Results 161 to 170 of about 303,008 (292)

Priorization of River Restoration by Coupling Soil and Water Assessment Tool (SWAT) and Support Vector Machine (SVM) Models in the Taizi River Basin, Northern China. [PDF]

Int J Environ Res Public Health, 2018
Fan J, Li M, Guo F, Yan Z, Zheng X, Zhang Y, Xu Z, Wu F.   +7 more
europepmc   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

An integrated approach of support vector machine (SVM) and weight of evidence (WOE) techniques to map groundwater potential and assess water quality. [PDF]

Sci Rep
Riaz MT, Riaz MT, Rehman A, Bindajam AA, Mallick J, Abdo HG.   +5 more
europepmc   +1 more source

Use of Machine Learning to Identify Markers of Risk for Fragile X‐Associated Tremor/Ataxia Syndrome: A Preliminary Analysis

Annals of Neurology, EarlyView.
Objective The objective of this study was to examine whether machine learning has the capacity to prospectively identify and predict the emergence of Fragile X‐associated tremor/ataxia syndrome (FXTAS) among male fragile X premutation carriers (PCs). Methods We explored neuropsychological and motor evaluation metrics, brain magnetic resonance imaging ...
Chitrabhanu Gupta, Angeela Poudel, Jun Yi Wang, Randi Hagerman, Glenda Espinal, Jessica Famula, Andrea Schneider, Flora Tassone, Susan M. Rivera, Chen‐Nee Chuah, David Hessl   +10 more
wiley   +1 more source

Applying a Support Vector Machine (SVM-RFE) Learning Approach to Investigate Students' Scientific Literacy Development: Evidence from Asia, Europe, and South America. [PDF]

J Intell
Li J, Wang J, Xue E.
europepmc   +1 more source

Highly predictive support vector machine (SVM) models for anthrax toxin lethal factor (LF) inhibitors. [PDF]

J Mol Graph Model, 2016
Zhang X, Amin EA.
europepmc   +1 more source

A Metabolomic Signature Predicts Gout Flare Clinical Outcome Associated With Colchicine Prophylaxis

Arthritis &Rheumatology, EarlyView.
Objective This study investigated that serum metabolomics, before urate‐lowering therapy (ULT) initiation, could serve as a biomarker for responsiveness to colchicine prophylaxis in patients with gout commencing treat‐to‐target ULT. Methods We studied a multicenter prospective cohort (n = 409) initiating treat‐to‐target ULT plus colchicine prophylaxis.
Wenyan Sun, Lingfang Xu, Haibing Chen, Mingshu Sun, Zhiqiang Li, Rui Li, Lidan Ma, Hui Zhang, Aichang Ji, Yuwei He, Na Wu, Le Yan, Robert Terkeltaub, Changgui Li   +13 more
wiley   +1 more source

Optimizing support vector machine (SVM) by social spider optimization (SSO) for edge detection in colored images. [PDF]

Sci Rep
Wang J.
europepmc   +1 more source

Adaptive Machine Learning Framework for Optimizing the Affinity Purification of Adeno‐Associated Viral Vectors

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Adeno‐associated viral (AAV) vectors for gene therapy are becoming integral to modern medicine, providing therapeutic options for diseases once deemed incurable. Currently, viral vector purification is a critical bottleneck in the gene therapy industry, impacting product efficacy and safety as well as accessibility and cost to patients ...
Kelvin P. Idanwekhai, Shriarjun Shastry, Morgan R. Hurst, Arianna Minzoni, Eduardo Barbieri, Luke Remmler, Eugene N. Muratov, Michael A. Daniele, Stefano Menegatti, Alexander Tropsha   +9 more
wiley   +1 more source

Mediated Electrochemical Probing and Machine Learning for Cysteine and Reduced Monoclonal Antibody Quantification

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Biopharmaceutical manufacturing requires robust analytics and process controls throughout production to insure high yield of quality products. New methodologies for rapidly accessing and integrating data‐rich information from complex dynamic biological environments are of great interest.
Kayla Chun, Varun Kochar, Evelyn Jaskowiak, Chen‐Yu Chen, Divya Muthusamy, Dana Motabar, Eunkyoung Kim, Gregory F. Payne, William E. Bentley   +8 more
wiley   +1 more source