method for early diagnosis of Alzheimer's disease using MRI images. - V. S. S. P. Raju Gottumukkala, N. Kumaran, V. Chandra Sekhar:
BLSNet: Skin lesion detection and classification using broad learning system with incremental learning algorithm. - Xiaoning Zhao, Yong Liu, Mingyan Sun, Yingying Wang, Bailing Qian:
Detecting pulmonary oedema in lung resection patient through point-of-care lung ultrasonography. - Rajaram Sampath, Manickam Baskar:
3D brain image-based Alzheimer's disease detection techniques using fish swarm optimizer's deep convolution Siamese neural network. - Gul Shaira Banu Jahangeer, T. Dhiliphan Rajkumar:
Detecting breast cancer using novel mask R-CNN techniques. - Taher M. Ghazal, Nasser Taleb:
Feature optimization and identification of ovarian cancer using internet of medical things.
- Zezheng Feng, Huamin Qu, Shuang-Hua Yang, Yulong Ding, Jie Song:
A survey of visual analytics in urban area. - Mohammed Sayeeduddin Habeeb, Tummala Ranga Babu:
Network intrusion detection system: A survey on artificial intelligence-based techniques.
- P. Bharat Siva Varma, Siddartha Paturu, Suman Mishra, B. Srinivasa Rao, Pala Mahesh Kumar, Namani Vamshi Krishna:
SLDCNet: Skin lesion detection and classification using full resolution convolutional network-based deep learning CNN with transfer learning. - Deepak V. K., Sarath R:
Classification of brain tumours in MRI images using convolutional neural network through Cat Swarm Optimization. - Arunkumar Arumugam, Pitchandi Velrajkumar, Gopalsamy Venkadakrishnan Sriramakrishnan, Satish Muppidi:
Feedback Artificial Tree-Anti Corona Virus Optimization enabled deep learning for detecting autism spectrum disorder. - Maoze Zhou, Hongjiu Liu, Yanrong Hu:
Research on corporate financial performance prediction based on self-organizing and convolutional neural networks. - Md. Rakibul Hasan, Md. Mahbub Hasan, Md. Zakir Hossain:
Effect of vocal tract dynamics on neural network-based speech recognition: A Bengali language-based study. - Arnab Kumar Mishra, Pinki Roy, Sivaji Bandyopadhyay, Sujit Kumar Das:
A multi-task learning based approach for efficient breast cancer detection and classification. - Prasannavenkatesan Theerthagiri, A. Usha Ruby:
RFFS: Recursive random forest feature selection based ensemble algorithm for chronic kidney disease prediction. - Honglei He, Yuxuan He, Fang Wang, Wenming Zhu:
Improved K-means algorithm for clustering non-spherical data. - Sheng Ang, Hui Wu, Menghan Chen, Feng Yang:
Social network analysis for cross-evaluation in data envelopment analysis. - Prasannavenkatesan Theerthagiri, Jyothiprakash Vidya:
Cardiovascular disease prediction using recursive feature elimination and gradient boosting classification techniques. - Alper Sarikaya, Banu Günel Kiliç, Mehmet Demirci:
GRU-GBM: A combined intrusion detection model using LightGBM and gated recurrent unit.
Volume 39, Number 10, December 2022
Blockchain-based 6G and Industrial Internet of Things Systems for Industry 4.0/5.0
- Gaurav Dhiman, Atulya K. Nagar:
Editorial: Blockchain-based 6G and industrial internet of things systems for industry 4.0/5.0. - Pratima Sharma, Nageswara Rao Moparthi, Suyel Namasudra, Vimal Shanmuganathan, Ching-Hsien Hsu:
Blockchain-based IoT architecture to secure healthcare system using identity-based encryption. - Qasem Abu Al-Haija, Ahmad Al Badawi, Giridhar Reddy Bojja:
Boost-Defence for resilient IoT networks: A head-to-toe approach. - Erukala Suresh Babu, Ajay Kumar Dadi, Krishna Kant Singh, Soumya Ranjan Nayak, Akash Kumar Bhoi, Akansha Singh:
A distributed identity-based authentication scheme for internet of things devices using permissioned blockchain system. - Abolfazl Mehbodniya, Julian L. Webber, Rahul Neware, Farrukh Arslan, Raja Varma Pamba, Mohammad Shabaz:
Modified Lamport Merkle Digital Signature blockchain framework for authentication of internet of things healthcare data. - Vigneysh Thangavel, Velamuri Suresh, M. V. V. Prasad Kantipudi, Wattana Viriyasitavat:
An intelligent robust cascaded control scheme for renewable energy based microgrid. - Suvarna Patil, Prasad Gokhale:
Multi-criteria approach for handling sophisticated data transmission over gateways in blockchain and Internet of Things (IoT) federated networks.
