Reservoir-based flood forecasting and warning: deep learning versus machine learning by Sooyeon Yi, Jaeeung Yi

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Design, Development, and Method Evaluation of Aptamer-Based Diagnostics for the Detection of Multidrug-Resistant Bacteria by N. Jaya Lakshmi, Hariprasad Puttaswamy

“…The objective is to develop an aptamer-based kit enabling rapid point-of-care detection of <i>P. aeruginosa</i> in clinical and environmental samples.…”
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Integrated GIS, remote sensing, and analytical hierarchical process approaches to delineate groundwater storage zones in the Sub-Saharan region of Northern Ethiopia by Aniley T. Tesfaye

“…Cross-validation of the groundwater potential zones against 81 point-source inventory data yielded a 77 % area under the curve (AUC) value. …”
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Travel Time Probability Prediction Based on Constrained LSTM Quantile Regression by Hao Li, Zijian Wang, Xiantong Li, Hua Wang, Yongxing Man, Jinyu Shi

“…Then, to increase the predictability of each quantile, it combines a deep-learning LSTM model and a quantile regression model to create a probabilistic travel time prediction model utilizing combined layers. The proposed model is compared with the linear quantile regression and neural network quantile regression models, and the model is evaluated in terms of point prediction results and probabilistic prediction results, respectively, to ensure the accuracy of predictions from the model. …”
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Graph Neural Network based elastic deformation emulators for magmatic reservoirs of complex geometries by Taiyi A. Wang, Ian McBrearty, Paul Segall

“…This is partly due to deformation modeling being limited to one of two approaches: computationally efficient semi-analytical elastic solutions for simple magma reservoir geometries (point sources, spheroids, and cracks) and computationally expensive numerical solutions for complex 3D geometries. …”
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A corporate approach to enhancing lithium-ion battery safety through flame-retardant electrolyte development by Beomsu Lee, Cheolsoo Jung, Cheolsoo Jung

“…Lithium-ion batteries (LIBs) are integral to modern technology, yet their reliance on flammable liquid electrolytes poses significant safety challenges, especially in electric vehicles and large-scale energy storage systems. This paper presents the development of flame-retardant electrolytes utilizing the Define-Measure-Analyze-Design-Optimize-Verify (DMADOV) methodology to enhance both safety and performance of LIBs. …”
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Inter-laminar shear stress in hybrid CFRP/austenitic steel by J. Lopes, M. Freitas, D. Stefaniak, P.P. Camanho

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Adaptive management for alpine grassland of the Tibetan Plateau based on a multi-criteria assessment by Tianyu Zhan, Tianyu Zhan, Shurong Zhang, Shurong Zhang, Wenwu Zhao, Wenwu Zhao

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A constructal theory framework for optimizing HRSG design: Enhancing thermal performance and cost-effectiveness by Morteza Mehrgoo, Majid Amidpour

“…This study utilizes Constructal Theory and genetic algorithms to formulate a comprehensive optimization framework for selecting the appropriate type of Heat Recovery Steam Generator (HRSG) in combined cycle power plants. …”
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Comparison of the predictive capacity of the Alvarado and AIR scores in the diagnosis of acute appendicitis: A prospective study by L.M. Sanabria-Arévalo, L.C. Domínguez-Torres, J. Kock, J.D. Lotero, J.C. Gómez-Cáceres, E. Tuta-Quintero

“…The ROC curve of the Alvarado score was 0.767 (95% CI: 0.716−0.818), and with a cutoff point of 0−4, had 78% sensitivity and 84% specificity. …”
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Optimizing SVC placement for enhanced voltage stability using a novel index and hybrid ABC-PSO algorithm by Hafizur Rahman, Roman Mia, Mustafizur Rahman, Md. Faiyaj Ahmed Limon, Md. Shahid Iqbal, Md. Fahad Jubayer, Md. Rabiul Karim, Md. Janibul Alam Soeb

