International Journal on Robotics, Automation and Sciences (IJORAS) is an online peer-reviewed research journal that aims to provide  a high-level publication platform for scientists and technologists working in the fields of Robotics, Automation and Sciences such as Advanced robotics, Adaptive control system, Embedded system, Fuzzy logic, Neural Network, Biomedical Engineering, Digital and Signal Processing, Image Processing, and image analysis. This platform also includes technology and applications in physics, chemistry, material and biological sciences.

eISSN: 2682-860X | Publisher: MMU Press | Access: Open | Frequency: Annual (July) / Biannual (April & September) starting from 2023 onwards| Website:

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Vol. 6 No. 1 (2024): International Journal on Robotics, Automation and Sciences

IJORAS Volume 6 Number 1 (2024)

Published: 2024-04-30

Development of Automated Attendance System Using Pretrained Deep Learning Models

Muhammad Shahrul Zaim Ahmad, Nor Azlina Ab. Aziz, Anith Khairunnisa Ghazali

6 - 12

Vision-based Egg Grading System using Support Vector Machine

Way Soong Lim, Kang Lai Desmond Ji, Sin Ting Lim, Boon Chin Yeo

13 - 19

Genetic Algorithm-Based Multitier Ensemble Classifier for Diagnosis of Heart Disease

Thirumalaimuthu Thirumalaiappan Ramanathan, Md. Jakir Hossen, Md. Shohel Sayeed

29 - 35

Design and Development of Automated Solar Grass Trimmer with Charge Control Circuit

Thangavel Bhuvaneswari, Chitra Venugopa, Sarah Immanuel, Emerson Raja, Wei Chern Chua

36 - 45

Design and Development of an Arduino Based Automated Solar Grass Trimmer

Thangavel Bhuvaneswari, Chitra Venugopal, Sarah Immanuel, Emerson Raja, Wei Chern Chua

46 - 58

Review on Detecting Pneumonia in Deep Learning

Toh Jun Jie , Md Shohel Sayeed

70 - 77

A Cutting-Edge Hybrid Approach for Precise COVID-19 Detection using Deep Learning

Hamza Youns, Safdar Abbas, Umar Hayat, Muhammad Hammad Musaddiq, Adeel Hashmi

86 - 93

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