In 2016, an airborne laser survey stripped away the dense jungle canopy of northern Guatemala and exposed more than 61,000 ...

This article is authored by AV Arunkumar, director, IFIM Institution.

Astronomers in Arizona turned to artificial intelligence to test out a new method of classifying meteors based on their physical properties and origin.

Quantum exposure cuts across data, supplier contracts, capital allocation, customer commitments, regulatory adequacy and ...

In this milestone year, during the month of June the ABWM Foundation will continue its mission of raising awareness, empowering certified wound care specialists, and transforming lives. “Wound Healing ...

The BBA Annual Meeting is a multidisciplinary conference that brings together burn care professionals from across the UK and beyond to share clinical experience, research, and advances in burn ...

New fabric-based sensor is a rolling-change for existing SBR systems — using richer data to close a safety gap for ...

International Classification of Disease codes are required to verify that medical treatments are necessary and to process ...

Abstract: The decision tree, as an efficient data structure, is commonly used to perform packet classification due to its faster classification speed. During packet classification, all packets need to ...

Abstract: Deep-learning is widely used in modulation classification to reduce labor and improve the efficiency. Graph convolutional network (GCN) is a type of feature extraction network for graph data ...

The classification of traditional patterns is of great significance for their digital protection. Most studies focus on classifying patterns of different categories, while this study addresses the ...

ABSTRACT: This paper presents a comprehensive machine learning approach for credit score classification, addressing key challenges in financial risk assessment. We propose an optimized CatBoost-based ...