Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...
The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
Abstract: Competency-based education (CBE) in higher education demands interpretable and scalable tools to monitor student progress. Current studies on CBE have used small samples in short evaluation ...
Introduction The provision of optimal care for older adults with complex chronic conditions (CCCs) poses significant challenges due to the interplay of multiple medical, pharmacological, functional ...
Department of Mathematics and Statistics, University of North Carolina at Charlotte, Charlotte, North Carolina 28223, United States Department of Mathematics, Michigan State University, East Lansing, ...
Abstract: The emergence of machine learning (ML) has led to a transformative shift in software techniques and guidelines for building software applications that support data analysis process ...
The article details how Doordash approached this ML implementation. For the full technical details, refer to the original source.
1 Department of Computer Science, Yaba College of Technology, Lagos, Nigeria. 2 School of Computer Science, University of Hertfordshire, Hartfield, UK. 3 Aberdeen Business School, Robert Gordon ...
Satellite remote sensing is the science of converting raw aerial imagery into actionable intelligence about the built and natural environment. In the context of city planning, this is applied to use ...
ABSTRACT: This study examines the application and characteristics of qualitative research methods in the field of clinical psychology in Japan. While quantitative and single-case studies have been ...
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