Background. The importance of explainable artificial intelligence and machine learning
(XAI/XML) is increasingly being recognized, aiming to understand how information …

Purpose To explore the feasibility and validity of machine learning models in determining
causality in medical malpractice cases and to try to increase the scientificity and reliability of …

Businesses are becoming more interested in developing and testing Large Language
Models (LLMs) in their own settings to support decision-making and growth as a result of the …

This article summarizes principles and ideas from the emerging area of applying\textit
{conditional computation} methods to the design of neural networks. In particular, we focus …

The development and adoption of Vision Transformers and other deep-learning
architectures for image classification tasks has been rapid. However, the “black box” nature …

The advancement of communication and internet technology has brought risks to network
security. Thus, Intrusion Detection Systems (IDS) was developed to combat malicious …

The rapid advancement of artificial intelligence (AI) has significantly impacted various
aspects of healthcare, particularly in the medical imaging field. This review focuses on …

Recent advances in the field of large language models (LLMs) underline their high potential
for applications in a variety of sectors. Their use in healthcare, in particular, holds out …

To achieve the energy transition, energy and energy efficiency are becoming more and
more important in society. New methods, such as Artificial Intelligence (AI) and Machine …

Abstract Machine learning (ML) has been used in human gait data for appropriate assistive
device prediction. However, their uptake in the medical setup still remains low due to their …