Emerging non-volatile memory technologies provides a solution to break through the limitations of the vonNeumann architecture and using these technologies to develop logic-in-memory circuits. In this paper, we propose...
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Cancer detection and predetection are being highly researched and studied recently due to the high density spread of this disease. It occurs when abnormal cells divide continuously without limitation where it can spre...
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In today's modern world, efficient programming is a necessity. To speed up code generation nowadays, programming code is generated using different graphical tools. Although efficient, this technology is scarcely u...
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This paper presents a study which examines the pedagogical-interactional dimensions in computerscience education at universities of applied sciences, focusing on the expectations and perceptions of students and profe...
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The Internet of Things (IoT) has turned the healthcare domain in a better direction due to more interconnected and smarter systems that enhance care delivery. Certainly, the IoT-accessible applications in these fields...
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Epilepsy is a common neurological disease which is sudden and unpredictable. In response to the current problems of low efficiency and high false detection rate in epilepsy detection, this paper proposes an efficient ...
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Digital image quality is essential for a variety of applications in visual information processing, including medical diagnostics, defence, and many other applications. However, there are several challenges that must b...
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Immeasurable efforts have been put into strengthening energy security and reducing greenhouse gas emissions by meeting growing energy demand. With declining costs and increasing performance, the deployment of PV syste...
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Skin tones come in a diverse range of shades and are often necessary for various computer vision tasks. While skin detection is a well-studied focus, skin tone classification is not. Most works also use the Fitzpatric...
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