LapGraph-CutFS: A Deep Learning-Based Framework for Multi-Class Classification of Maize Leaf Pests, Diseases, and Healthy States

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Retraction: Enhancing IoT cybersecurity through lean-based hybrid feature selection and ensemble learning: A visual analytics approach to intrusion detection

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Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan

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THE ESTIMATION OF THE STATE OF CHARGE OF A LITHIUM-ION AND SUPERCAPACITOR HYBRID BATTERY MODEL BASED ON K-NEAREST NEIGHBOURS A MACHINE LEARNING APPROACH

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A 28 GHZ DUAL-POLARIZED HYBRID BEAMFORMING TRANSCEIVER WITH DEEP LEARNING-BASED BEAM MANAGEMENT FOR 5G-ADVANCED UAV COMMUNICATIONS

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Deep feature optimization using fusion of multiple self-supervised learning approaches and filter-based feature selection for lung cancer histopathology classification

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Intelligent analysis and recommendation of educational content in network engineering: a study on teaching effectiveness evaluation model based on knowledge reasoning and multimoda...

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Vehicle to Everything (V2X) and Edge Computing: A Secure Federated learning-based Lifecycle for UAV-Assisted Vehicle Network: A Survey

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Image partitioning with windowed and panoramic configuration for passive 360-degree camera in military unmanned ground vehicle: A machine learning-based detection framework

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Machine Learning-Based Estimation of Photovoltaic Solar Power Generation Under Heatwave Events in the Context of Climate Change in Santo André, São Paulo, Brazil

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Machine learning based model predictive control for grid connected enhanced switched capacitor cross‐connected switched multi‐level inverter (ESC3SMLI)

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Development and Real‐Time Validation of Deep Learning‐Based LSTM‐Tuned MPPT Control for a 5 kW Solar‐Powered EV Charging System

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Multi-step hourly electrical load forecasting for a single household: A hybrid deep learning approach based on CNN, BiGRU, and Attention Mechanism

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Evaluation of a Hybrid Case-Based Learning and Small-Group Teaching Model Using Artificial Intelligence–Assisted Case Generation: An Innovative Dental Education Study

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Bridging process-based hydrology and deep learning: exploring hybrid MIKE NAM–LSTM techniques for accurate streamflow prediction in a humid tropical river basin in India

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A Multi-Sensor Fusion System for Rail-Side Detection Using LiDAR, Inertial Measurement Unit, and GPS Data Based on Two-Stage Machine Learning Framework

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Machine learning model based analysis of land use land cover change and assessing its potential impact on surface runoff in meki watershed, rift valley lakes basin, Ethiopia

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