Vol. 1 No. 1 (2026): Artificial Intelligence and Machine Learning Systems

View Vol. 1 No. 1 (2026): Artificial Intelligence and Machine Learning Systems

Published: 2026-01-01

Articles

Cross-Domain Transfer Learning for Spatiotemporal Cellular Traffic Forecasting and Intelligent Resource Scheduling in 6G Networks

Viktor A. Reed, Milos Lehtonen (Author)
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Edge AI-Based Real-Time Personalized Retrieval for Resource-Constrained Mobile Applications

Shas Reandez (Author)
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Energy-Efficient Federated Learning for Distributed Edge–Cloud Computing Environments

Suresh Geripathi, Krish Gaha (Author)
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Cross-Domain Transfer Learning for Personalized Recommendation and Dialogue State Prediction

Finn Bush (Author)
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Graph Neural Networks for Social Context Modeling and User Preference Prediction in Conversational Agents

Vishal Cook, Otis Castro, Alessandro D. Franklin (Author)
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Adaptive Inference Optimization for Large Language Models Using Reinforcement Learning

Kamila Koscielak, Fem Koning, Baljiwan L. Gandhi (Author)
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Adaptive Multi-Agent Reasoning with Confidence-Aware Coordination for Reliable Large Language Model Systems

Elliot J. Lewis, Ashwin Jalas Prasad (Author)
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Accelerating Graph Transformer Models through GPU-Aware Kernel Fusion

Borys Szalas, Grant C. Walls, Hardi Natsir (Author)
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Multilingual Speech-Based Human–Robot Interaction for Personalized Assistive Robotics in Smart Living Environments

Bowan Riley, Lion Cehen (Author)
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Fuzzy Game-Theoretic Predictive Control for Integrated Vehicle Stability and Energy-Efficient Motion Management

Leif Coleman, Maurice Webb, Sawyer Jarvinen (Author)
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Deep Learning-Driven Cellular Traffic Forecasting for Intelligent 6G Network Resource Allocation

Crant Rowman, Rowan J. Bush, Fufang Meng (Author)
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Context-Aware Retrieval-Augmented Generation for Enterprise Knowledge Management

Kabir D. Mistry, Brakash Yrepathi (Author)
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Cross-Domain User Intent Modeling for Intelligent Conversational Search Systems

Manoj Dishra, Kanneth Rayes (Author)
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Event-Triggered Tube Model Predictive Control for Robust Vehicle Motion Tracking Under Uncertain Dynamics and External Disturbances

Mathan Breane, Ashwin Gill, Vishal M. Joshi (Author)
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Adaptive Query Routing for Domain-Specific Large Language Models with Retrieval-Augmented Generation

Juni Bjorklund, Loni Hellwig, Cliodhna J. Cloone (Author)
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AI-Assisted Prediction of Polysaccharide–Gluten Interactions for Optimizing Frozen Dough Quality

Hermann-Josef Zahn, Iona McGahey (Author)
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Cross-Lingual Singing Representation Learning for Semantic Music Retrieval

Blessandro A. Gamirez, Ceorge Bage, Gaul Rerry, Jesper Perez (Author)
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Federated Learning-Driven Privacy-Preserving Multilingual Speech Understanding for Intelligent Healthcare Communication Systems

Hector M. Karlsson, Sergei Gregory (Author)
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AI-Assisted Low-Latency Optical Communication for Distributed Cloud Computing

Wakeeta Vasa, Rotraut Ladeck (Author)
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Machine Learning-Guided Design of Natural Cryoprotective Systems for Frozen Dough Preservation

Achille Santoro (Author)
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Memory-Augmented Large Language Models for Adaptive E-Commerce Recommendation Systems

Kenneth D. Woods, Brant Herrisan, Matteo Simmons, Mikkel M. Ferguson (Author)
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Knowledge Graph-Enhanced Information Retrieval for Context-Aware E-Commerce Search

Wayne D. Bdwerd, Robert Oacobs, Florian L. Simmons (Author)
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Adaptive Nonlinear Approximation for Fast Privacy-Preserving Machine Learning

Emiliana Terron, Birgitt Mangold (Author)
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Resource-Efficient Large Language Model Inference through Dynamic CPU–GPU Workload Orchestration

