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Dr. Yoosuf Nizam
Dr. Yoosuf Nizam
Assistant Professor, Department of Engineering, Faculty of Engineering, Science and Technology
Zweryfikowany adres z mnu.edu.mv
Tytuł
Cytowane przez
Cytowane przez
Rok
Human fall detection from depth images using position and velocity of subject
Y Nizam, MNH Mohd, MMA Jamil
Procedia Computer Science 105, 131-137, 2017
552017
Powering an island energy system by offshore floating technologies towards 100% renewables: A case for the Maldives
D Keiner, O Salcedo-Puerto, E Immonen, WG van Sark, Y Nizam, ...
Applied Energy 308, 118360, 2022
462022
Development of a user-adaptable human fall detection based on fall risk levels using depth sensor
Y Nizam, MNH Mohd, MMA Jamil
Sensors 18 (7), 2260, 2018
332018
A study on human fall detection systems: Daily activity classification and sensing techniques
Y Nizam, MNH Mohd, MMA Jamil
International Journal of Integrated Engineering 8 (1), 2016
302016
Classification of human fall from activities of daily life using joint measurements
Y Nizam, MNH Mohd, MMA Jamil
Journal of Telecommunication, Electronic and Computer Engineering (JTEC) 8 …, 2016
122016
Performance comparison of pre-trained residual networks for classification of the whole mammograms with smaller dataset
S Bagchi, MNH Mohd, SK Debnath, M Nafea, NS Suriani, Y Nizam
2020 IEEE student conference on research and development (SCOReD), 368-373, 2020
112020
Development of human fall detection system using joint height, joint velocity, and joint position from depth maps
Y Nizam, MNH Mohd, R Tomari, MMA Jamil
Journal of Telecommunication, Electronic and Computer Engineering (JTEC) 8 …, 2016
112016
Classification of daily life activities for human fall detection: a systematic review of the techniques and approaches
Y Nizam, MMA Jamil
Challenges and Trends in Multimodal Fall Detection for Healthcare, 137-179, 2020
102020
A depth image approach to classify daily activities of human life for fall detection based on height and velocity of the subject
Y Nizam, M Mahadi Abdul Jamil, M Norzali Mohd
3rd International Conference on Movement, Health and Exercise: Engineering …, 2017
102017
An optimized low computational algorithm for human fall detection from depth images based on Support Vector Machine classification
MNH Mohd, Y Nizam, S Suhaila, MMA Jamil
2017 IEEE International Conference on Signal and Image Processing …, 2017
82017
BIOMECHANICAL APPLICATION: EXPLOITATION OF KINECT SENSOR FOR GAIT ANALYSIS
Y Nizam, MN Mohd, MMA Jamil
72017
A novel algorithm for human fall detection using height, velocity and position of the subject from depth maps
Y Nizam, MMA Jamil, MNH Mohd, M Youseffi, MCT Denyer
International Journal of Integrated Engineering 10 (3), 2018
42018
A novel approach for human fall detection and fall risk assessment
Y Nizam, MMA Jamil
Challenges and Trends in Multimodal Fall Detection for Healthcare, 237-259, 2020
22020
Experimental Prototype of a Solar Fish Dryer
TA Razzaq, Y Qasim, A Naeem, Z Hassan, Y Nizam
International Journal of Advanced Research in Engineering Innovation 2 (2), 1-10, 2020
12020
A non-invasive approach for human fall risk assessments
Y NIZAM, MNHJ MOHD, MMA JAMIL
J Eng Sci Technol 13, 175-189, 2018
12018
Air Vehicles for Coastal Surveillance to Protect the Natural Resources and Monitor Illegal Entry into the EEZ: An Overview of Challenges and Reliability Concerns in the Context …
Y Nizam
International Journal of Advanced Research in Technology and Innovation 2 (2 …, 2020
2020
Wave Generator to Power Sinamalé Bridge: A Pilot Study
M Waheed, A Mohamed, S Thoha, Y Nizam
International Journal of Advanced Research in Engineering Innovation 2 (2 …, 2020
2020
Improved User Adaptable Human Fall Detection and Verification Using Statistical Analysis
M Mahadi Abdul Jamil, Y Nizam, MNH Mohd, R Ambar, MHA Wahab
Recent Advances in Intelligent Information Systems and Applied Mathematics …, 2020
2020
A Preliminary Study on Gait and Motion Analysis for Rehabilitation Applications
Y Nizam, I Thorig
Journal of Advanced Research in Applied Sciences and Engineering Technology …, 2019
2019
Development of a human fall detection system based on depth maps
Y Nizam
Universiti Tun Hussein Onn Malaysia, 2018
2018
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