Journal of Advanced Artificial Intelligence Research

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Vol. 5 No. 1 (2026): Journal of Advanced Artificial Intelligence Research

View Vol. 5 No. 1 (2026): Journal of Advanced Artificial Intelligence Research

Published: 2026-01-01

Articles

AI-Enabled Predictive Maintenance in 5G Network Infrastructure Using PPO

Eduard R. Gutierrez, Jack Fowler, Elautio C. Bregory (Author)
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Causal Evaluation of Planning Strategies in Large Language Models Through Interpretable Quality Prediction and Counterfactual Reinforcement Learning

Claudio Bryant, Fernando Bennett, Vaibhav M. Chatterjee (Author)
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A Computational Study of Misinformation Diffusion and Public Opinion Formation in Online News Networks

Shane Makinen, Porge Anderson, Leixin Jia (Author)
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Energy-Efficient TinyML Architectures for AI-Driven Wearable Health Monitoring

Tingjin Gu, Pierre M. Allen (Author)
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AI-Based Early Warning Systems for Climate-Driven Infrastructure Risk Assessment

Malcolm Larsen, Hector Sanders (Author)
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Adaptive Reward Modeling for Large Language Model Reasoning Using Response Quality Prediction and Explainable Machine Learning Techniques

Sven Beck (Author)
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Analyzing the Role of Natural Language Processing in Detecting Public Sentiment Shifts on Social Media

Ronald R. Stanley, Grant Love (Author)
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Cross-Modal Trajectory Prediction and Scene Understanding in Autonomous Driving Videos via Hierarchical Motion Encoding

Pradeep Yittal, Micolas Gohnaston, Giorgio J. Makinen, Gerald L. Neal (Author)
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Cross-Layer Resource Management in 5G and Beyond Networks Using PPO-Based AI Models

Brent J. Gustafsson (Author)
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A Multimodal Spatio-Temporal Transformer for Trajectory-Aware Long Video Event Understanding in Intelligent Transportation Systems

Olivier Jarvinen, Bedra Millis, Jeffrey Daker (Author)
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Explainable AI-Assisted Clinical Decision Support Using Electronic Health Record Time-Series Data

Binay Venkataraman, Brandon Lindgren, Claudio J. Jacobs (Author)
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AI-Driven Resource Allocation for Sustainable Green Data Center Operations

Anjing Tian, Pankaj A. Srinivasan, Brant Russell (Author)
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Explainable Multimodal AI for Real-Time Industrial Fault Diagnosis in Edge Environments

Sunil Chatterjee, Claudio B. Fernandez, Thomas Aay, Kunran Peng (Author)
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AI-Enabled Digital Twin Framework for Predictive Maintenance in Autonomous Manufacturing

Tejas Bose, Roy Harrison, Francesco R. Rhodes (Author)
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Dynamic Traffic Forecasting for 5G Networks Using PPO-Enhanced Reinforcement Learning

Jordan Ramirez, Micotlas Gamilton, Landon Makinen (Author)
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Cross-Sensor Temporal Fusion for Crop Monitoring Using Weak-Signal Attention and State-Space Modeling

Matteo Willis, Robert M. Bergman, Sagar Gumar (Author)
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Detecting Sentiment Bias in Digital Media and Its Influence on Collective Perception

Amit M. Chatterjee, Krishna D. Mittal (Author)
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Adaptive Band Selection Strategies for Hyperspectral Image Reconstruction in Multi-Agent Autonomous Navigation

Sawyer Reynolds, Mateo L. Mendez, Nils Moran (Author)
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AgriSwarm-RL: Multi-Agent Reinforcement Learning for Dynamic Task Allocation and Cooperative UAV Spraying in Heterogeneous Crop Fields

Warren Miles, Rahul Betty, Giorgio M. Washington (Author)
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Federated Reinforcement Learning for Privacy-Preserving Smart Healthcare Decision Systems

Wesley T. Washington (Author)
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Cross-Modal Knowledge Distillation for Low-Resource Intelligent Surveillance Systems

Kui Chen Li, Beeraj Mistry (Author)
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Explainable Long Video Understanding through Dynamic Motion Tokens and Temporal Causal Discovery

Henri M. Rose (Author)
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Digital Twin–Enabled Cooperative Path Planning and Resource Optimization for Large-Scale Agricultural UAV Fleets

Anish Butta, Bnand Nair, Adrian Woffman (Author)
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Digital Twin-Oriented Spatio-Temporal Modeling of Crowd Dynamics Using Hierarchical Multi-Stream Video Representations

