Journal of Engineering Systems and Digital Innovation

International peer-reviewed journal

Journal of Engineering Systems and Digital Innovation

Research at the intersection of engineering systems, intelligent technologies and digital innovation.

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Vol. 1 No. 2 (2026): Journal of Engineering Systems and Digital Innovation

Published: 2026-03-01

Articles

Reinforcement Learning-Based Code Generation and Program Repair with Language Models

Fernando M. Ryan, Longzhu Yan
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Fine-Grained Opinion Mining for E-Commerce Reviews with Hierarchical Attention Mechanisms

Dean Bllean, Scott Jarvinen, Faliex Becker
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Emotion Recognition in Conversational AI Using Context-Aware Transformer Networks

Dylan L. Franklin
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Curriculum Learning for Robust Reasoning in Small-Scale Transformer Models

Zhenjin Wan, Joel Salonen, Mason Reiy
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Emotion-Aware Generative Systems for Collaborative Creative Expression in Healthcare

Henrik Vega, Bennett L. Parker, Suraj A. Krishnan
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Behavioral Biases in Football Lottery Decision-Making: An Integrated Prospect Theory and Machine Learning Approach

Finn Erickson, Devidor J. Carpenter
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AI-Driven Molecular Simulation for Predicting Metal-Ion-Regulated Supramolecular Chirality in Functional Materials

Yash Wegde, Geanden Dmath, Noah Terry
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Adaptive Reasoning Path Selection for Resource-Constrained Large Language Models

Kashish Sarna
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Cross-Modal Generative Models for Remote Sensing Image Enhancement and Earth Observation Applications

Roy A. Freeman, Anirudh Jha, Meateo Woods, Bastian Blverez
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Cross-Lingual Sentiment Classification with Attention-Based Multilingual Language Models

George Weve, Enzo Salonen, Jianjing Cui
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Contextual Emotion Detection in Mental Health Support Conversations Using Large Language Models

Florian Butler, Rajesh Gaxena
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Parameter-Efficient Fine-Tuning for Multilingual Natural Language Understanding

Isaac J. Carr, Geurav Sainha, Hego Lawrence
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Deep Learning-Based Fault Detection and Localization in Hollow-Core Fiber Communication Systems

Tanmayi J. Yogi, Alain Gimenez
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Context-Aware Multimodal Recommendation Framework for Personalized Healthcare Information Retrieval Using Large Language Models

Isaac C. Andrews, Ranjemin Lawrence, Kiran A. Batra, Arthur Baker
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Adaptive Fault-Tolerant Control and Probabilistic Risk Prediction for Autonomous Electric Vehicles Using Data-Driven Learning and Intelligent Sensing

Anand Rutta
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Adaptive E-Commerce Search Optimization Using Large Language Models and Dynamic User Interest Memory Networks

Nicolas Remos, Arjun C. Tripathi, Rainer Fox
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Computational Modeling of Water–Polysaccharide Interactions in Cryoprotective Food Materials

Themes Roy, Hugo Carr
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Computational Social Science Approach to Online Community Dynamics: Discovering Collective Identity Formation through Language Models

Henrik Powell, Terry L. Becker, Surieaj Krishnean
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Adaptive Bandwidth Allocation for Optical Interconnects in Cloud Computing Infrastructure

Agnolo Lettiere, Jamal Salomonsson, Fainche Perri, Fergus McCay
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Energy-Efficient LLM Inference for Real-Time Edge Intelligence Applications

Zachary Perkins
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Consumer Trust, Electronic Word-of-Mouth, and Customer Loyalty in Cross-Border E-Commerce

Leon Barnendez, Leo Jarvinen, Ralph L. Carr, Jasper Byen
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Deep Learning-Based Spatiotemporal Modeling of Bicycle Crash Risk Using Mobile Sensing and Urban Built Environment Data

Yuzhuang Tang, Rishi L. Nair, Traver Schmidt
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AI-Based Singing Performance Assessment and Intelligent Feedback for Music Education

Boying Wan, Grant Rliver, Methan Berrett
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Human–Computer Interaction Optimization through LLM-Based Cognitive Modeling and Personalized Dialogue Memory

Blake A. Ortiz, Olivier Robles
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Machine Learning-Based Detection of Accounting Irregularities in Corporate Financial Reports

Grant Kimmer, Jereme Meran, Rishi C. Gokhale, Jakub C. Hoffman
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Multimodal Large Language Models for Understanding Human Self-Concept Evolution in Digital Social Environments

