Intensive Care in Ulcerative Gastroduodenal Hemorrhages by E. V. Nedashkovsky, S. V. Spiridonov, V. G. Ivanova

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Multivariate Load Forecasting of Integrated Energy System Based on CEEMDAN-CSO-LSTM-MTL by WANG Yongli, LIU Zeqiang, DONG Huanran, LI Dexin, CHEN Xin, GUO Lu, WANG Jiarui

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Short‐term electric power and energy balance optimization scheduling based on low‐carbon bilateral demand response mechanism from multiple perspectives by Juan Li, Yonggang Li, Huazhi Liu

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Power Control for Full-Duplex Device-to-Device Underlaid Cellular Networks: A Stackelberg Game Approach by Zhen Yang, Titi Liu, Guobin Chen

“…The simulation results show that the proposed game algorithm improves network performance compared with other existing schemes.…”
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Secure bio-inspired optimization with intrusion aware on-demand routing in MANETs by N. Naveen, J. Nirmaladevi

“…Before that, the nodes which involve in the network are validated with the Digital Signature Algorithm based authentication procedure (DSA-Auth). …”
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Enhancing Pose Estimation Using Multiple Graphical Markers with Spatial and Temporal Outlier Detection by Doyoung Kim, Jae Hwan Bong, Seongkyun Jeong

“…To address these limitations, we propose a robust pose estimation algorithm that leverages multiple markers simultaneously. …”
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Vehicle Flow Detection and Tracking Based on an Improved YOLOv8n and ByteTrack Framework by Jinjiang Liu, Yonghua Xie, Yu Zhang, Haoming Li

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Comparison of Manhattan and Chebyshev Distance Metrics in Quantum-Based K-Medoids Clustering by Solikhun Solikhun, Muhammad Rahmansyah Siregar, Lise Pujiastuti, Mochamad Wahyudi, Deny Kurniawan

“…The research compares two distance measurement methods: Chebyshev distance and Manhattan distance. …”
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Possibilities of magnet-resonance tomography usage while examining patients with reccurent genital prolapse by Banakhevych R.M.

“…Magnetic resonance diagnosis, compared with other methods of research, is harmless to the patient and is not restricted plane of the study, that makes it possible to use it both for objective diagnosis and dynamic follow-up during treatment in operative gynecology.…”
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A Comprehensive Review of MI-HFE and IPHFE Cryptosystems: Advances in Internal Perturbations for Post-Quantum Security by Yong Wang, Lingyue Li, Ying Zhou, Huili Zhang

“…While Grover’s algorithm presents a comparatively lesser threat to symmetric encryption, it still accelerates key search processes, creating potential vulnerabilities. …”
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Generalizability of machine learning models for diabetes detection a study with nordic islet transplant and PIMA datasets by Dinesh Chellappan, Harikumar Rajaguru

“…The study explores the potential of machine learning for improved diabetes prediction using microarray gene expression data and PIMA data set. Researchers utilizing a hybrid feature extraction method such as Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO) followed by metaheuristic feature selection algorithms as Harmonic Search (HS), Dragonfly Algorithm (DFA), Elephant Herding Algorithm (EHA). …”
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Human-Centric IoT-Driven Digital Twins in Predictive Maintenance for Optimizing Industry 5.0 by Özlem Sabuncu, Bülent Bilgehan

“…The model was further compared with the PSO algorithm, demonstrating its superiority with a 7.5% reduction in total maintenance cost and a 6.3% decrease in total downtime. …”
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A Performance Analysis of Business Intelligence Techniques on Crime Prediction by Ivan, Niyonzima, Emmanuel Ahishakiye, Elisha Opiyo Omulo, Ruth Wario

“…Four different classification algorithms that is; decision tree (J48), Naïve Bayes, Multilayer Perceptron and Support Vector Machine were compared to find the most effective algorithm for crime prediction. …”
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An overview of solar cell simulation tools by Abu Kowsar, Sumon Chandra Debnath, Md. Shafayet-Ul-Islam, Mohammad Jobayer Hossain, Mainul Hossain, AFM Kamal Chowdhury, Galib Hashmi, Syed Farid Uddin Farhad

“…Solar cell simulation software offers an intuitive platform enabling researchers to efficiently model, simulate, analyze, and optimize photovoltaic devices and accelerate desired innovations in solar cell technologies. …”
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Development of machine learning models for predicting non-remission in early RA highlights the robust predictive importance of the RAID score-evidence from the ARCTIC study by Gaoyang Li, Shrikant S. Kolan, Franco Grimolizzi, Joseph Sexton, Giulia Malachin, Guro Goll, Tore K. Kvien, Tore K. Kvien, Nina Paulshus Sundlisæter, Manuela Zucknick, Siri Lillegraven, Espen A. Haavardsholm, Espen A. Haavardsholm, Bjørn Steen Skålhegg

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Utilizing machine learning and bioinformatics analysis to identify drought stress responsive genes in wheat (Triticum aestivum L.) by Jiabei He, Jiabei He, Baoyue Cui, Baoyue Cui, Pingzeng Liu, Pingzeng Liu, Xianyong Meng, Xianyong Meng, Jun Yan, Jun Yan

“…Subsequently, a weighted gene co-expression network was constructed to determine key gene modules, and multiple machine learning models were compared for their performance. Finally, an improved Random Forest-Boruta (RF-Boruta) algorithm was employed to identify key genes closely associated with drought stress responses. …”
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Evaluation of Soil Moisture Retrievals from a Portable L-Band Microwave Radiometer by Runze Zhang, Abhi Nayak, Derek Houtz, Adam Watts, Elahe Soltanaghai, Mohamad Alipour

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Enhancing landslide susceptibility modelling through a novel non-landslide sampling method and ensemble learning technique by Chao Zhou, Yue Wang, Ying Cao, Ramesh P. Singh, Bayes Ahmed, Mahdi Motagh, Yang Wang, Ling Chen, Guangchao Tan, Shanshan Li

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Geomagnetic cutoff rigidity in neutron monitor locations by Kruchinin Pavel, Siruk Stepan, Mayorov Andrey, Malakhov Vitaly, Aleksandrin Sergey

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Effectiveness of immunosuppressive therapy for lymphocytic myocarditis according: data from actual clinical practice by S. V. Mairina, V. A. Titov, L. B. Mitrofanova, E. S. Pavlova, M. A. Bortsova, A. P. Semenov, O. M. Moiseeva

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