Advances in Intelligent Manufacturing and Mechatronics

A Computational Time Analysis of Discrete Simulated Kalman Filter Optimizer.- A Real-Time Social Distancing and Face Mask Detection System using Deep Learning.- A Systematic Review for Robotic for Cognitive Speech Therapy for Rehabilitation Patient.- An Estimation Steering Feedback Torque in Vehicle Steer by Wire System.- An Implementation of Sliding Mode Voltage Control Controlled Buck-Boost Converter for Solar Application.- An Optimized Deep Learning Model for Automatic Diagnosis of COVID-19 Using Chest X-Ray Images.- Automatic Vehicle Location (AVL): Evaluation on The Punctuality Index of City Public Bus Service.- Bearing Fault Diagnosis using Extreme Learning Machine based on Artificial Gorilla Troops Optimizer.-  Classifying Ethnicity of the Pedestrian using Skin Colour Palette.- Cluster Analysis based on Image Feature Extraction for Automated Operational Modal Analysis.- Detection of Lead with IoT Water Monitoring System using Microstrip Antenna-Based Sensor.- Emotion Recognition using Ultra Short-term ECG Signals with a Hybrid Convolutional Neural Network and Long Short-Term Memory Network.- Enhancement of Morlet Mother Wavelet in Time-Frequency Domain in Electroencephalogram (EEG) Signals.- Fabrication of Aneurysm Biomodel using 3D Printing Technology.- Feature Selection of Medical Dataset Using African Vultures Optimization Algorithm.

Dr. Muhammad Amirul Abdullah is Researcher at the Innovative Manufacturing, Mechatronics & Sports (iMAMS), Laboratory, Faculty of Manufacturing and Mechatronic Engineering Technology in Universiti Malaysia Pahang (UMP). He was awarded a Master's Degree and received his Bachelor's Degree, both in Mechatronics Engineering, from International Islamic University Malaysia (IIUM). He holds a Ph.D. in Mechatronics Engineering from UMP, focussing on the employment of deep learning architectures in sports application. His research interest includes machine learning, robotics, control and automation, and sports engineering.

Dr. Ismail Mohd Khairuddin is Senior Lecturer at Universiti Malaysia Pahang. He received his Bachelor's Degree in Mechatronics Engineering from Universiti Teknikal Malaysia Melaka (UTeM) in 2010 and was awarded with a Master's Degree in Mechatronics and Automatic Control from Universiti Teknologi Malaysia in 2012. He then obtained his Ph.D. in Biomechatronics Engineering at the International Islamic University Malaysia. His research interests include rehabilitation robotics, mechanical and mechatronics design, mechanisms, control and automation, bio-signal processing as well as machine learning.

Dr. Ahmad Fakhri bin Ab. Nasir received his Bachelor's Degree in Information Technology from Universiti Malaya. He enrolled as Full-Time Master Student at the Faculty of Manufacturing Engineering, Universiti Malaysia Pahang, and received his Master's Degree in Engineering (Manufacturing). He pursued his Ph.D. specializing in Pattern Recognition at the Universiti Sultan Zainal Abidin. He joined Universiti Malaysia Pahang as Senior Lecturer in 2016. His research interests are in the areas of computer vision, pattern recognition, image processing, machine learning, as well as parallel computing.

Wan Hasbullah Bin Mohd Isa graduated with a B.Eng. in Mechatronics (Precision Engineering) from the Hochschule Furtwangen University, Germany,