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Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning

Multi-modal Semantic SLAM for Complex Dynamic Environments

Personalised Federated Learning: A Combinational Approach

Digital Twin Modelling Concept for All-electric Ship

Conditional Gaussian Distribution Learning for Open Set Recognition

Performance Optimization of Federated Person Re-identification via Benchmark Analysis

UAV Precision Landing in Uncontrolled Environment

A New Lightweight In-situ Adversarial Sample Detector for Edge Deep Neural Network

High Entropy Neural Networks for Reinforcement Learning

Image Recognition of Fauna Species in Singapore

Autonomous Driving Vehicle

Application of deep learning for massive MIMO Communication system (URECA)

Exploring Generative Classifiers for Adversarial Robustness

Deep-learning based approach for orthogonal frequency-division multiplexing (OFDM) system