Skip to content
Journal

Asian Journal of Research in Computer Science

Published by SCIENCEDOMAIN international · ISSN (electronic) 2581-8260

Search within this journal

918

Articles indexed

126

2026 articles

918

Open access

9,647

Citations (indexed)

Publications by year

Articles (918)

Real-time Weather Estimation and Forecasting Using Hybrid Machine Learning Approaches

K. Nalini, S Raghucharan, M Lokesh Reddy, P Vignesh & N Shiva Sai · Asian Journal of Research in Computer Science · 2025

In real-time forecasting, estimation is the most crucial measurement for atmospheric observations by time and area. Present-day weather conditions observations are most important for many things, like agriculture, and different types of calamities that are unexpected in normal li...

Open access Research Article 10.9734/ajrcos/2025/v18i5654

MicroTrack Vision Pro: AI-Powered Small Object Recognition for Railway Safety

Myana Santhoshini, Sankeerthana Seethala & N. Ch. Sriman Narayana Iyengar · Asian Journal of Research in Computer Science · 2025

Ensuring operational safety on electrified railways requires the accurate detection of small foreign objects, necessitating high-precision detection algorithms. EBSE-YOLO represents an advanced algorithm dedicated to advancing small goal recognition within electrified train setti...

Open access Research Article 10.9734/ajrcos/2025/v18i5655

Enhancing Financial Cybersecurity in Cloud Engineering: A Systematic Review of Threats, Mitigation Strategies and Regulatory Compliance

Omoshalewa Anike Adeosun, Adepeju Deborah Bello, Oreoluwa Abimbola Serifat & Clifford Godwin Amomo · Asian Journal of Research in Computer Science · 2025

Aims: This review analyses the intersection of cloud engineering and cybersecurity in the financial sector, highlighting how advanced cloud technologies can improve defences against cyber threats for safe evolution. The aim is to examine modern methodologies, frameworks, and tech...

Open access Research Article 10.9734/ajrcos/2025/v18i5652

Enhancing Customer Churn Prediction in Telecommunications through Deep Learning: A Comprehensive Review

David Ater, Kufre M. Udofia, Akaninyene B. Obot & Itoro Akpabio · Asian Journal of Research in Computer Science · 2025

Customer churn remains a critical challenge for the telecommunication industry, directly impacting revenue and customer retention strategies. Traditional churn prediction models based on statistical and machine learning techniques have shown limited adaptability in capturing comp...

Open access Research Article 10.9734/ajrcos/2025/v18i5649

Estimating Nutritional Composition from Food Volume Via Deep Learning-Based Depth and Segmentation Models

Anh Le, Anh Do, Thanh Nguyen, Binh Nguyen, An Tran & Nha Tran · Asian Journal of Research in Computer Science · 2025

Nutrition plays a critical role in human health, with a balanced diet being essential for preventing non-communicable diseases, enhancing immune function, and improving quality of life. However, dietary imbalances contribute to significant global health issues, including obesity...

Open access Research Article 10.9734/ajrcos/2025/v18i5650

Multi-model Learning Methods for Oil Price Prediction

Subhani Shaik, A. Sreeja, B. Spoorthi & Saniya Noorin · Asian Journal of Research in Computer Science · 2025

Present-day oil prices are rising due to certain conditions like inflation entire world. It is a major problem in the world. It affects so many fields connected to human life. Oil price prediction is most important for business scenarios. Machine learning algorithms play a key ro...

Open access Research Article 10.9734/ajrcos/2025/v18i5651

Machine Learning-based Customer Churn Analysis in Telecommunications Using Support Vector Machines

Joe BALANGA KOKO, Guylit KIALA LUTUMBA, Francis KANGA SALU, Kevin MONGOY BONYOLO, David-Rissy NKUNGA MBUDI, Arnold KIALA WA KIALA, Thanks PEMBELE NTUMBA, Valery LUKEKA BIEMBA, Paslin BOKETSHU PASLIN & HUGGES LANGA KOYEDUA · Asian Journal of Research in Computer Science · 2025

Faced with globalization and increasing competition, the information available via the Internet and the many connected objects continues to increase. This explosion of data, often heterogeneous and from diverse sources, poses major challenges in terms of storage, analysis and exp...

Open access Research Article 10.9734/ajrcos/2025/v18i5648

A Hybridized Machine Learning Based Crisis Period Prediction System for Epileptic Patient Using Crisp-DM and SVM

Nwali, Monday Ekpe, Adene, Gift, Aniji, Ifesinachi Veronica, Kalu-Orji, Chima Ogugua & Iweama, William Chukwuebuka · Asian Journal of Research in Computer Science · 2025

Epileptic seizures are unpredictable and can severely impact the quality of life of patients. To address this challenge, this research presents a hybridized machine learning-based crisis period prediction system designed to predict seizure occurrences with high accuracy. The syst...

Open access Research Article 10.9734/ajrcos/2025/v18i5645