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Rejath Jose, Faiz Syed, Anvin Thomas and Milan Toma
The advancement of machine learning in healthcare offers significant potential for enhancing disease prediction and management. This study harnesses the PyCaret library?a Python-based machine learning toolkit?to construct and refine predictive models for...
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Shi Feng and John P. T. Mo
Nowadays, fault diagnostics is widely applied under Industry 4.0 to reduce machine maintenance costs, improve productivity, and increase machine availability. However, fault diagnostics are mostly post-mortem. When the fault is identified, it is already ...
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Vidhya V, U. Raghavendra, Anjan Gudigar, Praneet Kasula, Yashas Chakole, Ajay Hegde, Girish Menon R, Chui Ping Ooi, Edward J. Ciaccio and U. Rajendra Acharya
Traumatic Brain Injury (TBI) is a devastating and life-threatening medical condition that can result in long-term physical and mental disabilities and even death. Early and accurate detection of Intracranial Hemorrhage (ICH) in TBI is crucial for analysi...
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Mudassir M. Rashid, Mohammad Reza Askari, Canyu Chen, Yueqing Liang, Kai Shu and Ali Cinar
Artificial intelligence (AI) algorithms can provide actionable insights for clinical decision-making and managing chronic diseases. The treatment and management of complex chronic diseases, such as diabetes, stands to benefit from novel AI algorithms ana...
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Valentina Zaccaria, Amare D. Fentaye, Mikael Stenfelt and Konstantinos G. Kyprianidis
Since aeronautic transportation is responsible for a rising share of polluting emissions, it is of primary importance to minimize the fuel consumption any time during operations. From this perspective, continuous monitoring of engine performance is essen...
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Peter Sheridan, Simon Vosper and Philip Brown
An automated method producing a diagnostic of the severity of lee waves and their impacts on surface winds as represented in output from a high resolution linear numerical model (3D velocities over mountains (3DVOM)) covering several areas of the U.K. is...
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Sofiia Yakubovska, Olena Vysotska, Vladimir Timofeev
Pág. 93 - 99
At present, information technologies (IT) are intensively used all over the world in various sectors, and today medical institutions cannot do without them when organizing the process of medical diagnostic. The IT efficiency is determined by the degree o...
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S. YU. Buryak
Pág. 7 - 20
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S. Yu. Buryak
Pág. 22 - 29
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B. M. Bondarenko
Pág. 7 - 11
The complex use of methods of nondestructive check for the automated diagnostics electromagnetic relays of railway automation the first class reliability is offered. The methods determination of their mechanical parameters are resulted, that allows to ex...
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