Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Abstract: The increasing use of unmanned aerial vehicles (UAVs) highlights the need for robust classification systems. This study explores the impact of noise on UAV classification accuracy using ...

Ashutosh Agarwal is a specialist who connects analytics with practical strategy, who stands out in the era of digital ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Court documents reveal the lawsuit targets tech titans OpenAI, Google, Meta, Anthropic, xAI, and Perplexity AI.

Introduction: In recent years, advancements in machine learning and electronic stethoscope technology have enabled high-precision recording and analysis of lung sounds, significantly enhancing ...

Abstract: Image classification is one of the central research in machine learning that has wide application in many fields. Many factors can adversely impact the classification accuracy, including ...

1 Department of Computer Science, Rutgers University, New Brunswick, NJ, USA. 2 Department of Computer Science, Rochester Institute of Technology, Rochester, NY, USA. This paper presents a ...

Accuracy and precision are often confused, but they represent distinct concepts in measurement and data analysis. This presentation will explore their differences using Python examples. Accuracy ...