A growing number of manufacturing businesses are becoming more concerned with energy efficiency because of rising energy costs and environmental consciousness. The enormous shift of an organization's resource requ...
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With the State attaching great importance to the cultivation of innovative talents, elementary school science education, as a key link in the cultivation of future innovative talents, has received unprecedented attent...
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The proceedings contain 2161 papers. The topics discussed include: a predictive study on the adoption of active learning at HBCUs among engineering faculty;case study: a comparative analysis of teaching modalities in ...
The proceedings contain 2161 papers. The topics discussed include: a predictive study on the adoption of active learning at HBCUs among engineering faculty;case study: a comparative analysis of teaching modalities in thermodynamics;complete evidence-based practice: analysis of machine vision in a first-year engineering project;effects of using computer-aided drawing programs to implement sustainable engineering design principles on first-year engineering students;international research for undergraduate students in Cali and Cartagena Colombia, 2009 TO 2019;(multi-disciplinary) teamwork makes the (real) dream work: pragmatic recommendations from industry for engineering classrooms;(re)visions: approaches to teaching technical communications and professional development in a multidisciplinary engineering capstone course;a case study of integrating leadership competencies in a global engineering design course: a work in progress;and a case study of student-community interaction through an education-first assistive device design class.
In the realm of machine learning, addressing class imbalance is a prevalent challenge, especially in datasets where certain classes are underrepresented. Synthetic Minority Over-sampling Technique (SMOTE) emerges as a...
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Sketch education is an essential component of arts education. In recent years, with the development of society, the demand for sketch courses has been steadily increasing. However, the existing teaching resources are ...
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In this paper, we provide a detailed examination of energy consumption within specific sections of the Pecan Street Data Set. We employ two primary method-ologies: the Additive Factorial Approximate MAP (AFAMAP) algor...
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The convolutional neural network (CNN) is widely utilized in computer vision due to its ability to effectively harness correlation information within data. However, when the data's dimensionality or the model'...
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Exponential growth of Internet and social media during the past few decades has helped the users to pass any information without even analyzing. Out of these many are fake information which has got no authenticity and...
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Quantum computing are breakthroughs aimed to revolutionize several sectors, although they also present considerable cybersecurity threats. Quantum computers can manage quite greater quantities of information than the ...
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Cloud computing contains lots of processing power and storage. Cloud computing and machine learning (ML) techniques enable large-scale data processing. The enhanced ML-based categorization technique is established in ...
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