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Fatemeh Parikhani, Ehsan Atazadeh, Jafar Razeghi, Mohammad Mosaferi and Maxim Kulikovskiy
This work is the first in a series, and its purpose is the comprehensive assessment of the ecological state of the Aras River using biological indicators of water quality by diatoms based on species? ecological preferences, pollution indices, statistics,...
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Tarek Berghout, Mohamed-Djamel Mouss, Leïla-Hayet Mouss and Mohamed Benbouzid
Machine learning prognosis for condition monitoring of safety-critical systems, such as aircraft engines, continually faces challenges of data unavailability, complexity, and drift. Consequently, this paper overcomes these challenges by introducing adapt...
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Ali Abasi and Ayan Sadhu
The monitoring and maintenance of existing civil infrastructure has recently received worldwide attention. Several structural health monitoring methods have been developed, including time-, frequency-, and time?frequency domain methods of modal identific...
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Yulia Dyulicheva
Pág. 18 - 23
The study of the mental health of society and the automatic detection of various types of disorders based on text analysis is one of the priority areas of e-health. The empirical investigation of the various anxieties and their causes in the pandemic per...
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Isha Kharub, Michael Lwin, Aila Khan, Omar Mubin and Suleman Shahid
This exploratory study examines the effectiveness of social robots? ability to deliver advertising messages using different ?appeals? in a business environment. Specifically, it explores the use of three types of message appeals in a human-robot interact...
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