This research presents the real-time implementation of discrete PI and PID control algorithms on a Heater System, with the system model identified through open-loop experiments using the Scilab platform. A First-Order...
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People still want the fastest and most effective answers, even as technology improves. Since the advent of cloud computing and its multiple substructures, many algorithms have been proposed to improve the presentation...
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作者:
Wanjari, KetanVerma, Prateek
Department of Computer Science and Engineering Faculty of Engineering and Technology Maharashtra Wardha442001 India
Department of Artificial Intelligence and Data Science Faculty of Engineering and Technology Maharashtra Wardha442001 India
Modern image recognition has experienced dramatic improvements because of Machine Learning and Deep Learning algorithms together. This study investigates CNNs and SVMs for recognition enhancement while reviewing image...
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Efficient food spoilage detection systems are important to limit the economic damage as the world's food consumption rises not only that it minimize losses and guarantee the safety of food. In our research paper w...
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In this paper, we propose a reconfigurable framework optimized for resource-constrained platforms to accelerate CNNs using the high concurrency and data-proximate characteristics of edge computing devices. The framewo...
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The several countries of the world is intensified their investigative on the fifth generation and beyond (5GB) communications in order to reach the new requirements for new wireless applications. In this context, orth...
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This paper surveys the landscape of the AI model approaches and algorithms that have been in use in recommendation systems, which have become an essential requirement in enriched user experiences, ranging from e-comme...
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The paper presents a programmable (using a 1-bit signal) digital gate that can operate in one of two OR or AND modes. A circuit of this type can also be implemented using conventional logic gates. However, in the case...
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This study presents an optimized machine learning-driven profit forecasting model tailored for the backup clamps of transmission line conductors and ground wires, critically enhancing the financial planning in power t...
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Adaptive biased optical orthogonal time frequency space (ABO-OTFS) faces challenges in achieving optimal spectral efficiency due to the presence of unused Doppler bins within the system. To address this, we propose tw...
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