Abstract: This study investigates the design of reward functions for deep reinforcement learning-based source term estimation (STE). Estimating the properties of unknown hazardous gas leakage using a ...
In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...
Understand what activation functions are and why they’re essential in deep learning! This beginner-friendly explanation covers popular functions like ReLU, Sigmoid, and Tanh—showing how they help ...
Introduction: The COVID-19 pandemic accelerated global online education, which faces “shallow learning” challenges. Deep learning is key to student competencies. Based on sociocultural theory, this ...
1 State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu, China 2 College of Geophysics, Chengdu University of Technology, Chengdu, China ...
Abstract: Deep learning-based approaches to metal artifact reduction have recently been proposed, yet these methods still struggle to effectively remove metal artifacts in head and neck computed ...
Eric Dane is making sure to celebrate the big and little wins in life after disclosing his ALS diagnosis. Dane, 52, announced in April he was battling amyotrophic lateral sclerosis (ALS), also known ...
As people grow older, it’s common to notice small changes in memory or thinking speed. Forgetting names, misplacing items, or struggling to recall information are often seen as natural parts of aging.
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