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 |Article Processing Fee: None| Frequency: Triannual (March, July & November) effective from 2025 | Website: https://journals.mmupress.com/ijoras

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Announcements

CALL FOR PAPERS: NexSymp 2025 (submission date extended)

2025-07-02

Join the NexSymp 2025 Symposium on Artificial Intelligence for Sustainable Future! Organised by MMU Press, this hybrid event (11-12 Sept 2025) welcomes researchers, educators, and industry experts to share innovations in IT, science, social sciences, arts, and more.

Important Dates:

Full Paper Submission: 15th July 2025 (extended)

Acceptance Notification: 15th August 2025

Camera-Ready Submission: 31st August 2025

 Submit Now: https://www.mmupress.com/nexsymp/

NexSymp2025 (Science & Technology domain) -11th & 12th September 2025

2025-05-21

Dear Authors,
MMU Press invites you to submit your manuscript to our upcoming 1st Nexus Symposium: An Interdisciplinary Nexus for the Digital Age (NexSymp 2025):
https://www.mmupress.com/nexsymp/

IJORAS is one of the participating journals under Science & Technology domain in NexSymp 2025.

Submit your manuscript here:
https://journals.mmupress.com/index.php/ijoras/submission/
Please select the section: “NexSymp - S&T” during submission.

You may refer to the user manual below for the instruction to register and submit your manuscript to IJORAS 

Registration and submission guide: User manual 

Current Issue

Vol. 7 No. 1 (2025): International Journal on Robotics, Automation and Sciences

IJORAS Volume 7 Number 1 (2025)

Published: 2025-03-31

Articles

An Edge Convolution Neural Network Model for Plant Health Classification Using Camera

Kok Beng Gan, Charis Teoh Yi En

1-6

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Development of an IoT-based Wireless Controlled Power Adapter

Kar Chung Chin, Gin Chong Lee, Hao Ren Yon, Hock Kheng Sim

7-18

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From Signatures to AI: A Comprehensive Review of DDoS Detection Strategies in IoT & SDN

Shehroze Ahmed Khan , Syed Ihtesham Hussain , Jawaid Iqbal

19-26

PDF

Vendor Evaluation and Selection for Forwarding Activities Using Stepwise Weight Assessment Analysis-Combined Compromise Solution (SWARA-CoCoSo) Method

Bilqis Adillah Rachman, Anastasia L. Maukar, Johan Krisnanto Runtuk

27-34

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Exploring Activities of Daily Living Among the Elderly through Machine Learning Techniques

Josiah Wey Tsen Lim, Connie Tee, Michael Kah Ong Goh

35-46

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Developing a Telepresence Robot for Autism Diagnosis

Nazreen Rusli, Hazlina Md Yusof, Zulkifli Zainal Abidin, Zulhafiz Zulkifli, Fadly Jashi Darsivan, Taufik Yunahar, Mohd Hirzi Amiruddin

47-57

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Review on Advancements in Artificial Intelligence and its Applications in Sports

Jun Jie Ooi, Yit Hong Choo, Andi Prademon Yunus , Wei Hong Lim, Sui Yang Khoo

58-63

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Improve Exercise Movement: Detecting Mistakes on Yoga with Mediapipe and MLP

Mahda Laina Arnumukti, Andi Prademon Yunus, Babale Aliyu Suleiman

64-71

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Enhancing LLM Efficiency: A Literature Review of Emerging Prompt Optimization Strategies

Asyafa Ditra Al Hauna, Andi Prademon Yunus, Masanori Fukui, Siti Khomsah

72-83

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A Review of Camouflage Object Detection Techniques

Chia Ling Hi, Kai Liang Lew, Cheng Zheng, Tetuko Kurniawan, Suleiman Aliyu Babale, Chia Shyan Lee

84-92

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The Role of Electroencephalography in Advancing Sleep Research

Zahra Zia , Ahsen Ejaz, Kai Liang Lew, Cheng Zheng, Suleiman Aliyu Babale , Tetuko Kurniawan, Chia Shyan Lee

93-103

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Real-Time Emotion Detection Using Artificial Intelligence: A Review

Zoobiya Aalam, Saman Aziz , Kai Liang Lew, Chia Shyan Lee

104-110

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AI-Assisted Analysis for Breast Cancer Imaging and Diagnostics

Kai Liang Lew, Chean Khim Toa, Pengfei Zhou, Chia Shyan Lee, Tetuko Kurniawan, Suleiman Aliyu Babale , Cheng Zheng

111-119

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