Suchergebnisse - "Machine Learning Classification Algorithms"

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

Autoren: null Aliaa Shaker Mahmoud null Mohammed Chachan Younis

Quelle: 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

Autoren: Khusnia Nurul Khikmah A'yunin Sofro Sofro

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

Diabetes Disease Prediction Using Machine Learning Classification Algorithms

Autoren: Thanakorn Pamutha Wanchana Promthong Sofwan Pahlawan

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

Review on Prediction of Diabetes Using Machine Learning Classification Algorithms

Autoren: Priyanka Sopan Mogal Prof. K D kharat

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

Patient Readmission Risk Prediction: Machine Learning Classification Algorithms

Autoren: null Manish Tripathi null Dr. Deependra Rastogi

Quelle: Universal Research Reports. 12:149-162

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

Autoren: N Nalini Subuddi Nagaraju R Jayanthi et al.

Quelle: 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

Autoren: İsmail Dere Münevver Turanlı Selçuk Alp et al.

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

Accident Liability Assessment Using Traditional Machine Learning Classification Algorithms

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

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

E-Sport Engagement Prediction Using Machine Learning Classification Algorithms

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

Quelle: 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

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

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

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

Dateibeschreibung: electronic resource

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

Zugangs-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

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

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

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

Dateibeschreibung: electronic

Zugangs-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

Autoren: Qorinul Huda Puput Budi Aji

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

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

Dateibeschreibung: application/pdf

Zugangs-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

Autoren: E.A. Idowu O.A. Odeniyi

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

Performance Analysis of Diabetes Disease Prediction Using Machine Learning Classification Algorithms

Autoren: Pawan Kumar Jaishree Jain Neeharika Tripathi et al.

Quelle: 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

Autoren: Deepika Yadav N. P. Singh

Quelle: 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

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

Quelle: 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

Autoren: Arvind Dagur Dhirendra Kumar Shukla Sambit Satpathy

Quelle: Intelligent Computing and Communication Techniques ISBN: 9781003530176

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

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

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

Schlagwörter: 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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/96c3bd2cf80d4d4ab2b3a7c4846a4b2e

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

Autoren: Srinivasu Badugu B. Ravikiran

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

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

Autoren: Maria Yu. Oreshkova Alexandr V. Butorin

Quelle: Geoinformatika. :21-29