Machine Learning Aided Reliability Analysis for Spatially Varying Slopes in 2D and 3D

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

Diverse Explorations of Rainfall Nowcasting with TrajGRU: Mitigating Smoothness and Fading Out Challenges for Longer Lead Times

End-to-End Chess Recognition

Microtubule Detection and Instance Segmentation using Deep Convolutional Neural Networks

Can fourier neural operators replicate the intrinsic predictability of spatiotemporal chaos?: for the Kuramoto-Sivashinsky system

Neural network partitioning for resource-limited environments

Football activity recognition: Improving and testing football activity recognition based on signal data using deep learning.

Generalizing rapid flood predictions to unseen urban catchments with conditional generative adversarial networks

Identification of Neolithic Circular Enclosures through Aerial Imagery

Deep Vision-based Relative Localisation by Monocular Drones

Graph Neural Networks for Intelligent Transportation Systems: A Survey