Total Articles : 29
Confident but Wrong: A Lifecycle Analysis of Hallucination in Large Language Models Understanding AI’s Confidence Problem
Abstract: A Large Language Model (LLM) is likely to produce sentences that are fluent and confident in many instances, but completely wrong. In many cases a Large Language Model (LLM) will produce a fluent and confident sentence that is completely incorrect. …
[This section belongs to Journal of Artificial Intelligence Research & Advances ]
Artificial Intelligence and Machine Learning Approaches for Corrosion Prediction and Management of Steel Reinforcement in Concrete: A Systematic Review
Abstract: Load bearing concrete structures need steel reinforcement bar (rebar), which are prone to attack by the corrosive environment inside the concrete due to constant ingress of moisture, pollutant gases and anions (mainly Cl−, SO42−). In recent models …
[This section belongs to Journal of Artificial Intelligence Research & Advances ]
Artificial Intelligence in Healthcare for Implants and Tissue Regeneration: Advances, Challenges, and Future Directions
Abstract: Artificial intelligence (AI) has been a revolutionary influence in contemporary healthcare, especially in implant design, biomaterials research, and tissue regeneration. In regenerative medicine, AI facilitates predictive modeling, optimization, and …
[This section belongs to Journal of Artificial Intelligence Research & Advances ]
Artificial Intelligence-Based Workforce Analytics Framework for Predicting Employee Engagement and Continuous Performance Improvement: Evidence from Tata Steel
Abstract: In large, diversified manufacturing organizations, managing employee engagement and sustaining performance require systematic understanding of workload distribution, employee sentiment, and workplace experience. This study examines the role of …
[This section belongs to Journal of Artificial Intelligence Research & Advances ]
Artificial Intelligence for Sustainable Agriculture, Forestry and Rural Development: Recent Advances, Applications and Research Opportunities
Abstract: Artificial Intelligence (AI) has emerged as a transformative technology with the potential to revolutionize agriculture, forestry, and rural development by enabling data-driven decision-making, resource optimization, and sustainable management …
[This section belongs to Journal of Artificial Intelligence Research & Advances ]
Artificial Intelligence in Education: Empowerment or Cognitive Dependency? A Critical Analysis
Abstract: Artificial Intelligence (AI) has become an important part of modern education, changing how students learn, practice, and complete academic tasks. AI-based tools such as intelligent tutoring systems and generative models improve personalization, …
[This section belongs to Journal of Artificial Intelligence Research & Advances ]
RoseRAG-Based Clinical Decision Support System for Precision Medication Safety
Abstract: Medication-related errors remain a major challenge in healthcare, contributing to adverse drug events, increased hospitalization rates, and substantial healthcare costs. Conventional Clinical Decision Support Systems (CDSS) primarily rely on …
[This section belongs to Journal of Artificial Intelligence Research & Advances ]
Harnessing Artificial Intelligence for Sustainable Development in Jharkhand: Environmental and Socio-Economic Perspectives
Abstract: Jharkhand is derived from Indo-Aryan languages, comprising two words, “Jhar” meaning “Forest” and “khand” meaning “Land”, meaning FOREST LAND. Geographically, Jharkhand is India’s 15th-largest state, and population-wise, it is the 14th-largest. …
[This section belongs to Journal of Artificial Intelligence Research & Advances ]
Machine Learning-Based Task Scheduling and Resource Optimization in Edge-IoT Systems
Abstract: The rapid expansion of Internet of Things (IoT) applications has introduced significant challenges in managing computational workloads across distributed edge environments. Edge- IoT systems are characterized by limited computational capacity, …
[This section belongs to Journal of Artificial Intelligence Research & Advances ]
Federated Learning for Privacy-Preserving AI Model Training Across Distributed Healthcare Systems
Abstract: Building effective AI diagnostic tools in clinical environments presents a fundamental contradiction — the patient data most critical to model performance is precisely the data subject to the strictest legal and institutional restrictions. …
[This section belongs to Journal of Artificial Intelligence Research & Advances ]