Results 201 to 210 of about 1,480,093 (371)

Intrusion detection system based on machine learning using least square support vector machine. [PDF]

Sci Rep
Waghmode P, Kanumuri M, El-Ocla H, Boyle T.   +3 more
europepmc   +1 more source

Question classification using support vector machines [PDF]

, 2003
Dell Zhang, Wee Sun Lee
openalex   +1 more source

Computational Modeling of Reticular Materials: The Past, the Present, and the Future

Advanced Materials, EarlyView.
Reticular materials are advanced materials with applications in emerging technologies. A thorough understanding of material properties at operating conditions is critical to accelerate the deployment at an industrial scale. Herein, the status of computational modeling of reticular materials is reviewed, supplemented with topical examples highlighting ...
Wim Temmerman, Ruben Goeminne, Kuber Singh Rawat, Veronique Van Speybroeck   +3 more
wiley   +1 more source

Development and Validation of a Hypertension Risk Prediction Model Based on Particle Swarm Optimization-Support Vector Machine. [PDF]

Bioengineering (Basel)
You R, Tao Q, Wang S, Cao L, Zeng K, Lin J, Chen H.   +6 more
europepmc   +1 more source

Sequence Information for the Splicing of Human Pre-mRNA Identified by Support Vector Machine Classification [PDF]

, 2003
Xiang H.-F. Zhang
openalex   +1 more source

Support vector machine active learning for image retrieval

MULTIMEDIA '01, 2001
Simon Tong, E. Chang
semanticscholar   +1 more source

Rational Design of Metal–Organic Frameworks for Pancreatic Cancer Therapy: from Machine Learning Screening to In Vivo Efficacy

Advanced Materials, EarlyView.
This work explores the MOF landscape to select a single, optimal candidate for successfully delivering cancer drugs (gemcitabine, paclitaxel, SN‐38) into tough pancreatic tumors. Machine learning and simulations guide this search, demonstrating colloidal stability, excellent biocompatibility, cellular uptake, and sustained release.
Francesca Melle, Dhruv Menon, João Conniot, Jon Ostolaza‐Paraiso, Sergio Mercado, Jhenifer Oliveira, Xu Chen, Bárbara B. Mendes, João Conde, David Fairen‐Jimenez   +9 more
wiley   +1 more source

On-Line Support Vector Machine Regression

, 2002
Mario Martín
openalex   +1 more source

Application of support vector machines classifiers to visual speech recognition [PDF]

, 2003
Mihaela Gordan, Constantine Kotropoulos, Ioannis Pitas   +2 more
openalex   +1 more source

Challenges and Opportunities of Upconversion Nanoparticles for Emerging NIR Optoelectronic Devices

Advanced Materials, EarlyView.
The special photo‐responsiveness of upconversion nanoparticles has opened up a new path for the advancement of near‐infrared (NIR)‐responsive optoelectronics. However, challenges such as low energy‐conversion efficiency and high nonradiative losses still persist.
Sunyingyue Geng, Hangfei Li, Ziyu Lv, Yongbiao Zhai, Bobo Tian, Ying Luo, Ye Zhou, Su‐Ting Han   +7 more
wiley   +1 more source