Abstract To investigate the applicability and performance of automated machine learning (AutoML) for potential applications in diagnostic neuroradiology.In the medical sector, there is a rapidly growing demand for machine learning methods, but only a limited number of corresponding experts.The comparatively simple handling of AutoML should enable e

Abstract Background Attention-deficit/hyperactivity disorder (ADHD) is the most prevalent psychiatric disorder in children, characterized by inattention, hyperactivity, and impulsivity.This neurobehavioral disorder often persists into adulthood, presenting significant challenges when undiagnosed and untreated, due to potential long-term implication

The exponential growth of the blockchain size ASTRINGENT has become a major contributing factor that hinders the decentralisation of blockchain and its potential implementations in data-heavy applications.In this paper, we propose segment blockchain, an approach that segmentises blockchain and enables nodes to only store a copy of one blockchain se

This paper considers the delay-dependent exponential stability for discrete-time BAM neural networks with time-varying delays.By constructing the new Lyapunov functional, the improved delay-dependent exponential stability criterion is derived Chest Freezer in terms of linear matrix inequality (LMI).Moreover, in order to reduce the conservativeness,

One of the main regional drivers for the development of domestic tourism in our country is the Krasnodar Cream Territory.Taking into account the strategic development of the industry until 2030, there is a significant shortage of personnel for the effective development of domestic tourism in the Krasnodar Territory.As a result, it is possible to fo