Andrew Rice writing for New York magazine, Nov. 18: Last winter, the federal government released the results of its semi-annual reading and math tests of fourth- and eighth-graders, assessments that ...
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 ...
In large public multi-site fMRI datasets, the sample characteristics, data acquisition methods, and MRI scanner models vary across sites and datasets. This non-neural variability obscures neural ...
Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...
Abstract: With the advancement of artificial intelligence, Deep Reinforcement Learning (DRL) has been widely applied to traffic signal control (TSC). However, DRL-based TSC methods often require ...
To continue reading this content, please enable JavaScript in your browser settings and refresh this page. As a mom concerned about the quality of her child's ...
Did you know there is an entire team at Case Western Reserve University dedicated to equipping you with the skills and resources you need to succeed in your classes? Academic Support Resources for ...
Members of the research community at Microsoft work continuously to advance their respective fields. Abstracts bring its audience to the cutting edge with them through short, compelling conversations ...
Heat transfer is a fundamental property of matter. Research spanning decades has attempted to discover materials with exceptional thermal conductivity, yet the upper limit remains unknown. Using deep ...
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