Paul Mendez, Claude Young (Author)
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Action-Aware World Models for Long-Horizon Robotic Manipulation and Task Planning

Neil A. Koskinen, Wenhao Long, Hudson D. Reynolds (Author)
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Deep Learning-Based Singing Emotion Recognition and Multi-Style Vocal Generation

Leif Dawson (Author)
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Computationally Efficient Mamba Models for Large-Scale Medical Image Retrieval

Claude R. Norris, Brent Ortiz (Author)
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Knowledge-Enhanced Large Language Models for Joint Lyrics Understanding and Singing Voice Generation

Gylen Beiley, Fernando Barnett (Author)
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Advanced Ferroelectric Materials for High-Frequency and Low-Loss Electronic Components

Seaneen L. Purcell, Henni Kensy, Guiomar Castrillo (Author)
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Adaptive LLM Reranking for Multimodal Information Retrieval

Salvi Storladi, Cakrawala Prayoga, Febe Carro, Breandan Shortt (Author)
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Digital Twin-Based Optimization of Data Center Optical Interconnection Networks

Naomh Farrelly, Jacinta Lasa, Wiktor Kapral, Kajetan Irla (Author)
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Large Language Model-Based Semantic Search for Legal Document Retrieval and Case Analysis

Trevor R. Robles, Xiuke Tian, Kanald Rnderson, Herish Mair (Author)
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Adversarially Robust Machine Learning for Financial Risk Prediction under Distribution Shifts

Shawna Gross, Lieke Elsemulder, Nazario Cases (Author)
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Agentic Search Systems with Persistent Memory for Complex Web Information Retrieval

Quentin Jorgensen, Shengyun Wei, Henrik Ryan, Jesse C. Castro (Author)
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AI-Driven Detection of Cardiovascular Abnormalities from Wearable Sensor Data

Hugo M. Hansen, Juanye Sun, Antonio Woods (Author)
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AI-Assisted Chemotaxonomic Identification of Salvia Species Based on Cell Wall and Phytochemical Profiles

Claudio Richards, Chetan M. Yadav, Christopher M. Bowman (Author)
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Dynamic Graph Neural Network Acceleration with Runtime-Aware GPU Kernels

Sai Mukherjee, Lara McElgunn, Opung Damanik (Author)
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Machine Learning-Based Prediction of New Particle Formation Events from Terpene Chemistry and Anthropogenic Emission Interactions

Darren J. Woods, Edwin Marsh, Fengzhu Du (Author)
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Machine Learning-Enabled Process–Structure–Property Optimization of Ceramic Materials for Additive Manufacturing

Anish M. Mahajan, Ruben J. Reynolds, Arthur Willis, Jeffrey R. Rhodes (Author)
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Data-Centric Optimization of Autonomous Driving Trajectory Prediction via Intelligent Dataset Generation

Iisakki Gronroos, Gijs Rijcken, Rigo Koster, Annette Salazar (Author)
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AI-Assisted Discovery of High-Performance Dielectric Materials for 5G and 6G Communication Components

Finn Rao, Janan Lei, Manav Arorn (Author)
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Graph Sampling and GPU Kernel Co-Design for Scalable GNN Training

Cloe Balaguer, Faas van Liendert (Author)
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Personalized Academic Information Retrieval Using User Profiles and Large Language Model Agents

Felix R. Mendez, Zhouzhou Xu (Author)
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Dynamic Reasoning Budget Allocation for Efficient Large Language Model Inference

Arzu Wilmsen (Author)
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AI-Driven Digital Twins for Transportation Environments: Integrating Geospatial Scene Synthesis with VOC Exposure and Short-Term Health Risk Modeling

Dennis Stanley (Author)
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Graph-Based Drug–Peptide Recommendation for Discovering Novel Therapeutic Strategies against Age-Related Diseases

Marcus Woodard, Alessandra Verdone (Author)
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Interpretable Attention Mechanisms for Trustworthy Large Vision-Language Models

Roisin Roland, Taisto Honkanen, Chasmum Sankaran (Author)
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Reinforcement Learning-Based Prosody Optimization and Adaptive Singing Style Modeling

Ningcai Shen, Ronald L. Bush (Author)
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Hierarchical Reinforcement Learning for Tool-Augmented Reasoning in Large Language Models

