Results 131 to 140 of about 613,158 (317)

Tuberculosis Classification using SVM and Modified CNN [PDF]

Iranian Journal of Electrical and Electronic Engineering
Tuberculosis (TB) is a dangerous disease caused by mycobacterium leads to mortality. Early detection and identification of tuberculosis is crucial for managing tuberculosis infections.
SRINIVAS BABU N, SHASHIKIRAN S, M JAYANTHI, Rajani N, K M PALANISWAMY, M R KUSHALATHA   +5 more
doaj  

A Machine Learning Approach with Support Vector Machine (SVM) for Prediction of Preoperative Lymph Node Status with MR Images and clinical features for Intrahepatic Cholangiocarcinoma [PDF]

, 2019
Lili Xu, Peng Yang, Wei Liang, Lei Xing, Tong Niu, Mingfang Huang   +5 more
openalex   +1 more source

An Interpretable SERS–AI Platform for Rapid and Quantitative Diagnosis of Polymicrobial UTIs: Powered by Positively Charged Plasmonic Nanoparticles and Attention‐Based Deep Learning

Advanced Science, EarlyView.
This work introduces a label‐free SERS‐AI platform for rapid and interpretable diagnosis of polymicrobial urinary tract infections. By integrating Au@Ag@bPEI substrates with a CNN‐CBAM model, the system enables accurate bacterial identification and proportion prediction, while highlighting biologically relevant Raman features.
Zhonghua Shen, Linguo Xie, Yuwei Hou, Junjie Liang, Yuchi Jia, Haipeng Zhang, Zhenli Sun, Jingjing Du, Zeying He, Chunyu Liu, Wenjing Liu   +10 more
wiley   +1 more source

Dark Web Text Classification by Learning through SVM Optimization

, 2022
Ch A. S. Murty, Parag H. Rughani
openalex   +1 more source

Parkinson’s Disease Diagnosis in Cepstral Domain Using MFCC and Dimensionality Reduction with SVM Classifier [PDF]

, 2021
Atiqur Rahman, Sanam Shahla Rizvi, Irfan Ullah Khan, Aaqif Afzaal Abbasi, Shafqat Ullah Khan, Tae‐Sun Chung   +5 more
openalex   +1 more source

Machine Learning for Accelerating Energy Materials Discovery: Bridging Quantum Accuracy with Computational Efficiency

Advanced Energy Materials, EarlyView.
This perspective highlights how machine learning accelerates sustainable energy materials discovery by integrating quantum‐accurate interatomic potentials with property prediction frameworks. The evolution from statistical methods to physics‐informed neural networks is examined, showcasing applications across batteries, catalysts, and photovoltaics ...
Kwang S. Kim
wiley   +1 more source

Multi-Class Classification of the YouTube Comments using Machine Learning

Pakistan Journal of Engineering & Technology, 2020
Due to huge data on Social media the people face difficulty to finding in qualitative content of the video if they find the qualitative content as per their judgment and knowledge, they do not confirm the actual content quality. People put their idea and
Shoaib Nawaz , Muhammad Rizwan, Samina Yasin, Mehtab Ahmed , Umar Farooq   +4 more
doaj  

Optimized SVM based on artificial bee colony algorithm for remote sensing image classification

, 2018
Nan Li, Xiufang ZHU, Yaozhong PAN, Pei Zhan   +3 more
openalex   +2 more sources

Guideline for Non‐Destructive Testing of Agricultural Product Quality Using Spectral Imaging Technology

AgriFood: Journal of Agricultural Products for Food, EarlyView.
This research guide focuses on the application of spectral imaging technology in the detection of fruit and vegetable quality, and expounds its core advantages as a non‐destructive technology for detecting fruit and vegetable quality. ABSTRACT This research guide focuses on the application of spectral imaging technology in the detection of fruit and ...
Jiangao Qiu, Xirui Zhang, Jie Guo, Jianbo Xiao, Lina Zhang, Shaohua Fu, Ruiwu Xu, Chao Cao   +7 more
wiley   +1 more source

Gene prediction in metagenomic fragments based on the SVM algorithm [PDF]

, 2013
Liu Yong-chu, Jiangtao Guo, Gangqing Hu, Huaiqiu Zhu   +3 more
openalex   +1 more source