Results 201 to 210 of about 57,525 (352)

A Robotic Hand with Soft Transmission Systems for Automated Operations of Computer Mouse

Advanced Intelligent Systems, EarlyView.
This article introduces a soft robotic hand designed to automate computer mouse operations. Inspired by the water vascular system, the bellows‐enclosed soft transmission system is proposed. This system can handle typical office and gaming tasks using vision and speech commands, holding the potential for applications in office scenes and gaming hardware
Yiming He, Dengfeng Yan, Kaiyuan Jin, Bin Fang, Shuguang Li   +4 more
wiley   +1 more source

Treatment tactic of canine cranial cruciate ligament rupture management: A 28-day comparative analysis of ACP and NSAID induced effects on the serum MMP-3 levels and clinical outcomes. [PDF]

Vet Med (Praha)
Raulinaite K, Zelvyte R, Skemiene K, Monkeviciene I.   +3 more
europepmc   +1 more source

Lungeing on hard and soft surfaces: Movement symmetry of trotting horses considered sound by their owners [PDF]

, 2016
Baxter, Brocklehurst, Buchner, Chateau, Clayton, Egenvall, Farmer, Geffré, Hammarberg, Heglund, Hobbs, Kaneene, Keegan, Keegan, Kramer, Licka, Maliye, Marshall, May, McCracken, Merkens, Parkes, Pfau, Pfau, Pfau, Rhodin, Robartes, Starke, Starke, Starke, Symes, Turner, Uhlir, Warner   +33 more
core   +1 more source

Réalisation d'un appareillage a lame vibrante pour l'étude des lignes de flux dans les supraconducteurs à haute température critique

, 1994
J. Woirgard, Éric Salmon, R.J. Gaboriaud, J. Rabier   +3 more
openalex   +2 more sources

Changes in kinematic variables observed during pressure-induced forelimb lameness in adult horses trotting on a treadmill [PDF]

, 2000
Kevin G. Keegan, David A. Wilson, Bryan Smith, Daniel J. Wilson   +3 more
openalex   +1 more source

Applied Artificial Intelligence in Materials Science and Material Design

Advanced Intelligent Systems, EarlyView.
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel, Martin Børstad Eriksen, Alejandro Castro‐Alvarez, Jose H. Garcia, Marc Botifoll, Oscar Avalos‐Ovando, Jordi Arbiol, Aitor Mugarza   +7 more
wiley   +1 more source

Thoracolumbar movement in sound horses trotting in straight lines in hand and on the lunge and the relationship with hind limb symmetry or asymmetry [PDF]

, 2017
Abrams, Audigié, Back, Back, Bell, Buchner, Buchner, Bystrom, Clayton, Clayton, Dyson, Dyson, Dyson, Faber, Faber, Faber, Faber, Girodroux, Greve, Greve, Greve, Greve, Gómez Álvarez, Gómez Álvarez, Halling Thomsen, Heim, Hildebrand, Hobbs, Jeffcott, Johnson, Keegan, Keegan, Kramer, L. Greve, Landman, Licka, Licka, May, McGreevy, McGreevy, Peham, Pfau, Pfau, Pfau, Pfau, Rhodin, Rhodin, S. Dyson, Sisson, Starke, Starke, T. Pfau, Townsend, Uhlir, van Heel, van Heel, van Weeren, Warner, Wennerstrand, Wennerstrand, Zimmerman   +60 more
core   +2 more sources

Radiographic examination of the fetlock in sound and lame horses

, 1992
Matthias Stöckli, G Ueltschi
openalex   +2 more sources

Detecting Lameness in Livestock using Resampling Condensationand Multi-stream Cyclic Hidden Markov Models [PDF]

, 2000
Derek Magee, R Boyle
openalex   +1 more source

Model‐Free Deep Reinforcement Learning with Multiple Line‐of‐Sight Guidance Laws for Autonomous Underwater Vehicles Full‐Attitude and Velocity Control

Advanced Intelligent Systems, EarlyView.
In this study, a deep reinforcement learning framework with multi‐line‐of‐sight guidance is proposed. An augmented‐twin delayed deep deterministic policy gradient algorithm adapts to attitude changes efficiently, reducing computational costs. Simulations show 30.8% faster training and mitigates rudder/exergy issues, validated by an X‐rudder autonomous ...
Chengren Yuan, Changgeng Shuai, Zhanshuo Zhang, Jianguo Ma, Yuan Fang, YuChen Sun   +5 more
wiley   +1 more source