Ongoing life in public spaces where people from all ages and segments of society interact, is a lifestyle especially in Mediterranean societies.The question of how and in which direction the importance of public spaces in our lives will change after the Covid 19 pandemic has formed the starting point of this study.With this study, it was aimed to a
Double-Condensing Attention Condenser: Leveraging Attention in Deep Learning to Detect Skin Cancer from Skin Lesion Images
Skin cancer is the most common type of cancer in the United States and is estimated to affect one in five Americans.Recent advances have demonstrated strong performance on skin cancer detection, as exemplified by state of the art performance in the SIIM-ISIC Melanoma Classification Challenge; however, these solutions leverage ensembles of complex d
Entropy-Based Behavioral Closeness Filtering Chaotic Activity Method
In the era of big data, one of the key challenges is to discover process models and gain insights into business processes by analyzing event data recorded in information systems.However, Chaotic activity or infrequent behaviors often appear in actual event logs.Process models containing such behaviors are complex, difficult to understand, and hide
From the earth of Africa: Q research in South Africa
As the title indicates, this article traces the history of Q research PLC in South Africa.It focuses on South African scholars who have made worthwhile contributions to our understanding and knowledge of the Sayings Gospel Q.An attempt is ultimately made to detect some trends in this regard.One significant finding perhaps worth mentioning in the ab