Results 111 to 120 of about 8,744,702 (255)
Machine learning applications in industrial solid ash
Machine Learning Applications in Industrial Solid Ash begins with fundamentals in solid ash, covering the status of solid ash generation and management.
Chen, Qiusong +2 more
core +1 more source
Neuromorphic plasticity in OECTs is governed by the post‐stimulus evolution of coupled ionic and electronic states. Semiconductor chemistry and morphology, electrolyte composition and interfaces, and device architecture regulate ion injection, transport, confinement, and release, shifting responses from rapidly relaxing STP to metastable memory and ...
Inho Lee +9 more
wiley +1 more source
Learning labelled dependencies in machine translation evaluation [PDF]
Recently novel MT evaluation metrics have been presented which go beyond pure string matching, and which correlate better than other existing metrics with human judgements.
He, Yifan, Way, Andy
core +2 more sources
ML-CKDP: Machine learning-based chronic kidney disease prediction with smart web application
ML-CKDP: Machine learning-based chronic kidney disease prediction with smart web ...
S Saha (5006636) +8 more
core +1 more source
Background and objectives: In the face of increasing digitalization and the need to adapt to environmental and economic challenges, technological innovation plays a crucial role in strengthening the competitiveness and sustainability of agribusinesses ...
Anibal Toscano Hernandez +2 more
doaj +1 more source
Self‐Adaptive Gradient Interphase Enables Durable Solid‐State Lithium Metal Batteries
This work presents a machine learning‐guided interfacial design that forms a self‐adaptive graded interphase on lithium metal anode. A B105M40 composite interlayer evolves into lithiophilic, porous, and fast‐ion‐conducting phases, enabling intimate contact, dendrite suppression, and uniform lithium deposition.
Hongmin Liu +9 more
wiley +1 more source
With the emergence of 5G technology, congestion control has become a vital challenge to be addressed in order to have efficient communication. There are several congestion control models that have been proposed to control and predict the possible ...
Mohammed B. Alshawki +2 more
doaj +1 more source
Single‐cell and spatially resolved impedance mapping using a high‐density CMOS‐MEA platform enables non‐invasive monitoring of osteoarthritis‐associated chondrocyte dynamics. Continuous label‐free measurements reveal heterogeneous remodeling behaviors, including proliferation, migration, and phenotypic transitions, establishing a powerful approach for ...
Neha Deshpande +9 more
wiley +1 more source
Optimization of two-wheeler Bike engine among three different designs using design of experiments
This research presents the results of a fin heat transfer study of three different models of the motorcycle engine. The objective of this study is to minimize the external body temperature because the optimum design will be found when the heat transfer ...
Manish Dadhich +6 more
doaj +1 more source
Advancing Human Skin Equivalents: The Crucial Role of Neurovascular Integration
This review discusses the importance of integrating vascular and peripheral nerve systems into human skin equivalents (HSEs) to better recapitulate native skin physiology. Recent advances in vascularized, innervated, and neurovascularized HSEs are highlighted, together with emerging bioengineering strategies, current challenges, and future ...
Hao Wu +4 more
wiley +1 more source

