Results 171 to 180 of about 1,011,171 (338)

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
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, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Support vector machine-based classification of bulimia nervosa using diffusion tensor imaging. [PDF]

Front Psychiatry
Zheng L, Wang Y, Jing M, Wang M, Liu Y, Li J, Li T, Zhang L.   +7 more
europepmc   +1 more source

Classification of Sand-Binder Mixtures from the Foundry Industry Using Electrical Impedance Spectroscopy and Support Vector Machines [PDF]

Luca Bifano, Xiaohu Ma, Gerhard Fischerauer   +2 more
openalex   +1 more source

Selective Charge Injection via Topological van der Waals Contacts for Barrier‐Free p‐Type TMD Transistors

Advanced Functional Materials, EarlyView.
 Topological van der Waals contacts represent a new class of electrodes for 2D semiconductors, enabling precise control of the Schottky barrier height (SBH) and contact resistance (RC) through interlayer distance and orbital hybridization engineering. In Se‐based transition metal dichalcogenides, these contacts achieve an ultralow SBH of 7 meV, RC of 0.
Soheil Ghods, Ho‐Chan Jang, Jun‐Hui Choi, Min Woo Kim, Hyunjin Lee, Tae‐Hoon Kim, Keun Heo, Hyung Jun Kwun, Taehun Lee, Yoon Kyeung Lee, Sang Hoon Lee, Seung‐Il Kim, Woonhyuk Baek, Sukang Bae, Ji‐Yun Moon, Jae‐Hyun Lee   +15 more
wiley   +1 more source

Support Vector Machine-Based Prediction Model for Healthcare Workforce Transition Success Under Decentralization. [PDF]

F1000Res
Sarakshetrin A, Sujimongkol C, Rongmuang D, Chantra R, Nimwatanakul S.   +4 more
europepmc   +1 more source

Severity analysis of crashes on express lane facilities using support vector machine model trained by firefly algorithm

, 2020
Angela E. Kitali, Seyedmirsajad Mokhtarimousavi, Cecilia Kadeha, Priyanka Alluri   +3 more
openalex   +2 more sources

Reinforced Concrete‐Inspired Multiscale Hierarchical Metamaterial Composite for Synergistic Enhancement Across Thermal, Electromagnetic, and Mechanical Domains

Advanced Functional Materials, EarlyView.
A structurally integrated multiscale hierarchical metamaterial composite (MHMC), inspired by the synergistic architecture of reinforced concrete, achieves simultaneous enhancement of thermal, electromagnetic, and mechanical functionalities. By combining a carbon black‐based mechanical metamaterial with a porosity‐graded cellulose acetate aerogel, this ...
Jeongwoo Lee, Junyeol Choi, Junyong Seo, Jaemin Lee, Dowon Noh, Hoyoung Jang, Hwanju Lim, Jinwoo Park, Run Hu, Wonjoon Choi   +9 more
wiley   +1 more source

A support vector machine-based tool for rapid pediatric asthma exacerbation risk assessment: development and nursing application. [PDF]

Front Pediatr
Tang H, Yang G, Gu X, Mao H, Cao H.
europepmc   +1 more source

Mesoporous Carbon Thin Films with Large Mesopores as Model Material for Electrochemical Applications

Advanced Functional Materials, EarlyView.
Mesoporous carbon thin films possessing 70 nm mesopores are prepared on titanium substrates by soft templating of resol resins with a self‐synthesized poly(ethylene oxide)‐block‐poly(hexyl acrylate) block copolymer. A strategy to avoid corrosion of the metal substrate is presented, and the films are extensively characterized in terms of morphology ...
Lysander Q. Wagner, Joshua Schober, Pascal Dippell, Chantal Glatthaar, Smail Mekhilef, David Schäfer, Hannes Hergert, Marcus Rohnke, Matthias T. Elm, Bernd M. Smarsly   +9 more
wiley   +1 more source

Retraction: Improved support vector machine based on CNN-SVD for vision-threatening diabetic retinopathy detection and classification. [PDF]

PLoS One
PLOS One Editors.
europepmc   +1 more source