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Youngki Park and Youhyun Shin
In this paper, we introduce an efficient approach to multi-label image classification that is particularly suited for scenarios requiring rapid adaptation to new classes with minimal training data. Unlike conventional methods that rely solely on neural n...
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Naseer Ahmed Sajid, Atta Rahman, Munir Ahmad, Dhiaa Musleh, Mohammed Imran Basheer Ahmed, Reem Alassaf, Sghaier Chabani, Mohammed Salih Ahmed, Asiya Abdus Salam and Dania AlKhulaifi
Over the decades, a tremendous increase has been witnessed in the production of documents available in digital form. The increased production of documents has gained so much momentum that their rate of production jumps two-fold every five years. These ar...
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Muhammad Nadeem, Henry Shen, Lincoln Choy and Julien Moussa H. Barakat
Growing obesity has been a worldwide issue for several decades. This is the outcome of common nutritional disorders which results in obese individuals who are prone to many diseases. Managing diet while simultaneously dealing with the obligations of a wo...
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Jingyu Xiao, Jiayu Xu, Chunwei Tian, Peiyi Han, Lei You and Shichao Zhang
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Giuseppe Granato, Alessio Martino, Andrea Baiocchi and Antonello Rizzi
Network traffic analysis, and specifically anomaly and attack detection, call for sophisticated tools relying on a large number of features. Mathematical modeling is extremely difficult, given the ample variety of traffic patterns and the subtle and vari...
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