Results 121 to 130 of about 3,447,572 (320)
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Artificial intelligence algorithms for automated archaeological site detection have been scarcely applied in the Andean highlands, regions that preserve a significant amount of surface archaeological architecture but have not yet been fully explored or ...
Maria Elena Castiello +2 more
doaj +1 more source
Colloidal Crack Sintering Lithography for Light‐Induced Patterning of Particle Assemblies
Colloidal crack sintering lithography (CCSL) is a microfabrication technique that uses light‐induced photothermal heating to trigger sintering and controlled cracking in polymer colloidal assemblies. Local structural changes generate microchannels and patterns, enabling direct writing of diverse topographic motifs.
Marius Schoettle +2 more
wiley +1 more source
THE ROLE OF DATA ARCHITECTURE AS A PART OF ENTERPRISE ARCHITECTURE [PDF]
In the early days of computing, technology simply automated manual processes with greater efficiency. The new organizational context provides input into the data architecture and is the primary tool for the management and sharing of enterprise data.
Assoc. Prof. Anca Mehedintu Ph. D +2 more
core
A new class of living liquid metal composites is introduced, embedding Bacillus subtilis endospores into eutectic gallium–indium (EGaIn). The spores enhance droplet coalescence, strengthen interfacial conductivity, and provide on‐demand electrogenic functionality after germination. The composites exhibit high conductivity, self‐healing, patternability,
Maryam Rezaie, Yang Gao, Seokheun Choi
wiley +1 more source
In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken +6 more
wiley +1 more source
This work reports the first gram‐scale solvothermal synthesis of ‘Rubik's cube’ nanoparticles—cubic, dendritic multicore structures with tuneable sizes and exceptional magnetic heating performance. Featuring iron oxide single‐domain character, with low coercivity fields, high magnetization, and strong MPI signals, they enable viscosity‐independent ...
Giusy M. R. Rizzo +12 more
wiley +1 more source
Objectives: This study aims to develop and validate an advanced hybrid deep learning architecture for accurate automated diagnosis of multiple ocular diseases using fundus imaging.Methods/Analysis: This study introduces HybridVisionNet, a cutting-edge ...
Şafak Kılıç
doaj +1 more source
Feature detection in satellite images using neural network technology [PDF]
A feasibility study of automated classification of satellite images is described. Satellite images were characterized by the textures they contain. In particular, the detection of cloud textures was investigated.
Augusteijn, Marijke F. +1 more
core +1 more source
Deep Space Network information system architecture study [PDF]
The purpose of this article is to describe an architecture for the Deep Space Network (DSN) information system in the years 2000-2010 and to provide guidelines for its evolution during the 1990s.
Atkinson, D. J. +9 more
core +1 more source

