In this proposed research are analyzed general solutions and techniques to optimize the solar luminosity measurement by a designed smart system, as well as its usability by the solar energy conversion and its storing....
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This paper portrays a class of local faults, whose basic characteristic is that the fault occurs only when the system is in a certain state domain. In engineering practice, such faults are prevalent and could affect e...
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The present study centres on the application of an all-encompassing methodology for optimizing the parameters of Fluidized Bed Dryer (FBD). First, a dataset with various FBD attributes are subjected to Principle Compo...
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ERTMS and ALSN signalling systems are two of the major signalling systems that are under operation in the world. With the introduction of technical specifications for interoperability, ERTMS promises increased passeng...
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Sliding mode control(SMC)has been studied since the 1950s and widely used in practical applications due to its insensitivity to matched *** aim of this paper is to present a review of SMC describing the key developmen...
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Sliding mode control(SMC)has been studied since the 1950s and widely used in practical applications due to its insensitivity to matched *** aim of this paper is to present a review of SMC describing the key developments and examining the new trends and challenges for its application to power electronic *** fundamental theory of SMC is briefly reviewed and the key technical problems associated with the implementation of SMC to power converters and drives,such chattering phenomenon and variable switching frequency,are discussed and *** recent developments in SMC systems,future challenges and perspectives of SMC for power converters are discussed.
This paper explores the applicability of CycleGAN, to reconstruct as well as improve brain-computer interface (BCI) signals. The experimental protocol used in the study involves a real-world table tennis dataset that ...
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This paper presents Fauno, the first and largest open-source Italian conversational Large Language Model (LLM). Our goal with Fauno is to democratize the study of LLMs in Italian, demonstrating that obtaining a fine-t...
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This paper proposes a novel data-driven finite-time adaptive control method for the spacecraft attitude tracking control problem with inertial uncertainty. Based on the dynamic regression extension technique, the dist...
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In multi-agent reinforcement learning, scalability is a significant challenge. Applying reinforcement learning algorithms in large-scale multi-agent systems requires consideration of algorithm efficiency. This paper a...
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Nowadays there are many research efforts in the field of artificial intelligence applied in all the fields of robotics. There are developed and trained new models both supervised and unsupervised learning. ln order to...
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