MANAGEMENT OF A SUPERNUMERARY TOOTH FUSED TO THE LABIAL SURFACE OF A PERMANENT MAXILLARY CENTRAL INCISOR


Brain Computer Interface Learning for Systems Based on Electrocorticography and Intracortical Microelectrode Arrays

A brain-computer interface (BCI) system transforms neural activity into control signals for external devices in ventilationstejp real time.A BCI user needs to learn to generate specific cortical activity patterns to control external devices effectively.We call this process BCI learning, and it often requires significant effort and time.Therefore, i

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Is bigger always better? A controversial journey to the center of machine learning design, with uses and misuses of big data for predicting water meter failures

Abstract In this paper, we describe the design of a machine learning-based classifier, tailored to predict whether a water meter will fail or need a replacement.Our initial attempt to train a recurrent deep neural network (RNN), based on the use of 15 million of readings gathered from 1 million of mechanical water meters, spread throughout Northern

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Mapping malaria vectors and insecticide resistance in a high-endemic district of Haryana, India: implications for vector control strategies

Abstract Background Achieving effective control and elimination of malaria in endemic regions necessitates a comprehensive understanding of local mosquito species responsible for malaria transmission and their susceptibility to insecticides.Methods The study was conducted in acure face lotion the highly malaria prone Ujina Primary Health Center of

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