Call for Papers for the Upcoming Issue.
Last Date of Submission :
25-02-2026
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International Journal of Artificial Intelligence, Data Science, and Machine Learning (IJAIDSML) is an international double-blind, peer-reviewed journal publishing original, unpublished theoretical research articles, review papers, survey papers, simulation models, refereed articles, technical notes, state-of-the-art, short communications, case studies and other papers in a wide range of researches in Artificial Intelligence (AI) Data Science and Machine Learning (ML). IJAIDSML invites submissions from academic researchers, industry professionals, and domain experts who are committed to pushing the boundaries of AI, data science, and machine learning for the benefit of society. Impact Factor: 6.5 |
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Current Issue
Vol. 7 No. 1 (2026)
Published:
2026-01-04
Articles
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Federated Learning with Smartphone Sensor Data
Dheeraj Vaddepally (Author)
1-7 -
Integration of Grok 3 AI Model in Oracle Cloud
Bharathram Nagaiah (Author)
8-11 -
AI-Augmented Compliance Monitoring for Enterprise Infrastructure
Nadeem Siddiqui (Author)
12-16 -
Beyond Automation: Achieving Coherent Intelligence with Shared Memory Architectures
Ameen Shahid Kolothum Thodika (Author)
17-20 -
Bridging Text Embeddings for Unconventional Linguistic Contexts
Pramath Parashar (Author)
21-25 -
Vibration and Acoustic Signal Analysis for Early Fault Detection in Clean-Room Robotics
Sayed Rafi Basheer (Author)
26-28 -
Privacy-Preserving Technologies in Edge Analytics: Architectures, Mechanisms, and Performance Frontiers
Naresh Kalimuthu (Author)
29-33 -
Generative AI for Microfluidic Device Design
Sayed Rafi Basheer (Author)
34-38 -
Self-Healing Data Pipelines: Leveraging AI to Detect and Correct Failures in Real-Time
Pooja Badgujar (Author)
87-90 -
Gaming as the Most Advanced E-Commerce Laboratory
Anand Ganesh (Author)
42-45 -
AI-Augmented DevSecOps in Azure Pipelines
Shailaja Beeram (Author)
46-48 -
Typed Telemetry, Advisory Analytics: An EPICS–Spark Architecture for Dental Robotic Arms
Ravi Dayani (Author)
49-55 -
Framework for Predicting Customer Channel Preference using Machine Learning
Vaibhav Tummalapalli (Author)
77-81 -
AI-Driven Supplier Relationship Management in the Digital Enterprise: Quantifying Value and Resilience with SAP Ariba
Gururaj Veershetty (Author)
82-86 -
Federated AI-Driven Query Optimization for Distributed Cloud Databases
Parameswara Reddy Nangi, Chaithanya Kumar Reddy Nala Obannagari (Author)
91-99 -
The Role of Machine Learning in Optimizing the Use of Low-GWP Refrigerants in HVAC Systems
Ankitkumar Tejani, Chitrang Talaviya (Author)
100-110 -
AI-Assisted Forecasting and Capacity Planning in Multi-Tenant Environments
Nikhita Kataria (Author)
111-115 -
Fraud and Bot Detection in Gaming Marketplaces
Anand Ganesh (Author)
116-119 -
Broadband Subscriber Data Integration with ETL to SaaS
Amey Deshpande (Author)
120-123 -
Designing Deployment Strategies like Blue/Green, Canary, and Feature Flags Optimized for Large-Scale, High-Traffic Systems
Sneha Palvai, Vivek Jain (Author)
124-129 -
Beyond CVEs: Agentic AI for Real-World Software Vulnerability Discovery and Prioritization
Vedika Saravanan (Author)
130-134 -
Deep Learning Models for Predicting Cyber‑Physical Attacks in Supply Chain Networks
Ankush Gupta, Soumya Remella (Author)
135-140 -
Scalable Adaptive Learning for Early Software Fault Prediction in Agile: From Reliability Gains to Sprint Planning Optimization
Mohit Bansal, Tanvi Arora, Rahul Chatterjee, Simran Kaur (Author)
141-148 -
Machine Learning Enhanced Molecular Docking: Advances in Algorithms, Accuracy, and Drug Discovery Efficiency
Dr. A. Basheer Ahamed, M. Riyaz Mohammed (Author)
149-157
