Results 211 to 220 of about 389,766 (311)
An interactive haptic system combining a robotic hand with a wearable tactile feedback device is presented. Driven by vision recognition, the robotic hand captures force and temperature data using multiple sensors and transmits the feedback to the user via hydraulic actuation.
Jingu Jeong+3 more
wiley +1 more source
Context Threading: A Flexible and Efficient Dispatch Technique for Virtual Machine Interpreters [PDF]
Marc Berndl+3 more
openalex +1 more source
The Buckled, Ultrasoft, Crack‐based, Large strain, EpiDermal (BUCKLED) sensor is a flexible, ultrasensitive wearable strain sensor designed to precisely measure subtle skin deformations. By utilizing a buckled structure to enhance compliance integrating crack‐based sensing mechanisms, it improves accuracy in applications like respiratory monitoring ...
Jingoo Lee+9 more
wiley +1 more source
Machine Learning‐Assisted Simulations and Predictions for Battery Interfaces
This review summarizes machine learning (ML)‐assisted simulations and predictions at battery interfaces. It highlights how employing ML algorithms with machine vision, enables the lithium dendrite growth simulation, the solid–electrolyte interphase formation, and other interfacial dynamics.
Zhaojun Sun+4 more
wiley +1 more source
How java programs interact with virtual machines at the microarchitectural level
Lieven Eeckhout+2 more
openalex +2 more sources
This study develops a deep learning‐based pipeline named π‐PhenoDrug for cell phenotype‐driven drug activity screening. π‐PhenoDrug integrates cell segmentation, morphological profile construction, and phenotype analysis modules, and it can assess drug effects on living cells in both supervised and unsupervised modes.
Xiao Li+7 more
wiley +1 more source
Virtual machine monitors: current technology and future trends [PDF]
Mendel Rosenblum, Tal Garfinkel
openalex +1 more source
Phenobot: An Autodigital Modeling System for in situ Phenotyping in Horticulture
This study introduces a robotic phenotyping system for precision agriculture, integrating environmental understanding, motion planning, and in situ plant phenotyping. The system autonomously navigates through real‐world agricultural environments, collects high‐quality plant data, and reconstructs accurate 3D plant models. Results demonstrate the system'
Kewei Hu+5 more
wiley +1 more source
Rapid traversal of vast chemical space using machine learning-guided docking screens. [PDF]
Luttens A+10 more
europepmc +1 more source