Enhancing Solar Convection Analysis With Multi‐Core Processors and GPUs by Arash Heidari, Zahra Amiri, Mohammad Ali Jabraeil Jamali, Nima Jafari Navimipour

“…Because they let different kinds of data be worked on separately, parallel algorithms are a good way to speed up this kind of work. …”
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Methodology for determining and controlling the load capacity of integrated circuits by Gennady P. Shopin, Alina A. Denisyuk, Mikhail N. Piganov

“…It includes a model, a control device and an algorithm for its functioning. A well-known model was used, which was adapted to specific development and research tasks. …”
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Theory and optimization of double-walled carbon nanotube reinforced rubber composites for underwater sound absorption by Junyu Li, Xiaomeng Li, Siyang Li, Shande Li, Zhifu Zhang

“…This study explores the application of double-walled carbon nanotubes (DWCNTs) in underwater acoustic materials, aiming to overcome the low-frequency absorption limitations of traditional materials. Four main aspects were investigated: first, the mechanical properties of armchair-type DWCNTs were calculated based on molecular dynamics, and the equivalent mechanical parameters of the DWCNTs-reinforced rubber composites were computed by the Halpin-Tsai model. …”
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Efficient traffic management with adaptive SDN in vehicular networks by Sherine Jenny Rajan, Sugirtham Narayanaswamy, Thiyaneswaran Balashanmugam, Kumarganesh Sengottaiyan, Anthoniraj Selvaraj, Pratham Majumder, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene

“…Improved QoS, better traffic flow management, and scalable solutions for dynamic vehicular networks are some of the main results.…”
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Copyright Research Protocol for Comprehensive Assessment of the Dento-Alveolar Complex in Patients with Temporomandibular Joint Disorders: Clinical Cases by S. V. Tekucheva, E. A. Bazikyan, Ya. I. Afanasyeva, M. A. Postnikov

“…The authors presented and proved clinically the algorithm of morphofunctional diagnostics for the dento-alveolar complex of patients with temporomandibular joint disorders, combining clinical, anthropometric, radiological and functional methods of examination, which allow the most dento-alveolar characteristics to be considered in order to make the main diagnosis and a personalized treatment protocol for such groups of patients…”
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Comparing an Artificial Intelligence Planner with Traditional Optimization Methods: A Case Study in the Dairy Industry by Felipe Martins Müller, Vanessa Andréia Schneider, Olinto Cesar Bassi de Araujo, Claudio Roberto Scheer Júnior, Guilherme Lopes Weis

“…Dairy products are highly perishable; therefore, the main optimization objective is to minimize <i>Tmax</i>, i.e., the total time to meet demand, ensuring that the products are available at the distribution center with a viable shelf life for commercialization. …”
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Bayesian Network-Based Landslide Susceptibility Safe Route Assessment in the Face of Uncertain Knowledge and Various Information by Xinyu Gao, Bo Wang, Wen Dai, Yuanmin Liu

“…The main contributions of this study include identifying the key factors influencing landslide hazards, developing a robust landslide susceptibility map (LSM), and improving the A* algorithm to ensure safe route planning in landslide-prone areas. …”
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Machine Vision Applications for Welfare Monitoring in Aquaculture: Challenges and Opportunities by Amy Fitzgerald, Christos C. Ioannou, Sofia Consuegra, Andrew Dowsey, Carlos Garcia de Leaniz

“…We examined the practical applications of MV for welfare monitoring in aquaculture, the hardware and algorithms used for automated data collection, and the main challenges and solutions for data processing and analysis. …”
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Nematophagous Fungi Occurrence: Prediction Using Bioclimatic Variables by Ana Martha Cruz-Avalos, Montserrat Chagoya-Sánchez, César Andres Ángel-Sahagún, Ana Isabel Mireles-Arriaga, Griselda Maki-Díaz, René Loredo-Portales, Jesús Hernández-Ruíz

