Exploring the roles of AI-powered e-tutors in enhancing self-directed learning in open distance e-learning courses by Mncedisi Christian Maphalala, Rachel Gugu Mkhasibe, Dumsani Wilfred Mncube

“…The paper also addresses the practical challenges and limitations of implementing AI-powered e-tutoring, such as technology access, data privacy, and the continuous improvement of AI algorithms. …”
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Devastating “DANA” Floods in Valencia: Insights on Resilience, Challenges, and Strategies Addressing Future Disasters by Jose M. Martin-Moreno, Eva Garcia-Lopez, Mariano Guerrero-Fernandez, Jose L. Alfonso-Sanchez, Paul Barach

“…Strengthening prevention, preparedness, and response measures, and fostering political and community cohesion, can enable societies to build adaptive capacity to effectively tackle the increasing challenges of climate-driven extreme weather disasters. …”
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Regularized sequence-context mutational trees capture variation in mutation rates across the human genome. by Christopher J Adams, Mitchell Conery, Benjamin J Auerbach, Shane T Jensen, Iain Mathieson, Benjamin F Voight

“…To address these limitations, we developed Baymer, a regularized Bayesian hierarchical tree model that captures the heterogeneous effect of sequence contexts on polymorphism probabilities. Baymer implements an adaptive Metropolis-within-Gibbs Markov Chain Monte Carlo sampling scheme to estimate the posterior distributions of sequence-context based probabilities that a site is polymorphic. …”
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Integrating cyber-physical systems with embedding technology for controlling autonomous vehicle driving by Manal Abdullah Alohali, Hamed Alqahtani, Abdulbasit Darem, Monir Abdullah, Yunyoung Nam, Mohamed Abouhawwash

“…In addition to advancing reinforcement learning applications in CPSs, this work opens up possibilities for future investigations into real-world generalisation, adaptive reward mechanisms, and scalable hardware implementations to further reduce uncertainty in autonomous systems.…”
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Anomaly Detection and Business Process Orchestration for Low-Code Platform in Power System Based on Deep-Cross Model With Data Balancing by Jin Huang, Ming Sheng Xu, Chang Ming Zhu, Guo An Wang

“…Fourth, we develop an adaptive processing framework for asynchronous heterogeneous data streams, reducing detection latency by 62% compared to current synchronous methods. …”
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Global Education Development Plan to Build Sustainable Education Based on Artificial Intelligence by Siti Marisa, Gunawan Gunawan, Evi Susilawati

“…Furthermore, AI-supported adaptative curricular development allows learning experiences that are adapted to student development and capabilities. …”
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Data-Driven Mobility System for Vehicular Communication: A Step Towards Transport Resilience in Intelligent Transport Systems by Maryam Gillani, Hafiz Adnan Niaz, Beatriz Martinez-Pastor

“…IDT’s features and modules are real-time implemented on Ireland’s largest road network M50. …”
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Non-formal interviews as model interfaces: A case for deep learning in workplace instructional design research by Roberto Rojas-Alfaro

“…A fourfold framework for implementing non-formal interviews in IDR is also discussed.…”
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Environmentdependent microcirculatory and autonomic neurovascular changes in the children with allergic rhinitis by P. V. Berezhanskiy, N. S. Tataurschikova

“…This regulatory mechanism is implemented via nerves and reflexes by different neurohumoral factors. …”
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Array Radar Three-Dimensional Forward-Looking Imaging Algorithm Based on Two-Dimensional Super-Resolution by Jinke Dai, Weijie Sun, Xinrui Jiang, Di Wu

“…Considering the lack of training samples, the super-resolution spectrum of each range-pulse cell is estimated via adaptive iteration processing only with one sample, i.e., the cell under process. …”
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A Robot Floating Grinding and Rust Removal Approach Based on Composite Force-Position Fuzzy Control by Tao Li, Qun Sun, Chong Wang, Xiuhua Yuan, Kai Wang

