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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A novel deep learning approach with feature injection technique for automated gait detection in parkinson’s disease using multi-modal data

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Multi-view subspace clustering via low-rank consensus projection matrix

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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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Large language models for clinical artificial intelligence in healthcare a systematic review

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An intelligent recognition method for irregular movements of sports players based on improved fish swarm algorithm

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Intelligent model for Alzheimer's disease imaging assessment based on federated learning

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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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The philosophy of ChatGPT

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Real-Time Dynamic Response Identification for Highway Structural Health Monitoring Data

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Relationship-based Access Control for Data Spaces

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D3A-TS: denoising-driven data augmentation in time series

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Comparative evaluation of large language models in generating clinical insights for HIV associated oral Kaposi sarcoma

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Hybrid stacking of Squeeze Net features and ML models for accurate Alzheimer’s diagnosis

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Bayesian causal forests with covariate balancing propensity score: a novel approach for heterogeneous treatment effects estimation

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Attention-enhanced BiLSTM for causal sentiment mining in noisy social-media streams

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Reinforcement learning for energy management in fuel cell hybrid electric vehicles: an up-to-date review with topology-centric insights

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