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

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

Automated actual evapotranspiration estimation: Hybrid model of a novel attention based U-Net and metaheuristic optimization algorithms

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