Titlebook: Deep Learning and Visual Artificial Intelligence; Proceedings of ICDLA Vishal Goar,Aditi Sharma,M. Firoz Mridha Conference proceedings 2024

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Alexander Pundt,Friedemann W. Nerdingerechniques. However, the classification by human experts is error-prone and subjective. Therefore, automated computer-assisted procedures are required to obtain reproducible and objective results. In this paper, a new approach for classifying marble types is proposed based on their texture features e

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,Lösung: Altern zur Chefsache machen, which includes many fields of medicine. AI holds many techniques to analyze the data, handle the data, recognize patterns, and extract meaningful answers. The amount of gastroenterology literature devoted to the application of artificial intelligence has significantly increased. AI techniques in me

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,Führung im organisationalen Kontext,straction, data analysis, and algorithms by CT is essential to the development of solutions. Its importance in the STEM fields—science, technology, engineering, and mathematics—is crucial, especially in light of the impending Industry 4.0. CT has become a vital skill in higher education due to the g

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,Grundsätze und Konzepte für Führung,e potential consequences of this outcome can be mitigated through the skillful identification of correlated risk factors and the implementation of behavioral intervention strategies. The prioritization of health behavior modifications is of utmost importance in mitigating the likelihood of life-thre

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Rudolf Lütke Schwienhorst,Heike Nettelbeckment. However, their limited resources and size make them vulnerable to the cybercriminals who seek to find ways of compromising their cybersecurity defenses. As such, by embracing various technologies that will enhance their competitive edge; SMEs expose themselves increasingly to growing threats o

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Matthias Schmidt,Jan Hendrik Quandtown to be most smart technology in healthcare system that specifies the intensifying density. In order to extract unseen patterns and corresponding important information from high quantity of data, which traditional analysis are unable to do in realistic length of time, ML methods are utilized. Deep