Abstract: In the task of text classification, the method based on large model has gradually replaced base model. However, in the case of insufficient computing resources, fine-tuning operations are ...
Abstract: Depression is most common mental disorder that is affecting approximately 280 million individuals in the world. The stigma and lack of acceptance and awareness is still influencing people ...
Abstract: In wireless communication systems, automatic modulation classification is crucial. In communication applications such as intelligent demodulators, interference detection, and monitoring, ...
Abstract: Skin cancer ranks among ubiquitous malignancies, its prevalence escalating due to ecological shifts and protracted ultraviolet (UV)exposure. This study aims to address the pressing need for ...
Abstract: Parkinson's disease (PD) is a neurodegenerative disorder that needs early and accurate diagnosis for good management. Our approach in this study is to have a hybrid diagnostic framework ...
Abstract: Identification of PCB board defects early in the manufacturing process is crucial, as PCB quality control plays an important role in the electronics manufacturing industry. Defective PCBs ...
Abstract: The approach we offer makes use of CNN, attention methods and SVM to develop a combined framework that reaches higher performance. Attention mechanisms and CNN networks are used by this ...
Abstract: Information retrieval systems require rich semantic text representations to enhance machine learning performance in search tasks. In this study, we present a novel framework that leverages ...
Trump allies text CNN host live, disputing 'reeling' headline after controversial interview with White House chief of staff Susie Wiles. Trump signs order to reclassify marijuana as Schedule III drug ...
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