SELECTING OPTIMAL DESIGN OF A HORIZONTAL WELL BY NUMERICAL MODELING


Classifying Unstable and Stable Walking Patterns Using Electroencephalography Signals and Machine Learning Algorithms

Analyzing unstable gait patterns from Electroencephalography (EEG) signals is vital to develop real-time brain-computer interface (BCI) systems to prevent falls and associated injuries.This study investigates the feasibility of classification algorithms to detect walking instability utilizing EEG signals.A 64-channel Brain Vision EEG system was use

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Novel H6 Transformerless Inverter for Grid Connected Photovoltaic System to Reduce the Conduction Loss and Enhance Efficiency

Presence of a transformer in a grid connected photovoltaic system provides galvanic isolation between the photovoltaic panels and the grid.However, it increases the overall cost, makes the circuit bulky and reduces the efficiency of the system.Hence, transformerless inverters have gained significant importance owing to its low cost, light weight an

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