Results 151 to 160 of about 442,254 (313)

Application of Support Vector Machine (SVM) in Human Factors Analysis of Aviation Accidents: A Study Based on Chinese Accident Databases [PDF]

Peipei Ren, Bin Hu
openalex   +1 more source

Hierarchical SVM for Semantic Segmentation of 3D Point Clouds for Infrastructure Scenes

, 2023
Mohamed Mansour, Jan Martens, Jörg Blankenbach   +2 more
openalex   +2 more sources

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

Absolute Value Inequality SVM for the PU Learning Problem [PDF]

Yongjia Yuan, Fusheng Bai
openalex   +1 more source

Developing an SVM classifier for extended ES protein structure prediction [PDF]

, 2017
Piotr Fabian, Katarzyna Stąpor
openalex   +1 more source

Corn Kernel Segmentation and Damage Detection Using a Hybrid Watershed-Convex Hull Approach. [PDF]

Foods
Shen Y, Wang W, Luo X, Zou F, Yin Z.
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

A Support vector machine-based mixture cure model for mixed case interval censored data. [PDF]

Stat Comput
Pal S, Aselisewine W.
europepmc   +1 more source

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

Forecasting photovoltaic power in high-latitude regions via support vector machine optimized by meta-heuristics. [PDF]

Sci Rep
Oruç S, Hınıs MA, Tuğrul T.
europepmc   +1 more source