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Titlebook: Radioactive Particles in the Environment; Deborah H. Oughton,Valery Kashparov Conference proceedings 20091st edition Springer Science+Busi

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Vasyl Yoschenko,Valery Kashparov,Svyatoslav Levchuk,Semen Lundin,Valentin Protsak,Yuri Khomutinin,Olthat can assist physicians in early diagnosis of diseases. Algorithms in Machine Learning provide the ways to classify data efficiently, at great speed and with high accuracy. Many types of machine learning algorithms are widely adopted and implemented for the early detection of various diseases; th
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Sven P. Nielsen,Per Roos,Henning Dahlgaard,Svend K. Olsen,Jussi Jernström,Mats Eriksson and energy usage as time goes on. The inability to monitor and control home appliances from afar is a significant contributor to wasted energy. Since the advent of advanced technologies and readily available services, people have substantially shifted their views on what a home ought to have the op
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Viachaslau Zabrotski,Aliaksandr Dutau,Yuri Bondare altered genes, thereby facilitating easy diagnosis and classification of the genetic-related diseases. However, predicting and identifying cancer types is a great challenge in the medical field. Gene expression microarray contains information that can help in this regard, but microarray data have
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Marina Zhurba,Valery Kashparov,Noureddine Ahamdach,Brit Salbu,Vasyl Yoschenko,Svyatolslav Levchukce (BI). BD and Artificial Intelligence are one of the fundamental pillars of Industrial Revolution (IR) 4.0. IR 4.0 demands real time BD analytic for prediction and classification. Due to complex characteristics of BD (5 V’s), BD analytics is considered a difficult task in offline mood. However, in
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Nathalie Van Meir,Dimitry Bugaï,Valery Kashparove altered genes, thereby facilitating easy diagnosis and classification of the genetic-related diseases. However, predicting and identifying cancer types is a great challenge in the medical field. Gene expression microarray contains information that can help in this regard, but microarray data have
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