Results 31 to 40 of about 9,650,037 (303)
Simulation of corruption in hierarchical systems [PDF]
Компьютерные исследования и моделирование, 2014 Simulation model of corruption in hierarchical systems which takes into account individual strategies of elements and collective behavior of large groups is proposed.
Dmitry Sergeevich Faller +2 more
doaj +1 more source
Hierarchical fuzzy deep learning system for various classes of images
Memories - Materials, Devices, Circuits and Systems, 2023 There has been an increasing interest in the development of deep-learning models for the large data processing such as images, audio, or video. Image processing has made breakthroughs in addressing important problems such as genome-wide biological ...
Shashank Kamthan, Harpreet Singh
doaj +1 more source
On hierarchically developing reactive systems
Information and Computation, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhan, Naijun, Majster-Cederbaum, Mila
openaire +4 more sources
Two-Level System of on-Line Risk Assessment in the National Cyberspace
IEEE Access, 2020 The paper presents a hierarchical, two-level approach to on-line cyber risk assessment at the national level. It takes into account cyber threats and vulnerabilities identified at the lower level formed by essential service operators and digital service ...
Andrzej Karbowski, Krzysztof Malinowski
doaj +1 more source
Deep learning for network intrusion: A hierarchical approach to reduce false alarms
Intelligent Systems with Applications, 2023 Computer networks form much of the infrastructure supporting day-to-day life in this digital age. Computer networks, however, are prone to attack and therefore require intrusion detection systems. Intrusion detection systems provide a mechanism to detect
Samuel J. Moore +5 more
doaj +1 more source
Generalised verification of the observer property in discrete event systems [PDF]
, 2012 The observer property is an important condition to be satisfied by abstractions of Discrete Event Systems (DES) models. This paper presents a generalised version of a previous algorithm which tests if an abstraction of a DES obtained through natural ...
Pena, Patricia N. +4 more
core +1 more source
Drawing-Aware Parkinson’s Disease Detection Through Hierarchical Deep Learning Models
IEEE AccessParkinson’s disease (PD) is a chronic neurological disorder that progresses slowly and shares symptoms with other diseases. Early detection and diagnosis are vital for appropriate treatment through medication and/or occupational therapy, ensuring ...
Ioannis Kansizoglou +3 more
doaj +1 more source
Hierarchically consistent control systems [PDF]
Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171), 2000 Large-scale control systems, such as intelligent vehicle highway systems and air traffic management systems are systems of very high complexity. In order to reduce complexity, the system architecture is usually designed to have a hierarchical structure.
Pappas, George J +2 more
openaire +4 more sources
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
FEBS Letters, EarlyView.Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
Sequential Hierarchical Pattern Clustering [PDF]
, 2009 Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all pairwise distances between patterns must be computed in advance.
Niranjan, Mahesan +2 more
core +2 more sources