Results 91 to 100 of about 33,619 (260)

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

open access: yesAdvanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier   +17 more
wiley   +1 more source

Architecture‐Driven Sensor Stability in Weft‐Knitted Engineering Textiles

open access: yesAdvanced Engineering Materials, EarlyView.
Textile‐integrated sensor architectures are systematically compared to evaluate their electromechanical behavior under combined mechanical and environmental loading. Pocket‐based integration exhibits stable and reproducible signals, whereas tunnel‐based routing shows higher sensitivity accompanied by increased variability.
Adnan Maroof Khan   +5 more
wiley   +1 more source

Assessing Capsule Networks with Biased Data [PDF]

open access: yes, 2019
15 pages, 4 figures, 2 tables, Capsule Networks, Evaluation, Biased ...
Bruno Ferrarini   +4 more
openaire   +3 more sources

Adaptive Foam 3D Printing of Ultralight and Multifunctional Materials

open access: yesAdvanced Engineering Materials, EarlyView.
Adaptive foam 3D printing, enabled by expandable microspheres, imparts cellular structures to thermoplastic and thermosetting polymers, manufactured through a variety of processes including fused filament fabrication, direct ink writing, digital light processing, and inkjet printing.
Nariman Rajabifar, Amir Ameli
wiley   +1 more source

Self‐Cleaning Sensor Surfaces for Long‐Term Environmental Monitoring

open access: yesAdvanced Engineering Materials, EarlyView.
Long‐term use of unattended outdoor sensors without soiling or biofouling is achieved through generation of a micro‐ and nanorough cuvette surface by combing hydrophobic nanoparticles with fluorinated polymers, crosslinked and surface‐attached through CHic chemistry. The coating demonstrates self‐cleaning behavior and prolonged outdoor stability, which
Sanam Kumari Rajak   +4 more
wiley   +1 more source

GazeCapsNet: A Lightweight Gaze Estimation Framework

open access: yesSensors
Gaze estimation is increasingly pivotal in applications spanning virtual reality, augmented reality, and driver monitoring systems, necessitating efficient yet accurate models for mobile deployment. Current methodologies often fall short, particularly in
Shakhnoza Muksimova   +4 more
doaj   +1 more source

Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy

open access: yesAdvanced Engineering Materials, EarlyView.
Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang   +6 more
wiley   +1 more source

Enhanced Disc Herniation Classification Using Grey Wolf Optimization Based on Hybrid Feature Extraction and Deep Learning Methods

open access: yesTomography
Due to the increasing number of people working at computers in professional settings, the incidence of lumbar disc herniation is increasing. Background/Objectives: The early diagnosis and treatment of lumbar disc herniation is much more likely to yield ...
Yasemin Sarı, Nesrin Aydın Atasoy
doaj   +1 more source

Fabrication Routes for Ionic Conducting Fiber Strain Sensors

open access: yesAdvanced Engineering Materials, EarlyView.
Ionic conducting fiber strain sensors (ICFSs) offer compliant, textile‐integrable sensing. Thus far, the commercialization of ICFSs has been constrained by fiber fabrication routes. This review provides a fabrication‐centric analysis of ICFSs correlating processing strategies with material properties and scalability.
Leo John Kershaw   +3 more
wiley   +1 more source

ADVANCING TRAFFIC SAFETY THROUGH CAPRNN: A HYBRID CAPSULE-RECURRENT NEURAL NETWORK FOR ACCIDENT FORECASTING

open access: yesMağallaẗ Al-kūfaẗ Al-handasiyyaẗ
One of the primary causes of death globally has been traffic accidents involving vehicles on public roads. To address this issue, we introduce Capsule Recurrent Neural Network (CapRNN), a new deep learning architecture designed specifically to improve ...
Rahul Verma, Madan Mohan Agarwal
doaj   +1 more source

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