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Interactive Intelligence: Multimodal AI for Real-Time Interaction Loop towards Attentive E-Reading
Enhancing real-time nonintrusive occupancy estimation in buildings via knowledge fusion network
Using sky-classification to improve the short-term prediction of irradiance with sky images and convolutional neural networks
Noncompact uniform universal approximation
Sub-seasonal soil moisture anomaly forecasting using combinations of deep learning, based on the reanalysis soil moisture records
Automated Map Generalization: Emerging Techniques and New Trends (Editorial)
Deep Hybrid Attention Framework for Road Crash Emergency Response Management
Training Convolutional Neural Networks with Confocal Scanning Acoustic Microscopy Imaging for Power QFN Package Delamination Classification
CAVE: Cerebral artery–vein segmentation in digital subtraction angiography
Self-Supervised Neuromorphic Perception for Autonomous Flying Robots
Generalizing rapid flood predictions to unseen urban catchments with conditional generative adversarial networks
Graph Neural Networks for Intelligent Transportation Systems: A Survey
Improving Lateral Resolution in 3-D Imaging With Micro-beamforming Through Adaptive Beamforming by Deep Learning
Non-destructive strength prediction of composite laminates utilizing deep learning and the stochastic finite element methods
Surrogate modelling of railway pantograph-catenary interaction using deep Long-Short-Term-Memory neural networks
A hybrid deep-learning-metaheuristic framework for bi-level network design problems
Reinforcement Learning for Intelligent Healthcare Systems: A Review of Challenges, Applications, and Open Research Issues
Barely visible impact damage detection in composite structures using deep learning networks with varying complexities
Using knowledge graphs and deep learning algorithms to enhance digital cultural heritage management
A Deep Reinforcement Learning Approach to Configuration Sampling Problem
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