The purpose of this paper is to review breast cancer diagnosis methods. Cancer begins in cells, the basic building units of tissue. Sometimes the cell growth process fails, and new cells form when the body does not re...
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The advancement of an economy's innovation capacity is closely tied to the progress in agriculture. Effective plant disease management is crucial for optimizing crop yields and ensuring agricultural sustainability...
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Natural disasters pose major threats to human life and infrastructure, necessitating the speedy and precise calculation of catastrophic data as well as effective alerting mechanisms to mitigate potential losses. Artif...
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作者：
Solainayagi, P.
Department Of Computer Science And Engineering Tamil Nadu Chennai India
Personalized care and continuous patient monitoring are signs of critical care units (ICUs), where the IoT may significantly enhance healthcare delivery. Optimal nutrition plans for ICU patients, taking into account t...
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The practical application of supervised learning algorithms in task assignment systems to improve both efficiency and accuracy in a variety of organizational settings. One subfield of machine learning is called superv...
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With the rapid development of the internet and information technology, the traditional encryption methods suffer from drawbacks such as poor processing capacity and low security, making them vulnerable to attacks. Thi...
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Due to global competition and continuously changing customer demand, manufacturers nowadays face frequent and unpredictable market shifts. Introducing reconfigurability into contemporary manufacturing systems can enha...
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Industry as illustrated by the 2020 India outbreak which aftermath saw more than ninety-seven thousand animal mortalities. The coping strategies assessed in this study are the diagnosis made using artificial intellige...
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Medical imaging is crucial for heart diagnosis, but outdated algorithms and hardware result in delayed processing and low accuracy. Using NVIDIA Clara, a GPU-accelerated platform, the study proposes real-time cardiac ...
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Our research proposes a comprehensive approach to identify duplicate frames in digital videos. It integrates machine learning and signal processing techniques for effective identification. The process begins with pre-...
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