Enhancing credit risk prediction via voting classifier and meta-dynamic ensemble selection on imbalanced data

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A hybrid CNN-LSTM model for accurate fruit freshness classification using deep learning

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HyOPTEnsemble: custom-weighted soft voting hyperparameter optimization ensemble model, explainable-AI for predicting mental state among university students

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An optimized hybrid deep learning model with SHapley Additive exPlanations for pulmonary fibrosis nodule segmentation and severity assessment

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Hybrid cryptographic and AI frameworks for cheat detection in online games

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Application research and analysis of virtual reality technology in educational management training

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Design of a personalized recommendation system for ideological and political education using reinforcement learning

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Design of an english oral dialogue generation and interaction system assisted by machine learning

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A unified framework with U-Net + + and CNN-RNN-BiGRU architectures for automated weed detection in precision agriculture using AI

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A dynamic scheduling framework for co-working space resources optimized by multi-agent reinforcement learning

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Harnessing ancient Vedic mathematics with Karatsuba multiplication for efficient and secure face recognition in surveillance

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Capsule-enhanced RoBERTa for hierarchical sentiment analysis on social media texts

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Dynamic resource allocation decision-making mechanism for mental health education optimized by reinforcement learning

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Harnessing multimodal large language models to interpret ecological momentary assessment-generated caregiving photographs

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Api based automated plant disease analysis using transfer learning on pre-trained vision transformer model

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Scaling Neuro-symbolic Problem Solving: Solver-Free Learning of Constraints and Objectives

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An improved whale optimization algorithm for efficient task scheduling in the internet of vehicles

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In-station UAV path planning based on multi-agent reinforcement learning and dynamic environment modeling

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Research on a multimodal computer vision target detection algorithm based on a deep neural network

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Prediction of maize yield in Uganda using CNN-LSTM architecture on a multimodal climate and remote sensing dataset

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