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Improving requirements elicitation in large-scale software projects with reduced customer engagement: a proposed cost-effective model
Effective requirements elicitation is crucial for the success of large-scale software projects. However, challenges arise when customers are...
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Exploring the dynamics of ICT and globalization on human development in India: asymmetric analysis and policy implications
The present study examines the asymmetrical relationship among globalization (GLB), information communication and technology (ICT), and human...
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Application of neural networks to predict indoor air temperature in a building with artificial ventilation: impact of early stop**
Indoor air temperature prediction can facilitate energy-saving actions without compromising the indoor thermal comfort of occupants. The aim of this...
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Fostering preservice teachers socio-emotional, technological, and metacognitive knowledge (STM-K) using e-portfolios
Preservice teachers often face challenges in develo** Socio-emotional, Technological, and Metacognitive Knowledge (STM-K) due to a lack of...
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Data science career preference of Nigeria University students
This study examined the data science career preference, data science skills, and core competencies of 416 students from fourteen Nigerian...
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Insights into mobile assisted language learning research in Iran: A decade review (2010–2023)
Mobile technologies and the widespread application of mobile devices have become significant in educational settings. Mobile-assisted language...
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Dynamic Market Behavior and Price Prediction in Cryptocurrency: An Analysis Based on Asymmetric Herding Effects and LSTM
This study employs the cross-sectional absolute deviation model and Carhart pricing model to examine the existence and authenticity of various market...
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Analyzing processing time and load factor: 5-node mix network with ElGamal encryption and XOR shuffling
To provide anonymous communication, this paper proposes the implementation of a 5-node mix network using ElGamal encryption and XOR Shuffling. An...
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Is Default Risk Contagious? Evidence from Global Energy Leaders and Environmentally Conscious Energy Firms
We examine the default risk spillover for two groups of global energy firms, including top energy firms from seven different sectors as well as...
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Towards an integrative model of blended design studios: a multiple case study across architecture, design and planning education
Design education embodies distinctive pedagogical practices rooted in experiential learning, frequent interactions between students and instructors,...
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Technological solutions to foster preschool children’s spatial ability: A situational interactive e-book approach
Spatial ability is a significant component of mathematical ability and a foundation for children to master mathematical knowledge. Although many...
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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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Poietic symbiosis or algorithmic subjugation: generative AI technology in marketing communications education
This exploratory study investigates the convergence of marketing communications and AI-powered technology in higher education, adopting a perspective...
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Greek translation, cultural adaptation, and psychometric validation of beginners computational thinking test (BCTt)
Computational thinking (CT) is regarded as a valuable skill set for the students of the 21st century, fostering problem-solving skills applicable to...
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Effective learning with a personal AI tutor: A case study
Effective learning strategies based on principles like personalization, retrieval practice, and spaced repetition are often challenging to implement...
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ChatGPT as an automated essay scoring tool in the writing classrooms: how it compares with human scoring
With the generative artificial intelligence (AI) tool’s remarkable capabilities in understanding and generating meaningful content, intriguing...
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Optimal feature with modified bi-directional long short-term memory for big data classification in healthcare application
Artificial intelligence together with its applications are advancing in all fields, particularly medical science. A considerable quantity of clinical...
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Research of Dempster-Shafer’s Theory and Ensemble Classifier Financial Risk Early Warning Model Based on Benford’s Law
Previous research endeavors aimed at enhancing the predictive accuracy of early warning systems for enterprise financial risks have primarily focused...
