In a study conducted at the University of Helsinki, AI was trained to classify bird sounds with increasing accuracy. The ...

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: Using machine learning applied to multimodal physiological data allows the classification of cognitive workload (low, moderate, or high load) during task performance. However, current ...

The Iris Flower Classification project is an interactive web application that predicts the species of Iris flowers based on their physical characteristics. This project demonstrates the complete ...

Recently, Aircela, a fuel company headquartered in New York, publicly demonstrated a machine in Manhattan that produces gasoline directly from air. The event attracted city and state officials, ...

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 ...

Advanced deep learning solution for flower classification using transfer learning with EfficientNet-B0. Achieves 90.23% accuracy on 102 flower species from Oxford Dataset. Lightweight (17.9MB) model ...

Abstract: Flowers are abundantly present in our surroundings and serve as nourishment for various insects, birds, animals, and humans. Additionally, they possess medicinal properties that are ...