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A Comprehensive Review on Sparse Representation and Compressed Perception in Optical Image Reconstruction
This review explores the integration of sparse representation and compressed perception in optical image reconstruction. Beginning with an in-depth...
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Multicultural data assistance mining analysis for ideological and political education in smart education platforms using artificial intelligence
The rapid growth of Internet technology has significantly expanded university students’ prospects with information opportunities. In the age of big...
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The Application of 6G and Augmented Reality Technology in Education and Training
The short evolution of 6G and augmented reality (AR) technology heralds a transformative era in education and training, promising to redefine...
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Revolutionizing Education: Advanced Machine Learning Techniques for Precision Recommendation of Top-Quality Instructional Materials
The integration of educational technology in the modern classroom has transformed the way students learn yet challenges in providing high-quality...
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A novel learning framework for vocal music education: an exploration of convolutional neural networks and pluralistic learning approaches
Technology has influenced education, business, and communication in the last several years, changing many facets of human existence. Many industries...
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Techniques for the Representation of the Application of Historical-Archaeological Evidence Scales in Heritage Assets
At the beginning of the discipline, archaeology as a scientific subject was understood thanks to the archaeological drawing, or what is the same, to...
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Evaluation of Deep Clustering for Assessing Undergraduate Understanding in Ideological and Political Education: Data-Driven Analytics
Assessing undergraduate students’ understanding of ideological and political education is vital for effective teaching and curriculum improvement....
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Reduced-order representation and reconstruction of non-stationary flow system using flow-time-history deep learning
A representation and reconstruction model for the time-variant flow features of non-stationary flow system is proposed. Different from snapshot-based...
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Current Gaps and Mismatches Between Rail Higher Education Provision and Industry Expectations
The expectations of railway companies are not always aligned with the skills and abilities that university graduates bring when finishing their...
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Piecewise linear representation of pressure wave data of high-speed trains traveling through tunnels
Piecewise linear representation (PLR) techniques have been widely adopted to recharacterize high-dimensionality time series data in numerous fields...
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Fuzzy Neural Network Model for Intelligent Course Development in Music and Dance Education
Interactions are mandatory for online or offline music and dance education to improve understandability and learning efficacy. The course designed...
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Twi Speech Processing: Techniques and Applications
Twi, also known as Akan, is a language spoken in Ghana, specifically by the Akan people. It is one of the principal languages of the Akan group,...
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Stratospheric platform applications: reduced cognitive load for multimedia and education
The proliferation of computing solutions in future communication networks leads to the occurrence of cognitive visual overstimulation (CVO). CVO...
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Education Institutions: Artificial Intelligence and Blockchain Higher
The decentralized and safe structure of open data is made possible by the unique and develo** technology known as blockchain. The digital...
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Knowledge Representation and Information Retrieval from Ontologies
The Ontology is an emerging domain that assists is intelligent decision making and connects various users, thereby facilitating a way of presenting...
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Enhancing the college and university physical education teaching and learning experience using virtual reality and particle swarm optimization
Physical education is experiencing a significant transformation due to cutting-edge technologies such as artificial intelligence (AI), machine...
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A Neoteric Parametric Representation and Classification of ECG Signal
In the last 20 years, most of the human demise have been due to improper functioning of the heart. ECG is a very essential, initial clinical test for...
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Extraction method of typical IEQ spatial distributions based on low-rank sparse representation and multi-step clustering
Indoor environment quality (IEQ) is one of the most concerned building performances during the operation stage. The non-uniform spatial distribution...
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Evaluating the innovation and entrepreneurship education in colleges using BP neural network
In recent years, there has been a notable upswing in the realm of innovation and entrepreneurship education for Chinese students, leading to...
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Linear adversarial vector modeling based intrusion detection using feature subset selection and representation methods
Intrusion detection is a network security technique that discovers unknown threats from internet traffic. Some existing methods provide solutions to...
