A MACHINE LEARNING APPROACH BASED ON THE HERFINDAHL-HIRSCHMAN INDEX FOR DETERMINING THE ENERGY SUPPLY SECURITY LEVELS OF COUNTRIES

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Deep Learning Epileptic Seizure Detection based on the Matching Pursuit Algorithm and its Time–Frequency Graphical Representation

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A UAV‐based deep learning pipeline for intertidal macrobenthos monitoring: Behavioral and age classification in Tachypleus tridentatus

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Construction of intelligent PE classroom and innovation of teaching mode in colleges and universities based on machine learning and Internet of Things

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Research on cooperative optimization method of source-grid-load-storage based on over-relaxation double Q-learning

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Leveraging Innovative Hybrid Machine Learning Models to Predict Drought and Optimize Water Resources Based on Climate Change

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Development of a Machine Learning-Based Framework for Real-Time Detection and Mitigation of Distributed Denial of Service Attacks

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Sign detection and comparison for wireless sensor data based on subtractive homomorphism and privacy-preserving deep learning model

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Deep learning based multi-model ensemble approach for flood forecasting over flood prone rivers of India

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Interpretable Machine Learning‐Based Intelligent High‐Frequency Static Security Adjustment Method for Power System Operations

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Cluster‐Size–Based Quantification of Nanoparticle Dispersion in Epoxy Nanocomposites Using TEM Analysis and Machine‐Learning Regressions

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Design and Development of A Sorting System for Ripeness and Damage in Avocado (Persea Americana Mill.) Based on Machine Learning

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Developing critical thinking and professional skills in animal science students through case-based learning and cognitive interventions

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Project-Based Learning Management Combined with Peer Coaching to Enhance the Innovative Thinking Skills of English Major Students

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MeteoSaver v1.0: a machine-learning based software for the transcription of historical weather data

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Real‐Time, Label‐Free Classification of Cell Death Pathways via Holotomography‐Based Deep Learning Framework

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Research on Adaptive Irrigation Decision‐Making Method for the Entire Growth Cycle of Water Spinach Based on Reinforcement Learning

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Deep learning and computer vision for image‐based high‐throughput phenotyping of canning quality traits in dry beans

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An Adaptive Swarm Clustering Algorithm for Game AI Based on Reinforcement Learning Godot and Particle Swarm Optimization (RLGPSO)

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Development of machine learning models for predicting early pregnancy outcomes based on β-hCG, progesterone, and estradiol

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