“…The environmental and bioclimatic characteristics of positive sampling sites were evaluated using the maximum entropy algorithm, with 22 bioclimatic variables as predictors; among them, the main variables that promoted the occurrence of <i>Arthrobotrys</i> spp. were moisture regime (35.1%), precipitation of warmest quarter (21.3%), and altitude (20.5%). …”
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AquaCrop Plug-in-PSO: A novel irrigation scheduling optimization framework for maize to maximize crop water productivity using in-season weather forecast and crop yield estimation by Mahdi Gholami Sharafkhane, Ali Naghi Ziaei, Seyed Mohammadreza Naghedifar, Amir Akbari, Amir Verdi

“…Enhancing maize irrigation management is critical for alleviating the pressure on limited freshwater resources in Khorasan Razavi province. The main objective of this study was to develop a novel irrigation scheduling optimization framework (AquaCrop plug-in-PSO) for maize, based on in-season weather forecasts integrated with the AquaCrop plug-in model and the particle swarm optimization (PSO) algorithm. …”
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Association between the (neutrophil + monocyte)/albumin ratio and all-cause mortality in sepsis patients: a retrospective cohort study and predictive model establishment according... by Lulu Liu, Qian Ma, Guangzan Yu, Xuhou Ji, Hua He

“…Moreover, we employed Boruta algorithm to evaluate the predictive potential of the NMa ratio and established the prediction models utilizing machine learning algorithms. …”
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Analyzing Blockchain Consensus Mechanisms for Internet of Things Networks by Maxim Melnikov, Elena Igonina

“…The consensus mechanism is the main component of blockchain technology, which allows multiple nodes to agree on a consistent view of data within the blockchain network. …”
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Impact of Climate Change on the Narrow Endemic Herb Psilopeganum sinense (Rutaceae) in China by Ruixiong Deng, Kaitong Xiao, Xin Chen, Beibei Huang, Haoran Li, Lin Wu, Hang Ning, Hui Chen

“…In this study, we aimed to use the random forest (RF) algorithm to analyze the redistribution of P. sinense across several critical climatic periods. …”
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A new method for rapid construction of multi-band vegetation index by Chenbo Yang, Juan Bai, Hui Sun, Rutian Bi, Lifang Song, Chao Wang, Yu Zhao, Wude Yang, Lujie Xiao, Meijun Zhang, Xiaoyan Song, Meichen Feng

“…In order to further improve the accuracy of using vegetation index method to monitor the growth physiological parameters of winter wheat, this study proposed a new method based on the genetic algorithm that can quickly construct multi-band vegetation index. …”
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Applying Quran Security and Hamming CodesFor Preventing of Text Modification by Baghdad Science Journal

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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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A survey on localization and energy efficiency in UWSN: bio-inspired approach by J. Murali, T. Shankar

“…In this comprehensive survey, the basics of UWSNs are covered in the introduction, followed by a thorough literature review of the existing works mainly focusing on localization, energy efficiency, Bio-inspired algorithms (BIA), and the impact of implementing Machine Learning (ML) are discussed. …”
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Continuous prediction of human knee joint angle using a sparrow search algorithm optimized random forest model based on sEMG signals by Liuyi Ling, Zhu Lin, Bin Feng, Liyu Wei, Li Jin, Yiwen Wang

“…Continuous prediction of human joint angles is crucial for enhancing the performance of man-machine cooperative control. This study proposed a random forest (RF) model optimized by the sparrow search algorithm (SSA) for achieving continuous motion prediction of the lower limb knee joint based on surface electromyography(sEMG) under various motion modes. …”
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Generation of Dimensioned Floor Plans for a Given Boundary Layout by Pinki Pinki, Krishnendra Shekhawat, Dipam Goswami, Ujjwal Jain

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OPTIMAL LOSSES IN POWER DISTRIBUTION NETWORKS by M. I. Fursanov

“…The developed structural algorithm of technical losses of electricity in network 0,38–10 kV allows evaluating actual and optimal network loading, to determine minimum and reserves of losses enhancement, but it can be realize only when loading of lines and transformers is low. …”
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