M
Mazliham Mohd Su'ud
Researcher at University of Kuala Lumpur
Publications - 60
Citations - 516
Mazliham Mohd Su'ud is an academic researcher from University of Kuala Lumpur. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 9, co-authored 40 publications receiving 238 citations. Previous affiliations of Mazliham Mohd Su'ud include Ministry of Industry and Information Technology of the People's Republic of China.
Papers
More filters
Journal ArticleDOI
A Systematic Review on Monitoring and Advanced Control Strategies in Smart Agriculture
Syeda Iqra Hassan,Muhammad Alam,Usman Illahi,Mohammed A. Al Ghamdi,Sultan H. Almotiri,Mazliham Mohd Su'ud +5 more
TL;DR: In this article, the authors present different control strategies used to automate agriculture such as: IoT, aerial imagery, multi-spectral, hyperspectral, NIR, thermal camera, RGB camera, machine learning, and artificial intelligence techniques.
Journal ArticleDOI
Mutual Coupling Reduction Using Hybrid Technique in Wideband Circularly Polarized MIMO Antenna for WiMAX Applications
Javed Iqbal,Usman Illahi,M. I. Sulaiman,Muhammad Alam,Mazliham Mohd Su'ud,Mohd Najib Mohd Yasin +5 more
TL;DR: A novel wideband circularly polarized multiple-input multiple-output (MIMO) dielectric resonator antenna (DRA) has been proposed for worldwide interoperability for microwave access (WiMAX) applications and the mutual coupling between closely placed DRA units at $0.5\lambda has been significantly reduced by using a new hybrid technique.
Journal ArticleDOI
A Systematic Review of Load Balancing Techniques in Software-Defined Networking
TL;DR: This paper extends and reviews the discussion with a taxonomy of current emerging load balancing techniques in SDN systematically by categorizing the techniques as conventional and artificial intelligence-based techniques to improve the service quality.
Journal ArticleDOI
A Comprehensive Study of Load Balancing Approaches in the Cloud Computing Environment and a Novel Fault Tolerance Approach
TL;DR: The research paper identifies the need for FT efficiency metric in LB algorithms which is one of the main concerns in cloud environments and proposes a novel algorithm that employs FT metrics in LB.
Journal ArticleDOI
Towards Automatic Recognition and Grading of Ganoderma Infection Pattern Using Fuzzy Systems
TL;DR: This paper deals with the extraction of information from the experts to automatically identify and recognize Ganoderma infection in oil palm stem using tomography images and results showed that seven out of 30 initial possible combination of available Fuzzy Inference methods in MATLAB FBuzzy Toolbox were observed giving result close to the experts estimation.