NEW CROWN-ETHER DIBENZO-18-CROWN-4 LIGAND VIA SEQUENTIAL ONE-POT REACTION


A Deep Learning Network with Aggregation Residual Transformation for Human Activity Recognition Using Inertial and Stretch Sensors

With the rise of artificial intelligence, sensor-based human activity recognition (S-HAR) is increasingly being employed in healthcare monitoring for the elderly, fitness tracking, and patient rehabilitation using smart devices.Inertial sensors have been commonly used for S-HAR, but wearable devices have been demanding more comfort and flexibility

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Sensitive analysis of meteorological data and selecting appropriate machine learning model for estimation of reference evapotranspiration

Abstract This study applies three methods, Gene Expression Programming (GEP), M5 tree (M5T) model and optimized Artificial Neural Network by Genetic Algorithm (ANN-GA) for estimation of reference evapotranspiration in Ahvaz and Dezful in the southwest of Iran.Comparison between TOFU SHIR FETTUCCINE NOODLES results of the FAO Penman-Monteith (FPM) m

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