IJORAS Volume 6 Number 1 (2024)

Published: 2024-04-30

Articles

Characterization and Evaluation of Mechanical Properties of Carbon Nanotube Filler Epoxy Composite

Chockalingam Palanisamy, Logah Perumal, Ganeshkumar Krishnan

1 - 5

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Development of Automated Attendance System Using Pretrained Deep Learning Models

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

6 - 12

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Vision-based Egg Grading System using Support Vector Machine

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

13 - 19

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The Enhanced Speech Recognition in Automated Home Lighting System using Adaptive Time-Frequency Domain Noise Removal Algorithm Filter

Sk Abu Baker Siddik, Wan Nor Al-Ashekin Wan Husin , Thagirarani Muniandy

20 - 28

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

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

29 - 35

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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

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Design and Development of an Arduino Based Automated Solar Grass Trimmer

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

46 - 58

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Validity and Reliability of a Conceptual Framework on Enhancing Learning for Students via Kinect: A Pilot Test

Marianne Too, Siong Hoe Lau, Choo Kim Tan

59 - 63

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Performance Improvement Scheme of NIDS Through Optimized Intrusion Pattern Database

Nouman Amjad, Anam Mumtaz, Sara Abbas, Umar Hayat

64 - 69

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Review on Detecting Pneumonia in Deep Learning

Toh Jun Jie , Md Shohel Sayeed

70 - 77

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A Review on Sensor Technologies and Control Methods for Mobile Robot with Obstacle Detection System

Ang Jia He, Min Thu Soe

78 - 85

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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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Review on Present-day Breast Cancer Detection Techniques

Wai Ti Chan

94 - 101

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