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Khairunnisa Hasikin
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2020 – today
- 2024
- [j31]Pauline Shan Qing Yeoh, Li Bing, Siew-Li Goh, Khairunnisa Hasikin, Xiang Wu, Yan Chai Hum, Yee-Kai Tee, Khin Wee Lai:
An Efficient Neural Network for Segmenting Multiple Joint Tissues From Knee MRI With Hyperparameter Optimization: Data From the Osteoarthritis Initiative. IEEE Access 12: 123757-123770 (2024) - [j30]Dhevisha Sukumarran, Ee Sam Loh, Anis Salwa Mohd Khairuddin, Romano Ngui, Wan Yusoff Wan Sulaiman, Indra Vythilingam, Paul C. S. Divis, Khairunnisa Hasikin:
Automated Identification of Malaria-Infected Cells and Classification of Human Malaria Parasites Using a Two-Stage Deep Learning Technique. IEEE Access 12: 135746-135763 (2024) - [j29]Jun Chen Ng, Pauline Shan Qing Yeoh, Li Bing, Xiang Wu, Khairunnisa Hasikin, Khin Wee Lai:
A Privacy-Preserving Approach Using Deep Learning Models for Diabetic Retinopathy Diagnosis. IEEE Access 12: 145159-145173 (2024) - [j28]Xin Yu Teh, Pauline Shan Qing Yeoh, Tao Wang, Xiang Wu, Khairunnisa Hasikin, Khin Wee Lai:
Knee Osteoarthritis Diagnosis With Unimodal and Multi-Modal Neural Networks: Data From the Osteoarthritis Initiative. IEEE Access 12: 146698-146717 (2024) - [j27]Dhevisha Sukumarran, Khairunnisa Hasikin, Anis Salwa Mohd Khairuddin, Romano Ngui, Wan Yusoff Wan Sulaiman, Indra Vythilingam, Paul C. S. Divis:
Machine and deep learning methods in identifying malaria through microscopic blood smear: A systematic review. Eng. Appl. Artif. Intell. 133: 108529 (2024) - [j26]Nur Haninie Abd Wahab, Khairunnisa Hasikin, Khin Wee Lai, Kaijian Xia, Lulu Bei, Kai Huang, Xiang Wu:
Systematic review of predictive maintenance and digital twin technologies challenges, opportunities, and best practices. PeerJ Comput. Sci. 10: e1943 (2024) - [j25]Mohamed Zul Fadhli Khairuddin, Suresh Sankaranarayanan, Khairunnisa Hasikin, Nasrul Anuar Abd Razak, Rosidah Omar:
Contextualizing injury severity from occupational accident reports using an optimized deep learning prediction model. PeerJ Comput. Sci. 10: e1985 (2024) - [j24]Jing Ru Teoh, Khairunnisa Hasikin, Khin Wee Lai, Xiang Wu, Chong Li:
Enhancing early breast cancer diagnosis through automated microcalcification detection using an optimized ensemble deep learning framework. PeerJ Comput. Sci. 10: e2082 (2024) - [j23]Shuang Yee Chin, Jian Dong, Khairunnisa Hasikin, Romano Ngui, Khin Wee Lai, Pauline Shan Qing Yeoh, Xiang Wu:
Bacterial image analysis using multi-task deep learning approaches for clinical microscopy. PeerJ Comput. Sci. 10: e2180 (2024) - [j22]Jing Ru Teoh, Jian Dong, Xiaowei Zuo, Khin Wee Lai, Khairunnisa Hasikin, Xiang Wu:
Advancing healthcare through multimodal data fusion: a comprehensive review of techniques and applications. PeerJ Comput. Sci. 10: e2298 (2024) - [j21]Nur Athirah Zailan, Anis Salwa Mohd Khairuddin, Khairunnisa Hasikin, Mohamad Haniff Junos, Uswah Khairuddin:
An automatic garbage detection using optimized YOLO model. Signal Image Video Process. 18(1): 315-323 (2024) - 2023
