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One such serious problem in machine learning (ML) is imbalanced datasets. Minority class samples are usually sparse but hold significant meaning. The model can become biased toward the majority class due to unbalanced cl...

Tumors are a deadly condition often triggered by a range of abnormal modifications and genetic abnormalities. Early tumor diagnosis is essential due to the highly concerned nature of the disease. Early detection and trea...

The current Intraperitoneal Underlay Mesh (IPUM), previously referred to as IPOM (onlay), initially faced several challenges due to design and methodological shortcomings, particularly with the use of a bridging techniqu...

Artificial intelligence (AI), machine learning (ML), and advanced computing techniques are now central to the digital transformation journey, reshaping industries, academia, and society. This special issue of the Journal...

The foremost task in agriculture is the decisive identification of citrus plants and the timely identification of diseases in the plants with the aim of improving the quality of crops and the yield. In this work, a machi...

In addition to its strictly legal meaning, which is a subject of debate among legal scholars, the state of exception can be seen as a philosophical concept. The political philosophy approach does not just provide a genea...