Degree-Based Entropy for a Non-Kekulean Benzenoid Graph by Md. Ashraful Alam, Muhammad Usman Ghani, Muhammad Kamran, Muhammad Shazib Hameed, Riaz Hussain Khan, A. Q. Baig

“…With the total π-electron energy, these indices have a lot of iteration. In addition, we use graph entropies to determine the structural information of a non-Kekulean benzenoid graph. …”
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The Interfaces Twitter Elections Dataset: Construction process and characteristics of big social data during the 2022 presidential elections in Brazil. by Sylvia Iasulaitis, Alan Demétrius Baria Valejo, Bruno Cardoso Greco, Vinicius Gonçalves Perillo, Guilherme Henrique Messias, Isabella Vicari, with the Interfaces—Center for Sociopolitical Studies of Algorithms and Artificial Intelligence

“…The "token farm" algorithm, was employed to iterate over available API keys. While Twitter is generally a "public" access platform and fits into big data standards, extracting valuable information is not trivial due to the volume, speed, and heterogeneity of data. …”
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Dynamic Gust Load Analysis for Rotors by Yuting Dai, Linpeng Wang, Chao Yang, Xintan Zhang

“…Hence, the widely used Newton-Raphson iteration algorithm is employed to simulate the dynamic gust load. …”
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Classification of short-term flood events using stochastic variable selection and Gaussian Naïve Bayes classifier: A case study of Sirajganj district, Bangladesh by Chandan Mondal, Md Jahir Uddin

“…The model is then validated using four iterations derived from the MAPE of the GNB classification method for Twenty-five percent mean error rates from 4-fold cross-validation indicate that this classification model is suitable for flood forecasting. …”
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Computational Game Unit Balancing based on Game Theory by Emre Önal, Abdullah Bülbül

“…Optimizing game elements through iterative human playtests can be time-consuming and insufficient for games with complex intransitive mechanics. …”
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A Data-Driven Approach for Reactive Power Optimization Incorporating Interval Values for Renewable Power Generation by Honglei Jia, Cong Zhang, Jieming Du, Na Kuang

“…The proposed method uses an improved particle swarm optimization algorithm to solve the RPO problem. In each iteration, the uncertain power flow is solved using the optimizing-scenarios method- (OSM-) based interval power flow (IPF) algorithm. …”
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Intelligent reflecting surface design for 6G-assited Internet of things by Zhaorui WANG, Liang LIU, Hang LI, Shuguang CUI

“…In the era of the 6G cellular networks,the base station (BS) should be able to provide seamless connectivity for a large number of Internet of things (IoT) devices distributed in various areas.However,constrained by their locations,some IoT devices may possess unreliable communication channels to the BS due to the obstacles between them.It is a big obstacle on the roadmap towards the massively connected IoT networks in the era of 6G .To tackle this challenge,the possibility was studied to employ the newly emerging technique of intelligent reflecting surface (IRS) for enhancing the strength of the IoT devices’ signals at the BS.Specifically,the transmit power minimization problem in an uplink IoT communication system was focused on,where the overhead for channel estimation was taken into account.On one hand,for the case where the BS was equipped with a small or moderate number of antennas,an iterative algorithm was proposed to jointly optimize the user power allocation,the IRS reflecting coefficients,and the BS beamforming vectors.On the other hand,for the case where the BS had a massive number of antennas,i.e.…”
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Research and practice on technologies for full stack deployment of autonomous networks by Fei XUE, Bin CHEN, Jing LIU, Xiaoyang LIANG, Lin ZHU, Feng WANG, Tian LI, Liang ZHANG, Zhenzhen CHEN, Xiao LI

“…Autonomous networks achieve network self management, self optimization, and self repair by building intelligent network infrastructure.Autonomous network was divided into two key stages: AI model building and AI model deployment.However, the industry paid less attention to AI model deployment.The deployment phase of autonomous networks was systematically studied.Firstly, it elaborated on the independent deployment mode and full stack deployment mode of autonomous networks, and pointed out that full stack deployment was the main direction.Secondly, a detailed introduction was given to the full stack architecture with “five layers, dual domains, and four closed-loops”, which achieved full life cycle intelligence through a layered closed-loop design of resources and processes.Then, three core technologies for independent innovation were proposed: AI model training and inference integration to achieve rapid iterative updates of models, AI fabric technology to achieve customized application by rapid construction, and AI model cloud-edge collaborative deployment technology to achieve efficient application.Finally, the effectiveness of these three core technologies was verified through cases such as anomaly detection, smart telecommunication rooms, and equipment inspections.The deployment of autonomous networks was systematically explored, especially in terms of architecture design and core technology innovation, which had important reference value for telecommunication operators’ network digital transformation.…”
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Marshall–Olkin Extended Gumbel Type-II Distribution: Properties and Applications by Farwa Willayat, Naz Saud, Muhammad Ijaz, Anita Silvianita, Mahmoud El-Morshedy

“…A simulation study is conducted using three different iterative methods with different samples of sizes n. …”
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The landscape of spiritual health and spirituality in Canada: A scoping review protocol. by Helana Marie Boutros, Merna Mina, Nelly Van Doorn-Harder, Maurita T Harris

“…Relevant variables will be extracted through an iterative process, with the data charting being continuously reviewed and refined. …”
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Design and development of an interactive consultation application for mental health management and support by Muhammad Rizky, Ikrimach

