Results 191 to 200 of about 469,122 (324)

Improved Support Vector Machine Using Multiple SVM-RFE for Cancer Classification

, 2017
Nurul Nadzirah Mohd Hasri, Hui Wen Nies, Weng Howe Chan, Mohd Saberi Mohamad, Safaai Deris, Shahreen Kasim   +5 more
openalex   +2 more sources

Sculpting the Future of Bone: The Evolution of Absorbable Materials in Orthopedics

Advanced Materials, EarlyView.
This review summarizes the current status of polymeric, ceramic, and metallic absorbable materials in orthopedic applications, and highlights several innovative strategies designed to enhance mechanical performance, control degradation, and promote bioactivity. We also discuss the progress and translational potential of absorbable materials in treating
Zhao Wang, Zehui Lv, Xuejie Cai, Yingjie Wang, Bo Peng, Haojing Xu, Hualuo Pang, Xingdong Yang, Jiawei Xu, Yixin Bian, Bin Feng, Peng Wen, Yufeng Zheng, Xisheng Weng   +13 more
wiley   +1 more source

Proteomic Analysis of BMAC from the Iliac Crest and Humeral Head Using Support Vector Machines. [PDF]

ACS Omega
Herna C, Cipriani M, Zhang Y, Sachdev R, Jedlicka S.   +4 more
europepmc   +1 more source

Vision-based Pakistani sign language recognition using bag-of-words and support vector machines. [PDF]

Sci Rep, 2022
Mirza MS, Munaf SM, Azim F, Ali S, Khan SJ.   +4 more
europepmc   +1 more source

Techniques for Selecting the Optimal Parameters of One-Class Support Vector Machine Classifier for Reduced Samples

, 2021
Yasmine Guerbai, Youcef Chibani, Yassine Meraihi   +2 more
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

Fluorescence Guided Raman Spectroscopy enables the training of robust support vector machines for the detection of tumour marker proteins. [PDF]

Sci Rep
Reifenrath J, Gardner B, Gigler A, Liesche-Starnecker F, Eldershaw S, Stone N, Schlegel J.   +6 more
europepmc   +1 more source

SVMMDR: Prediction of miRNAs-drug resistance using support vector machines based on heterogeneous network. [PDF]

Front Oncol, 2022
Duan T, Kuang Z, Deng L.
europepmc   +1 more source

Perbandingan Kinerja Algoritma Naïve Bayes, Decision Tree, dan Support Vector Machine dalam Deteksi Serangan Siber Berdasarkan Log Sistem di Universitas Muhammadiyah Purwokerto

Aulya Alyana Aysha, Mukhlis Prasetyo Aji, Ermadi Satriya Wijaya, Elindra Ambar Pambudi   +3 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