Open Citations

Improving the insurance industry: A conceptual framework for applying machine learning based on a systematic literature review

Nikola Medan, Dejana Kresović

Ekonomski signali · 2025

View Citing Source Indexed via Openalex, Opencitations

Improving the Stability of APUF to 100% Without Extra Hardware Overhead for Enhancing the Performance of Security Authentication Protocols

Ziyu Zhou, Pengjun Wang, Gang Li, Shuang Hu, Yuejun Zhang

IEEE Internet of Things Journal · 2025

View Citing Source Indexed via Openalex, Opencitations

Incorporating MFCC Feature Extraction to the Classification of Respiratory Sounds by Machine Learning Algorithms

Muhammad Dimas Erlangga, Mohammad Reza Faisal, Muliadi Muliadi, Fatma Indriani, Dwi Kartini, Kenji Satou

2025

View Citing Source Indexed via Openalex, Opencitations

Industrial Part Faults Prediction for Nonlinearity and Implied Temporal Sequences

Shuyu Zhang, Mengyi Zhang, Cuimei Bo, Cunsong Wang

Processes · 2025

View Citing Source Indexed via Openalex

Innovations in metamaterial and metasurface antenna design: The role of deep learning

Muhammad Kamran Shereen, Xiaoguang Liu, Xiaohu Wu, Salah Ud Din, Ayesha Naseem, Shehryar Niazi, Muhammad Irfan Khattak

Materials Today Electronics · 2025

View Citing Source Indexed via Openalex

Innovative Approaches in Sensory Food Science: From Digital Tools to Virtual Reality

Fernanda Cosme, Tânia Rocha, Catarina Marques, João Barroso, Alice Vilela

Applied Sciences · 2025

View Citing Source Indexed via Openalex

Innovative Electrocardiogram Authentication System by Using Tailor-Made Compact Data Learning

Yi Zhao, Song-Kyoo Kim

International Conference on Computer and Automation Engineering · 2025

View Citing Source Indexed via Openalex, Opencitations

Insights on machine learning applications for the optimization of activated carbon production and utilization

Alivia Mukherjee, Jude A. Okolie, Sydney A. Etchieson

Elsevier eBooks · 2025

View Citing Source Indexed via Openalex

Integrated flood risk-based land use mapping using machine learning and Geospatial technologies: a case study of Baleswar CD block, India

Auroshreeta Arpita, Sk. Mustak, Pritam Mitra, Prosenjit Barman, Pulak Barman, Amol Kumar Garg, Dharmaveer Singh

Discover Cities · 2025

View Citing Source Indexed via Openalex, Opencitations

Integrating Intelligent Web Scraping Techniques in Internship Management Systems: Enhancing Internship Matching

Hyrmet Mydyti, Andrew Ware

Annals of Emerging Technologies in Computing · 2025

View Citing Source Indexed via Openalex, Opencitations

Machine Learning Algorithms - A Review

Citing Works

Improving the insurance industry: A conceptual framework for applying machine learning based on a systematic literature review

Improving the Stability of APUF to 100% Without Extra Hardware Overhead for Enhancing the Performance of Security Authentication Protocols

Incorporating MFCC Feature Extraction to the Classification of Respiratory Sounds by Machine Learning Algorithms

Industrial Part Faults Prediction for Nonlinearity and Implied Temporal Sequences

Innovations in metamaterial and metasurface antenna design: The role of deep learning

Innovative Approaches in Sensory Food Science: From Digital Tools to Virtual Reality

Innovative Electrocardiogram Authentication System by Using Tailor-Made Compact Data Learning

Insights on machine learning applications for the optimization of activated carbon production and utilization

Integrated flood risk-based land use mapping using machine learning and Geospatial technologies: a case study of Baleswar CD block, India

Integrating Intelligent Web Scraping Techniques in Internship Management Systems: Enhancing Internship Matching

Confirm Your Share