Results 171 to 180 of about 823,383 (284)

Support Vector Machine Based Classification Model for Screening Plasmodium falciparum Proliferation Inhibitors and Non-Inhibitors

Biomedical Engineering and Computational Biology, 2011
Sangeetha Subramaniam, Monica Mehrotra, Dinesh Gupta   +2 more
doaj  

Human action recognition using support vector machines and 3D convolutional neural networks

, 2017
Majd Latah
openalex   +2 more sources

Transistor‐Level Activation Functions via Two‐Gate Designs: From Analog Sigmoid and Gaussian Control to Real‐Time Hardware Demonstrations

Advanced Materials, EarlyView.
Screen gate‐based transistors are presented, enabling tunable analog sigmoid and Gaussian activations. The SA‐transistor improves MRI classification accuracy, while the GA‐transistor supports precise Gaussian kernel tuning for forecasting. Both functions are implemented in a single device, offering compact, energy‐efficient analog AI processing ...
Junhyung Cho, Youngmin Han, Won Woo Lee, Youngwoo Yoo, Kannan Udaya Mohanan, Chang‐Hyun Kim, Junhwan Choi, Young‐Joon Kim, Wonjun Shin, Hocheon Yoo   +9 more
wiley   +1 more source

Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems

, 2006
Luca Zanni, Thomas Serafini, Gaetano Zanghirati   +2 more
openalex   +1 more source

Perbandingan Algoritma Klasifikasi Support Vector Machine, Random Forest dan Logistic Regression Pada Ulasan Shopee

Asep Saepudin, Ahmad Faqih, Gifthera Dwilestari   +2 more
openalex   +2 more sources

Non-destructive detection of highway hidden layer defects using a ground-penetrating radar and adaptive particle swarm support vector machine

, 2021
Xinyu Liu, Peiwen Hao, Aihui Wang, Liangqi Zhang, Bo Gu, Xinyan Lu   +5 more
openalex   +1 more source

Review of Thin Lithium Metal Battery Anode Fabrication – Microstructure – Electrochemistry Relations

Advanced Materials, EarlyView.
Thin, lightweight lithium‐metal anodes are pivotal for practical high‐energy batteries. This review surveys processing routes that convert diverse Li precursors, e.g., ingots, melts, solutions, and vapor, into Li‐rich foils with controlled thickness, areal density, and tailored functionality.
Yuhang Hu, Zidong Chen, Yixian Wang, Haorui Hou, Bingcheng Chen, David Mitlin, Wei Liu   +6 more
wiley   +1 more source

Impact of Internal Parameterization on the Performance of Support Vector Machines for Crop Mapping Sentinel-2 NDVI Time Series

, 2020
Badr-eddine Sebbar, Aicha Moumni, A. Lahrouni   +2 more
openalex   +1 more source

Magnetic Domain Texture in Fe3O4 Thin Films on SiO2 Nanospheres

Advanced Materials, EarlyView.
Fe3O4 thin films grown on ordered SiO2 nanospheres form curved nanocaps with 3D geometry, inducing magnetic domain texture. X‐ray spectromicroscopy (XMCD‐PEEM), cross‐sectional electron microscopy (STEM), and polarized grazing‐incidence small‐angle neutron scattering (GISANS) reveal how topography modulates magnetization.
Mai Hussein Hamed, Yifan Xu, Hebatalla Elnaggar, Mohamed Zaghloul, Antonio M. Mio, Alicia Backs, Annika Stellhorn, Vitor de Oliveira Lima, Chenyang Yin, Connie Bednarski‐Meinke, Nina‐Juliane Steinke, Oleg Petracic, Thomas Brückel, Thomas Saerbeck, Asma Qdemat   +14 more
wiley   +1 more source

Active Learning‐Guided Accelerated Discovery of Ultra‐Efficient High‐Entropy Thermoelectrics

Advanced Materials, EarlyView.
An active learning framework is introduced for the accelerated discovery of high‐entropy chalcogenides with superior thermoelectric performance. Only 80 targeted syntheses, selected from 16206 possible combinations, led to three high‐performance compositions, demonstrating the remarkable efficiency of data‐driven guidance in experimental materials ...
Hanhwi Jang, Wooseok Lee, Hwa‐Jung Kim, Sohyang Cha, Hosun Shin, Won Bo Lee, Min‐Wook Oh, Yeon Sik Jung, YongJoo Kim   +8 more
wiley   +1 more source