Results 161 to 170 of about 4,886,192 (241)

Feature-Level Fusion of Surface Electromyography and Mechanomyography Signals for MVC-Normalized Shoulder Abduction Force-Level Classification in Healthy Adults. [PDF]

Sensors (Basel)
Zhou C, Gao Y, Gou X, Yao J, Wu Q, Cao D, He X, Yi J.   +7 more
europepmc   +1 more source

Ecoefficiency Analysis and Regression in Data Conversion for Spiking Neural Network Training

Advanced Intelligent Systems, EarlyView.
The environmental footprint of spiking neural networks is quantified during dataset encoding and training for autonomous driving regression across three benchmarks. Temporal depth emerges as the dominant driver of energy consumption and CO2 emissions, while the accuracy–energy trade‐off proves dataset‐dependent. On conventional hardware, spiking models
Fernando S. Martínez, Raúl Parada, Jordi Casas‐Roma, Laia Subirats   +3 more
wiley   +1 more source

What is the meaning of a complication? Toward causal understanding in ARDS. [PDF]

Crit Care
Pensier J, Renard Triché L, Jabaudon M.
europepmc   +1 more source

Behaviorally Adaptive and Inclusive Advanced Driver‐Assistance Systems

Advanced Intelligent Systems, EarlyView.
Advanced driver‐assistance systems (ADASs) are mapped as evolving human‐centered, adaptive technologies linking sensing, driver monitoring, AR/HUD interfaces, patents, regulation, and inclusive design. The review identifies gaps in real‐world evidence, diverse‐driver validation, gaze metrics, and governance, outlining a roadmap for safer, behaviorally ...
Jana Skirnewskaja, Mardavij Roozbehani, Munther A. Dahleh   +2 more
wiley   +1 more source

Disease registries as foundational infrastructure for Contract Research Organisations in Africa. [PDF]

J Clin Transl Sci
Ampofo BK, Sarfo FS.
europepmc   +1 more source

Benchmarking Data‐Driven Control of Octopus‐Inspired Soft Arms in Underwater Environment

Advanced Intelligent Systems, EarlyView.
Underwater soft robots present safe, compliant interaction, yet reproducible control remains scarce. This work presents an open benchmark for octopus‐inspired arms: a smooth, velocity‐diverse data‐collection scheme produces a compact dataset to train a vanilla policy.
Muhammad Sunny Nazeer, Yasmin Tauqeer Ansari, Emanuele Solfiti, Baljinder Singh Bal, Matteo Lo Preti, Barbara Mazzolai, Cecilia Laschi   +6 more
wiley   +1 more source

Artificially Intelligent Simulated Patients in Undergraduate Surgical Teaching: A Single Blinded Randomized Controlled Study. [PDF]

Clin Teach
Baraza W, Staples G, Wells C, Barbier L, Tonga I, Singh P, Puttick M, Webster C.   +7 more
europepmc   +1 more source

Multirobot Aerial Soft Manipulator for Floating Litter Collection

Advanced Intelligent Systems, EarlyView.
A multirobot aerial manipulator enables autonomous floating litter collection by controlling the shape of a flexible rope equipped with a hook‐based tool. Adaptive rope‐shape planning enhances grasping performance while reducing tension, demonstrating the potential of aerial robots for floating litter removal. Removing floating litter from water bodies
Antonio González‐Morgado, Sander Smits, Guillermo Heredia, Anibal Ollero, Alexandre Krupa, François Chaumette, Fabien Spindler, Antonio Franchi, Chiara Gabellieri   +8 more
wiley   +1 more source

Lyophilised faecal microbiota transplantation capsules for intestinal multidrug-resistant organism decolonisation: protocol for a randomised, double-blind, placebo-controlled trial. [PDF]

BMJ Open
Rubinić I, Palčevski D, Rosović T, Antonić M, Skočibušić N, Cepanec I, Knežević Z, Šantić M, Hauser G, Vlahović-Palčevski V.   +9 more
europepmc   +1 more source

Lab‐Scale Fabrication Process Selection for Soft Robotics: Benchmarking, Tradeoffs, and Guidelines for Formative Manufacturing of Soft Silicone Components

Advanced Intelligent Systems, EarlyView.
Fabrication shapes soft robot performance, but benchmarking data and selection guidelines remain scarce. We fabricate silicone actuators using two molding techniques and three mold types, characterizing them with cycle testing, microscopy, profilometry, and 3D imaging. Applying our lab‐scale, soft robotics‐specific fabrication evaluation criteria shows
Charlotte M. Folinus, Daniel Massimino, Cat Arase, Kaitlyn P. Becker   +3 more
wiley   +1 more source