Anar Israfilov Wins a 2025 Global Recognition Award for Bridging AI Research and Enterprise Cybersecurity

Anar Israfilov, founder of Cyberoon Enterprise, merges artificial intelligence with cybersecurity to help organizations ...
IEEE

Enhanced Dual-Pattern Matching With Vision-Language Representation for Out-of-Distribution Detection

Abstract: Out-of-distribution (OOD) detection presents a significant challenge in deploying pattern recognition and machine learning models, as they frequently fail to generalize to data from unseen ...
Frontiers

Machine learning technique for the identification of two-phase (oil-water) flow patterns through pipelines

1 School of Mechanical Engineering, Universidad Industrial de Santander, Bucaramanga, Colombia 2 Industrial Multiphase Flow Laboratory (LEMI), Mechanical Engineering Department, São Carlos School of ...
Scientific Research Publishing

Bishop, C. (2006) Pattern Recognition and Machine Learning. Springer.

ABSTRACT: This study presents a comparative analysis of machine learning models for threat detection in Internet of Things (IoT) devices using the CICIoT2023 dataset. We evaluate Logistic Regression, ...
Frontiers

Classification of neurodegenerative diseases using brain effective connectivity and machine learning techniques: a systematic review

Department of Preventive Medicine, College of Basic Medicine and Forensic Medicine, Henan University of Science and Technology, Luoyang, China Background: Effective connectivity (EC) refers to the ...
IEEE

Improving Unimodal sEMG-Based Pattern Recognition Through Multimodal Generative Adversarial Learning

Abstract: Surface electromyography (sEMG)-based pattern recognition system is a kind of instrumentation and measurement system that captures, processes, and recognizes bioelectrical signals, like ...
C&EN

Unsupervised Machine Learning-Based Image Recognition of Raw Infrared Spectra: Toward Chemist-like Chemical Structural Classification and Beyond Numerical Data

Recent advances in artificial intelligence have significantly improved spectral data analysis. In this study, we used unsupervised machine learning to classify chemical compounds based on infrared (IR ...
Scientific Research Publishing

Bishop, C.M. (2020) Pattern Recognition and Machine Learning. Springer.

ABSTRACT: The growing need for sustainable energy solutions has driven the integration of Artificial Intelligence (AI) into renewable energy systems, enabling the optimization of resource utilization, ...