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ORCIDMohammad Shorfuzzaman
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2020 – today
- 2024
[j43]K. Rajesh
, Logesh Ravi, Nalluri Madhusudana Rao, V. Ramaswamy, J. Senthil Kumar, K. Kannan, Mohammad Shorfuzzaman, Amr H. Yousef, Mohamed Elsaid Ragab Elkholy, Sasikumar Asaithambi:
Czekanowsky Hypergraph-Based Deep Learning Classifier for Precision Cyclone Forecasting. IEEE Access 12: 102552-102565 (2024)- [j42]Loveleen Gaur, Mohan Bhandari, Bhadwal Singh Shikhar, NZ Jhanjhi, Mohammad Shorfuzzaman, Mehedi Masud:
Explanation-Driven HCI Model to Examine the Mini-Mental State for Alzheimer's Disease. ACM Trans. Multim. Comput. Commun. Appl. 20(2): 41:1-41:16 (2024) - 2023
- [j41]Adnan Ahmed Rafique, Amal Al-Rasheed, Amel Ksibi, Manel Ayadi, Ahmad Jalal, Khaled Alnowaiser, Hossam Meshref, Mohammad Shorfuzzaman, Munkhjargal Gochoo, Jeongmin Park:
Smart Traffic Monitoring Through Pyramid Pooling Vehicle Detection and Filter-Based Tracking on Aerial Images. IEEE Access 11: 2993-3007 (2023) - [j40]Usman Azmat, Saud S. Alotaibi, Maha S. Abdelhaq, Nawal Alsufyani, Mohammad Shorfuzzaman, Ahmad Jalal, Jeongmin Park:
Aerial Insights: Deep Learning-Based Human Action Recognition in Drone Imagery. IEEE Access 11: 83946-83961 (2023) - [j39]Puah Jia Hong, Muhammad Adeel Asghar, Amin Ullah, Mohammad Shorfuzzaman, Mehedi Masud, Raja Majid Mehmood:
AI-based Bayesian inference scheme to recognize electroencephalogram signals for smart healthcare. Clust. Comput. 26(2): 1221-1230 (2023) - [j38]Zijian Zhou, Muhammad Adeel Asghar, Daniyal Nazir, Kamran Siddique, Mohammad Shorfuzzaman, Raja Majid Mehmood:
An AI-empowered affect recognition model for healthcare and emotional well-being using physiological signals. Clust. Comput. 26(2): 1253-1266 (2023) - [j37]Rajendrani Mukherjee, Aurghyadip Kundu, Indrajit Mukherjee, Deepak Gupta, Prayag Tiwari, Ashish Khanna, Mohammad Shorfuzzaman:
IoT-cloud based healthcare model for COVID-19 detection: an enhanced k-Nearest Neighbour classifier based approach. Computing 105(4): 849-869 (2023) - [j36]Mohammad Shorfuzzaman:
IoT-enabled stacked ensemble of deep neural networks for the diagnosis of COVID-19 using chest CT scans. Computing 105(4): 887-908 (2023) - [j35]Mohib Ullah Khan, Ata Ullah, Isra Naz, Sajjad Haider, Nz Jhanji, Mohammad Shorfuzzaman, Mehedi Masud:
Alpha Fusion Adversarial Attack Analysis Using Deep Learning. Comput. Syst. Sci. Eng. 46(1): 461-473 (2023) - [j34]Hanan Aljuaid, Israr Akhter, Nawal Alsufyani, Mohammad Shorfuzzaman, Mohammed Alarfaj, Khaled Alnowaiser, Ahmad Jalal, Jeongmin Park:
Postures anomaly tracking and prediction learning model over crowd data analytics. PeerJ Comput. Sci. 9: e1355 (2023) - [j33]M. Shamim Hossain, Mohammad Shorfuzzaman:
MetaParkinson: A Cyber-Physical Deep Meta-Learning Framework for n-Shot Diagnosis and Monitoring of Parkinson's Patients. IEEE Syst. J. 17(4): 5251-5260 (2023) - [j32]Yazhou Zhang, Dan Ma, Prayag Tiwari, Chen Zhang, Mehedi Masud, Mohammad Shorfuzzaman, Dawei Song:
Stance-level Sarcasm Detection with BERT and Stance-centered Graph Attention Networks. ACM Trans. Internet Techn. 23(2): 27:1-27:21 (2023) - [c9]Lutful Karim, Md Nour Hossain, Nargis Khan, Mohammad Shorfuzzaman, Jalal Almhana, Nidal Nasser:
Sensor-based Wastewater Monitoring Framework to Detect COVID-19. WiMob 2023: 387-392 - 2022
- [j31]Fahima Hajjej, Madiha Javeed, Amel Ksibi, Mohammed Alarfaj, Khaled Alnowaiser, Ahmad Jalal, Nawal Alsufyani, Mohammad Shorfuzzaman, Jeongmin Park:
Deep Human Motion Detection and Multi-Features Analysis for Smart Healthcare Learning Tools. IEEE Access 10: 116527-116539 (2022) - [j30]K. Shankar, Eswaran Perumal, Prayag Tiwari, Mohammad Shorfuzzaman, Deepak Gupta:
Deep learning and evolutionary intelligence with fusion-based feature extraction for detection of COVID-19 from chest X-ray images. Multim. Syst. 28(4): 1175-1187 (2022) - [j29]Muhammad Adeel Asghar, Muhammad Jamil Khan, Muhammad Rizwan, Mohammad Shorfuzzaman, Raja Majid Mehmood:
AI inspired EEG-based spatial feature selection method using multivariate empirical mode decomposition for emotion classification. Multim. Syst. 28(4): 1275-1288 (2022) - [j28]Mohammad Shorfuzzaman:
An explainable stacked ensemble of deep learning models for improved melanoma skin cancer detection. Multim. Syst. 28(4): 1309-1323 (2022) - [j27]Madiha Javeed, Mohammad Shorfuzzaman, Nawal Alsufyani, Samia Allaoua Chelloug, Ahmad Jalal, Jeongmin Park:
Physical human locomotion prediction using manifold regularization. PeerJ Comput. Sci. 8: e1105 (2022) - [j26]Mehak Sheikh, Muhammad Adeel Asghar, Ruqia Bibi, Muhammad Noman Malik, Mohammad Shorfuzzaman, Raja Majid Mehmood, Sun-Hee Kim:
DFT-Net: Deep Feature Transformation Based Network for Object Categorization and Part Segmentation in 3-Dimensional Point Clouds. Sensors 22(7): 2512 (2022) - [j25]Abdullah Alghamdi, Jiang Zhu, Guocai Yin, Mohammad Shorfuzzaman, Nawal Alsufyani, Sultan Alyami, Sujit Biswas:
Blockchain Empowered Federated Learning Ecosystem for Securing Consumer IoT Features Analysis. Sensors 22(18): 6786 (2022) - [j24]Marcin Wozniak, Andrzej Sikora, Adam Zielonka, Kuljeet Kaur, M. Shamim Hossain, Mohammad Shorfuzzaman:
Heuristic Optimization of Multipulse Rectifier for Reduced Energy Consumption. IEEE Trans. Ind. Informatics 18(8): 5515-5526 (2022) - [j23]Randhir Kumar, Prabhat Kumar, Rakesh Tripathi, Govind P. Gupta, A. K. M. Najmul Islam, Mohammad Shorfuzzaman:
Permissioned Blockchain and Deep Learning for Secure and Efficient Data Sharing in Industrial Healthcare Systems. IEEE Trans. Ind. Informatics 18(11): 8065-8073 (2022) - [j22]Mohammad Shorfuzzaman, M. Shamim Hossain:
Predictive Analytics of Energy Usage by IoT-Based Smart Home Appliances for Green Urban Development. ACM Trans. Internet Techn. 22(2): 35:1-35:26 (2022) - [j21]Guihong Chen, Xi Liu, Mohammad Shorfuzzaman, Ali Karime, Yonghua Wang, Yuanhang Qi:
MEC-Based Jamming-Aided Anti-Eavesdropping with Deep Reinforcement Learning for WBANs. ACM Trans. Internet Techn. 22(3): 60:1-60:17 (2022) - 2021
- [j20]Muhammad Adeel Asghar, Muhammad Jamil Khan, Humayun Shahid, Mohammad Shorfuzzaman, Neal Naixue Xiong, Raja Majid Mehmood:
Semi-Skipping Layered Gated Unit and Efficient Network: Hybrid Deep Feature Selection Method for Edge Computing in EEG-Based Emotion Classification. IEEE Access 9: 13378-13389 (2021) - [j19]Sheng Miao, Chen Shen, Xiaochen Feng, Qixiu Zhu, Mohammad Shorfuzzaman, Zhihan Lv:
Upper Limb Rehabilitation System for Stroke Survivors Based on Multi-Modal Sensors and Machine Learning. IEEE Access 9: 30283-30291 (2021) - [j18]Sheng Miao, Yukun Dang, Qixiu Zhu, Sudong Li, Mohammad Shorfuzzaman, Haibin Lv:
A Novel Approach for Upper Limb Functionality Assessment Based on Deep Learning and Multimodal Sensing Data. IEEE Access 9: 77138-77148 (2021) - [j17]Zhiyuan Chen, Waleed Mahmoud Soliman, Amril Nazir, Mohammad Shorfuzzaman:
Variational Autoencoders and Wasserstein Generative Adversarial Networks for Improving the Anti-Money Laundering Process. IEEE Access 9: 83762-83785 (2021) - [j16]Geeitha Senthilkumar, Jothilakshmi Ramakrishnan, Jaroslav Frnda, Manikandan Ramachandran, Deepak Gupta, Prayag Tiwari, Mohammad Shorfuzzaman, Mazin Abed Mohammed:
Incorporating Artificial Fish Swarm in Ensemble Classification Framework for Recurrence Prediction of Cervical Cancer. IEEE Access 9: 83876-83886 (2021) - [j15]Nonita Sharma, Monika Mangla, Sachi Nandan Mohanty, Deepak Gupta, Prayag Tiwari, Mohammad Shorfuzzaman, Majdi Rawashdeh:
A smart ontology-based IoT framework for remote patient monitoring. Biomed. Signal Process. Control. 68: 102717 (2021) - [j14]Dongsheng Wang, Prayag Tiwari, Mohammad Shorfuzzaman, Ingo Schmitt:
Deep neural learning on weighted datasets utilizing label disagreement from crowdsourcing. Comput. Networks 196: 108227 (2021) - [j13]Mohammad Shorfuzzaman, M. Shamim Hossain:
MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patients. Pattern Recognit. 113: 107700 (2021) - [j12]Ahmed I. Iskanderani, Ibrahim Mustafa Mehedi, Abdulah Jeza Aljohani, Mohammad Shorfuzzaman, Farzana Akther, Thangam Palaniswamy, Shaikh Abdul Latif, Abdul Latif:
Artificial Intelligence-Based Digital Image Steganalysis. Secur. Commun. Networks 2021: 9923389:1-9923389:9 (2021) - [j11]Mohammad Shorfuzzaman, M. Shamim Hossain, Abdulmotaleb El-Saddik:
An Explainable Deep Learning Ensemble Model for Robust Diagnosis of Diabetic Retinopathy Grading. ACM Trans. Multim. Comput. Commun. Appl. 17(3s): 113:1-113:24 (2021) - 2020
- [j10]Zain-Ul-Abdin, Tahir Mahmood, Mohammad Shorfuzzaman, Neal N. Xiong, Raja Majid Mehmood:
Aiding Prosumers by Solar Cell Parameter Optimization Using a Hybrid Technique for Achieving Near Realistic P-V Characteristics. IEEE Access 8: 225416-225423 (2020) - [j9]Mehedi Masud, Hesham Alhumyani, Sultan S. Alshamrani, Omar Cheikhrouhou, Saleh Ibrahim, Ghulam Muhammad, M. Shamim Hossain, Mohammad Shorfuzzaman:
Leveraging Deep Learning Techniques for Malaria Parasite Detection Using Mobile Application. Wirel. Commun. Mob. Comput. 2020: 8895429:1-8895429:15 (2020) - [c8]Mohammad Shorfuzzaman:
Detection of cyber attacks in IoT using tree-based ensemble and feedforward neural network. SMC 2020: 2601-2606
2010 – 2019
- 2019
- [j8]Mohammad Shorfuzzaman, M. Shamim Hossain, Amril Nazir, Ghulam Muhammad, Atif Alamri:
Harnessing the power of big data analytics in the cloud to support learning analytics in mobile learning environment. Comput. Hum. Behav. 92: 578-588 (2019) - 2017