- Deepak Gupta:
Special issue on International Conference on Computing and Communication Networks. - Dheyaa Ahmed Ibrahim, Dilovan Asaad Zebari, Hussam J. Mohammed, Mazin Abed Mohammed:
Effective hybrid deep learning model for COVID-19 patterns identification using CT images. - Indresh Kumar Gupta, Abha Choubey, Siddhartha Choubey:
Artifical intelligence with optimal deep learning enabled automated retinal fundus image classification model. - Fan Zhang, Chenguang Guo, Shifeng Zhang, Qinqin Zeng, Tri Gia Nguyen:
A genetic algorithm-based on-orbit self-repair implementation for SRAM FPGAs. - Awanish Kumar Mishra, Narendra Kohli:
An intelligent optimization algorithm with a deep learning-enabled block-based motion estimation model. - Parminder Pal Singh Bedi, Manju Bala, Kapil Sharma:
Extractive summarization using concept-space and keyword phrase. - Radwa Marzouk, Jaber S. Alzahrani, Fadwa M. Alrowais, Fahd N. Al-Wesabi, Manar Ahmed Hamza:
Quasi-oppositional wild horse optimization based multi-agent path finding scheme for real time IoT systems. - Dakshnamoorthy Vinoth, Prabhavathy Panneer:
Automated sarcasm detection and classification using hyperparameter tuned deep learning model for social networks. - Vincent Omollo Nyangaresi, Musheer Ahmad, Ahmed Alkhayyat, Wei Feng:
Artificial neural network and symmetric key cryptography based verification protocol for 5G enabled Internet of Things. - Moolchand Sharma, Suman Deswal:
Drugs-Protein affinity-score prediction using deep convolutional neural network. - Mohammed Maray, Mohammed Alghamdi, Fatma S. Alrayes, Saud S. Alotaibi, Sana Alazwari, Rana Alabdan, Mesfer Al Duhayyim:
Intelligent metaheuristics with optimal machine learning approach for malware detection on IoT-enabled maritime transportation systems.
- Abdullahi Umar Ibrahim, Mehmet Ozsoz, Sertan Serte, Fadi M. Al-Turjman, Salahudeen Habeeb Kolapo:
Convolutional neural network for diagnosis of viral pneumonia and COVID-19 alike diseases. - Wilhelm Rödder, Andreas Dellnitz, Sebastian Litzinger:
Analysing terrorist networks - An entropy-driven method. - Xia Li, Huali Yang, Shengze Hu, Jing Geng, Keke Lin, Yuhai Li:
Enhanced hybrid neural network for automated essay scoring. - Law Kumar Singh, Munish Khanna, Shankar Thawkar:
A novel hybrid robust architecture for automatic screening of glaucoma using fundus photos, built on feature selection and machine learning-nature driven computing. - Preeti Kathiria, Harshal A. Arolkar:
Trend analysis and forecasting of publication activities by Indian computer science researchers during the period of 2010-23. - Mohamed A. Mostafa, Muhammad Al-Qurishi, Atif Alamri, Mehmet Sabih Aksoy, Ahmed Z. Emam:
Novel graphical family tree representation to develop an interactive expert system. - Kulandaivel Balakrishnan, Ramasamy Dhanalakshmi, Gopalakrishnan Seetharaman:
S-shaped and V-shaped binary African vulture optimization algorithm for feature selection.
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