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Konstantinos Gratsos , Stefanos Ougiaroglou and Dionisis Margaris
Partition-based clustering is widely applied over diverse domains. Researchers and practitioners from various scientific disciplines engage with partition-based algorithms relying on specialized software or programming libraries. Addressing the need to b...
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Chintan M. Bhatt, Parth Patel, Tarang Ghetia and Pier Luigi Mazzeo
The diagnosis and prognosis of cardiovascular disease are crucial medical tasks to ensure correct classification, which helps cardiologists provide proper treatment to the patient. Machine learning applications in the medical niche have increased as they...
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Faria Ferooz, Malik Tahir Hassan, Sajid Mahmood, Hira Asim, Muhammad Idrees, Muhammad Assam, Abdullah Mohamed and El-Awady Attia
To reduce crime rates, there is a need to understand and analyse emerging patterns of criminal activities. This study examines the occurrence patterns of crimes using the crime dataset of Lahore, a metropolitan city in Pakistan. The main aim is to facili...
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Eunseo Kwon, Sungwon Jung and Jaewook Lee
Crime prediction research using AI has been actively conducted to predict potential crimes?generally, crime locations or time series flows. It is possible to predict these potential crimes in detail if crime characteristics, such as detailed techniques, ...
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Michael K. Ng; Mark Junjie Li; Joshua Zhexue Huang; Zengyou He
Pág. 503 - 507
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