Results 131 to 140 of about 27,097 (268)

Spatially Aware Acquisition‐Independent Deep Learning for IVIM MRI Parameter Estimation in Patients With Esophageal Cancer

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Neural controlled differential equations (NCDEs) recently emerged as a robust deep learning approach for quantitative MRI parameter estimation. NCDEs offer flexibility to changes in acquisition protocols by modeling the signal evolution dynamics. However, NCDE implementations operate on a voxel‐by‐voxel basis and cannot exploit spatial
Daan Kuppens, Roman S. Oort, Sebastiano Barbieri, Stella Mook, Gert J. Meijer, Oliver J. Gurney‐Champion   +5 more
wiley   +1 more source

A Physics‐Informed Koopman Operator Framework for Decentralized Discrete‐Time Sequential Control of a Modular Aerial Parcel Delivery Robot

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT This paper presents a Physics‐Informed Koopman Operator (PIKO) framework integrated with a discrete‐time Sequential Action Control (SAC) for real‐time, decentralized control of a modular aerial parcel delivery robot composed of multiple independently actuated propeller modules.
Archit Krishna Kamath, Peng Shi, Ramesh K. Agarwal   +2 more
wiley   +1 more source

Bio-inspired backpropagation-free training for optical neural networks. [PDF]

Light Sci Appl
Li T, Dong Y, Tu K, Zhang Y, Li S, Duan Y, Sun P, Gu M, Wang J.   +8 more
europepmc   +1 more source

Information‐Theoretic Framework for Allosteric Communication Pathway Prediction From Protein Structure

Proteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT Allosteric communication is fundamental to the function of proteins, but identifying the residue‐level pathways through which signals travel and their directionality is still a major challenge. Here we present a multi‐metric information‐theoretic framework that identifies candidate allosteric communication pathways from a single protein ...
Aysima Hacisuleyman, Dirk Fasshauer
wiley   +1 more source

Weibull Variational Autoencoder for Remaining Useful Life Prediction

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Remaining useful life (RUL) prediction is a critical technology for preventing unexpected failures and reducing maintenance costs in modern industrial systems. However, traditional model‐based approaches are limited by the need for explicit mathematical modeling of degradation mechanisms, while data‐driven methods often require large‐scale ...
JunWoo Yu, Yoojin Jang, Kwanghui Shin, Jinsoo Jeong, Yong Soo Kim   +4 more
wiley   +1 more source

Diffusion of neuromodulators for temporal credit assignment. [PDF]

Proc Natl Acad Sci U S A
Barretto-Bittar J, Levina A, Giannakakis E, Zeraati R.   +3 more
europepmc   +1 more source

Sliding Mode Control and Observation for Upper Limb Robotics Rehabilitation

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Stroke is a leading cause of upper limb motor impairments, which often require rehabilitation. General purpose robotic manipulators enable effective therapy through exercises such as Center Out Point‐to‐Point (CO‐PTP) and Teach‐and‐Track (TT), which respectively demand accurate estimation and rejection of the interaction force exerted by the ...
Antonella Ferrara, Chiara Alessi, Nikolas Sacchi   +2 more
wiley   +1 more source

Gap junction innexin asymmetry in C. elegans suggests a diode blocking mechanism to prevent antidromic backpropagation from motor neurons to command interneurons. [PDF]

MicroPubl Biol
White J.
europepmc   +1 more source

Detecting Plateau Zokor (Eospalax baileyi) Mounds in UAV Imagery of Alpine Meadows Using Deep Learning Algorithms

Remote Sensing in Ecology and Conservation, EarlyView.
We developed PZM‐YOLO to automatically detect plateau zokor mounds in UAV imagery of alpine meadows. The model achieved reliable detection of small and densely distributed mounds under complex backgrounds, outperforming the baseline YOLOv5s. This framework supports mound counting, mound position, rodent impact assessment, and grassland restoration ...
Yang Yang, Limin Hua, Lianguo Wang, Jiazhen Li, Rui Dong, Siwei Yang   +5 more
wiley   +1 more source

Hierarchical learning creates invariant schema within plastic neural networks. [PDF]

J Comput Neurosci
Elder JR, Zheng J, Shimelis LB, Rutishauser U, Lin MM.   +4 more
europepmc   +1 more source