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VLSI realization of hybrid fast fourier transform using reconfigurable booth multiplier
A discrete fourier transform (DFT) of a series of samples may be quickly and efficiently computed with the use of a mathematical procedure known as...
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Improving predictive performance in e-learning through hybrid 2-tier feature selection and hyper parameter-optimized 3-tier ensemble modeling
The paper presents a new feature selection technique developed in detail here to address improved prediction accuracy not only for the...
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Graph neural ordinary differential equations for epidemic forecasting
Develo** a practical model for predicting the dynamics of epidemic spread is critical, the results of which can be used to evaluate the...
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The meaningfulness gap in AI ethics: a guide on how to think through a complex challenge
Technological outsourcing is increasingly prevalent, with AI systems taking over many tasks once performed by humans. This shift has led to various...
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Virtual node graph neural network for full phonon prediction
Understanding the structure–property relationship is crucial for designing materials with desired properties. The past few years have witnessed...
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A framework for designing software engineering project-based learning experiences based on the 4 C/ID model
Project-based learning (PBL) is a learning technology praised for its ability to grow domain-specific and domain-general skills and related knowledge...
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Proactive personality, interaction, and teaching strategy alignment: A conceptual-level analysis of interaction in distance learning
Based on the instructional interaction principles outlined by Chen and Wang (
2016 ) in third-generation distance learning, this study employs a...
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Designing and evaluating ONCologic EMergencies escape room game for undergraduate nursing students: The ONCEM quasi-experimental pilot study
The present pilot study aimed to develop, implement, and evaluate an escape room game for oncologic emergencies. This quasi-experimental pilot study...
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Exploring the digital divide in primary education: A comparative study of urban and rural mathematics teachers’ TPACK and attitudes towards technology integration in post-pandemic China
This study investigates disparities in Technological Pedagogical Content Knowledge (TPACK) and attitudes towards digital technology integration among...
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Research on satellite link allocation algorithm for Earth-Moon space information network
With ongoing advancements in space exploration and communication technology, the realization of an Earth-Moon space information network is gradually...
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Learning to sculpt neural cityscapes
We introduce a system that learns to sculpt 3D models of massive urban environments. The majority of humans live their lives in urban environments,...
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Integrating metaheuristics and artificial intelligence for healthcare: basics, challenging and future directions
Accurate and rapid disease detection is necessary to manage health problems early. Rapid increases in data amount and dimensionality caused...
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Intelligent Personality Assessment and Verification from Handwriting using Machine Learning
It is possible to tell a lot about a person just by looking at their handwriting. The way someone writes might tell you a lot about who, they are as...
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DMFVAE: miRNA-disease associations prediction based on deep matrix factorization method with variational autoencoder
MicroRNAs (miRNAs) are closely related to numerous complex human diseases, therefore, exploring miRNA-disease associations (MDAs) can help people...
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Progress on half a century of process modelling research in steelmaking: a review
Process modelling in steelmaking started from mid-sixties and witnessed rapid growth and wide spread applications during the last fifty years or so....
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Exploring Brazilian Teachers’ Perceptions and a priori Needs to Design Smart Classrooms
Smart classrooms offer innovative opportunities to enhance teaching and learning. However, most existing research in this field predominantly focuses...
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Application of social justice theory in online learning: A comparison of rural and urban students on perceived learning effectiveness in pre and during COVID-19 era
The current study was conducted to identify the perceived effectiveness of online learning systems for urban and rural students of higher education...
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An initial user model design for adaptive interface development in learning management system based on cognitive load
The cognitive aspect is crucial in develo** interactive and adaptive systems, including learning management systems (LMS). By understanding human...
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Role of Artificial Intelligence in the crime prediction and pattern analysis studies published over the last decade: a scientometric analysis
Crime is the intentional commission of an act usually suspected as socially detrimental and specifically defined, forbidden, and punishable under...
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Certifying Accuracy, Privacy, and Robustness of ML-Based Malware Detection
Recent advances in artificial intelligence (AI) are radically changing how systems and applications are designed and developed. In this context, new...
