Results 241 to 250 of about 54,945 (291)

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

Decoding the Oxylipin Chemical Space Using Ion Identity Molecular Networking. [PDF]

Anal Chem
Camunas-Alberca SM, Bartolini F, Cermakova H, Sánchez-Illana Á, Perez-Guaita D, Cañadas-Miquel P, Gil-de-la-Fuente A, Galano JM, Durand T, Gradillas A, Barbas C.   +10 more
europepmc   +1 more source

From Shear to Sound: Mechanics–Acoustics Mapping of TPMS Lattices

Advanced Engineering Materials, EarlyView.
Triply periodic minimal surface (TPMS) lattices are mapped across mechanical and acoustic performance, revealing that descriptors validated in compression fail under shear. First‐time comparison with trusses included. A transition from porous to resonance‐driven absorption emerges at 25% density.
Lucía Doyle, María Ángeles Navacerrada, Johan Christensen, Carlos González   +3 more
wiley   +1 more source

Advancing abdominal surgery recovery implementation: a unified framework for intensified recovery protocols by the EUropean PErioperative MEdical Networking collaborative. [PDF]

Front Surg
Ioannidis O, Bourtzinakou AA, Ramirez JM, Fabbri N, Ubieto JM, Feo CV, Pesce A, Rosetzka K, Arroyo A, Kocián P, Sánchez-Guillén L, Bellosta AP, Whitley A, Enguita AB, Teresa-Fernandéz M, Bitsianis S, Symeonidis S, Anestiadou E.   +17 more
europepmc   +1 more source

Designing Polymer Nanocomposites for X‐Ray Shielding: Mechanisms, Architectures, and Scalable Processing

Advanced Engineering Materials, EarlyView.
This review highlights advances in lightweight, lead‐free polymer nanocomposites for diagnostic X‐ray shielding. By linking filler chemistry, dispersion, architecture, and photon interaction mechanisms, it establishes structure–performance relationships guiding material design.
Aklilu G. Messele, Hossein Ipakchi, Tizazu H. Mekonnen   +2 more
wiley   +1 more source

Editorial to the Special Issue "Recent Advances in Optical Wireless Communications". [PDF]

Sensors (Basel)
Genoves Guzman B, Morales Céspedes 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

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

Towards software defined cognitive networking

2015 7th International Conference on New Technologies, Mobility and Security (NTMS), 2015
Cognitive networking has the potential to enable autonomic network management by empowering the network components to automatically adjust to the changing network environment. However, strict isolation between the layers of the currently used communication model and static nature of networking equipment have delimited the deployment of cognitive ...
Ahmad, I., Namal, Suneth, Ylianttila, Mika, Gurtov, Andrei   +4 more
openaire   +5 more sources

Software-Defined Networking [PDF]

, 2020
The connection of billions of devices to the internet poses numerous challenges to the networking infrastructure. The traditional networking paradigm is anticipated to be unable to cope with a scenario of myriad heterogenous devices connected through both wireless and wired links.
Santhosh Karipur, Jithesh Tj
openaire   +2 more sources