The development of IOT smart devices has necessitated increasingly stringent requirements for DC power sources in terms of output voltage, size, and cost. For instance, Avalanche Photodiodes (APDs), utilized as photod...
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In this research, we delve into a transformative exploration of the realm of code generation, unveiling three fundamental modules that constitute the backbone of our study: the Text-to-Code Generation Model, Code Auto...
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Traditional firewalls rely on static rule-based mechanisms, where rules are manually defined and often written in specialized languages. While effective to a degree, these rules are inherently limited and can be easil...
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Attention deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder that affects children from childhood to adulthood. The symptoms of ADHD include attention deficit, impulsive behaviour, hyperactivity, a...
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Plant diseases cause substantial losses in crop production, which exerts a major impact on the economic development of agriculture. Early detection of these diseases is inevitable to prevent significant production los...
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Precision medicine is emerging now provides decision making for disease treatment and prevention with the help of genome, environment and lifestyle. This study on precision medicine recommendation system mainly focuse...
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The field of image-to-image translation, particularly in the context of denoising historical text documents, has witnessed significant advancements driven by the application of Generative Adversarial Networks (GANs). ...
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Phishing is a cybercrime activity where the perpe-Trator tricks users into believing that a fraudulent website is authentic, revealing sensitive information. Recently, the frequency of phishing attacks has increased, ...
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This is because in education, evaluation of student data especially in form of feedback cannot be complete without sentiment analysis. The various methods adopted in analysis of sentiments in educational context are d...
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Dermoscopic image analysis has gained significant importance for dermatological applications due to its potential in eliminating observer bias. Segmenting lesion areas automatically in these images is crucial for expe...
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