- [j7]Majdi Rawashdeh, Mohammad Shorfuzzaman, Abdel Monim Artoli, M. Shamim Hossain, Ahmed Ghoneim:
Mining tag-clouds to improve social media recommendation. Multim. Tools Appl. 76(20): 21157-21170 (2017) - [i1]Mohammad Shorfuzzaman:
Leveraging cloud based big data analytics in knowledge management for enhanced decision making in organizations. CoRR abs/1702.04474 (2017) - 2016
- [j6]Mohammad Shorfuzzaman, Musaed A. Alhussein:
Modeling Learners' Readiness to Adopt Mobile Learning: A Perspective from a GCC Higher Education Institution. Mob. Inf. Syst. 2016: 6982824:1-6982824:10 (2016) - 2015
- [j5]Abdulhameed Alelaiwi, Abdullah S. Alghamdi, Mohammad Shorfuzzaman, Majdi Rawashdeh, M. Shamim Hossain, Ghulam Muhammad:
Enhanced engineering education using smart class environment. Comput. Hum. Behav. 51: 852-856 (2015) - [j4]Mohammad Shorfuzzaman, Abdulhameed Alelaiwi, Mehedi Masud, Mohammad Mehedi Hassan, M. Shamim Hossain:
Usability of a cloud-based collaborative learning framework to improve learners' experience. Comput. Hum. Behav. 51: 967-976 (2015) - 2014
- [c7]Mohammad Shorfuzzaman:
Access-Efficient QoS-Aware Data Replication to Maximize User Satisfaction in Cloud Computing Environments. PDCAT 2014: 13-20 - 2012
- [b1]Mohammad Shorfuzzaman:
Placement of replicas in large-scale data grid environments. University of Manitoba, Winnipeg, Canada, 2012 - [j3]Mohammad Shorfuzzaman, Peter Graham, M. Rasit Eskicioglu:
Allocating replicas in large-scale data grids using a QoS-aware distributed technique with workload constraints. Int. J. Grid Util. Comput. 3(2/3): 157-174 (2012) - 2011
- [c6]Mohammad Shorfuzzaman, Peter Graham, M. Rasit Eskicioglu:
Distributed Placement of Replicas in Hierarchical Data Grids with User and System QoS Constraints. 3PGCIC 2011: 177-186 - [c5]Mohammad Shorfuzzaman, Peter Graham, M. Rasit Eskicioglu:
QoS-Aware Distributed Replica Placement in Hierarchical Data Grids. AINA 2011: 291-299 - 2010
- [j2]Mohammad Shorfuzzaman, Peter Graham, M. Rasit Eskicioglu:
Adaptive popularity-driven replica placement in hierarchical data grids. J. Supercomput. 51(3): 374-392 (2010) - [c4]Mohammad Shorfuzzaman, Peter Graham, M. Rasit Eskicioglu:
Distributed Popularity Based Replica Placement in Data Grid Environments. PDCAT 2010: 66-77
2000 – 2009
- 2009
- [j1]Mohammad Shorfuzzaman, M. Rasit Eskicioglu, Peter C. J. Graham:
In-Network Adaptation of Video Streams Using Network Processors. Adv. Multim. 2009: 905890:1-905890:20 (2009) - 2008
- [c3]Mohammad Shorfuzzaman, Peter Graham, M. Rasit Eskicioglu:
Popularity-Driven Dynamic Replica Placement in Hierarchical Data Grids. PDCAT 2008: 524-531 - 2006
- [c2]Mohammad Shorfuzzaman, M. Rasit Eskicioglu, Peter C. J. Graham:
Video Transcoding Using Network Processors to Support Dynamically Adaptive Video Multicast. AINA (1) 2006: 471-476 - 2004
- [c1]Mohammad Shorfuzzaman, M. Rasit Eskicioglu, Peter C. J. Graham:
Architectures for Network Processors: Key Features, Evaluation, and Trends. Communications in Computing 2004: 141-146
Coauthor Index
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last updated on 2024-10-08 21:27 CEST by the dblp team
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