“…Comparative analysis with FVSI and Lmn demonstrates MCPI’s superior ability to identify critical instability points. In the IEEE 30-bus system, MCPI successfully detects vulnerabilities in a critical transmission line that conventional indices fail to recognize. …”
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A KeyBERT-Enhanced Pipeline for Electronic Information Curriculum Knowledge Graphs: Design, Evaluation, and Ontology Alignment by Guanghe Zhuang, Xiang Lu

“…To address this gap, this paper presents a KeyBERT-enhanced method for constructing a knowledge graph of the electronic information curriculum system. Utilizing teaching plans, syllabi, and approximately 500,000 words of course materials from 17 courses, we first extracted 500 knowledge points via the Term Frequency–Inverse Document Frequency (TF-IDF) algorithm to build a baseline course–knowledge matrix and visualize the preliminary graph using Graph Convolutional Networks (GCN) and Neo4j. …”
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Modeling and Classification of the Behavioral Patterns of Students Participating in Online Examination by B. J. Ferdosi, M. Rahman, A. M. Sakib, T. Helaly

“…A significant increase in cheating in online examinations (from 29.9% before COVID-19 to 54.7% during COVID-19, as per a recent survey) points out the necessity of online exam proctoring systems. …”
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Complexity Reduction in the Use of Evolutionary Algorithms to Function Optimization: A Variable Reduction Strategy by Guohua Wu, Witold Pedrycz, Haifeng Li, Dishan Qiu, Manhao Ma, Jin Liu

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Potential Target Receptors for the Pharmacotherapy of Burning Mouth Syndrome by Takahiko Nagamine

“…Furthermore, the altered processing of pain and reward, which is a key feature of chronic pain, implicates the brain’s dopaminergic system. A decrease in dopamine D2 receptor function within this system is believed to contribute to the pathology of BMS. …”
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Robust modified passive islanding detection for microgrids using mathematical morphology based dual algorithm by Fayez F. M. El-Sousy, Nauman Ali Larik, Wei Lue, Sulaiman Z. Almutairi, Mohammed H. Alqahtani, Saleh Mobayen

“…This paper presents a novel modified passive islanding detection strategy based on a mathematical morphological filter (MMF) with a sliding window method-based median filter (SWMBMF), designed to address these challenges in microgrid systems. The measured noisy voltage signal at point of common coupling (PCC)/DGs-terminal is initially estimated via SWMBMF by continuously monitoring the signals with minimal latency. …”
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Real-World Steam Powerplant Boiler Tube Leakage Detection Using Hybrid Deep Learning by Salman Khalid, Muhammad Muzammil Azad, Heung Soo Kim

“…This study proposes a hybrid deep learning approach that combines convolutional neural networks (CNNs) with a support vector machine (SVM) classifier to allow early and accurate leak detection. The methodology utilizes temperature data from multiple sensors positioned at critical points in the boiler system. …”
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Quantum dot nanotechnology: Advancing target drug delivery in Oncology by Pratiksha S. Hanmante, Radheshyam T. Lohiya, Aaditi G. Wankhede, Diksha S. Undirwade, Swati N. Lade, Sushil S. Burle, Milind J. Umekar

“…Conventional cancer treatments still have several serious drawbacks, including low targeted specificity, systemic toxicity, and insufficient therapy monitoring, even with tremendous advancements in oncology. …”
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A Verifiable, Privacy-Preserving, and Poisoning Attack-Resilient Federated Learning Framework by Washington Enyinna Mbonu, Carsten Maple, Gregory Epiphaniou, Christo Panchev

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Multi-objective Bayesian optimization of eco-friendly gas mixtures for resistive plate chambers by Pit Bechtold, Dario Stocco, Christian M Franck

“…The proposed framework is built upon multi-objective Bayesian optimization (BO) with Pareto front prediction and per-point noise implementation. This work fills a research gap by applying advanced optimization tools, specifically BO, to challenges in gaseous detectors, gas insulation systems and electrical engineering: An approach that is not commonly used in the field. …”
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