Predicting the Acceptance of Informal Learning Technologies: A Case of the TikTok Application by Ahmed Al-Azawei, Ali Alowayr

“…Moreover, previous literature focused on the use of structural equation modeling (SEM) to predict technology acceptance, whereas the application of data mining algorithms is rare in this direction of research. …”
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Development and Optimization of the Internet of Things Network for Product Quality Monitoring by U. А. Vishniakou, Hu Zhifeng

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Operational strategies to the mechanical performance assessment of concrete with the neural network and artificial intelligence by Hadi Faghihmaleki, Mehdi Ghadiri

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Interactive Mitigation of Biases in Machine Learning Models for Undergraduate Student Admissions by Kelly Van Busum, Shiaofen Fang

“…Because these issues are intrinsically subjective and context-dependent, creating trustworthy software requires human input and feedback. (1) Introduction: This work introduces an interactive method for mitigating the bias introduced by machine learning models by allowing the user to adjust bias and fairness metrics iteratively to make the model more fair in the context of undergraduate student admissions. (2) Related Work: The social implications of bias in AI systems used in education are nuanced and can affect university reputation and student retention rates motivating a need for the development of fair AI systems. (3) Methods and Dataset: Admissions data over six years from a large urban research university was used to create AI models to predict admissions decisions. …”
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BASSET: Bandpass-adaptive Single-pulse Search Toolkit—Optimized Subband Pulse Search Strategies for Faint Narrowband Fast Radio Bursts by J. H Cao, P. Wang, D. Li, Q. H. Pan, K. Mao, C. H. Niu, Y. K. Zhang, Q. Y. Qu, W. J. Lu, J. S. Zhang, Y. H. Zhu, Y. D. Wang, H. X. Chen, X. L. Chen, J. H. Fang, Y. Feng, H. Gao, Y. F. Huang, J. Li, C. C. Miao, C. W. Tsai, J. M. Yao, S. P. You, R. S. Zhao, Q. Z. Liu, S. M. Weng, S. H. Yew, J. Zhang, L. Zhang, E. Gügercinoğlu, D. K. Zhou, W. W. Zhu

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Detection of fishery techniques (Acadja) and invasive aquatic vegetation in lake Nokoué, Benin, west-Africa, using Sentinel-1 time series data by Metogbe Belfrid Djihouessi, Gildas Tomavo, Priscilla Baltezar, Sajid Pareeth, Djigbo Félicien Badou, Gildas Djidohokpin, Johannes van der Kwast, Danielle Wood, Matin Pepin Aina

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Spatial Downscaling of TRMM Precipitation Data Using an Optimal Subset Regression Model with NDVI and Terrain Factors in the Yarlung Zangbo River Basin, China by Jinping Liu, Wanchang Zhang, Ning Nie

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Intelligent diagnosis and prediction of pregnancy induced hypertension in obstetrics and gynecology teaching by integrating GA by Xiaolan Li, Xiaolan Li, Xiaolan Li, Fen Kang, Fen Kang, Fen Kang, Xiaojing Li, Xiaojing Li, Xiaojing Li

“…TitleAdvanced Diagnosis and Forecasting of Pregnancy-Induced Hypertension in Obstetrics and Gynecology Education through the Integration of Genetic Algorithms.BackgroundPregnancy-induced hypertension represents a critical issue within the fields of obstetrics and gynecology, where precise diagnosis and forecasting are essential for effective management. …”
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Validation of Self-reported Medical Condition in the Taiwan Biobank by Chi-Shin Wu, Le-Yin Hsu, Chen-Yang Shen, Wei J. Chen, Shi-Heng Wang

“…Results: A total of 131,834 participants aged 30–70 years with data from the TWBB and NHI records were included. …”
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Machine learning algorithms to predict khat chewing practice and its predictors among men aged 15 to 59 in Ethiopia: further analysis of the 2011 and 2016 Ethiopian Demographic and... by Mequannent Sharew Melaku, Lamrot Yohannes, Eliyas Addisu Taye, Nebebe Demis Baykemagn

“…Therefore, this study aimed to predict khat chewing practices and their determinant factors among men aged 15 to 59 years in Ethiopia using a machine learning algorithm.MethodsThis study used data from the 2011 and 2016 Ethiopian Demographic and Health Surveys (EDHS). …”
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Robust-fuzzy-probabilistic optimization for a resilient, sustainable supply chain with an inventory management approach by the seller by Fateme Zahra Montazeri, Ali Sorourkhah, Dragan Marinković, Vesko Lukovac