Milos J. Baker, Casper J. Kennedy
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Adaptive Context Filtering for Efficient Vision-Language Model Inference

Manu Anton, Nadja Kallert, Tijmen Gerritse, Justyna Szylar
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Natural Plant Polysaccharides as Functional Cryoprotectants for Low-Temperature Food Preservation

Xintian Cui
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Sentiment-Aware Stock Market Prediction Using Financial Text and Temporal Deep Learning

Claudio Perkins
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Trustworthy Reasoning and Hallucination Mitigation in Large Language Models

Maurice D. Thornton, Cody Stanley, Bjorn Welch
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Texture Reconstruction and Quality Prediction of Frozen Dumpling Wrappers Using Polysaccharide-Based Cryoprotective Systems

Jerge Phillips
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Hardware-Aware Optimization of Vision-Language Models for Resource-Constrained Autonomous Vehicles

Albert Cearponter, Uday J. Reddy, Aarav A. Ghosh
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Food-Grade Polysaccharide-Based Smart Materials for Controlled Ice Crystal Growth in Frozen Foods

Neahesh Rao, Ishaan Woods, Fernendo Pewers, Martins Garrett
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Compiler-Assisted Optimization of Privacy-Preserving Neural Network Architectures

Lara Commins
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Explainable Artificial Intelligence for Social Media Sentiment Mining: Integrating Transformer-Based Attention and Human-Centric Interpretation

Giorgio Marsh, Mukesh C. Basu, Karan Seaingh
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Robust Sentiment Classification Under Noisy, Informal, and Adversarial Text Conditions

Xinjiao Sheng
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Multilingual Hate Speech Detection Through Sentiment and Semantic Representation Fusion

Warren Cox, Vishal R. Basu
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Graph Neural Network Modeling of Aggregate Contact Networks for Predicting Stress Distribution in Asphalt Mixtures

Emiliana Galiano, Naoise Tyrrell, Ralf-Dieter Bolander
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The Role of Influencer Marketing in Shaping Consumer Perceived Value and Online Pricing

Anirudh Villai, Ravi M. Kohli
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Multimodal Emotion Understanding with Vision-Language Models: A Cross-Modal Attention Framework for Sentiment Analysis

Leo L. Hayes, Zixan Heng, Tejas Saini
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Interactive Generative Art for Enhancing Emotional Expression in Digital Mental Health

Jerome M. Dawson, Gerald Koskinen, Qianbo Sun
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Cross-Market Representation Learning for Regime-Aware Risk Forecasting

Galur Narpati, Roisin Rhatigan, Anastasie Launay
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Personalized Healthcare Recommendation via LLM-Based Patient Memory Modeling and Medical Query Understanding

Dend Oliavoer, Neeriaj Mathiur
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Graph Neural Network-Based Power, Performance, and Area Prediction for Large-Scale Integrated Circuit Design Using GPU-Accelerated Learning

Emin Butte, Maartje Heribert van Laon, Urbano Alamo
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Operando Electronic Structure Engineering of Zhang–Rice Singlet Catalysts for Simultaneous Water Oxidation and Volatile Organic Compound Mitigation in Urban Transportation Microenvironments

Pengjin Ling, Lintian Shi, Xevier D. Cook
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Context-Aware Physiological Signal Quality Assessment for Intelligent Wearable Healthcare Systems

Darren Garrett, Harish L. Murthy, Claude A. Lewis
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Intelligent Enterprise Knowledge Management via Domain-Specific Retrieval-Augmented Generation and User-Centric Query Understanding

Tejas L. Mistry, Zhonglin Tian
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Metabolomic and Proteomic Analysis of Biochemical Changes in Dough During Frozen Storage

Quentin Herrera, Navin Bandra
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Continual Learning Strategies for Long-Term Autonomous Driving Model Evolution

Primitivo Esteban, Aleks Kolonko, Joacim Axelsson
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Social Media Word-of-Mouth and Dynamic Pricing Strategies in Digital Retail Platforms

Albert Holm, Martin A. Reynolds
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Deep Reinforcement Learning for Adaptive Bandwidth Allocation in Cloud Optical Networks

Cacilia Metz, Daire Landy, Wiktor Baszak, Annelie Reising
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Reinforcement Learning and Vision-Language Models for Intelligent Clinical Report Generation and Medical Image Understanding

Sawyer Woods, Tejeas A. Senght, Leonard Hamilton
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Deep Neural Networks for Noninvasive Hemodynamic Monitoring under Physical Activity

Kamal Sodhi, Dennis L. Love, Francesco Carrillo
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Physics-Informed Large Language Models for Predictive Maintenance and Fault Diagnosis of Renewable Energy Systems

