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James Oduor Oyoo, Jael Sanyanda Wekesa and Kennedy Odhiambo Ogada
Road traffic collisions are among the world?s critical issues, causing many casualties, deaths, and economic losses, with a disproportionate burden falling on developing countries. Existing research has been conducted to analyze this situation using diff...
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Amna Al-Sayed, Mashael M. Khayyat and Nuha Zamzami
Different data types are frequently included in clinical data. Applying machine learning algorithms to mixed data can be difficult and impact the output accuracy and quality. This paper proposes a hybrid model of unsupervised and supervised learning tech...
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Elie Saad, Marcin Paprzycki, Maria Ganzha, Amelia Badica, Costin Badica, Stefka Fidanova, Ivan Lirkov and Mirjana Ivanovic
There are many areas where conventional supervised machine learning does not work well, for instance, in cases with a large, or systematically increasing, number of countably infinite classes. Zero-shot learning has been proposed to address this. In gene...
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Min Yang, Lingya Cheng, Minjun Cao and Xiongfeng Yan
Recognizing the patterns of road junctions in a road network plays a crucial role in various applications. Owing to the diversity and complexity of morphologies of road junctions, traditional methods that rely heavily on manual settings of features and r...
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Ameer Saleh Hussein,Rihab Salah Khairy,Shaima Miqdad Mohamed Najeeb,Haider Th.Salim Alrikabi
Pág. pp. 24 - 42
The global online communication channel made possible with the internet has increased credit card fraud leading to huge loss of monetary fund in their billions annually for consumers and financial institutions. The fraudsters constantly devise new strate...
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