- [j20]Mohamed Zul Fadhli Khairuddin, Khairunnisa Hasikin, Nasrul Anuar Abd Razak, Siti Afifah Mohshim, Siti Salwa Ibrahim:
Harnessing the Multimodal Data Integration and Deep Learning for Occupational Injury Severity Prediction. IEEE Access 11: 85284-85302 (2023) - [j19]Noorul Husna Abd Rahman, Khairunnisa Hasikin, Nasrul Anuar Abd Razak, Ayman Khallel Ibrahim Al-Ani, Jerline Sheebha Anni, Prabu Mohandas:
Medical Device Failure Predictions Through AI-Driven Analysis of Multimodal Maintenance Records. IEEE Access 11: 93160-93179 (2023) - [j18]Pauline Shan Qing Yeoh, Siew-Li Goh, Khairunnisa Hasikin, Xiang Wu, Khin Wee Lai:
3D Efficient Multi-Task Neural Network for Knee Osteoarthritis Diagnosis Using MRI Scans: Data From the Osteoarthritis Initiative. IEEE Access 11: 135323-135333 (2023) - [j17]Aizat Hilmi Zamzam, Khairunnisa Hasikin, Ahmad Khairi Abdul Wahab:
Integrated failure analysis using machine learning predictive system for smart management of medical equipment maintenance. Eng. Appl. Artif. Intell. 125: 106715 (2023) - [j16]Khairunnisa Hasikin, Khin Wee Lai, Suresh Chandra Satapathy, Kadir Sabanci, Muhammet Fatih Aslan:
Editorial: Emerging applications of text analytics and natural language processing in healthcare. Frontiers Digit. Health 5 (2023) - [j15]Noorul Husna Abd Rahman, Muhammad Hazim Mohamad Zaki, Khairunnisa Hasikin, Nasrul Anuar Abd Razak, Ayman Khaleel Ibrahim, Khin Wee Lai:
Predicting medical device failure: a promise to reduce healthcare facilities cost through smart healthcare management. PeerJ Comput. Sci. 9: e1279 (2023) - [j14]En Xin Neo, Khairunnisa Hasikin, Khin Wee Lai, Mohd Istajib Mokhtar, Muhammad Mokhzaini Azizan, Hanee Farzana Hizaddin, Sarah Abdul Razak, Yanto:
Artificial intelligence-assisted air quality monitoring for smart city management. PeerJ Comput. Sci. 9: e1306 (2023) - [c4]Khin Wee Lai, Pauline Shan Qing Yeoh, Siew-Li Goh, Khairunnisa Hasikin, Xiang Wu:
Knee Osteoarthritis Diagnostic System Based on 3D Multi-task Convolutional Neural Network: Data from the Osteoarthritis Initiative. ACPR (3) 2023: 41-51 - 2022
- [j13]Ayman Al-Ani, Ahmed K. Al-Ani, Sham-ul-Arfeen Laghari, Selvakumar Manickam, Khin Wee Lai, Khairunnisa Hasikin:
NDPsec: Neighbor Discovery Protocol Security Mechanism. IEEE Access 10: 83650-83663 (2022) - [j12]Ayan Paul, Juliana Usman, Mohd Yazed Ahmad, Hamidreza Mohafez, Maryam Hadizadeh, Zhi Chao Ong, Khairunnisa Hasikin, Khin Wee Lai:
Correction to: Health efficacy of electrically operated automated massage on muscle properties, peripheral circulation, and physio-psychological variables: a narrative review. EURASIP J. Adv. Signal Process. 2022(1): 122 (2022) - 2021
- [j11]Wen Yee Wong, Ayman Khallel Ibrahim Al-Ani, Khairunnisa Hasikin, Anis Salwa Mohd Khairuddin, Sarah Abdul Razak, Hanee Farzana Hizaddin, Mohd Istajib Mokhtar, Muhammad Mokhzaini Azizan:
Water, Soil and Air Pollutants' Interaction on Mangrove Ecosystem and Corresponding Artificial Intelligence Techniques Used in Decision Support Systems - A Review. IEEE Access 9: 105532-105563 (2021) - [j10]Pauline Shan Qing Yeoh, Khin Wee Lai, Siew-Li Goh, Khairunnisa Hasikin, Yan Chai Hum, Yee-Kai Tee, Samiappan Dhanalakshmi:
Emergence of Deep Learning in Knee Osteoarthritis Diagnosis. Comput. Intell. Neurosci. 2021: 4931437:1-4931437:20 (2021) - [j9]Ayan Paul, Juliana Usman, Mohd Yazed Ahmad, Hamidreza Mohafez, Maryam Hadizadeh, Zhi Chao Ong, Khairunnisa Hasikin, Khin Wee Lai:
Health efficacy of electrically operated automated massage on muscle properties, peripheral circulation, and physio-psychological variables: a narrative review. EURASIP J. Adv. Signal Process. 2021(1): 80 (2021) - [j8]Nurshafira Hazim Chan, Khairunnisa Hasikin, Nahrizul Adib Kadri, Muhammad Mokhzaini Azizan, Muzammil B. Jusoh:
Optimization of Local Contrast Factor with Adaptive Brightness Improvement: Impact on Mammogram Image Analysis. J. Medical Imaging Health Informatics 11(8): 2217-2230 (2021) - [j7]Anjan Gudigar, U. Raghavendra, Sneha Nayak, Ooi Chui Ping, Wai-Yee Chan, Mokshagna Rohit Gangavarapu, Chinmay Dharmik, Jyothi Samanth, Nahrizul Adib Kadri, Khairunnisa Hasikin, Prabal Datta Barua, Subrata Chakraborty, Edward J. Ciaccio, U. Rajendra Acharya:
Role of Artificial Intelligence in COVID-19 Detection. Sensors 21(23): 8045 (2021) - [j6]Prabu Mohandas, Jerline Sheebha Anni, Rajkumar Thanasekaran, Khairunnisa Hasikin, Muhammad Mokhzaini Azizan:
Object Detection and Movement Tracking Using Tubelets and Faster RCNN Algorithm with Anchor Generation. Wirel. Commun. Mob. Comput. 2021: 8665891:1-8665891:16 (2021) - 2020
- [j5]Roziana Ramli, Mohd Yamani Idna Bin Idris, Khairunnisa Hasikin, Noor Khairiah A. Karim, Ainuddin Wahid Abdul Wahab, Ismail Ahmedy, Fatimah Ahmedy, Hamzah Arof:
Local descriptor for retinal fundus image registration. IET Comput. Vis. 14(4): 144-153 (2020)
2010 – 2019
- 2018
- [j4]Abdullah Amer Mohammed Salih, Khairunnisa Hasikin, Nor Ashidi Mat Isa:
Adaptive Fuzzy Exposure Local Contrast Enhancement. IEEE Access 6: 58794-58806 (2018) - 2015
- [j3]Khairunnisa Hasikin, Nor Ashidi Mat Isa:
Adaptive fuzzy intensity measure enhancement technique for non-uniform illumination and low-contrast images. Signal Image Video Process. 9(6): 1419-1442 (2015) - 2014
- [j2]Khairunnisa Hasikin, Nor Ashidi Mat Isa:
Adaptive fuzzy contrast factor enhancement technique for low contrast and nonuniform illumination images. Signal Image Video Process. 8(8): 1591-1603 (2014) - 2013
- [j1]Intan Aidha Yusoff, Nor Ashidi Mat Isa, Khairunnisa Hasikin:
Automated two-dimensional K-means clustering algorithm for unsupervised image segmentation. Comput. Electr. Eng. 39(3): 907-917 (2013) - [c3]Khairunnisa Hasikin, Nor Ashidi Mat Isa:
Fuzzy image enhancement for low contrast and non-uniform illumination images. ICSIPA 2013: 275-280 - 2012
- [c2]Khairunnisa Hasikin, Nor Ashidi Mat Isa:
Fuzzy enhancement for nonuniform illumination of microscopic Sprague Dawley rat sperm image. MeMeA 2012: 1-6 - [c1]Khairunnisa Hasikin, Nor Ashidi Mat Isa:
Enhancement of the Low Contrast Image Using Fuzzy Set Theory. UKSim 2012: 371-376
Coauthor Index
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last updated on 2024-12-03 21:21 CET by the dblp team
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