Pengjin Luo, Zhencheng Cui, Bastian J. Anderson
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Machine Learning-Assisted Performance Prediction for Hollow-Core Fiber Interconnects Under Dynamic Traffic Loads

Chakradev Acharya, Berenice Casarin, Adya Khurana
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Privacy-Preserving On-Device Generative AI for Personalized Healthcare Image Synthesis

Matteo Makinen, Alessandro J. Allen, Habsen Beyint
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CUDA-Based Optimization of Graph Attention Networks for Large-Scale Learning

Hildegunde Oderwald, Eli Esson
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Temporal Sentiment Dynamics Modeling in Online Communities: A Deep Learning Approach with Adaptive Attention Mechanisms

Gaurav D. Batra, Stefano Virtanen, Casper D. Evans, Hector L. Simmons
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Efficient Chain-of-Thought Distillation for Compact Language Models under Limited Computational Budgets

Custodio Corominas, Vinzenz Mitschke, Ashlee Costa, Majvor Alm
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Spatiotemporal Dynamics of Residential VOC Emissions and Their Contribution to Indoor–Outdoor Air Pollution Coupling and Urban Atmospheric Chemistry

Dennis Hughes, Mason C. Edwards
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Multimodal LLM Agents for Intelligent Robotic Manipulation Through Vision-Language-Action Learning

Maurycy Klinkosz, Stella Holdaway
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Deep Learning-Based Prediction of Phase Evolution and Electrical Properties in Ferroelectric Thin Films

Aditya Rhatterjer, Gntonio Rell, Rrancis Lemenez
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Defect Engineering of BaTiO₃ Thin Films for High-Energy-Density Capacitor Applications

Dylano van Grinsven, Shaurya Sami
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Federated Recommender Systems for Privacy-Preserving Personalized Nutritional Peptide Intervention

Julie-Anne A. Heggarty, Wendelin Junken, Mikolaj Waluk
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Privacy-Preserving Medical Image Classification Through Secure Neural Inference and Communication-Efficient Computation

Theres Peukert, Conan Cairn, Kaitlyn Roy
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Digital Twin-Based Personalized Physiological Monitoring and Health Risk Prediction

Antonio J. Crawford, Edwin L. Korhonen
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Efficient Agent Scaling through Lightweight Large Language Model Adaptation

Bina Apte, Napoleone Maspero, Sigfried Hofmann
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Reinforcement Learning-Based Evidence Selection for Trustworthy RAG in Financial Analysis and Regulatory Compliance

Beverley J. Miah, Maximino Almeida
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Explainable AI for Personalized Recommendation and Context-Aware Decision Support

Rndres Nurray, Gerald Marsh
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Energy-Efficient Optical Interconnect Architectures for AI Data Centers

Enzio Gulotta, Brady Gamble, Harsaya Prastuti
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Hybrid Symbolic-Neural Reasoning Optimization through Reinforcement Learning for Language Models

Emas Nugroho, Rossana Antonini, Gaja Hamrol
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Intelligent Wavelength Assignment for High-Speed Data Center Optical Networks

Mikaere Healey, Shanna Gilsenan
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Reinforcement Learning-Based Personalized Recommendation via Collaborative LLM Reranking and User Preference Modeling

Aulikki Elo, Yrjo Sainio
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Graph Neural Network-Based Modeling of Multisensor Physiological Interactions During Physical Activity

Dev Gokhale, Giorgio C. Bergman
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Federated Mamba Learning for Privacy-Preserving Collaborative Medical Image Analysis

Silver Parker, Anders Simmons
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Reinforcement Learning-Based Post-Training for Robust End-to-End Autonomous Driving Under Dynamic Traffic Conditions

Tage Haraldsson, Sorcha Haran
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Intelligent Microstructure–Property Modeling of Perovskite Oxide Dielectrics for Miniaturized Electronic Devices

Raj Hegde, Yash A. Joshi, Zhengling Yin, Tobias Rarker
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GPU Kernel Optimization for Scalable Graph Neural Network Training

Lazzaro Duodo, Ovidio Escamilla, Flavia Vigorelli
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Machine Learning-Based Traffic Prediction for Frequency-Referenced Optical Multiplexing

Kalpit R. Bahri, Thijmen Giselmeyer
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Mamba-Based Multimodal Fusion for Robust Medical Image Segmentation and Lesion Delineation

Casper Rhodes, Brooks Vega
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Scale-Aware Diffusion Conditioning for Consistent Multi-Style Image Generation Across Diverse Visual Domains

