Computational Evaluation of Heat and Mass Transfer in Cylindrical Flow of Unsteady Fractional Maxwell Fluid Using Backpropagation Neural Networks and LMS by Waqar Ul Hassan, Khurram Shabbir, Muhammad Imran Khan, Liliana Guran

“…The mean-squared error (MSE), error histograms, correlation coefficient (R), and function fitting are computed to examine the effectiveness and consistency of the proposed machine learning technique i.e., LMS-BPNN. …”
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XV-AMD: An Explainable Vision Transformer Detection Framework for Age-Related Macular Degeneration Using Fundus Imaging by Aya A. Abd El-Khalek, Hossam Magdy Balaha, Mohamed T. Azam, Ashraf Sewelam, Mohammed Ghazal, Abeer T. Khalil, Mohy Eldin A. Abo-Elsoud, Ayman El-Baz

“…Through a systematic preprocessing pipeline, including average cumulative distribution function (CDF) calculation and contrast limited adaptive histogram equalization (CLAHE), our approach enhances image quality and prepares data for analysis. …”
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Real-time mobile broadband quality of service prediction using AI-driven customer-centric approach by Ayokunle A. Akinlabi, Folasade M. Dahunsi, Jide J. Popoola, Lawrence B. Okegbemi

“…Lastly, the feature importance plot shows that QoS is the collective effect of service performance and not a function QoS metrics only that determines the degree of satisfaction of a user of the service. …”
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Inversion of Leaf Chlorophyll Content in Different Growth Periods of Maize Based on Multi-Source Data from “Sky–Space–Ground” by Wu Nile, Su Rina, Na Mula, Cha Ersi, Yulong Bao, Jiquan Zhang, Zhijun Tong, Xingpeng Liu, Chunli Zhao

“…This study proposes an improved method based on multi-source data, combining the Sentinel-2A spectral response function (SRF) and computer algorithms, to overcome the limitations of traditional methods. …”
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Features of Recruitment: Intelligent Text Analysis of Resume and Vacancies by Irina L. Sizova

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A Comprehensive Review on Light Field Occlusion Removal: Trends, Challenges, and Future Directions by Mostafa Farouk Senussi, Mahmoud Abdalla, Mahmoud Salaheldin Kasem, Mohamed Mahmoud, Bilel Yagoub, Hyun-Soo Kang

“…The review concludes with future research directions, emphasizing hybrid approaches, refined loss functions, and scalable solutions for LF occlusion removal.…”
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Microqualification Programs at Universities: A New Educational Trajectory for Adult Education by M. O. Shepel, S. B. Veledinskaya, E. A. Diyskaya, A. V. Feshchenko, I. A. Korshunov, N. N. Shirkova

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Russian-language repository of the open clinical data “SibMED Data Clinical Repository” by E. S. Kulikov, O. S. Fedorova, I. V. Tolmachev, U. V. Ryazantseva, D. A. Vrazhnov, A. V. Gubanov, S. V. Nesterovich, A. A. Shmyrina

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Bearing Fault Diagnosis Based on Parameter Optimized VMD and ELM with Improved SSA by Yang Sen, Wang Hengdi, Cui Yongcun, Li Chang, Tang Yuanchao

“…Firstly, the optimization step size of SSA is adaptively changed according to the fittness function value and the number of iterations. Secondly, the improved SSA optimizes the important parameters (decomposition number <italic>K</italic> and penalty factor <italic>α</italic>) of the VMD algorithm, and the fittness function adopts the minimum envelope entropy. …”
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Configuration sampling in multi-component multi-sublattice systems enabled by ab Initio Configuration Sampling Toolkit (abICS) by Shusuke Kasamatsu, Yuichi Motoyama, Kazuyoshi Yoshimi, Tatsumi Aoyama

