Search Result "predictive performance"


Predictive Genomics DNA Profiling for Athletic Performance

Journal: Recent Patents on DNA & Gene Sequences
Volume: 6 Issue: 3 Year: 2012 Page: 229-239
Author(s): Marios Kambouris,Foteini Ntalouka,Georgios Ziogas,Nicola Maffulli

A New Perspective to Evaluate Machine Learning Algorithms for Predicting Employee Performance

Ebook: Intelligent Technologies for Automated Electronic Systems
Volume: 1 Year: 2024
Author(s):
Doi: 10.2174/9789815179514124010013

General Research Article

A Hybrid Branch Prediction Approach For High-Performance Processors

Journal: Recent Advances in Computer Science and Communications
Volume: 15 Issue: 6 Year: 2022 Page: 883-889
Author(s): Sweety Nain,Prachi Chaudhary

Review Article

Protein Inter-Residue Contacts Prediction: Methods, Performances and Applications

Journal: Current Bioinformatics
Volume: 14 Issue: 3 Year: 2019 Page: 178-189
Author(s): Xiaoyang Jing,Qimin Dong,Ruqian Lu,Qiwen Dong

Research Article

Performance Analysis and Cavitation Prediction of Centrifugal Pump Using Various Working Fluids

Journal: Recent Patents on Mechanical Engineering
Volume: 12 Issue: 3 Year: 2019 Page: 227-239
Author(s): Atiq Ur Rehman,Akshoy Ranjan Paul,Anuj Jain

Performance Evaluation of ML Algorithms for Disease Prediction Using DWT and EMD Techniques

Ebook: Computational Intelligence and Machine Learning Approaches in Biomedical Engineering and Health Care Systems
Volume: 1 Year: 2022
Author(s):
Doi: 10.2174/9781681089553122010009

Research Article

Prediction Intelligence System Based Real Time Monitoring of Yoga Performers

Journal: Recent Patents on Computer Science
Volume: 12 Issue: 1 Year: 2019 Page: 11-17
Author(s): Mani Prasanna,Arun Kumar Thangavelu,Arun Kumar Sangaiah,Mohamed Iqubal Jawid Nazir

The Potential Performance of Artificial Neural Networks in QSTRs for Predicting Ecotoxicity of Environmental Pollutants

Journal: Current Computer-Aided Drug Design
Volume: 1 Issue: 1 Year: 2005 Page: 65-72
Author(s): Ryo Shoji

Comparison of performance of docking, LIE, metadynamics and QSAR in predicting binding affinity of benzenesulfonamides

Journal: Current Computer-Aided Drug Design
Volume: 11 Issue: 3 Year: 2015 Page: 237-244
Author(s): Vytautas Raškevičius,Visvaldas Kairys

Prediction Problems in Healthcare Applications

Ebook: Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare
Volume: 1 Year: 2021
Author(s): Boran Sekeroglu
Doi: 10.2174/9781681088716121010005

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