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Syed Safdar Hussain and Syed Sajjad Haider Zaidi
This study introduces a novel predictive methodology for diagnosing and predicting gear problems in DC motors. Leveraging AdaBoost with weak classifiers and regressors, the diagnostic aspect categorizes the machine?s current operational state by analyzin...
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Marko Jevtic, Sa?a Mladenovic and Andrina Granic
Due to the everchanging and evergrowing nature of programming technologies, the gap between the programming industry?s needs and the educational capabilities of both formal and informal educational environments has never been wider. However, the need to ...
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Duo Sun, Lei Zhang, Kai Jin, Jiasheng Ling and Xiaoyuan Zheng
Aiming at the imbalance of industrial control system data and the poor detection effect of industrial control intrusion detection systems on network attack traffic problems, we propose an ETM-TBD model based on hybrid machine learning and neural network ...
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Nurul Amelina Nasharuddin,Nur Atasha Khalid,Masnida Hussin
Pág. pp. 55 - 71
Many teaching and learning tools incorporate current technologies for the learners to gain new knowledge thus increasing the efficiency of learning. Some of the technologies adopted in the mobile-based education systems are virtual reality, augmented rea...
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Prodhan Mahbub Ibna Seraj,Hadina Habil,Md. Kamrul Hasan
Pág. pp. 148 - 163
Although extensive research has been carried out to investigate EFL learners? readiness of using smartphone and problems in EFL contexts, there remains a scarcity of evidence on EFL learners? readiness of using smartphone and problems for learning oral E...
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Luca Cappelletti, Tommaso Fontana, Guido Walter Di Donato, Lorenzo Di Tucci, Elena Casiraghi and Giorgio Valentini
Missing data imputation has been a hot topic in the past decade, and many state-of-the-art works have been presented to propose novel, interesting solutions that have been applied in a variety of fields. In the past decade, the successful results achieve...
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Panagiotis Pintelas and Ioannis E. Livieris
During the last decades, in the area of machine learning and data mining, the development of ensemble methods has gained a significant attention from the scientific community. Machine learning ensemble methods combine multiple learning algorithms to obta...
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Khalid Salmi,Hamid Magrez,Hanane Sefraoui,Abdelhak Ziyyat
Pág. pp. 78 - 88
The teaching of transmission line theory in electrical engineering courses must be tailored to an audience which is increasingly reluctant to adhere to abstract disciplines. In our opinion, the best solution to make transmission line courses more attract...
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Zongsheng Wu and Ru Xue
After the teaching?learning-based optimization (TLBO) algorithm was proposed, many improved algorithms have been presented in recent years, which simulate the teaching?learning phenomenon of a classroom to effectively solve global optimization problems. ...
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Akerke Akanova,Nazira Ospanova,Yevgeniya Kukharenko,Gulmira Abildinova
Pág. 26 - 32
The issue of semantic text analysis occupies a special place in computational linguistics. Researchers in this field have an increased interest in developing an algorithm that will improve the quality of text corpus processing and probabilistic determina...
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