Wireless Sensor Networks (WSNs) are essential for many applications, but because of their limited power resources, they confront major energy efficiency difficulties. This research offers a novel approach for improvin...
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This paper focuses on the application of Deep Learning technology to improve the performance of V2X (Vehicle-to-Everything) communication systems. Of the Multiple-input Multiple-output Orthogonal Frequency Division Mu...
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In complex environments, the accuracy and robustness of single-mode optoelectronic sensors in target detection and tracking are often limited. This article proposes an algorithm optimization method that combines multi...
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Predicting customer purchase intent is crucial for modern businesses in order to improve engagement, refine marketing strategies, and increase revenue. Conventional rule-based systems encounter difficulties with dynam...
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Climate change is one of the biggest challenges of the 21st century, with profound environmental, economic, and social impacts. Machine learning (ML) has emerged as a transformative tool to address climate challenges ...
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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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Stroke is a leading cause of mortality and disability worldwide, emphasizing the critical need for early diagnosis and prevention. Machine learning (ML) has demonstrated significant potential in improving stroke predi...
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Air quality monitoring is gaining increasing importance as awareness about the health impacts of air pollution continues to grow. These monitors typically track air pollutants to give users a clearer picture of their ...
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The medicinal plant market faces challenges due to inefficiencies and a lack of transparency. In this paper, a total of 10GB dataset with 10,000 entries, including 15 attributes such as plant name, region, price, and ...
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