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Yoosuf Nizam

Observed names: Y Nizam, Y. Musli Nizam, Y. Nizam
ORCID: 0000-0002-4888-4779
Observed ORCID: 0000-0002-4888-4779
OpenAlex ID: A5024341550
Powering an island energy system by offshore floating technologies towards 100% renewables: A case for the Maldives
2021 · Dominik Keiner, Orlando Salcedo-Puerto, et al. · Applied Energy · 127
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Human Fall Detection from Depth Images using Position and Velocity of Subject
2017 · Yoosuf Nizam, Mohd Norzali Haji Mohd, et al. · Procedia Computer Science · 48
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Development of a User-Adaptable Human Fall Detection Based on Fall Risk Levels Using Depth Sensor
2018 · Yoosuf Nizam, Mohd Norzali Haji Mohd, et al. · Sensors · 33
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A Study on Human Fall Detection Systems: Daily Activity Classification and Sensing Techniques
2016 · Yoosuf Nizam, Mohd Norzali Haji Mohd, et al. · International Journal of Integrated Engineering · 24
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Performance Comparison of Pre-trained Residual Networks for Classification of the Whole Mammograms with Smaller Dataset
2020 · Susama Bagchi, Mohd Norzali Haji Mohd, et al. · IEEE Student Conference on Research and Development (SCOReD) · 22
Classification of Daily Life Activities for Human Fall Detection: A Systematic Review of the Techniques and Approaches
2020 · Yoosuf Nizam, M. Mahadi Abdul Jamil · Studies in systems, decision and control · 18
An optimized low computational algorithm for human fall detection from depth images based on Support Vector Machine classification
2017 · Mohd Norzali Haji Mohd, Y Nizam, et al. · IEEE International Conference on Signal and Image Processing Applications (ICSIPA) · 14
Classification of Human Fall from Activities of Daily Life using Joint Measurements
2016 · Yoosuf Nizam, Mohd Norzali Haji Mohd, et al. · Journal of Telecommunication Electronic and Computer Engineering (JTEC) · 12
Designing a solar powered light trap to control pest moths in Hulumale’ urban farming field
2024 · Fathimath Asna, Yoosuf Nizam · AIP conference proceedings · 7
A Depth Image Approach to Classify Daily Activities of Human Life for Fall Detection Based on Height and Velocity of the Subject
2017 · Y. Nizam, M. Mahadi Abdul Jamil, et al. · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · 7
Development of Human Fall Detection System using Joint Height, Joint Velocity, and Joint Position from Depth Maps
2016 · Yoosuf Nizam, Mohd Norzali Haji Mohd, et al. · Journal of Telecommunication Electronic and Computer Engineering (JTEC) · 7
Robust Distributed Collaborative Beamforming for WSANs in Dual-Hop Scattered Environments with Nominally Rectangular Layouts
2025 · Oussama Ben Smida, Sofiène Affes, et al. · Journal of Sensor and Actuator Networks · 4
Evaluation of Sound Comfort in Examination Hall Using Acoustical Environmental Analyses
2013 · M. Mohd Amran, M. Shaiful Rizal, et al. · Applied Mechanics and Materials · 3
A Novel Approach for Human Fall Detection and Fall Risk Assessment
2020 · Yoosuf Nizam, M. Mahadi Abdul Jamil · Studies in systems, decision and control · 2
A Novel Algorithm for Human Fall Detection using Height, Velocity and Position of the Subject from Depth Maps
2018 · Yoosuf Nizam, M. Mahadi Abdul Jamil, et al. · International Journal of Integrated Engineering · 2
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Designing and testing a robot for removing sharp metal objects from roads
2024 · Liyaaz Yoosuf, Ahmed Layan Abdul Gafoor, et al. · AIP conference proceedings · 1
Development of a solar-powered electric car model: Practical efficiency and performance analysis in the context of Maldives
2024 · Ahmed Ahusan, Yoosuf Nizam · AIP conference proceedings · 1
A Camera-Based Intelligent Traffic Signal Control System for Linear Cities: A Case Study of Hulhumalé, Maldives
2025 · Amin Rasheed, Yoosuf Nizam · Maldives Journal of Engineering and Technology
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Airfoil design for energy extraction from tidal currents
2024 · Aminath Seeza, Yoosuf Nizam · AIP conference proceedings
Development of an efficient dual-axis photovoltaic (PV) solar tracking system
2024 · Aminath Dheena, Yoosuf Nizam · AIP conference proceedings
Improved User Adaptable Human Fall Detection and Verification Using Statistical Analysis
2020 · M. Mahadi Abdul Jamil, Yoosuf Nizam, et al. · Studies in computational intelligence
Development of a human fall detection system based on depth maps
2018 · Yoosuf Nizam · UTHM Institutional Repository (Universiti Tun Hussein Onn Malaysia)
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Works count: 22
Citation count: 332
H-index: 8
I10-index: 8
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