Results 71 to 80 of about 1,485 (240)

Joint minimization with alternating Bregman proximity operators

, 2006
A systematic study of the proximity properties of Bregman distances is carried out. This investigation leads to the introduction of a new type of proximity operator which complements the usual Bregman proximity operator. We establish key properties of these operators and utilize them to devise a new alternating procedure for solving a broad class of ...
Bauschke, Heinz, Combettes, Patrick, Noll, Dominikus   +2 more
openaire   +1 more source

Strategic Design of Soft Actuators in Translational Medical Robotics for Human‐Centered Healthcare

Advanced Robotics Research, EarlyView.
Soft robotics enables biocompatible, compliant medical devices, but clinical translation requires design‐driven engineering beyond materials. This perspective reviews implantable, surgical, and wearable systems by actuation mechanism, highlighting how optimized architectures and integration improve mechanical interfacing, adaptability, and durability ...
Ho Jun Jin, Jimin Kim, Inho Kim, Bong Hoon Kim   +3 more
wiley   +1 more source

Hyperspectral Image Completion Using Fully-Connected Extended Tensor Network Decomposition and Total Variation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The task of hyperspectral image completion generally involves random missing entries completion, stripes inpainting, and cloud removal, which can enhance the accuracy of subsequent image analysis.
Yao Li, Yujie Zhang, Hongwei Li
doaj   +1 more source

Recent Advances in Laser‐Induced Graphene‐Based Gas Sensors: From Sensing Mechanisms to Biomedical Applications

Advanced Science, EarlyView.
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas, Ankan Dutta, Shuvendu Das, Abu Musa Abdullah, Wanqing Zhang, Fatema Tuz Zohra, Huanyu Cheng   +6 more
wiley   +1 more source

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

Advanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale, Marie Celine Lefevre, Alessio Carmignani, Maria Cristina Ceccarelli, Matteo Battaglini, Attilio Marino, Gianni Ciofani   +6 more
wiley   +1 more source

Multiscale Fully Connected Tensor Network Decomposition With NSST Guidance for Thick Cloud Removal

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Thick cloud coverage presents a significant challenge for the analysis and application of multitemporal remote sensing imagery. Although existing cloud removal methods attempt to exploit spatio-spectral-temporal correlations, they often fail to ...
Ming-Qing Li, Yu-Qing Wang, Hui-Lan Lin, Meng-Yang Pan, Hang Yang, De-Hao Zhang   +5 more
doaj   +1 more source

Integrating Machine Learning With Constant‐Potential Simulation to Unravel Charge‐Transfer Mechanisms in Electrochemical Nitrogen Fixation

Advanced Science, EarlyView.
Integrating interpretable machine learning with the fixed‐potential method reveals a novel mechanism: the catalytic activity of the electrochemical nitrogen reduction reaction is governed by partial charge transfer, induced by variations in the intermediate potential of zero charge under constant potential.
Yufei Xue, Dushuo Feng, Yuefei Zhang, Yang Zhang, Yalong Jiao, Aijun Du, Guoping Gao   +6 more
wiley   +1 more source

Nonlocal and Nonconvex Robust Tensor Completion with Tensor Dictionary Learning for Multi-Dimensional Image Recovery

Mathematics
Robust tensor completion aims to recover a clean tensor from noisy and incomplete observations, where the observed tensor is corrupted by Gaussian noise and sparse noise simultaneously. Existing methods only exploit one or two priors out of global tensor
Hongyu Sun, Duo Qiu, Jiahui Zhao
doaj   +1 more source

Proximal Alternating Linearized Minimization Algorithm for Sparse Tensor Train Decomposition

Statistics, Optimization & Information Computing
 We address the sparse tensor train (TT) decomposition problem by incorporating an L1-norm regularization term. To improve numerical stability, orthogonality constraints are imposed on the problem. The tensor is expressed in the TT format, and the proximal alternating linearized minimization (PALM) algorithm is employed to solve the problem ...
Zhenlong Hu, Zhongming Chen
openaire   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source