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Dr. Yoosuf Nizam
Dr. Yoosuf Nizam
Assistant Professor, Department of Engineering, Faculty of Engineering, Science and Technology
Verified email at mnu.edu.mv
Title
Cited by
Cited by
Year
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
512022
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
342018
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
92017
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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