Results 241 to 250 of about 3,161,098 (343)

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva   +4 more
wiley   +1 more source

Speech and language features as indicators of neuropsychiatric symptoms in a memory clinic population. [PDF]

open access: yesAlzheimers Dement (Amst)
Alexopoulou ZS   +7 more
europepmc   +1 more source

Amide‐Linked Local Anesthetics Alter Tumor Biology in a Complex Human Tissue Model of Non‐Small Cell Lung Adenocarcinoma

open access: yesAdvanced Biology, EarlyView.
Amide local anesthetics (LA) affect tumor burden in various preclinical studies, possibly via their anti‐inflammatory properties. However, a translation into clinical evidence is still lacking. The current study demonstrates that LA ‐ even at clinically relevant concentrations – exert a strong anti‐tumoral effect in a complex ex vivo model patient ...
Juliane Krömer   +8 more
wiley   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

open access: yesAdvanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani   +2 more
wiley   +1 more source

Investigation of Iron‐Aluminide‐Like Phase Composition in Complex Concentrated Fe32Cu12Ni11Ti16Al29 Alloy

open access: yesAdvanced Engineering Materials, EarlyView.
This work reveals the phase composition and quantitative morphology analysis of precipitation‐hardened Fe32Cu12Ni11Ti16Al29 complex‐concentrated alloy. The precipitates are shown to have a high coherency. Morphology transition between sphere, cuboidal, and elongated morphology is observed. Finally, the overaging behavior is captured using microhardness.
Rostyslav Nizinkovskyi   +4 more
wiley   +1 more source

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