“…By integrating professional expertise with user-friendly technology, this research sets a precedent for addressing growing mental health needs through scalable digital solutions. Future iterations could expand multilingual capabilities, further broadening its reach and impact.…”
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Crack identification in plates-type structures using natural frequencies coupled with success-history based adaptive differential evolution algorithm by Brihmat Chahira�, Nasreddine Amoura, Samir Lecheb, Hocine Kebir, Mohamed Abdessamed Ait Chikh, Bassima Tablit

“…The results of the study demonstrate that the proposed approach achieves promising results with just a population size of 25 and 150 iterations. The outcomes show high accuracy, as indicated by a relative error of the objective function below 0.8%. …”
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Viscosity Methods of Asymptotically Pseudocontractive and Asymptotically Nonexpansive Mappings for Variational Inequalities by Xionghua Wu, Yeong-Cheng Liou, Zhitao Wu, Pei-Xia Yang

“…As an application, if 𝑇 be an asymptotically nonexpansive self-mapping of a nonempty bounded closed convex subset 𝐾 of a real Banach space with a uniformly Gateaux differentiable norm and which possesses uniform normal structure, we prove that the iterative process defined by 𝑧0∈𝐾,𝑧𝑛+1=(1−𝑡𝑛/𝑘𝑛)𝑓(𝑧𝑛)+(𝛼𝑡𝑛/𝑘𝑛)𝑇𝑛𝑧𝑛+(𝛽𝑡𝑛/𝑘𝑛)𝑧𝑛 converges strongly to the fixed point of 𝑇.…”
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STUDY ON THE MECHANISM OF INFLUENCE OF INTERNAL GEAR RING FLEXIBILITY ON THE BIAS LOAD BEHAVIOR OF AERONAUTICAL PLANETARY GEAR SYSTEM by DING Shuo, LUO Yuan, LI Ming, NING Yongxu

“…The planetary gear system is widely used in aircraft transmission equipment because of its small size, light weight and large load capacity，but the problem of bias load caused by various errors cannot be avoided, and a serious bias load condition will lead to under utilization of the advantages of the planetary system cannot be fully exploited.The influence mechanism of the flexible change of the inner gear ring on the bias load behavior of the system was investigated by taking a certain type of aeronautical planetary gear system as the research object.The deflection，stress and strain of the inner gear ring were measured by experiments with different number of planets and different rim thicknesses, and the mechanism of bias load was analyzed and the degree of influence of the number of planets and rim thickness on the bias load behavior of the system was evaluated.The advanced simulation calculation and analysis of a large aeronautical planetary system was completed by using a hierarchical finite element model to quantify the influence mechanism of the variation of inner gear ring flexibility on the load distribution and gear ring deflection of the system.The accuracy of the simulation results was evaluated by fitting the experimental and simulation results to the same parameter range for comparison.The research results provide targeted structural optimization guidance for the development and design of internal gear rings of large aeronautical planetary gear systems, which can greatly reduce the cost of this type of large aeronautical equipment in the design and iteration process.…”
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Progressive Detection of Uncertainty in Natural Language Processing Using a Labeled Variable Dimension Kalman Filter by Lingaraj K., S. Supreeth, Yerriswamy T., Dayananda P., Rohith S., Shruthi G.

“…This work focuses on a particular method for detecting uncertainty, termed progressive detection, which can be accomplished using a dynamic probabilistic graphical model to solve these challenges. We iteratively upgraded the Kalman Filter to Labeled Variable Dimension Kalman Filter (LVDKF) based on observations from real datasets. …”
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A Multiuser Detector Based on Artificial Bee Colony Algorithm for DS-UWB Systems by Zhendong Yin, Xiaohui Liu, Zhilu Wu

“…Then, the artificial bees randomly discover a population of initial solutions and then iteratively improve them by employing the behavior: moving towards better solutions by means of a neighbor search mechanism while abandoning poor solutions. …”
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Optimization of Teaching Evaluation System for Football Professional Teachers Based on Multievaluation Model by Zhiqiang Chen, Qingguo Chen

“…We introduced the standard PSO algorithm, including mathematical forms, iteration steps, and flowcharts. In addition, it also specifically describes the proposed new PSO improved algorithm, including the food chain strategy and reproduction strategy, as well as the implementation of the algorithm. …”
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Breaking the silos: integrated approaches to foster sustainable development and climate action by Oliver Lah

“…It proposes the SCALE framework [Shared epistemic foundations, Cross-sectoral integration, Adaptive co-design, Local enabling environments, and Evaluation & expansion) as way of operationalising the Safe Systems for Sustainable Development concept presented in Lah 2024, exploring how knowledge integration, iterative experimentation, and locally grounded solutuions can help creating implementation partnerships that last. …”
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Forecasting Renewable energy and electricity consumption using evolutionary hyperheuristic algorithm by Yang Cao, Jun Yu, Rui Zhong, Masaharu Munetomo

“…Additionally, the crossover and mutation rates of GA evolve over iteration time and fitness value space, further enhancing its adaptability. …”
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Research on the Estimation Model of Electrical Parameters of Silver-Based Contacts Based on Surface Morphology by Chao Wang, Xiancheng Wang, Chengjun Guo

“…Parameter optimization iterations and parameter space distribution optimization are performed using a decision tree, and the optimized predictive model forecasts specific electrical parameter values. …”
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