International Journal of Artificial Intelligence Research

About the Journal

International Journal of Artificial Intelligence Research (IJAIR) is a peer-reviewed, open-access journal dedicated to advancing foundational research and applied innovation in artificial intelligence and intelligent systems.

The journal publishes high-quality original research, reviews, and technical studies across machine learning, deep learning, natural language processing, computer vision, robotics, data science, and decision systems. It welcomes interdisciplinary contributions integrating AI with engineering, healthcare, business, environmental systems, and the social sciences.

IJAIR is committed to rigorous peer review, academic integrity, and the dissemination of impactful, globally relevant AI research.

Current Issue

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

Published: 2026-01-29

Articles

Adaptive Multi-Objective Optimization in Large-Scale Artificial Intelligence Systems

Michael A. Reynolds, Sophia L. Bennett
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Adaptive Neural Networks for Financial Risk Forecasting in Volatile Markets

Walter Langston
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A Data-Driven Artificial Intelligence Framework for Predictive Maintenance in Smart Manufacturing

Yuchen Zhao, Shuai Chen, Robert L. Mitchell, Daniel P. Foster
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Artificial Intelligence for Modeling Investor Behavior and Market Sentiment Dynamics

Elias Thorne-Smith, Sarah Katherine O’Donnell
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Sentiment-Aware Financial Forecasting Using Natural Language Processing and Deep Learning

Leon Kingsley, Victor Radcliffe
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AI-Driven Fairness-Aware Resource Scheduling and Optimization in Constrained Cyber-Physical Infrastructures

Wei Zhang, Li Chen
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AI-Based Predictive Analytics for Economic and Financial System Risk

Alistair K. Vance, Elena R. Sterling, Julian M. Thorne
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A Distributed Cloud-Edge Infrastructure for Equitable Healthcare: Scaling Privacy-Preserving LLMs to Identify Regional Care Disparities

Elena Rodriguez
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Deep Reinforcement Learning for Dynamic Portfolio Optimization in Financial Markets

Helena J. Sterling, Marcus V. Thorne
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Self-Supervised Representation Learning for Financial Time-Series Forecasting

Colin Sutherland
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An Interpretable and Drift-Aware AI Framework for Real-Time Financial Fraud Detection in Large-Scale Transaction Systems

Zhihao Wang, Yiming Chen, Haoran Liu
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Artificial Intelligence Approaches for Multi-Asset Portfolio Allocation

Harrison W. Thorne, Elena R. Sterling, Marcus J. Vance
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Enhancing Agricultural Resiliency through Collaborative Swarm Perception and Decentralized Large Language Models for Large Scale Crop Health Analytics

Anthony Thornton
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AI-Driven Cloud–Edge Infrastructure for Resilient Smart Water Systems in the United States

Zhiwen Fang
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Artificial Intelligence Methods for Detecting Financial Contagion and Market Interdependence

Evan Whitmore, Caleb Remington
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Autonomous Carrier Landing Control Strategy for VTOL UAVs Based on Deep Deterministic Policy Gradient Reinforcement Learning

Yiming Liu, Daniel R. Hoffman, Jianwei Wang
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A Hybrid LSTM–Attention Network for Stock Market Trend Prediction and Risk Analysis

Silas T. Thorne, Elena R. Sterling
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An AI-Driven Multi-Source Data Fusion Framework for Intelligent Network Optimization in 5G-A Systems

Marc Fischer, Elena Conti
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Artificial Intelligence for Personalized Digital Advertising: Methods and Applications

Ethan J. Mercer, Daniel R. Holloway
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Reinforcement Learning-Based Portfolio Management with Financial Time-Series Forecasting

Bryan Brooks, Paul Blackwood
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Adaptive Deep Reinforcement Learning for Robust Control of Uncertain Dynamic Systems

Zhe Liu, Kevin M. Reynolds, Bo Li
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Graph Neural Networks for Modeling Systemic Risk in Financial Networks

Julianne S. Fairfield, Randall T. Vance
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AI-Driven Personalized Learning Systems for K-12 Education: Enhancing Educational Equity and Outcomes in the United States

Jason Miller, Mary Johnson
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Adaptive Privacy-Aware Fair Exposure Allocation for AI-Generated Content in Decentralized Advertising Ecosystems

Daniel R. Whitman, Zhang Wei, Yichen Liu
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Graph Neural Networks for Cross-Market Financial Prediction and Systemic Risk Modeling

Shawn Nolan, Arthur Prescott
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Accelerating Financial Intelligence via High Throughput Distributed Systems for Large Language Model Augmented Time Series Forecasting

Simon Ellsworth, Trevor Kingsley
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Deep Learning Approaches for Financial Volatility Forecasting and Market Stress Detection

Raymond S. Vance, Linda K. Chen, Samuel T. O’Reilly
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Machine Learning Models for Predicting Extreme Market Drawdowns

Philip Westbrook, Shawn Ellsworth, Marcus L. Sterling
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Intelligent Optimization and Fair Resource Allocation in Constrained Digital and Cyber-Physical Systems

Daniel R. Whitman, Emily J. Carter
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Multimodal Financial Market Prediction Using Market Data and News Sentiment

Sterling A. Thorne
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A Decentralized Cloud-Edge Infrastructure for Social Commerce: Accelerating Privacy-Preserving LLM Inference via Trusted Execution Environments

Elias Vance, Alan Davenport, Douglas Redmond
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Transformer-Based Deep Learning for Financial Time-Series Forecasting: A Multi-Horizon Prediction Framework

Julian R. Sterling, PhD, Elara V. Montgomery, PhD
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Machine Learning Models for FinTech Risk Monitoring and Financial Market Stability

Simon Sutton, Marcus Pennington
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An Explainable Deep Learning Framework for Medical Image Diagnosis Using Attention Mechanisms

Haoran Zhang, Jun Wang
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A Transformer Ensemble Framework for Early Warning of Financial Market Turbulence

Raymond V. Sterling, Julian A. Vance
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A Unified Cloud-Edge Infrastructure for High-Frequency Financial Forecasting: Synergizing Stream Computing with LLM-Based Reasoning

Wesley Hollis, Caleb Prescott
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Privacy-Aware AI Advertising Systems: A Federated Learning Framework for Cross-Platform Personalization

Ethan Caldwell, Sofia Bennett
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Risk-Aware Portfolio Construction Using Transformer-Based Financial Forecasting

Edward Hollingsworth
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Improving Domain-Specific Text Understanding with Large Language Models via Hybrid Fine-Tuning Strategies

Peng Xu, Tingmeng Li, Jintao Liang
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Artificial Intelligence for Financial System Stability: A Data-Driven Modeling Approach

Evelyn R. Sterling, Silas J. Vance
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Decentralized Risk Assessment for Zero-Trust Microservices: A Federated Learning Approach to Vulnerability Analytics

Daoquan Zhou
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