Results 171 to 180 of about 613,158 (317)

Revelation of Diabetics by Inadequate Balanced SVM

, 2021
E Revathy.
openalex   +2 more sources

Identification of Exhaled Volatile Organic Compounds Biomarkers for Lung Cancer Under Data‐Limited Conditions Using Data Augmentation and Multi‐View Feature Selection

Advanced Intelligent Discovery, EarlyView.
This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren, Bohao Liu, Zhiyuan Qu, Xue Jiang, Heng Zhao, Danyao Qu, Ruizhi Ning, Chen Su, Taoping Liu, Guangjian Zhang, Weiwei Wu   +10 more
wiley   +1 more source

Cardiovascular disease detection: A hybrid machine learning-AI framework for personalized diagnosis and risk assessment. [PDF]

PLoS One
Tawfeek MA, Alrashdi I, Alruwaili M, Allahem H.   +3 more
europepmc   +1 more source

Comparative analysis of ReliefF-SVM and CFS-SVM for microarray data classification

, 2021
Mochamad Agusta Naofal Hakim, Adiwijaya Adiwijaya, Widi Astuti   +2 more
openalex   +2 more sources

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

Artificial intelligence for predicting depression anxiety and stress using psychometric data. [PDF]

Sci Rep
ShamsEldin T, Gaber S, Ansari S, Elgohary R, Shawky MA, Elbahnasawy M, Abdrabou M.   +6 more
europepmc   +1 more source

Research on Fault Diagnosis Based on SVM [PDF]

, 2013
Wanling Li, Zhensheng Wang, Daquan Deng, Jun Tang   +3 more
openalex   +1 more source

Color-Based Feature Extraction Method for Skin Segmentation Based on SVM

, 2022
B. K. Harsha
openalex   +1 more source

Practical selection of SVM parameters and noise estimation for SVM regression

Neural Networks, 2004
V. Cherkassky, Yunqian Ma
semanticscholar   +1 more source

Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The overlapping and imbalanced data in classification present key challenges. Class‐separable extreme learning machine auto‐encoding (CS‐ELM‐AE) is proposed, which is an enhancement of ELM‐AE that better handles overlapping data by clustering points from the same class together. Applying oversampling addresses imbalanced data.
Ekkarat Boonchieng, Wanchaloem Nadda
wiley   +1 more source