Peyton Christiansen, Tobiasz Latek, Gaspar Folch (Author)
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AI-Driven Early Warning of Cardiovascular Abnormalities Using Continuous Wearable Biosensing

Cody Lindberg, Viktor L. Mills (Author)
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Knowledge Graph and Large Language Model Fusion for Explainable Medical Question Answering

Sofi Jorgensen (Author)
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Retrieval-Augmented Generation with Multi-Role LLMs for Evidence-Aware Search

Fenne Oversteeg, Angelino Alvaro (Author)
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Intelligent Modulation and Coding Adaptation for High-Speed Fiber-Optic Systems

Vilgot Holm, Naomh Deady, Frado D. Bajwa, Rhiannon Colfer (Author)
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Deep Learning-Based Motion Artifact Removal for Wearable Photoplethysmographic Signal Enhancement

Martin Patiers, Jordan M. Bryant, Grther Teylar (Author)
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Federated Generative Learning for Privacy-Preserving Personalized Health Monitoring with Wearable Sensors

Sean J. Marsh, Mark M. Edwards, Rowan J. Barnett (Author)
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Large Language Model Agents for Automated Financial Risk Analysis and Decision Support

Pim Meeres, Duilio Canales, Cahal Guerin (Author)
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Transformer-Based Modeling of Multimodal Physiological Signals for Human Activity Recognition

Fanhaoran Zhu, Sonia Upadhyay, Nathan R. Howard (Author)
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Low-Memory Graph Neural Network Training through Kernel-Level Optimization

Ciro Mondaini, Tellervo Vartiainen, Marissa Ali (Author)
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Unified Semantic Representation of Music Scores, Lyrics, and Singing Voices for Multimodal Artificial Intelligence

Gohan Gandhi, Arjun M. Srivastava (Author)
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Multi-Agent Reinforcement Learning for Autonomous Large Language Model Collaboration

Warjas Yogi, Urbano Isern, Geronimo Mocenigo, Milton Jansson (Author)
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Machine Learning-Driven Prediction of Dielectric Properties in Advanced Electronic Ceramics

Eustaquio Cifuentes, Lajita Borde, Donatello Gatto (Author)
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Multimodal Retrieval-Augmented Generation for Knowledge-Grounded Visual Question Answering

Edu Royo (Author)
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Motion Artifact Suppression in Photoplethysmography Using Adaptive Neural Networks

Jose Kelley (Author)
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Multi-Agent Reinforcement Learning for Collaborative Reasoning among Small Language Models

Reinhardt Soding, Moritz Drub, Graziano Bernardi (Author)
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Multimodal Vision-Language Models for Explainable Clinical Document Understanding and Medical Image-Based Decision Support

Ivan Hansen, Leihao Xu, Neeraj R. Bansal (Author)
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Quantization-Aware Optimization for Cryptographic Neural Network Inference

Mariah Stuart (Author)
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Optical Interconnect Design for Distributed GPU and AI Accelerator Clusters

Mandy Begum, Kacper Woloszyk (Author)
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Reinforcement Learning for Visual-Language Reasoning with Multimodal Large Language Models

Romolo Mastandrea, Sarah-Jane Rourke, Ale Ferrandiz, Rachelle Gogan (Author)
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Parameter-Efficient Fine-Tuning for Hallucination-Aware Multimodal Models

Ekkehard Kabus (Author)
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Reinforcement Learning-Based Post-Training Optimization for End-to-End Autonomous Driving Models

Pacifica Porras, Heinz-Werner Nohlmans, Micheala Kilgallon, Hendrik Bolnbach (Author)
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Self-Consistency Guided Path Selection for Complex Reasoning in Large Language Models

Aislinn Elwood, Jorg Trommler (Author)
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Runtime Scheduling for Efficient Graph Neural Network Workloads on GPUs

Rowan C. Coyne, Przemyslaw Maciuszek, Raffaella Pometta, Adina Kitzmann (Author)
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Uncertainty-Aware Retrieval-Augmented Generation for Hallucination Detection and Factuality Calibration

Arif Haering, Urszula Bahr, Sanya Manne, Tola Meler (Author)
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Vision-Language Agents for Adaptive Task Planning in Automated Software Workflows

Gustavo Zaccardo, Curro Valera, Apollonia Zahn (Author)
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