Investigating the Impact of Consensus Algorithm on Scalability in Blockchain Systems by Kashif Mehboob Khan, Muhammad Abdullah Hayat, Rana Muhammad Ibrahim

“…Consensus algorithms ensure the integrity and security of blockchain. …”
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A Method for Speed Up the Allpass Transformation Algorithm by M. I. Porhun, M. I. Vashkevich

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A Novel Tornado Detection Algorithm Based on XGBoost by Qiangyu Zeng, Guoxiu Zhang, Shangdan Huang, Wenwen Song, Jianxin He, Hao Wang, Yin Liu

“…Dual-polarization updating has significantly improved tornado prediction and forecasting abilities. This article proposes an innovative tornado detection algorithm based on XGBoost which is suitable for dual-polarization radar data, was upgraded and has been used in China since 2019, and has been applied in the Tornado Key Open Laboratory of the China Meteorological Administration. …”
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A flexible generative algorithm for growing in silico placentas. by Diana C de Oliveira, Hani Cheikh Sleiman, Kelly Payette, Jana Hutter, Lisa Story, Joseph V Hajnal, Daniel C Alexander, Rebecca J Shipley, Paddy J Slator

“…These models use synthetic networks to represent the multiscale feto-placental vasculature, but current methods lack direct control over key morphological parameters like branching angles, essential for predicting placental dysfunction. We introduce a novel generative algorithm for creating in silico placentas, allowing user-controlled customisation of feto-placental vasculatures, both as individual components (placental shape, chorionic vessels, placentone) and as a complete structure. …”
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A Human Pose Estimation Algorithm with Scale Invariant by SUN Ruiyang, YANG Huixin, ZHAO Lanfei

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Multi-Level Particle System Modeling Algorithm with WRF by Julong Chen, Bin Wang, Rundong Gan, Xuepeng Mou, Shiping Yang, Ling Tan

“…Our algorithm can fully demonstrate cloud characteristics and interlayer differences, significantly improve modeling efficiency, and can be used for accurate modeling of large-scale cloud scenes, providing strong support for meteorological and climate prediction.…”
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Linear regressive weighted Gaussian kernel liquid neural network for brain tumor disease prediction using time series data by Firoz Khan, Sardar Irfanullah Amanullah, Shitharth Selvarajan

Subjects: “…Brain tumor disease prediction…”
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Raising a Child to Live in Society – Personality Traits Parents Develop and Prevent from Developing in their Preschool Children by Agnieszka Szymańska, Elżbieta Aranowska

“…Analyses were carried out using two data mining algorithms: (a) text mining algorithms, (b) support vector machine and (c) social network analysis, and (d) Aranowska's λ judge agreement coefficient.The results revealed that parents of preschool children care mainly about the development of competency traits, especially self-reliance. …”
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Explainable Model Prediction of Memristor by Sruthi Pallathuvalappil, Rahul Kottappuzhackal, Alex James

“…This article proposes predicting the memristor device under test by automatically evaluating the <italic>I&#x2013;V</italic> behavior using random forest and extreme gradient boosting algorithms. …”
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An Efficient Workload-balancing Algorithm for a Parallel Environment Using Hybrid Spatio-temporal Indexes by Claudio Gutiérrez-Soto, Marco A. Palomino, Patricio Galdames

“…This algorithm is able to update the indexes with the most appropriate data, aiming to achieve more efficient query processing. …”
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The machine learning in the prediction of elections by M.S.C. José A. León-Borges, M.A. Roger-Ismael-Noh-Balam, Lic. Lino Rangel Gómez, Br. Michael Philip Strand

“…This research article, presents an analysis and a comparison of three different algorithms: A.- Grouping method K-means, B.-Expectation a convergence criteria, EM and C.- Methodology for classification LAMDA, using two software of classification Weka and SALSA, as an aid for the prediction of future elections in the state of Quintana Roo. …”
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An efficient patient’s response predicting system using multi-scale dilated ensemble network framework with optimization strategy by Nalini Manogaran, Nirupama Panabakam, Durai Selvaraj, Koteeswaran Seerangan, Firoz Khan, Shitharth Selvarajan

Subjects: “…Patient’s response prediction…”
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Analysis methodology for the strategies of educational programs in the system of additional professional education as a component of adaptive marketing by Ольга Харитонова

“…The paper describes the algorithm of adaptive marketing applied to the educational programs in the system of additional professional education. …”
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Predictive Model to Analyse Real and Synthetic Data for Learners' Performance Prediction Using Regression Techniques by SHABNAM ARA S.J, Tanuja R, Manjula S.H

“… Predicting learner performance with precision is critical within educational systems, offering a basis for tailored interventions and instruction. …”
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Optimizing Lecture Scheduling Using Genetic Algorithm: A Case Study at Universitas Riau by Reno Widi Respati, Dian Ramadhani

“…This study developed a web-based lecture scheduling application using a genetic algorithm for the Faculty of Engineering, University of Riau. …”
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Prediction of Scale Synchronization Instability by V. E. Lankin, A. K. Schaschkin

“…Based on the models of long-term care scales algorithms to estimate parameters of these processes and their prediction are created. …”
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Artificial intelligence: development in Russia and main beneficiaries by J. A. Konopleva, O. N. Pakova, R. Yu. Grigoryan

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Employing Efficient Algorithms to Reduce the Distance Traveled in Location-Routing Problems Considering Travel and Service by Amir-Mohammad Golmohammadi, Alireza Goli, Hasan Rasay

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Augmented Reality for Learning Algorithms: Evaluation of Its Impact on Students’ Emotions Using Artificial Intelligence by Mónica Gómez-Ríos, Maximiliano Paredes-Velasco, J. Ángel Velázquez-Iturbide, Miguel Ángel Quiroz Martínez

“…However, its application is much less common in more abstract fields, such as programming and algorithms. Some augmented reality apps for algorithm education exist, but their effect remains insufficiently assessed. …”
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Analyzing Blockchain Consensus Mechanisms for Internet of Things Networks by Maxim Melnikov, Elena Igonina

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