Blind Bilinear Approach for Nonlinear-Based System Identification by Abdulmajid Lawal, Karim Abed-Meraim, Azzedine Zerguine, Ali Muqaibel

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Comprehensive Approach to Developing Baseline Reference Ranges for Platelet Function by Olga B. Gordeeva, Maria S. Karaseva, Vasily A. Lastovka, Nato D. Vashakmadze, Margarita A. Soloshenko, Gregory V. Revunenkov, Kirill A. Valyalov, Viktor V. Altunin

“…The results of further research may contribute in the development of the algorithm for controlling antiplatelet therapy in patients with contraindications or with genetically determined low sensitivity to thrombocyte aggregation inhibitors based on acetylsalicylic acid.…”
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Effect of Voltage Dependent Load Model on Placement and Sizing of Distributed Generator in Large Scale Distribution System by Gopisetti Manikanta, Ashish Mani, Hemender Pal Singh, Devendra Kumar Chaturvedi

“…In addition to AQiEA, four other algorithms (Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Gravitational Search Algorithm (GSA), Grey Wolf Optimization (GWO), and Ecogeography-based Optimization (EBO) with Classification based on Multiple Association Rules (CMAR)) have also been employed for comparison. …”
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Intracortical inhibiton assessment using threshold tracking technique in amyotrophic lateral sclerosis by I. S. Bakulin, A. Kh. Zabirova, A. G. Poydasheva, D. O. Sinitsyn, D. Yu. Lagoda, A. R. Nagieva, M. N. Zakharova, N. A. Suponeva, M. A. Piradov

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Optimization and benefit evaluation model of a cloud computing-based platform for power enterprises by Xueli Yin, Xuguang Zhang, Luyao Pei, Rong Hu, Kaihui Ye, Kangkang Cai

“…Abstract To address the challenges associated with the digital transformation of the power industry, this research develops an optimization and benefit evaluation model for cloud computing platforms tailored to power enterprises. …”
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Bioresource collection of blood components from pregnant women to identify fetal genetic features, as well as to search for genetic markers of gestational complications by E. S. Vashukova, O. A. Tarasenko, O. E. Talantova, P. Yu. Kozyulina, A. V. Morshneva, А. R. Maltseva, O. V. Pachulia, O. N. Bespalova, I. Yu. Kogan, A. S. Glotov

“…The created collection, as well as the clinical and genomic data associated with it, is a valuable resource for basic and applied research.…”
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Prognostic prediction of gastric cancer based on H&E findings and machine learning pathomics by Guoda Han, Xu Liu, Tian Gao, Lei Zhang, Xiaoling Zhang, Xiaonan Wei, Yecheng Lin, Bohong Yin

“…Aim: In this research, we aimed to develop a model for the accurate prediction of gastric cancer based on H&E findings combined with machine learning pathomics. …”
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A derecho climatology (2004–2021) in the United States based on machine learning identification of bow echoes by J. Li, A. Geiss, Z. Feng, L. R. Leung, Y. Qian, W. Cui, W. Cui

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Deformation-Related Data Mining and Movement Patterns of the Huangtupo Landslide in the Three Gorges Reservoir Area of China by Zhexian Liao, Jinge Wang, Gang Chen, Yizhe Li

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Vision-Guided Maritime UAV Rescue System with Optimized GPS Path Planning and Dual-Target Tracking by Suli Wang, Yang Zhao, Chang Zhou, Xiaodong Ma, Zijun Jiao, Zesheng Zhou, Xiaolu Liu, Tianhai Peng, Changxing Shao

“…A monocular vision-based ranging algorithm ensures accurate distance estimation and continuous tracking of rescue vessels. …”
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Surgical Aspects of the Treatment of Patients With Generalized Peritonitis by B. V. Sigua, V. P. Zemlyanoy, S. V. Petrov, V. A. Ignatenko, P. A. Kotkov

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Cancer recurrence risk with bDMARD treatment in patients with rheumatoid arthritis and a history of cancer: a nationwide Danish register-based cohort study by Merete Lund Hetland, Lene Dreyer, René Cordtz, Lene Mellemkjær, Kirsten Duch, Rasmus Westermann, Linda Aagaard Rasmussen

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Implementasi Algoritma TOPSIS dan Metode EUCS untuk Pengujian Sistem Penilaian Kinerja Pegawai pada Laboran Fakultas Teknologi Informasi UKSW Salatiga by Andreas Arga Rinjani Saputro, Kristoko Dwi Hartomo

“…There are six laboratory employee rating criteria which consisting of dicipline, responsible, team work, skill, academic, and communication. Last result of the research is the form of preference values (Vi) every alternatif, where there is highest preference value is 1 which is obtained 3 out of 12 employee of the TOPSIS algorithm testing. …”
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DDPG-Based UAV-RIS Framework for Optimizing Mobility in Future Wireless Communication Networks by Yasir Ullah, Idris Olalekan Adeoye, Mardeni Roslee, Mohd Azmi Ismail, Farman Ali, Shabeer Ahmad, Anwar Faizd Osman, Fatimah Zaharah Ali

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In-Season Mapping of Sugarcane Planting Based on Sentinel-2 Imagery by Hui Li, Liping Di, Chen Zhang, Li Lin, Liying Guo, Ruopu Li, Haoteng Zhao

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Fault detection for stochastic time-varying systems based on adaptive disturbance rejection observers by Wenli ZHANG, Anning LIU, Jiantao SHI

“…Finally, a fault diagnosis algorithm based on the designed observer is investigated and validated through simulations, demonstrating the effectiveness of the proposed approach.…”
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Tennis Timing Assessment by a Machine Learning-Based Acoustic Detection System: A Pilot Study by Lucio Caprioli, Amani Najlaoui, Francesca Campoli, Aatheethyaa Dhanasekaran, Saeid Edriss, Cristian Romagnoli, Andrea Zanela, Elvira Padua, Vincenzo Bonaiuto, Giuseppe Annino

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Multiple objectives escaping bird search optimization and its application in stock market prediction based on transformer model by Dedai Wei, Zimo Wang, Minyu Qiu, Juntao Yu, Jiaquan Yu, Yurun Jin, Xinye Sha, Kaichen Ouyang

“…To address this issue, this paper proposes an innovative multi-objective optimization algorithm—the Multi-Objective Escape Bird Algorithm (MOEBS)—and introduces the MOEBS-Transformer architecture to enhance the efficiency and effectiveness of hyper-parameter optimization for Transformer models. …”
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Prevalence of Orthosomnia in a General Population Sample: A Cross-Sectional Study by Haitham Jahrami, Khaled Trabelsi, Waqar Husain, Achraf Ammar, Ahmed S. BaHammam, Seithikurippu R. Pandi-Perumal, Zahra Saif, Michael V. Vitiello

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Integration of artificial intelligence and advanced optimization techniques for continuous gas lift under restricted gas supply: A case study by Leila Zeinolabedini, Forough Ameli, Abdolhossein Hemmati-Sarapardeh

“…There has previously been much research in the area of gas lift optimization. However, robust neural networks (GRNN and CFNN) have not been used for integrated production system modeling, nor have GWO algorithms been used to maximize the production or NPV in gas lift operations until now. …”
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