“…This solution integrates force and laser displacement sensors to provide real-time compensation for path deviations and ensures adaptability to complex surfaces. A fuzzy derivative-leading PID algorithm was employed to control the grinding force, enabling adaptive force regulation and enhancing the control precision. …”
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Breast Cancer Detection Using a High-Performance Ultra-Wideband Vivaldi Antenna in a Radar-Based Microwave Breast Cancer Imaging Technique by Şahin Yıldız, Muhammed Bahaddin Kurt

“…A monostatic radar-based system was implemented for scanning a breast phantom in the prone position in an experimental setting. …”
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Geographically Aware Air Quality Prediction Through CNN-LSTM-KAN Hybrid Modeling with Climatic and Topographic Differentiation by Yue Hu, Yitong Ding, Wenjing Jiang

“…First, Shapiro–Wilk normality testing (<i>p</i> < 0.05) revealed non-Gaussian distribution characteristics in the observational data, providing statistical justification for implementing Gaussian filtering-based noise suppression. …”
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Giving Voice to the Invisible Through the Use of Participatory Videos to Communicate Community-level Vulnerability to Pelagic Sargassum Influxes in the Eastern Caribbean by Bethia Thomas, Janice Cumberbatch

“…They have failed to implement a structured and organised plan to manage the influxes of sargassum, resulting in an ad hoc and unplanned response (Brooks et al. 2018, CRFM 2019, Djakourè et al. 2017, Doyle and Franks 2015, Gower and King 2011, Hinds et al. 2016, Hu et al. 2016, Oxenford et al. 2016, Wang and Hu 2017). …”
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Protecting persons at-risk of viral hepatitis and alcohol-related liver disease during the pandemic and beyond: mitigating the impact of coronavirus disease 2019 on liver health by Belaynew W Taye, Patricia C Valery, Paul J Clark

“… # Conclusions Successful mitigation of the impact of COVID-19 on the incidence of viral hepatitis and alcoholic liver disease requires adaptive approaches to reach people with injecting drug use and AUD including community-based networks, fixed site and mobile NSP, mail delivery systems, the use of telehealth, and other digital media for promoting and implementing alcohol harm reduction during and after the COVID-19 pandemic.…”
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Factors of Formation of Financial Behavior Types of Economic Entities by V. V. Maslennikov, A. V. Larionov, M. A. Gagarina

“…Entities may exhibit active, adaptive, and reactive financial behaviors. The purpose of the work is to determine the key factors that influence the formation of types of financial behavior of economic entities. …”
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Symbiotic Learning Grey Wolf Optimizer for Engineering and Power Flow Optimization Problems by Aala Kalananda Vamsi Krishna Reddy, Komanapalli Venkata Lakshmi Narayana

“…SL-GWO&#x2019;s symbiotic hunting strategies provide a major overhaul to the exiting hierarchical hunting through population sub-grouping into attacking hunters and experienced hunters with individually crafted dynamic adaptive tuning. The hunting mechanisms are implemented through the inclusion of random omega wolves from the wolfpack thereby reducing the algorithm&#x2019;s excessive dependence on the three dominant wolves and enhancing the population diversity. …”
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Integrating Water Evaluation and Planning Modeling into Integrated Water Resource Management: Assessing Climate Change Impacts on Future Surface Water Supply in the Irawan Watershe... by Jennifer Collado Cacal, Muhammad Shafqat Mehboob, Ernie Nograles Bañares

“…The findings underscore the urgency of using adaptive management strategies to conserve water resources in the face of these anticipated challenges. …”
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Frequency model of an essentially nonlinear steering drive with a digital microcontroller by S. V. Gryzin

“…As a result of the study, a method for obtaining a frequency model of the steering drive is proposed, which is implemented as a non-minimum phase system, the main property of which is the independence of the amplitude-frequency and phase-frequency characteristics. …”
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Smart Grid Self-Healing Enhancement E-SOP-Based Recovery Strategy for Flexible Interconnected Distribution Networks by Wanjun Li, Zhenzhen Xu, Meifeng Chen, Qingfeng Wu

“…Then, a multi-dimensional improvement of the dung beetle optimizer (DBO) algorithm is implemented through Logistic chaotic mapping, adaptive parameter adjustment, elite learning mechanisms, and local search strategies, resulting in an efficient solution for AC distribution network power supply restoration. …”
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