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Prevalence of COVID-19-associated pneumonia signs on chest computed tomography in cancer patients: the ARILUS study by A. A. Dyachenko, A. M. Grjibovski, M. A. Bogdanov, D. V. Bogdanov, E. A. Nazarova, A. A. Meldo, V. Yu. Chernina, M. G. Belyaev, V. A. Gombolevsky, M. Yu. Valkov

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Reprogramming Heritage: An Approach for the Automatization in the Adaptative Reuse of Buildings by Marta Domènech-Rodríguez, David López López, Sergi Nadal, Anna Queralt, Còssima Cornadó

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USING ARTIFICIAL INTELLIGENCE AND COMPETITIVE ADVANTAGE IN OPERATIONS MANAGEMENT: A CASE STUDY OF ISLAMIC BANKS IN AMMAN, JORDAN by Khaled Abdulwahab Alzeaideen, Ala’a Abdulkarim Hamdan, Hazem Khaled Shehadeh, Majed Abdel-Mohdi Masadeh, Hala Alsabatin, Abdalmuttaleb Al-Sartawi, Waleed Nureldeen

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USING ARTIFICIAL INTELLIGENCE AND COMPETITIVE ADVANTAGE IN OPERATIONS MANAGEMENT: A CASE STUDY OF ISLAMIC BANKS IN AMMAN, JORDAN by Khaled Abdulwahab Alzeaideen, Ala’a Abdulkarim Hamdan, Hazem Khaled Shehadeh, Majed Abdel-Mohdi Masadeh, Hala Alsabatin, Abdalmuttaleb Al-Sartawi, Waleed Nureldeen

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TEACHING COMPUTATIONAL THINKING IN SAUDI ARABIAN SCHOOLS USING SMARTPHONE APPS by Abdullah Alenezi

“…Computational thinking, encompassing problem-solving, computational logic, and algorithmic thinking, is an essential skill in the modern world. …”
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Enhanced Peer-to-Peer Botnet Detection Using Differential Evolution for Optimized Feature Selection by Sangita Baruah, Vaskar Deka, Dulumani Das, Utpal Barman, Manob Jyoti Saikia

“…The stealthy nature of botnets, characterized by constant alterations in network structures, attack methodologies, and data transmission patterns, poses a growing difficulty in their detection. …”
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A control-driven transition strategy for enhanced multi-level threshold image segmentation optimization by Laith Abualigah, Mohammad H. Almomani, Saleh Ali Alomari, Raed Abu Zitar, Vaclav Snasel, Kashif Saleem, Aseel Smerat, Absalom E. Ezugwu

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Machine Learning in the Teaching Quality of University Teachers: Systematic Review of the Literature 2014–2024 by Walter Zambrano-Romero, Ciro Rodriguez, Josselyn Pita-Valencia, Walter José Zambrano-Romero, José Manuel Moran-Tubay

“…The growth in the number of students in higher education institutions (HEIs) in Latin America reached 33.5 million in 2021 and more than 220 million worldwide, increasing the number of data volumes in academic management systems. …”
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RESILIENCE (Retrospective Linkage Study of Autoimmune Encephalitis): protocol for an Australian retrospective cohort study of outcomes in autoimmune encephalitis using data linkage... by David Brown, Wendyl D’Souza, Mark Cook, Andrew McLean-Tooke, David Gillis, Udaya Seneviratne, James Boyd, John Dunne, Nicholas Lawn, Ximena Camacho, Christine Bundell, Nerissa Jordan, Sudarshini Ramanathan, Fabienne Brilot, Kerri M Prain, Elaine Pang, Katrina Lambert, Russell Dale, Lisa Gillinder, Emma Whitham, Saxon Douglass, Amy Jean Halliday, Greg Bryson, Alan Lai, Wendyl Jude D’Souza

“…Two cohorts will be analysed, the Reference Cohort (clinically confirmed AE cases obtained from hospital medical records, n=145) and the Operationally Defined Cohort (AE cases identified through administrative coding data, n≈5000). Univariate statistical methods will identify candidate coding elements for use in the operational case definition and multivariate models and evaluation methods used to identify and internally validate the optimal coding algorithms. …”
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