Results 161 to 170 of about 76,054 (305)

PhenoRob-P: An autonomous robotic system for high-throughput phenotyping of potted plants. [PDF]

Plant Phenomics
Shao Y, He Y, Fang Y, Li Z, Zhai R, Yang W, Song P.   +6 more
europepmc   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

A Human-in-the-Loop Assistive Navigation Platform for UAS-Based Infrastructure Visual Inspection: System Architecture and Proof-of-Concept Demonstration. [PDF]

Sensors (Basel)
Xu M, Zhao Y, Wang Z, Alipour M.
europepmc   +1 more source

Experimental Characterization of Mycelium‐Based Composites Under Multiple Loading Conditions

Advanced Engineering Materials, EarlyView.
This study examines the mechanical response of mycelium‐based composites under compression, shear, and tension using mechanical testing and imaging methods. The comparison between unpressed and hot‐pressed specimens shows that hot pressing is associated with higher compression and shear stiffnesses.
Shaghayegh Elahi, Kimiya Tajik, Harvey Shaw, Matti Isakov, Sami Pajunen, Lauri Rautkari   +5 more
wiley   +1 more source

Accuracy of digital inclinometers for measuring knee extension during total knee arthroplasty: comparison with visual estimation and computer navigation. [PDF]

Arthroplasty
Pongkunakorn A, Iamsumang C, Sumethvanich S, Tahwang S, Udomluck P, Ruktrakul R.   +5 more
europepmc   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Electrophysiologically informed spiking neural networks for fish-inspired navigation with boundary vector cells and hydrostatic pressure cues. [PDF]

iScience
Cohen L, Duwek HC, Ezra Tsur E.
europepmc   +1 more source

DigiChrom: A Domain Ontology for Semantic Representation of Trivalent Chromium Platings and Its Large Language Model‐Based Alignment With Multiple Mid‐Level Ontologies

Advanced Engineering Materials, EarlyView.
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter, Elena Garcia Trelles, Christoph Schweizer, Thomas Seifert, Christoph Baumer, Mahmoud Elkady, Katja Feige, Daniel Grimme, Edgar Hoffmann, Andreas Waibel, Anke Walter   +10 more
wiley   +1 more source

Intraoperative Analysis of Collateral Ligament Elongation Patterns by Coronal Plane Alignment of the Knee Classification Using Augmented Reality Navigation in Japanese Osteoarthritic Knees. [PDF]

Arthroplast Today
Sato A, Mukunoki M, Ota M, Izukashi K, Okumo T, Koya T.   +5 more
europepmc   +1 more source

On the Global Navigation Satellite Systems and Relativity

, 2013
GNSS, or more precisely GNSS-2, is an abbreviation for Glob al Navigation Satellite Systems – Second generation, and serves as a generic name for the class of modern global sa tellite based radio navigation systems. GNSS-2 consists mainly of the four major Global Navigation Satellite Systems known as: GPS (U.S.), GLONASS (Russia), Galileo (EU) and Bei ...
Gjevestad, Jon Glenn, Grøn, Øyvind
openaire   +1 more source