Results 91 to 100 of about 613,158 (317)

DESIGN AND ANALYSIS OF INTRUSION DETECTION SYSTEM USING MACHINE LEARNING IN SMART HEALTHCARE SYSTEM [PDF]

Journal of Mechanics of Continua and Mathematical Sciences
The integration of the Internet of Things (IoT) in medical applications into healthcare applications has enabled the remote monitoring of patients' information, facilitating timely diagnostics as required. The technology of the Internet of Medical Things
K. S. Yamuna, M. Sugumaran, A. Arthi, R. Premkumar   +3 more
doaj   +1 more source

VDLIN: A Deep Learning‐Based Platform for Methylcobalamin‐Inspired Immunomodulatory Compound Screening

Advanced Science, EarlyView.
Using the convolutional neural network model VDLIN, Co7 is identified as a promising therapeutic candidate. Co7 demonstrates distinct advantages over MCB by effectively balancing anti‐inflammatory and immune‐stimulatory functions, making it a potential novel approach for immune modulation.
Xuefei Guo, Yang Zhao, Xianle Rong, Chenxi Niu, Shiyu Hu, Qiang Liu, Fuping You   +6 more
wiley   +1 more source

Early Detection of COVID-19 Infection Without Symptoms (Asymptomatic) with a Support Vector Machine (SVM) Model Through Voice Recording of Forced Cough [PDF]

, 2022
Ni Nyoman Wahyuni Indraswari, I Gede Pasek Suta Wijaya, Arik Aranta, Rani Farinda   +3 more
openalex   +1 more source

Predicting Immunotherapy Outcomes in NSCLC Using RNA and Pathology from Multicenter Clinical Trials

Advanced Science, EarlyView.
LIRA, a machine learning‐based model, is developed using transcriptomic data from 891 NSCLC patients in the OAK and POPLAR cohorts. Its predictive performance is validated in multiple external cohorts. Patients stratified by LIRA‐score exhibit distinct clinical characteristics and tumor microenvironment profiles.
Zhaojun Wang, Yiran Fang, Xiatong Huang, Guichuang Ma, Qianqian Mao, Xiansheng Lu, Guangda Rong, Yunfang Yu, Yuanyuan Wang, Zhenhua Huang, Huiying Sun, Jiani Wu, Wenchao Gu, Na Huang, Jianhua Wu, Rui Zhou, Xiaoxiang Rong, Siting Zheng, Shaowei Li, Gaofeng Wang, Ling Wang, Wenjun Qiu, Luyang Jiang, Peng Luo, Yonggang Liu, Jianping Bin, Yulin Liao, Min Shi, Zuqiang Wu, Jiguang Wang, Wangjun Liao, Gang Chen, Dongqiang Zeng   +32 more
wiley   +1 more source

Optimizing Cervical Cancer Classification with SVM and Improved Genetic Algorithm on Pap Smear Images [PDF]

Computer Science Journal of Moldova
This study presents an approach to optimize cervical cancer classification using Support Vector Machines (SVM) and an improved Genetic Algorithm (GA) on Pap smear images.
S. Umamaheswari, Y. Birnica, J. Boobalan, V. S. Akshaya   +3 more
doaj   +1 more source

Synergistic Modulation of Microglial Polarization by Acteoside and Ferulic Acid via Dual Targeting of Nrf2 and RORγt to Alleviate Depression‐Associated Neuroinflammation

Advanced Science, EarlyView.
Machine‐learning‐directed phytochemical pair ACT/FA, administered at BDD's orthodox ratio, synergistically modulates microglial polarization via dual Nrf2/RORγt targeting to attenuate neuroinflammation and depressive behaviors. This concentration‐dependent synergism replicates the parent formula's efficacy while providing a mechanistic basis for ...
Dongjing Guo, Qiancheng Mao, Xinyu Fang, Liuxuan Huang, Haoquan Tian, Wenguang Yang, Feiyue Zhou, Ke Ma   +7 more
wiley   +1 more source

Metode Algoritma Support Vector Machine (SVM) Linier Dalam Memprediksi Kelulusan Mahasiswa

, 2022
Oktaviana Bangun, Herman Mawengkang, Syahril Efendi   +2 more
openalex   +2 more sources

Single‐Nucleus RNA Sequencing Reveals Mid‐Gestational Neurodevelopment Features in the Superior Temporal Plane from Fetuses with Nonsyndromic Cleft Lip and Palate

Advanced Science, EarlyView.
Single‐nucleus RNA sequencing of mid‐gestation brains from fetuses with nonsyndromic cleft lip and palate reveals major disruptions in cell composition, cell‐to‐cell signaling, and gene regulation. The transcription factor MEF2C is identified as a central regulator of these changes and shows that lowering MEF2C impairs synapse formation, linking cleft ...
Liu‐Lin Xiong, Xin‐Wei Huang, Qiu‐Xia Xiao, Ying‐Gang Zheng, Hao‐Yue Qin, Chang‐Le Fang, Li Chen, Ruo‐Lan Du, Qiu‐Lin Wang, Li‐Ren Huangfu, Ye‐Qing Fei, Yang‐Yang Zhao, Chen‐Yang Zhai, Ze‐Mian Chen, Shi‐Kun Yuan, Yu‐Ji Zhou, Xing‐Man He, Ting‐Ting Zhi, Xiao‐He Tian, Ting‐Hua Wang   +19 more
wiley   +1 more source

SVM Parameter Optimization using Grid Search and Genetic Algorithm to Improve Classification Performance

, 2016
Machine Learning algorithms have been widely used to solve various kinds of data classification problems. Classification problem especially for high dimensional datasets have attracted many researchers in order to find efficient approaches to address ...
Iwan Syarif, A. Prügel-Bennett, G. Wills   +2 more
semanticscholar   +1 more source

Convolutional SVM Networks for Object Detection in UAV Imagery

IEEE Transactions on Geoscience and Remote Sensing, 2018
Nowadays, unmanned aerial vehicles (UAVs) are viewed as effective acquisition platforms for several civilian applications. They can acquire images with an extremely high level of spatial detail compared to standard remote sensing platforms.
Y. Bazi, F. Melgani
semanticscholar   +1 more source