A topology optimization algorithm for electroelasticity coupled problems by Novokshenov Aleksei, Abdulin Ilya, Vershinin Denis

“…A topology optimization algorithm was formulated and implemented (as program code in Python) for bodies under the action of the coupled electric and mechanical fields. …”
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Modelling and algorithms of highway transportation network in urban agglomerations by Shuoqi Wang, Zhanzhong Wang

“…Abstract In urban agglomerations, land transport is the main way to connect cities, and highway transportation occupies a dominant position, which plays a very important role in the development of urban agglomerations. …”
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Tuning Genetic Algorithm Parameters to Improve Convergence Time by Maria Angelova, Tania Pencheva

“…For the purpose of parameter identification of a fed-batch cultivation of S. cerevisiae altogether four kinds of simple and four kinds of multipopulation genetic algorithms have been considered. Each of them is characterized with a different sequence of implementation of main genetic operators, namely, selection, crossover, and mutation. …”
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Algorithms for Railway Embedded Control Devices for Safety Manoeuvres by Beinaroviča Anna, Gorobetz Mikhail, Alps Ivars

“…For this purpose, the authors have developed a CNN algorithm for the wagon recognition on the rails.…”
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Algorithms for Increasing the Accuracy of Solid-State Wave Gyroscopes by K. A. Smirnov, E. A. Zarubailo

“…The use of the developed algorithm for reducing the instability of the zero-velocity signal allowed its root-mean-square deviation at startup to be decreased by 76.4 %. …”
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Dust detection algorithm based on improved YOLOv5 by Qinghua CHEN, Junwei ZHANG, Yingsong CHENG, Xu ZHANG, Jianhua CHENG

“…Finally, ablation experiments and comparative experiments were designed to verify the effectiveness of the improved algorithm. The experimental results show that the mean Average Precision (mAP) of the improved algorithm can reach 92.11% and the detection speed reaches 37 frames persecond.…”
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An Effective Algorithm for Collision Resolution in Security Policy Rules by Sergey V. Morzhov, Valeriy A. Sokolov

“…A firewall is the main classic tool for monitoring and managing the network traffic on a local network. …”
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Optimization Algorithm and Application of Hybrid NSGA-II and DE by LI Yan, ZHANG Guang-wu

“…The algorithm takes DE as the main optimization method，and uses the basic idea and crossover and mutation method of genetic algorithm. …”
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Datacasting: TikTok’s Algorithmic Flow as Televisual Experience by Ellenrose Firth, Alberto Marinelli

“…Recommendation algorithms have acquired a central role in the suggestion of content within both subscription video on demand (SVOD) and advertising-based video on demand (AVOD) services and media-sharing platforms. …”
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Mapping the social implications of platform algorithms for LGBTQ+ communities by David Myles, Stefanie Duguay, Lucia Flores Echaiz

“…At the intersection of media and communication studies, science and technology studies, as well as gender and sexuality studies, this paper maps the main issues that platform algorithms raise for LGBTQ+ users and analyzes their implications for social justice and equity. …”
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BOC Signal Acquisition Algorithm Based on Similar Enfoldment by Qi Han, Kejia Zhu, Caibo Hu, He Zhao, Shuang Wu, Yu Fu

“…The SEA algorithm utilizes the similarity between the main peak and the secondary peak to construct a new ACF to eliminate the ambiguity of the BOC signal. …”
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Flower fertilization optimization algorithm with application to adaptive controllers by Hazim Albedran, Shaymaa Alsamia, Edina Koch

“…Abstract This article presents the Flower Fertilization Optimization Algorithm (FFO), a novel bio-inspired optimization technique inspired by the natural fertilization process of flowering plants. …”
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An Improved YOLOv9s Algorithm for Underwater Object Detection by Shize Zhou, Long Wang, Zhuoqun Chen, Hao Zheng, Zhihui Lin, Li He

“…Monitoring marine life through underwater object detection technology serves as a primary means of understanding biodiversity and ecosystem health. …”
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The functional voxel algorithm for iterative composition of complex contours by A. A. Sycheva, A. M. Plaksin

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Adversarial patch defense algorithm based on PatchTracker by Zhenjie XIAO, Shiyu HUANG, Feng YE, Liqing HUANG, Tianqiang HUANG

“…The application of deep neural networks in target detection has been widely adopted in various fields.However, the introduction of adversarial patch attacks, which add local perturbations to images to mislead deep neural networks, poses a significant threat to target detection systems based on vision techniques.To tackle this issue, an adversarial patch defense algorithm based on PatchTracker was proposed, leveraging the semantic differences between adversarial patches and image backgrounds.This algorithm comprised an upstream patch detector and a downstream data enhancement module.The upstream patch detector employed a YOLOV5 (you only look once-v5) model with attention mechanism to determine the locations of adversarial patches, thereby improving the detection accuracy of small-scale adversarial patches.Subsequently, the detected regions were covered with appropriate pixel values to remove the adversarial patches.This module effectively reduced the impact of adversarial examples without relying on extensive training data.The downstream data enhancement module enhanced the robustness of the target detector by modifying the model training paradigm.Finally, the image with removed patches was input into the downstream YOLOV5 target detection model, which had been enhanced through data augmentation.Cross-validation was performed on the public TT100K traffic sign dataset.Experimental results demonstrated that the proposed algorithm effectively defended against various types of generic adversarial patch attacks when compared to situations without defense measures.The algorithm improves the mean average precision (mAP) by approximately 65% when detecting adversarial patch images, effectively reducing the false negative rate of small-scale adversarial patches.Moreover, compared to existing algorithms, this approach significantly enhances the accuracy of neural networks in detecting adversarial samples.Additionally, the method exhibited excellent compatibility as it does not require modification of the downstream model structure.…”
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Hybrid quadratic diagonal algorithm for thinning contour lines by Mamatov Narzullo, Jalelova Malika, Fayziev Vohid, Samijonov Abdurashid, Samijonov Boymirzo

“…One of the main issues of image analysis is the separation of contour lines. …”
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Testing Method for Software With Randomness Using Genetic Algorithm by Xiangjuan Yao, Dunwei Gong, Bin Li, Xiangying Dang, Gongjie Zhang

“…The main task of software testing is the generation of test data with high quality in restricted time. …”
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Algorithm for Selection Equipment to Reduce the Technogenic Effect on the Environment by Kozii I.S., Plyatsuk L.D., Koval V.V.

“…The need for the research was necessitated by the inefficiency of environmental measures taken due to the huge number of devices with different designs for emissions’ purification, their non-universality and low efficiency of the purification systems. The main goal of the study was to develop a software algorithm for the reasonable choice of the optimal dust and gas purification equipment, taking into account the actual conditions of the technological environment and the characteristics of pollutants. …”
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Genetic algorithm in the design of soybean silos for airflow homogenization by Daniel Petravicius, Manuel O. Binelo, Marcia de F. B. Binelo, Vanessa Faoro, José A. G. da Silva

“…ABSTRACT One of the main processes used to maintain grain quality in large storage bins is aeration. …”
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Scheduling with sequence-dependent setup times in short-term production planning: A main path analysis-based review by Kuo-Ching Ying, Pourya Pourhejazy, Zhi-Rong Lin

“…This study aims to provide a systematic review of setup times in the short-term production planning literature, using an objective, algorithm-based approach. The Main Path Analysis (MPA) and Cluster Analysis (CA) methods are employed to identify patterns of knowledge development and the most significant advancements in the field. …”
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