Predicting stroke with machine learning techniques in a sub-Saharan African population by Benjamin Segun Aribisala, Deirdre Edward, Godwin Ogbole, Onoja M. Akpa, Segun Ayilara, Fred Sarfo, Olusola Olabanjo, Adekunle Fakunle, Babafemi Oluropo Macaulay, Joseph Yaria, Joshua Akinyemi, Albert Akpalu, Kolawole Wahab, Reginald Obiako, Morenikeji Komolafe, Lukman Owolabi, Godwin Osaigbovo, Akinkunmi Paul Okekunle, Arti Singh, Philip Ibinaye, Osahon Osawata, Adeniyi Sunday, Ijezie Chukwuonye, Carolyn Jenkins, Hemant K. Tiwari, Okechukwu Ogah, Ruth Y. Laryea, Daniel T. Lackland, Oyedunni Arulogun, Omotolani Ajala, Rufus Akinyemi, Bruce Ovbiagele, Steffen Sammet, Mayowa Owolabi

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Performance Analysis of M2M Sensor Networks by Jingjing Wang, Lingwei Xu, Xinli Dong, Wei Shi, Qiuna Niu

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Improving ice plant efficiency with Al2O3 nanoparticles and evaporative cooling techniques by Nitin S. Aher, Umesh Gurnani, Laxmikant S. Dhamande, Rakhi Bornare, Anurag Hamilton

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Approximation of First–Order Complex Resonators in the Frequency–Domain by Julia Nako, Georgia Tsirimokou, Costas Psychalinos, Ahmed S. Elwakil

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Link Sensing-Adaptive Passive Object Localization in Wireless Sensor Networks by Tianzhang Xing, Ju Wang, Liqiong Chang, Xiaojiang Chen, Dingyi Fang, Chase Q. Wu

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Optimization-Driven Reconstruction of 3D Space Curves from Two Views Using NURBS by Musrrat Ali, Deepika Saini, Sanoj Kumar, Abdul Rahaman Wahab Sait

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Efficient Analysis of Plasmonic circuits using Differential Global Surface Impedance (DGSI) Model by Hoda Ameri, Reza Faraji-Dana

“…Therefore, there is no need to evaluate the rather complex integral operator related to this current. …”
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Systematic Analysis of Retrieval-Augmented Generation-Based LLMs for Medical Chatbot Applications by Arunabh Bora, Heriberto Cuayáhuitl

“…This paper focuses on tailoring LLMs to medical data utilising a Retrieval-Augmented Generation (RAG) database to evaluate their performance in a computationally resource-constrained environment. …”
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Formulating the in-plane frictional resistances and collapse mechanisms for multi-storey masonry block walls by Luca Umberto Argiento, Alessandra Maione, Claudia Casapulla

“…The key aspect of the proposed approach is the introduction of a criterion to evaluate the contribution of the actual frictional resistances depending on the inclination angle of the crack line. …”
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A real-time virtual liver simulator using position based dynamics with compliant constraints for medical applications by Yufan Guo, Dongliang Kou, Xukun Zhang, Lihua Zhang, Kai Cao

“…However, existing physical simulation techniques face a trade-off between high precision with slow computational speeds and rapid performance with diminished accuracy. …”
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Generating graph perturbations to enhance the generalization of GNNs by Sofiane Ennadir, Giannis Nikolentzos, Michalis Vazirgiannis, Henrik Boström

“…We demonstrate instances of our framework on popular GNNs, and evaluate them on several real-world benchmark graph classification datasets. …”
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Modeling and Simulation of Attraction–Repulsion Chemotaxis Mechanism System with Competing Signal by Anandan P. Aswathi, Amar Debbouche, Yadhavan Karuppusamy, Lingeshwaran Shangerganesh

“…Additionally, we conduct computational studies of the model using the finite element method. …”
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Nonpharmacologic Methods Used in the Management of Premenstrual Syndrome: A Systematic Review of Randomized Controlled Postgraduate Theses by Kevser Özdemir, Ahsen Demirhan

“…As a result of the search, 130 studies were found and 4 randomized controlled dissertations meeting the inclusion criteria were included in the study.Results: The included studies were sorted and analyzed according to years, and numerical analyzes were carried out in computer environment. Results of the interventions used in the study, Premenstrual Syndrome Scale (PMSS), Depression Anxiety Stress Scale (DASS), Visual Pain Scale (VAS), Menstrual Distress Complaint List, Perceived Stress Scale, World Health Organization Quality of Life Assessment Scale Short Form, Menstrual Distress Complaint List was evaluated using the WHO Short Form of the Quality of Life Scale (WHO-SF) and the Healthy Lifestyle Behaviors Scale (SYBDS II).Conclusion: The theses in the study showed that aromatherapy, health-related education models, the use of health belief models and acupressure were effective in alleviating PMS symptoms.…”
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An AI-Driven Particle Filter Technology for Battery System State Estimation and RUL Prediction by Mohamed Ahwiadi, Wilson Wang

“…The effectiveness of the AI-PF framework is validated through systematic evaluations carried out using benchmark models and well-recognized battery datasets.…”
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Speech emotion recognition based on a stacked autoencoders optimized by PSO based grass fibrous root optimization by Chi Zeng, Jialing Li, Abbas Habibi

“…Recognizing emotional states accurately from speech signals has a broad spectrum of practical applications, such as healthcare, human-computer interaction, and social robotics. This study introduces an innovative approach that merges deep learning with metaheuristic algorithms to boost the efficiency of SER systems. …”
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Quantitative microvessel orientation biomarkers derived from contrast free ultrasound imaging for cancer diagnosis by Pradeep Kumar Chaudhary, Nicholas B. Larson, Azra Alizad, Mostafa Fatemi

“…The proposed biomarkers were computed in both polar and Cartesian coordinates using images acquired by a high-definition microvasculature imaging technique. …”
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Breast cancer ultrasound image segmentation using improved 3DUnet++ by Saba Hesaraki, Abdul Sajid Mohammed, Mehrshad Eisaei, Ramin Mousa

“…The three investigated approaches were evaluated on equal datasets in terms of training and testing as well as with proportional hyperparameters. …”
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Insights of semantic segmentation using the DeepLab architecture for autonomous driving by Javed Subhedar, Mrinal R Bachute

“…One of the critical tasks of autonomous driving systems is the Perception task (detecting the surroundings), which involves semantic Segmentation. The vital computer vision task of semantic segmentation assigns a “label” to every pixel in the input image. …”
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Design Methodology and Economic Impact of Small-Scale HAWT Systems for Urban Distributed Energy Generation by Marina Budanko, Zvonimir Guzović

“…This paper presents a methodology for designing highly efficient HAWTs for urban use, supported by computational fluid dynamics (CFD) analyses to produce power curves and evaluate the energy conversion efficiency of both bare and augmented turbine designs. …”
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Effects of Angle of Attack, Aspect Ratio, and Leading-Edge Curvature on Supersonic Fin Performance by M. Hasbi Ash Shiddieqy, Andoko Andoko

“…This research employs a full-factorial design of experiments (DoE) integrated with computational fluid dynamics (CFD) simulations using the k-w SST  turbulence model to evaluate the influence of angle of attack (AoA), fin aspect ratio, and leading-to-drag ratios, with higher AoA increasing lift but also inducing drag penalties. …”
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