Zobrazeno 1 - 10
of 93
pro vyhledávání: '"68-XX"'
Autor:
Safdari, Hadiseh, De Bacco, Caterina
Anomaly detection is an essential task in the analysis of dynamic networks, as it can provide early warning of potential threats or abnormal behavior. We present a principled approach to detect anomalies in dynamic networks that integrates community
Externí odkaz:
http://arxiv.org/abs/2404.10468
Autor:
Ali, Ratul, Islam, Aktarul, Rana, Md. Shohel, Nasrin, Saila, Shajol, Sohel Afzal, Sadi, A. H. M. Saifullah
Acoustic data serves as a fundamental cornerstone in advancing scientific and engineering understanding across diverse disciplines, spanning biology, communications, and ocean and Earth science. This inquiry meticulously explores recent advancements
Externí odkaz:
http://arxiv.org/abs/2402.10005
Autor:
Dong, Zihan, Zhang, ZhengDong
Bloodstain pattern analysis plays a crucial role in crime scene investigations by providing valuable information through the study of unique blood patterns. Conventional image analysis methods, like Thresholding and Contrast, impose stringent require
Externí odkaz:
http://arxiv.org/abs/2308.13979
Tensor factorizations (TF) are powerful tools for the efficient representation and analysis of multidimensional data. However, classic TF methods based on maximum likelihood estimation underperform when applied to zero-inflated count data, such as si
Externí odkaz:
http://arxiv.org/abs/2308.08060
The Fourth Industrial Revolution, particularly Artificial Intelligence (AI), has had a profound impact on society, raising concerns about its implications and ethical considerations. The emergence of text generative AI tools like ChatGPT has further
Externí odkaz:
http://arxiv.org/abs/2308.02030
Autor:
Torongo, Arnaf Aziz, Toorani, Mohsen
Blockchain-based decentralized identity management provides a promising solution to improve the security and privacy of healthcare systems and make them scalable. Traditional Identity Management Systems are centralized, which makes them single-point-
Externí odkaz:
http://arxiv.org/abs/2307.16239
Publikováno v:
Phys. Rev. Research 5, 033084, 2023
Anomaly detection algorithms are a valuable tool in network science for identifying unusual patterns in a network. These algorithms have numerous practical applications, including detecting fraud, identifying network security threats, and uncovering
Externí odkaz:
http://arxiv.org/abs/2302.00504
Autor:
Quer, Jannes, Borrell, Enric Ribera
In this paper the connection between stochastic optimal control and reinforcement learning is investigated. Our main motivation is to apply importance sampling to sampling rare events which can be reformulated as an optimal control problem. By using
Externí odkaz:
http://arxiv.org/abs/2211.02474
Despite the constant evolution of similarity searching research, it continues to face the same challenges stemming from the complexity of the data, such as the curse of dimensionality and computationally expensive distance functions. Various machine
Externí odkaz:
http://arxiv.org/abs/2208.08910
Publikováno v:
International Journal on Advanced Science Engineering Information Technology, 12(3), 2022
Possible for science itself, conceptually, to have and will understand differently, let alone science also seen as technology, such as computer science. After all, science and technology are viewpoints diverse by either individual, community, or soci
Externí odkaz:
http://arxiv.org/abs/2207.07901