CLEMD, a circuit-level electrical measurements dataset for electrical energy management.

Autor: Al-Khadher O; Faculty of Engineering, Universiti Pertahanan Nasional Malaysia, 57000, Sungai Besi, Kuala Lumpur, Malaysia., Mukhtaruddin A; Faculty of Engineering, Universiti Pertahanan Nasional Malaysia, 57000, Sungai Besi, Kuala Lumpur, Malaysia. azharudin@upnm.edu.my., Hashim FR; Faculty of Engineering, Universiti Pertahanan Nasional Malaysia, 57000, Sungai Besi, Kuala Lumpur, Malaysia., Azizan MM; Faculty of Engineering and Built Environment, Universiti Sains Islam Malaysia, 71800, Bandar Baru Nilai, Nilai, Negeri Sembilan, Malaysia., Mamat H; School of Aerospace Engineering, Universiti Sains Malaysia, Engineering Campus, 14300, Nibong Tebal, Penang, Malaysia., Aqlan A; Networks and Communications Unit, Northern Border University, 91431, Arar, Saudi Arabia.

Publikováno v: Scientific data [Sci Data] 2024 Jun 06; Vol. 11 (1), pp. 594. Date of Electronic Publication: 2024 Jun 06.

Predicting occupational injury causal factors using text-based analytics: A systematic review.

Autor: Khairuddin MZF; Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia.; Institute of Medical Science Technology, Universiti Kuala Lumpur, Selangor, Malaysia., Hasikin K; Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia.; Centre of Intelligent Systems for Emerging Technology (CISET), Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia., Abd Razak NA; Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia., Lai KW; Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia., Osman MZ; Faculty of Computing, College of Computing and Applied Science, Universiti Malaysia Pahang, Gambang, Malaysia., Aslan MF; Department of Electrical and Electronics Engineering, Karamanoglu Mehmetbey University, Karaman, Turkey., Sabanci K; Department of Electrical and Electronics Engineering, Karamanoglu Mehmetbey University, Karaman, Turkey., Azizan MM; Department of Electrical and Electronic Engineering, Faculty of Engineering and Built Environment, Universiti Sains Islam Malaysia, Nilai, Negeri Sembilan, Malaysia., Satapathy SC; School of Computer Engineering, Kalinga Institute of Industrial Technology, Deemed to Be University, Bhubaneswar, India., Wu X; School of Medical Information and Engineering, Xuzhou Medical University Xuzhou, Xuzhou, Jiangsu, China.

Publikováno v: Frontiers in public health [Front Public Health] 2022 Sep 15; Vol. 10, pp. 984099. Date of Electronic Publication: 2022 Sep 15 (Print Publication: 2022).

RLMD-PA: A Reinforcement Learning-Based Myocarditis Diagnosis Combined with a Population-Based Algorithm for Pretraining Weights.

Autor: Moravvej SV; Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran.; Department of Electrical and Computer Engineering, University of Kashan, Kashan, Iran., Alizadehsani R; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Waurn Ponds, Victoria 3216, Australia., Khanam S; Dhaka Dental College, Dhaka, Bangladesh., Sobhaninia Z; Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran., Shoeibi A; Faculty of Electrical Engineering, FPGA Lab, K. N. Toosi University of Technology, Tehran, Iran., Khozeimeh F; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Waurn Ponds, Victoria 3216, Australia., Sani ZA; Omid Hospital, Iran University of Medical Sciences, Tehran, Iran., Tan RS; Department of Cardiology, National Heart Centre Singapore, Singapore, Singapore.; Duke-NUS Medical School, Singapore., Khosravi A; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Waurn Ponds, Victoria 3216, Australia., Nahavandi S; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Waurn Ponds, Victoria 3216, Australia.; Harvard Paulson School of Engineering and Applied Sciences, Harvard University, Allston, MA 02134, USA., Kadri NA; Department of Biomedical Engineering, Faculty of Engineering, University Malaya, Kuala Lumpur 50603, Malaysia., Azizan MM; Faculty of Engineering and Built Environment, Universiti Sains Islam Malaysia, Bandar Baru Nilai 71800, Negeri Sembilan, Malaysia., Arunkumar N; Department of Biomedical Engineering, Rathinam College of Engineering, Coimbatore, India., Acharya UR; Ngee Ann Polytechnic, Singapore 599489, Singapore.; Department of Biomedical Informatics and Medical Engineering, Asia University, Taichung, Taiwan.; Department of Biomedical Engineering, School of Science and Technology, Singapore University of Social Sciences, Singapore, Singapore.

Publikováno v: Contrast media & molecular imaging [Contrast Media Mol Imaging] 2022 Jun 30; Vol. 2022, pp. 8733632. Date of Electronic Publication: 2022 Jun 30 (Print Publication: 2022).

Systematic Review on COVID-19 Readmission and Risk Factors: Future of Machine Learning in COVID-19 Readmission Studies.

Autor: Loo WK; Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia., Hasikin K; Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia., Suhaimi A; Department of Rehabilitation Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia., Yee PL; Department of Computer System and Technology, Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia., Teo K; Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia., Xia K; Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia., Qian P; School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China., Jiang Y; School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China., Zhang Y; Department of Medical Informatics of Medical (Nursing) School, Nantong University, Nantong, China., Dhanalakshmi S; Department of ECE, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, India., Azizan MM; Department of Electrical and Electronic Engineering, Faculty of Engineering and Built Environment, Universiti Sains Islam Malaysia, Nilai, Malaysia., Lai KW; Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia.

Publikováno v: Frontiers in public health [Front Public Health] 2022 May 23; Vol. 10, pp. 898254. Date of Electronic Publication: 2022 May 23 (Print Publication: 2022).

Microcalcification Discrimination in Mammography Using Deep Convolutional Neural Network: Towards Rapid and Early Breast Cancer Diagnosis.

Autor: Leong YS; Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia., Hasikin K; Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia.; Department of Biomedical Engineering, Center for Image and Signal Processing (CISIP), Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia., Lai KW; Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia., Mohd Zain N; Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia., Azizan MM; Department of Electrical and Electronic Engineering, Faculty of Engineering and Built Environment, Universiti Sains Islam Malaysia, Nilai, Malaysia.

Publikováno v: Frontiers in public health [Front Public Health] 2022 Apr 28; Vol. 10, pp. 875305. Date of Electronic Publication: 2022 Apr 28 (Print Publication: 2022).