Titlebook: Applied Computing to Support Industry: Innovation and Technology; First International Mohammed I. Khalaf,Dhiya Al-Jumeily,Alexei Lisitsa C

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https://doi.org/10.1007/978-3-030-79363-0 data and deep learning have been discussed and explored highly in recent years due to its capability to detect certain features in smart ways. Whilst, crop disease that attack leaves can be cured if farmer detects the early symptoms and avoid the spreading of the disease. This paper presents the ca

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Engineering Open-Source Medical Devicesation. Automatic text summarization is a solution to such problems of information overload. Text summarization is the process of generating a single document summary from a set of documents or from a single document. This paper proposes a method based on the VIseKriterijumska Optimizacija I Kompromi

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https://doi.org/10.1007/978-3-540-36808-3etermine the political orientation of an article automatically can be beneficial in many areas from academia to security. However, the sentiment classification of web log posts (political web log posts in particular), is apparently more complex than the sentiment classification of conventional text.

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Applications of Microwave Holography,he characteristic of the estimated signals. Therefore, several algorithms have been suggested to estimate the main aspects of these signals. This paper presents a comparative evaluation of dynamic phasor estimation algorithms, namely the linear Kalman and extended Kalman filter. Many tests have been

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https://doi.org/10.1007/978-0-387-75724-7udies have evaluated face, ocular and finger modalities for mobile user authentication. Human eyebrow is among the less explored traits for mobile biometric use cases where device front facing cameras can easily scan them. A handful of studies suggest the potential of human eyebrows for person authe