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Aligning large language models and geometric deep models for protein representation
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Predicting Diabetes Mellitus with Machine Learning Techniques
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Deep CNN and Deep GAN in Computational Visual Perception-Driven Image Analysis
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Novel Wavelet Convolutional Neural Networks for Signal Detection in OFDM-IM Systems
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Sensor Switching-Based Automatic Misalignment Detection and Correction System for Wireless Power Transfer
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Energy-Efficient UAV Relaying Robust Resource Allocation in Uncertain Adversarial Networks
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Securing the road ahead: Machine learning-driven DDoS attack detection in VANET cloud environments
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Electromagnetic Nanocommunication Networks: Principles, Applications, and Challenges
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