Results 141 to 150 of about 1,549,240 (256)

FEWT: Frequency‐Enhanced Wavelet‐Based Transformer for Multimodal Wheeled Bimanual Manipulation

SmartBot, EarlyView.
An embodied mobile bimanual robot learns dexterous manipulation skills through imitation learning with multimodal perception. The integration of vision, proprioception, and tactile sensing establishes a comprehensive perception–action loop, enabling the robot to continuously understand, interact with, and adapt to complex physical environments.
Jiaxin Huang, Hanyu Liu, Yunsheng Ma, Jian Shen, Yilin Zheng, Jiayi Wen, Zhigong Song   +6 more
wiley   +1 more source

Photo‐Activated Merging Cascades in Droplet Swarms Upon Synergistic Solvation of Surfactants

Small, EarlyView.
UV activates the motility of UV‐responsive droplets through a decylammonium/carbamate crystalline layer at the air/water interface. Upon merging with immobilized C12E3 surfactant droplets in the layer, hybrid droplets form which dissolve the layer due to synergistic solvation. In large droplet fields, this non‐linear behavior drives cascading events of
Priyanshu Singh, Roël M. Vreuls, Gerco W. A. Meeussen, Peter A. Korevaar   +3 more
wiley   +1 more source

Practically Error‐Free Junctions Enable Solving Large Instances of Exact Cover Problems Using Network‐Based Biocomputation

Small, EarlyView.
Scaling nanofluidic channel geometries to sub‐200 nm is demonstrated to suppress junction guiding errors in network‐based biocomputing. The resulting increase in path fidelity enables experimental solution of Exact Cover instances with more than 33 million possible solutions, establishing a new benchmark for network‐based biocomputing. ABSTRACT Network‐
Eugene Christo V R, Christoph Robert Meinecke, Bert Nitzsche, Roman Lyttleton, Cordula Reuther, Danny Reuter, Heiner Linke, Till Korten, Stefan Diez   +8 more
wiley   +1 more source

Markerless On-Device Detection of Compensatory Movement Patterns in Upper-Limb Rehabilitation Exercises from Monocular RGB Video: A Validation Study in Healthy Adults. [PDF]

Sensors (Basel)
Pavlikov A, Petrosyan V, Agapov V, Gorodnichev M, Lobunko D, Skvortsov D.   +5 more
europepmc   +1 more source

Saint Mary's University Football 1990

, 1990
Vide

core  

A multifunctional near‐infrared dual‐channel off‐on‐off probe for sequential detection of fluoride and hypochlorous acid: Multimatrix applications

Smart Molecules, EarlyView.
This multifunctional, sequence‐specific probe (DHM) enables stepwise detection: fluoride triggers red/near‐infrared emission via cleavage, then hypochlorous acid induces blue fluorescence. It achieves fast, selective visual detection in environmental samples, foods, and in vivo models.
Tongtong Li, Xiaodong Zhang, Tong Yu, Dong Cai, Yabai Li, Shiyu Wu, Jingyi Gao, Yaqian Xu, Yihui Sun, Xuewei Pu, Fanjie Meng   +10 more
wiley   +1 more source

A Lightweight Temporal Convolutional Network for Contactless SPPB-Aligned Functional Fall-Risk Stratification in Older Adults Using Monocular RGB Video. [PDF]

Sensors (Basel)
Lin KC, Wai RJ, Chang Chien HY.
europepmc   +1 more source

Vision language models for bridge inspections: A review of applications in image‐based damage documentation

Structural Concrete, EarlyView.
Abstract Automating bridge inspections requires more than detecting individual damage instances. It demands systems capable of describing, contextualizing, and interpreting damage in an inspection‐relevant manner. Conventional computer vision approaches, such as object detection and segmentation, primarily address visual recognition tasks and are ...
Rona Firdes Çelik, Ulas Bagci, Sylvia Kessler   +2 more
wiley   +1 more source

Learn the interactions: Weakly supervised video anomaly detection with human-object interactions. [PDF]

PLoS One
Zhou M, Faizal Abdullah ERM, Sabri AQM, Rahardja S.   +3 more
europepmc   +1 more source

AML‐Net: Attention‐based multi‐scale lightweight model for brain tumour segmentation in internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam, Basit Raza, Muhammad Faheem, Aadil Raza   +3 more
wiley   +1 more source