“…Simulation of the intermediate levels of disorder found in multi-component multi-sublattice systems in various functional materials is a challenging issue, even for state-of-the-art methodologies based on first-principles calculation. …”
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Des pratiques pédagogiques de l’enseignement du lire/écrire, déclarées par des enseignantes du primaire by Rakia Laroui, Magalie Morel, Stéphanie Leblanc

“…They also focused on interdisciplinary and cross-functional projects. Those activities are more significant because of their closeness with the children’s reality and interests. …”
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Evidence-based teaching interventions for emergent multilingual students in high school science classrooms: a literature review by Uma Ganesan

“…These approaches, grounded in sociocultural theory and systemic functional linguistics, conceive learning as a social process involving cultural tools like language to construct knowledge. …”
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Being and becoming: a revealing glimpse of L2 writer identity through metaphors by Kittika Limpariwatthana, Bee Chamcharatsri

“…As English is a foreign language in Thailand, its primary functions in society have been linked to tourism, economic growth, and enhancing socioeconomic status. …”
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High‐Load Capable Soft Tactile Sensors: Incorporating Magnetorheological Elastomer for Accurate Contact Detection and Classification of Asymmetric Mechanical Components by Buyong Lim, Jungwon Yoon

“…This article presents a novel design of a new soft tactile sensor for a robotic gripper, incorporating a sandwich‐like multilayered structure, together with a deep learning (DL) model, which overcomes the limitations of traditional sensors. …”
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Hybrid LSTM–Seq2Seq Models: Improved Patient Interaction for Healthcare Chatbots by saba abdalmnam, Suha Mohammed Hadi, Mustafa Musa

“…Employing callback functions during training ensures the best-fit model is saved, which makes the method viable in different tasks described in the job descriptions.…”
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A Unified Framework for Fault and Performance Prediction Using Spatio-Temporal Geometric Features Based on STSFE by Dong-Hyun Kang, A-Youn Yang, Jong-Min Lee, Jong-Gu Lee

“…This paper proposes a unified deep-learning framework for fault and performance prediction in communication equipment by utilizing spatiotemporal geometric features. …”
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Research on Rolling Bearing Fault Diagnosis Method Based on MPE and Multi-Strategy Improved Sparrow Search Algorithm Under Local Mean Decomposition by Haodong Chi, Huiyuan Chen

“…This algorithm integrates an adaptive Levy flight mechanism and dynamic reverse learning. The long-tail jump characteristics of Levy flight enhance the global search capability, while dynamic reverse learning increases population diversity, preventing premature convergence. …”
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Predicting the chemical equilibrium point of reacting components in gaseous mixtures through a novel Hierarchical Manta-Ray Foraging Optimization Algorithm by Oguz Emrah Turgut, Hadi Genceli, Mustafa Asker, Mustafa Turhan Çoban, Mohammad Akrami

“…Within this proposed concept, the Manta-ray population is divided into three main sub-populations: the Elite Oppositional learning scheme manipulates top elite individuals, Dynamic Oppositional learning search equations update average population members, and quantum-based learning equations process the worst members. …”
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HyenaCircle: a HyenaDNA-based pretrained large language model for long eccDNA prediction by Fuyu Li, Wenxiang Lu, Yunfei Bai

“…Long eccDNAs (typically 1–5 kb) pose detection challenges due to their large size, hindering functional studies. We propose HyenaCircle, a novel deep learning model leveraging large language model and third-generation sequencing data to predict long eccDNA formation.MethodsFull-length eccDNAs within 1–5 kb were identified by FLED algorithm for Nanopore sequencing data, extended by 100-bp flanking sequences, and paired with 20,000 length-matched negative controls from eccDNA-depleted genomic regions. …”
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Optimization of Reservoir Operation using a Bioinspired Metaheuristic Based on the COVID-19 Propagation Model by Alireza Donyaii, Amirpouya Sarraf

“…The model objective functions included minimizing vulnerability and enhancing reliability indices during baseline and climate change periods. …”
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