Real-Time Estimation Method of P-Wave Slowness Based on Kalman Filtering and STC by SUN Hao, CHEN Wenhui, SUN Xuekai, YU Weidong, LI Siyi, ZHAO Peng

“…How to achieve stable interval time extraction while ensuring timeliness is a challenging problem. …”
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Based on Fuzzy Measure Algorithm Message Adaptive Rate Algorithm of Internet of Things by Zhijie Zhang

“…The value of ADR_ MSG_CNT of the 15 source nodes in the method was 30 within 0–10 s, while the RCV_ACK_CNT of some nodes was 0. It proved that the method was more efficient than the original LoRaWAN adaptive data rate control algorithm.…”
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Algorithmic Gossiping: sharing and non-sharing that evolve algorithmic imaginaries to folk theories by Gaohui Cao, Zhang Wen, Puyi Liu

“…Our preliminary findings suggest that algorithmic gossiping plays a pivotal role in the construction of users’ algorithmic knowledge as it confirms and articulates their algorithmic imaginaries while breaking existing bias. …”
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Deciphering algorithmic collusion: Insights from bandit algorithms and implications for antitrust enforcement by Frédéric Marty, Thierry Warin

“…While regulatory measures could mitigate collusive risks, they might also impede the development of algorithmic technologies. …”
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How Students Behave while Solving Critical Thinking Tasks in an Unconstrained Online Environment: Insights from Process Mining by Anastasia Beliaeva

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Temporal prediction and feedforward control in cerebellar ataxia during spontaneous, instructed, and adaptive auditory-motor coupling while walking by Lousin Moumdjian, Bart Moens, Mario Manto, Pierre Cabaraux, Bart Van Wijmeersch, Daphne Kos, Marc Leman, Peter Feys

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Integrative review in PhD admissions: A case study of efficiently minimizing bias while maximizing the student narrative. by Minerva A Orellana, Danielle J Beetler, Carmen J Silvano, Ryan Wuertz, Jennifer L Weisbrod, Lewis R Roberts, Anthony J Windebank, Felicity T Enders, Marina R Walther-Antonio

“…Results showed that classic admissions review processes were prone to bias towards admission of specific students while integrative application review did not demonstrate this trend. …”
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Improved ant colony algorithm based cloud computing user task scheduling algorithm by Sining LUO, Hualong WANG, Hongyu LI, Wei PENG

“…In recent years,with the development of power information,more and more power applications and tasks are deployed in the cloud.Because of the dynamic heterogeneity of cloud resources and power applications,it is a challenge in the cloud computing system to realize resource division and task scheduling.Power applications need to be able to achieve a rapid response and minimum completion time,and schedulers should consider the load of each cloud computing node to ensure the reliability of cloud computing.A task scheduling algorithm based on the algorithm of improving an ant colony was proposed to solve the problem of task scheduling in virtual machines.Through the improvement of the standard ant colony algorithm,the task scheduling time was reduced and load balancing was realized while minimizing the overall completion time.The results show that the algorithm can shorten the task scheduling time and realize the load balancing of cloud nodes,which provides technical basis for the optimization of power cloud computing.…”
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Improved grey wolf optimization algorithm based service function chain mapping algorithm by Yue ZHANG, Junnan ZHANG, Xiaochun WU, Chen HONG, Jingjing ZHOU

“…With the rise of new Internet applications such as the industrial Internet, the Internet of vehicles, and the metaverse, the network’s requirements for low latency, reliability, security, and certainty are facing severe challenges.In the process of virtual network deployment, when using network function virtualization technology, there were problems such as low service function chain mapping efficiency and high deployment resource overhead.The node activation cost and instantiation cost was jointly considered, an integer linear programming model with the optimization goal of minimizing the average deployment network cost was established, and an improved grey wolf optimization service function chain mapping (IMGWO-SFCM) algorithm was proposed.Three strategies: mapping scheme search based on acyclic KSP algorithm, mapping scheme coding and improvement based on reverse learning and nonlinear convergence were added to the standard grey wolf optimization algorithm to form this algorithm.The global search and local search capabilities were well balanced and the service function chain mapping scheme was quickly determined by IMGWO-SFCM.Compared with the comparison algorithm, IMGWO-SFCM reduces the average deployment network cost by 11.86% while ensuring a higher service function chain request acceptance rate.…”
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Comparison of Dynamic Programming Algorithm and Greedy Algorithm on Integer Knapsack Problem in Freight Transportation by Global Ilham Sampurno, Endang Sugiharti, Alamsyah Alamsyah

“…The results of this research are made from the results obtained by the Dynamic Programming Algorithm with total weight 5022 kg in 7 days. While the calculation result obtained by Greedy Algorithm, that is total weight of delivery equal to 4496 kg in 7 days. …”
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Chain hybrid feature selection algorithm based on improved Grey Wolf Optimization algorithm. by Xiaotong Bai, Yuefeng Zheng, Yang Lu, Yongtao Shi

“…In particular, the wrapper algorithm is an improved Grey Wolf Optimization (IGWO) algorithm based on random disturbance factors, while the parameters are adjusted to vary randomly to make the population variations rich in diversity. …”
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The Mode of Constructing Safe Trajectories of Motion of the Unmanned Aerial Vehicle while Monitoring Power Lines Considering the Influence of their Electromagnetic Fields by Shabanova A.R., Tolstoy I.M., Lebedev I.V.

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Statistical Analysis Method for Optimal Prameters of Telemetry Communication by XIE Jun, WU Sailong, HAO Hang, ZHANG Songwei, WU Ruiqing, SUN Xiangyang

“…In order to improve the performance of telemetry of logging while drilling (TLWD) in complex drilling environment, the telemetry communication system is developing towards the trend of multi-architecture, multi-modal and multi-method, which brings a complication and inefficiency in the processing of selecting the optimal communication parameters. …”
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BANK STRATEGIC DEVELOPMENT ALGORITHM by N. G. Korosteliov

“…Network model development algorithm is brought about. While implementing the network-based approach for bank development planning, system analysis should be used stage-by-stage.…”
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Hybrid Algorithm for Image Denoising by Hanan Ali

“…The first method adopts the conservative smoothing filter while the second one uses the median filter. The result of each method is compared with the new result outcome from the application of the new hybrid algorithm.…”
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Algorithmic systems: the consent is in the detail? by Alexandra Giannopoulou

“…Applications of algorithmically informed decisions are becoming entrenched in society, with data processing being their main process and ingredient. …”
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Low‐rank isomap algorithm by Eysan Mehrbani, Mohammad Hossein Kahaei

“…The superiority of the LRI algorithm compared to some state‐of‐art algorithms is experimentally verified on facial image clustering in terms of speed and accuracy.…”
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Algorithmic configurations in caring arrangements by Sonja Trifuljesko, Minna Ruckenstein

“…This article examines heterogeneous forms of human relationalities with algorithms envisioned in the development of a public algorithmic system and their anticipated effects. …”
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Gutek: Intelligent Revision Algorithms by Lukasz Galka

“…By leveraging the Spring Framework, the system automates essential processes such as dependency injection, component management, and database operations via Spring Data JPA, while employing reflection to dynamically integrate new revision algorithms, charts, and custom card types. …”
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Quantum Algorithms for the Pathwise Lasso by Joao F. Doriguello, Debbie Lim, Chi Seng Pun, Patrick Rebentrost, Tushar Vaidya

“…Furthermore, we show that, when the observations are sampled from a Gaussian distribution, our quantum algorithm's complexity only depends polylogarithmically on $n$, exponentially better than the classical LARS algorithm, while keeping the quadratic improvement on $d$. …”
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