Search Results - "Machine learning classification algorithms"

Reducing Execution Time of Pixel-Based Machine Learning Classification Algorithms Using Parallel Processing Concept

Authors: null Aliaa Shaker Mahmoud null Mohammed Chachan Younis

Source: AL-Rafidain Journal of Computer Sciences and Mathematics. 19:53-66

Comparison of Basic Statistics and Machine Learning Classification Algorithms in Kalimantan Poverty Prediction with Handling Missing Data

Authors: Khusnia Nurul Khikmah A'yunin Sofro Sofro

Source: Jurnal Matematika, Statistika dan Komputasi. 22:90-101

Diabetes Disease Prediction Using Machine Learning Classification Algorithms

Authors: Thanakorn Pamutha Wanchana Promthong Sofwan Pahlawan

Source: International Journal on Advanced Science, Engineering and Information Technology. 15:1060-1069

Review on Prediction of Diabetes Using Machine Learning Classification Algorithms

Authors: Priyanka Sopan Mogal Prof. K D kharat

Source: INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT. :1-9

Patient Readmission Risk Prediction: Machine Learning Classification Algorithms

Authors: null Manish Tripathi null Dr. Deependra Rastogi

Source: Universal Research Reports. 12:149-162

Predict Overweight or Obesity using Body Fat Percentage with Machine Learning Classification Algorithms to Enhance Accuracy

Authors: N Nalini Subuddi Nagaraju R Jayanthi et al.

Source: 2025 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI). :1-5

Analysis Impact of Financial Ratios on Bank Success Using Machine Learning Classification Algorithms: The Case of Turkey

Authors: İsmail Dere Münevver Turanlı Selçuk Alp et al.

Source: Journal of Soft Computing and Decision Analytics. 3:50-71

Accident Liability Assessment Using Traditional Machine Learning Classification Algorithms

Authors: Aaron D’Souza Ashutosh Mishra Bidhan Chandrow Barmon et al.

Source: 2025 Fourth International Conference on Power, Control and Computing Technologies (ICPC2T). :1-6

E-Sport Engagement Prediction Using Machine Learning Classification Algorithms

Authors: null Masrur Mohd Khir null Nur Atiqah Rochin Demong null Siti Noorsuriani Maon

Source: International Journal of Interactive Mobile Technologies (iJIM). 18:185-199

Estimation of sexual dimorphism of adult human mandibles of South Indian origin using non-metric parameters and machine learning classification algorithms

Authors: John Valerian Corda A. Karthikeyan Mohammad Zuber et al.

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-23 (2025)

Subject Terms: Mandible, Machine learning algorithms, Non-metric features, Sexual dimorphism, Synthetic minority oversampling technique, Random oversampling, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/71d728b8be0d498a9d4d675445cdf4ee

Monitoring of lateral and cross level track geometry irregularities through onboard vehicle dynamics measurements using machine learning classification algorithms

Authors: Rosa, Anna De Kulkarni, Rohan Qazizadeh, Alireza et al.

Source: Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit. 235(1):107-120

Subject Terms: High-speed railway, lateral dynamics, onboard diagnostics, fault classifier, decision tree, support vector machine, Järnvägsgruppen - Fordonsteknik

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-269055
https://kth.diva-portal.org/smash/get/diva2:1410728/FULLTEXT01.pdf

COMPARISON OF MACHINE LEARNING CLASSIFICATION ALGORITHMS IN GROUPING INCOME DISTRIBUTION INEQUALITIES IN JAVA AND BALI

Authors: Qorinul Huda Puput Budi Aji

Source: Jurnal Statistika dan Aplikasinya; Vol. 8 No. 2 (2024): Jurnal Statistika dan Aplikasinya; 217-230

Subject Terms: Machine Learning, BLT, Adaboost, Decision Tree, resampling data, Data Mining, inequality income, Classification

File Description: application/pdf

Access URL: https://journal.unj.ac.id/unj/index.php/statistika/article/view/50567

Detection of Different DDoS Attacks Using Machine Learning Classification Algorithms: An Evaluation with the CICDDoS2019 Dataset

Authors: E.A. Idowu O.A. Odeniyi

Source: International Conference for Internet Technology and Secured Transactions (ICITST-2024). :231-235

Performance Analysis of Diabetes Disease Prediction Using Machine Learning Classification Algorithms

Authors: Pawan Kumar Jaishree Jain Neeharika Tripathi et al.

Source: 2024 1st International Conference on Advances in Computing, Communication and Networking (ICAC2N). :1251-1256

Performance Analysis of Kidney Disease Prediction Using Machine Learning Classification Algorithms and Ensemble Techniques

Authors: Deepika Yadav N. P. Singh

Source: 2024 2nd International Conference on Advancements and Key Challenges in Green Energy and Computing (AKGEC). :1-6

A Comparative Analysis of Machine Learning Classification Algorithms for Cardiovascular Disease Prediction

Authors: Elliot Kojo Attipoe Alimatu Saadia Yussiff Maame Gyamfua Asante-Mensah

Source: 2024 IEEE 9th International Conference on Adaptive Science and Technology (ICAST). :1-5

Identifying offensive speech in social media text using machine learning classification algorithms

Authors: Arvind Dagur Dhirendra Kumar Shukla Sambit Satpathy

Source: Intelligent Computing and Communication Techniques ISBN: 9781003530176

Online alert system for DDoS attack detection and prevention using machine learning classification algorithms

Authors: Bindu Madavi K. P. Krishna Sowjanya K. Tanvir Habib Sardar et al.

Source: Cogent Engineering, Vol 12, Iss 1 (2025)

Subject Terms: Denial-of-Service (DoS) attacks, distributed Denial-of-Service (DDoS), machine learning algorithms, servers, Attacks, Legal, Ethical & Social Aspects of IT, Engineering (General). Civil engineering (General), TA1-2040

File Description: electronic resource

Relation: https://doaj.org/toc/2331-1916

Access URL: https://doaj.org/article/96c3bd2cf80d4d4ab2b3a7c4846a4b2e

Sarcasm Detection in Telugu Language Text Using Distinct Machine Learning Classification Algorithms

Authors: Srinivasu Badugu B. Ravikiran

Source: International Journal of Computer Applications. 186:28-35

Application of machine learning classification algorithms to predict probability of channel presence from seismic data

Authors: Maria Yu. Oreshkova Alexandr V. Butorin

Source: Geoinformatika. :21-29