Changing teaching techniques and adapting new technologies to improve student learning in an introductory meteorology and climate course

Responding to the call for reform in science education, changes were made in an introductory meteorology and LED Charge Wire climate course offered at a large public university.These changes were a part of a larger project aimed at deepening and extending a program of science content courses that model effective teaching strategies for prospective

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Generative-Adversarial-Network-Based Image Reconstruction for the Capacitively Coupled Electrical Impedance Tomography of Stroke

This study investigated the potential of machine-learning-based stroke image reconstruction in capacitively coupled electrical impedance tomography.The quality of brain images reconstructed using the adversarial neural network (cGAN) was examined.The big data required for supervised network training were generated using a two-dimensional numerical

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