Abstract: Multi-label image classification is a crucial task in computer vision. To improve the classification accuracy of multiple objects within an image, many researchers attempt to construct graph ...
Abstract: Generalized Zero-Shot Learning (GZSL) addresses the challenge of classifying unseen classes in the presence of seen classes by leveraging semantic attributes to bridge the gap for unseen ...
Abstract: Huntington’s disease progression prediction requires analyzing complex interactions between Cytosine, Adenine, Guanine (CAG) repeat expansions and various modifying factors. We present ...
Abstract: Packet classification that attracts wide interests in router designs is one of the most important functionalities to provide services such as QoS, packet forwarding, firewall, and VPN. With ...
Abstract: Plant diseases play a significant role in India by improving agriculture production and food security. Early detection and prediction of plant diseases prevent heavy economic losses and ...
Abstract: Lung diseases, such as asthma, pneumonia, and chronic obstructive pulmonary disease (COPD), pose considerable global health issues, making early diagnosis essential for effective treatment.
Abstract: The Permanent Magnet Synchronous Motor (PMSM) is widely used in industrial production. However, the demagnetization fault of the PMSM significantly affects motor performance, making accurate ...
Abstract: Lung cancer remains a leading cause of cancer-related deaths globally. This study investigates the application of Convolutional Neural Networks (CNNs) for the classification of lung cancer ...
An Advanced Machine Learning Framework for Multi-Label Classification of Heart Disease Complications
Abstract: Heart disease continues to be the foremost cause of mortality across both developed and developing nations, posing a critical public health challenge. This life-threatening condition often ...
Abstract: Multiple Sclerosis (MS) is a chronic and autoimmune disease that causes lesions in the central nervous system. It is diagnosed based on accurate identification and segmentation of lesions in ...
Abstract: This assignment investigates the usage of (CNN) and synthetic neural networks (ANN) for picture classification. We compare the overall performance of these strategies for my part and ...
Fixed-Dimensional Encoding (FDE) solves a fundamental problem in modern search systems: how to efficiently search through billions of documents when each document is represented by hundreds of vectors ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback