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

View 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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