Quantum-Accelerated Dictionary Learning Based on HHL and QSVT for Seismic Data Denoising

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Evaluating the Effectiveness of Q-Learning in Ant Colony Optimization for the Traveling Salesman Problem

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Predictive Human Trajectory Classification in Industrial Settings With Transfer Learning and Data Augmentation

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Multi-agent reinforcement learning with layered autonomy and collaboration for enhanced collaborative confrontation

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Multi-modal few-shot learning for anthesis prediction of individual wheat plants

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An interpretable deep learning framework for predictive modeling of postoperative infections in ICU patients

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Accelerating A* algorithm based search in time-dependent graphs with learned heuristics

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Multipath Detection in GNSS Using Differential Corrections and Machine Learning-Based Classification

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Speech Processing Using Dynamic Micro-Block Optimization Based on Deep Learning

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An Explainable Deep Learning Framework for Brain Tumor Detection Using MRI Images

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Sentiment-Aware Summary Generation for User Reviews Using Deep Learning Models

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Towards Automated Diagnosis of Heart Diseases: A Study of Machine Learning Techniques

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A Mobile-Integrated Deep Learning Framework for Early Detection of Maize Diseases

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A Systematic Approach for Heart Disease Analysis using Machine Learning Algorithms

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Multimodal Fusion Hybrid Attention Parallel Deep Learning for Avocado Ripeness Classification

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A Function-Level Fault Injection and Machine Learning Framework for Reliability Analysis

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Integrating Generative AI into Business Classrooms: Effects on Student Motivation and Learning Engagement

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Addressing Data Privacy Concerns in IoT Architecture with Federated Learning and TinyML

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Enhancing Introductory Cybersecurity Learning: A Design-Based Research Case Study

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Arizona’s Experiential Learning Opportunities: Regional Security Operations Centers and Cybersecurity Clinics

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