Terry J. Bowman, Zhuting Liu, Bennett C. Steele (Author)
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Explainable Benchmarking of LLM API Services: Predictive Quality Assessment, Failure Attribution, and Robustness Analysis Under Adversarial Conditions

Milos Carpenter, Leisheng Cui, Madhav Balhotra (Author)
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Energy-Aware Coverage Optimization of Solar-Assisted UAV Swarms for Sustainable Precision Farming Operations

Yark Meail (Author)
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AI-Driven SLA-Aware Resource Allocation in Edge Computing for 5G Slices

Colin D. Hunt, Anirudh Tyer, Aerry Mimpson (Author)
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Emotion-Aware Conversational AI with Multilingual Context Alignment for Social Robotics

Kevin A. Edwards (Author)
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Federated Learning-Based Multi-UAV Collaboration for Adaptive Pest Detection and Precision Spraying in Smart Agriculture

Darren Lehtonen, YinJun Xu (Author)
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Federated HyperFusion: Privacy-Preserving Collaborative Learning for Cross-Platform Hyperspectral and LiDAR Data Fusion

Haolei Shen, Rorge Darr, Ghomas M. Tillis, Gnkit Bgarwal (Author)
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Heterogeneous Sensor Data Fusion with Gated Abundance Networks for Urban Change Detection

Otis Rhodes, Jose Boung (Author)
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CLIP-UnmixRS: Vision–Language Assisted Hyperspectral Unmixing with Semantic Endmember Prior Learning

Yaofu Yao, Pavel Miles (Author)
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GraphWS-Net: Weak-Signal Graph Representation Learning for Nonlinear Spectral Unmixing in Complex Remote Sensing Scenes

Kiran C. Jain, Bojin Jin, Hishna Barekh (Author)
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Hierarchical Multi-Scale Attention Networks for Integrating Hyperspectral, LiDAR, and Camera Data in Smart Cities

Otis Taylor, Rowan L. Lopez, Keguo Gu, Tobias Griksson (Author)
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Hierarchical Planning and Execution for Autonomous Scientific Discovery Agents Using Fast–Slow Reasoning Architectures

Kiran Ganguly (Author)
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Retrieval-Augmented Reinforcement Learning with Dynamic Deliberation Control for Knowledge-Intensive Large Language Model Applications

Vishal Perkins, Ravi Shah, Abhay Hegde, Albert Perkins (Author)
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Explainable AI Agents for Autonomous System Evaluation: Integrating SHAP-Based Decision Attribution with Hierarchical Planning in Large Language Models

Sergei Wilson (Author)
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Interpretable Machine Learning for Predicting Functional Properties of Porous and Two-Dimensional Materials

Otis Bowman, Stefano Becker, Eduard Nane, Claude Webb (Author)
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Plan-Augmented Multi-Agent LLM Systems for Enterprise Workflow Automation: A Thinking Fast and Slow Decision Framework

Francesco M. Ferguson, Brendan Young (Author)
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WorldModel-Unmix: Generative Earth Observation World Models for Spectral Evolution Prediction and Hyperspectral Unmixing Analysis

Jerome R. Perkins, Jose L. Jarvinen, Keith L. Sanders, Mikko Hawkins (Author)
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FedPlanGuard: Planning-Aware Backdoor Detection and Mitigation in Federated and Vertical Split Learning Systems for LLM-Driven Applications

Tejas Natarajan, Manav C. Malhotra (Author)
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Personalized Educational Agents with Adaptive Cognitive Modes: Reinforcement Learning for Fast Feedback and Deep Reasoning

Mikkel Lawson, Leonard Ran (Author)
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Reinforcement Learning for Adaptive Load Balancing in 5G-Integrated IoT Systems

Maheo Kawson, Paul Makinen (Author)
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Human-in-the-Loop Reinforcement Learning for AI Governance: A Fast–Slow Decision Paradigm for Responsible LLM Deployment

Tianyi Shao, Landon R. Martin, Stefano Phillips, Enzo Castro (Author)
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Self-Supervised Hyperspectral-LiDAR Pretraining for Large-Scale Remote Sensing Foundation Models

Brent R. Butler (Author)
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Machine Learning-Assisted Prediction of Gas Adsorption and Thermo-Physical Properties in Advanced Carbon-Based Materials

Wesley Jimenez, Harish Joshi, Zhi Wei, Aapo Warner (Author)
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TemporalMixFormer: Spatiotemporal Spectral Unmixing for Multi-Date Hyperspectral Earth Observation Using Dynamic State-Space Networks

Chengxue Zhou, Anil Mukherjee, Pascal Bailey (Author)
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Self-Supervised Interleaved Motion Representation Learning for Long-Range Sports Video Analytics

Ishaan Smith (Author)
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