IEEE transactions on pattern analysis and machine intelligence
Apr 7, 2026
Feature point detection on textureless surfaces remains a fundamental challenge in computer vision due to the absence of discernible color and brightness gradients. From the imaging mechanism perspective, micro-geometry structures of textureless surf... read more
IEEE transactions on neural networks and learning systems
Apr 7, 2026
Weather radar reflectivity images play a critical role in reliable weather monitoring and forecasting. However, inherent factors such as ground clutter, sea clutter, and electromagnetic interference frequently introduce nonprecipitation echoes (NPEs)... read more
IEEE transactions on neural networks and learning systems
Apr 7, 2026
Unmanned aerial vehicles (UAVs) play a vital role in scenarios such as community safety patrol and disaster search-and-rescue operations due to their maneuverability and deployment flexibility. However, their limited payload capacity, energy constrai... read more
IEEE transactions on neural networks and learning systems
Apr 7, 2026
The article investigates the vibration suppression and bipartite consensus control of networked flexible manipulators with input-output constraints. Neural networks (NNs) are utilized to address system uncertainties. The disturbance-like terms genera... read more
Intraoperative transesophageal echocardiography (TEE) has become a central component of modern cardiac surgery by providing real-time, high-resolution assessment of cardiac anatomy and physiology throughout the perioperative period. Beyond its tradit... read more
This letter introduces a novel algorithm for training deep neural networks with many nonlinear layers. Our method uses an approximated integrated gradient that is averaged over the range of the weight update to more accurately capture the loss change... read more
Journal of chemical theory and computation
Apr 7, 2026
Identifying and understanding cryptic pockets remains a compelling goal in drug discovery, as they can offer new avenues for targeting proteins that are otherwise challenging to modulate. While artificial intelligence (AI) methods for structure predi... read more
BACKGROUND: Parent management training (PMT) is an evidence-based intervention for children with disruptive behavior problems. However, access to care is often limited by cost, availability of clinicians, scheduling, and transportation barriers. Inte... read more
BACKGROUND: Autism spectrum disorder (ASD) is often underdiagnosed in low- and middle-income countries due to limited specialist access, sociocultural stigma, and fragmented screening systems. Artificial intelligence (AI)-powered screening tools may ... read more
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