Dr. Rosdiyana Samad

About Dr. Rosdiyana Samad

Dr. Rosdiyana Samad, With an exceptional h-index of 11 and a recent h-index of 10 (since 2020), a distinguished researcher at Universiti Malaysia Pahang, specializes in the field of Image Processing, Pattern Recognition, Computer Vision, Human Computer Interaction.

His recent articles reflect a diverse array of research interests and contributions to the field:

Simulation Performance Comparison of A*, GLS, RRT and PRM Path Planning Algorithms

Vision-based toddler physical activity recognition using deep learning

Improving system static security via optimal placement of static VAR compensator using Multi Verse Optimizer (MVO)

Allocation and sizing of Distributed Generation (DG) using Multi Verse Optimizer (MVO)

Analysis of personal protective equipment classification method using deep learning

EMG signal segmentation to predict driver’s vigilance state

Automatic attendance system using face recognition with deep learning algorithm

Random Subspace K-NN Based Ensemble Classifier for Driver Fatigue Detection Utilizing Selected EEG Channels.

Dr. Rosdiyana Samad Information

University

Position

Faculty of Electrical & Electronics Engineering (UMP)

Citations(all)

424

Citations(since 2020)

298

Cited By

259

hIndex(all)

11

hIndex(since 2020)

10

i10Index(all)

13

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Dr. Rosdiyana Samad Skills & Research Interests

Image Processing

Pattern Recognition

Computer Vision

Human Computer Interaction

Top articles of Dr. Rosdiyana Samad

Simulation Performance Comparison of A*, GLS, RRT and PRM Path Planning Algorithms

2022/5/21

Vision-based toddler physical activity recognition using deep learning

2022/1/1

Improving system static security via optimal placement of static VAR compensator using Multi Verse Optimizer (MVO)

2022/1/1

Allocation and sizing of Distributed Generation (DG) using Multi Verse Optimizer (MVO)

2022/1/1

Analysis of personal protective equipment classification method using deep learning

2022/1/1

EMG signal segmentation to predict driver’s vigilance state

2022

Automatic attendance system using face recognition with deep learning algorithm

2022

Random Subspace K-NN Based Ensemble Classifier for Driver Fatigue Detection Utilizing Selected EEG Channels.

Traitement du Signal

2021/10/1

Classification of Facial Part Movement Acquired from Kinect V1 and Kinect V2

2021

Optimal reactive power dispatch solution by loss minimisation using dragonfly optimization algorithm

2021

Introduction of Static and Dynamic Features to Facial Nerve Paralysis Evaluation

2021

Proceedings of the 11th National Technical Seminar on Unmanned System Technology 2019: NUSYS'19

2020/7/7

Classification of Facial Nerve Paralysis Based on Regional Evaluation

2020

See List of Professors in Dr. Rosdiyana Samad University(Universiti Malaysia Pahang)

Co-Authors

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