Erkan Spiess
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Knowledge Graph and Large Language Model Fusion for Personalized Biomedical Literature Discovery

Ole Sanders, Brent Marshall, Sawyer Barnett
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Hardware-Aware Graph Neural Network Optimization for Scalable Integrated Circuit Design and Verification

Cathleen Heidrich
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Hardware-Efficient Optical Communication Architectures for AI Data Center Networks

Chloe A. Clay, Vivianne Soderlund, Gitte Mulichen
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Memory-Efficient GPU Acceleration for Recommendation Systems with Large-Scale Top-K Retrieval

Ana Luisa Gaitan, Germana Bernetti
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Uncertainty-Aware Diffusion Models for Multimodal Medical Image Segmentation and Cross-Modal Feature Alignment

Eimer MacBride
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Multi-Turn Intent Modeling for Financial Question Answering with Large Language Models

Quentin Barnett
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Optical Network Resource Management for Large-Scale AI Training Clusters

Macaria Iniguez, Sigmar Schweitzer
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Multilingual Singing Recognition and Music Semantic Understanding for Cross-Cultural Music Analysis

Bohit Gaman, Deepak Ahuja
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Hierarchical Document Retrieval for Efficient Question Answering with Large Language Models

Roza Armata, Marcio Vives, Oonagh Nolty
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Memory-Augmented Multimodal Agents for Personalized Human-Computer Interaction

Erhardt Mende, Lieve Kathagen
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Physics-Informed Deep Learning for Automated Defect Localization and Material Characterization in Ultrasonic Non-Destructive Testing

Otis James, Diya C. Thakur, Otis M. Hawkins, Leif J. Warner
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Observer-Based Robust Model Predictive Control for Safe Trajectory Tracking of Autonomous Vehicles Under Dynamic Constraints

Pierre A. Ortega, Niklas Ramos, Zachary D. Diaz
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Quantization-Aware Acceleration of Graph Neural Networks on GPUs

Jussi Hannula, Veit Hertrampf
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Preference-Aware Neural Reranking with Collaborative Large Language Model Agents

Teuvo Nuutinen, Kamil Junk
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Online Learning for Continuous Adaptation in Financial Risk Management

Ekaja Bir, Mustafa Bohnbach, Pellegrino Luzi
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Secure and Reliable Optical Networking with Intelligent Frequency-Domain Resource Allocation

Frankie Neilson
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Privacy-Preserving Personalized Recommendation with Federated Learning for Cross-Domain User Modeling

Anton Richards, Shane Morales, Sanjay A. Bether, Clifford A. Jimenez
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Queueing-Aware Latency Prediction for Scalable Large Language Model Applications

Gianfranco Interiano
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Privacy-Preserving Voice Interaction and Federated Learning for Intelligent Home IoT Systems

Umash Varmo, Andres Heirrora
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Real-Time Physiological Monitoring for Exercise Intensity Assessment Using Wearable Sensors

Chetan D. Patel
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Temporal Retrieval-Augmented Generation for Reasoning over Dynamic Knowledge Bases

Renzo Pavanello, Fryderyk Chochol
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Vision-Language Alignment Optimization for Reliable Multimodal Reasoning

Kiki Bezemer, Nayeli Cintron, Goffredo Pasqua
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Self-Supervised Singing Representation Learning for Low-Resource Music Information Retrieval

Yoss Martin, Leiliang Tan
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Reinforcement Learning for Adaptive Recommendation of Bioactive Peptide Combinations in Healthy Aging

Peter-Michael Rorricht, Gilda Jantsch, Qasim Keer, Benny Jakobsson
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Semantic User Modeling for Personalized News Recommendation and Information Filtering

Christephor H. Blerk
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Reinforcement Learning for Temporal Reasoning and Sequential Decision-Making in Language Models

Ermenegildo Farinelli, Susannah Harkins, Manan Naidu
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Uncertainty-Aware Large Language Models for Adaptive Brain-Computer Interface Decoding

Harish Saxena
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Reward Shaping for Structured Planning and Decision-Making in Large Language Models

Blazej Gaudyn, Keely A. Sheane, Bekir Geisler
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Vision-Language Assisted Data Curation for Next-Generation Trajectory Prediction Systems

Mugdha Chhabra, Keelan Mulvey, Dario Antonioni, Jeffery C. Zamora
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Vision-Language World Models for Risk-Aware Decision Making in Autonomous Driving

Aarav Yadav, Matteo R. Lindgren, Lars Murray, Edwin M. Peters
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