Algorithms for Railway Embedded Control Devices for Safety Manoeuvres by Beinaroviča Anna, Gorobetz Mikhail, Alps Ivars

“…However, the situation when the locomotive needs to drive on the rails occupied with other wagons, for example, during the manoeuvres on the railway station can also appear. For this purpose, the authors have developed a CNN algorithm for the wagon recognition on the rails.…”
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Improvement of Differential Privacy K-means Clustering Algorithm by GUO Rumin, CHEN Xuebin, SHAN Liyang

“…Comparative experiments on three different feature datasets are conducted to evaluate the improved algorithm. The improved algorithm achieves a 14% increase in F-measure value, not only reducing the impact of added noise on clustering performance but also ensuring the usability of clustering results.…”
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Probing bad theories with the dualization algorithm. Part II. by Simone Giacomelli, Chiung Hwang, Fabio Marino, Sara Pasquetti, Matteo Sacchi

“…The paper is accompanied by a Mathematica file which implements the algorithm for an arbitrary unitary bad linear quiver.…”
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Optimization Algorithm and Application of Hybrid NSGA-II and DE by LI Yan, ZHANG Guang-wu

“…The optimization algorithm was verified by MATLAB. The results show that the optimized algorithm has been improved in both distribution and convergence，and the capacity of search solution has also been improved. …”
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Algorithmic Assemblages of Power: AI Harm and the Question of Responsibility by Paola Ricaurte Quijano

“…Its current form not only impacts society at multiple levels but also actively reproduces harm and structural violence at scale, exacerbating power asymmetries both within and across nations. …”
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A graph algorithm for the time constrained shortest path by Pan Liu, Wulan Huang

“…Experimental results show that our algorithm not only requires less running time than some classical graph algorithms but also can work immediately in the first stage without knowing the information of both the destination and a specific time constraint.…”
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Blind mask template attacks on masked cryptographic algorithm by Yi WANG, Zhen WU, Bing LIN

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Convergence of Adaptive Algorithms for Equilibrium Problems in Hadamard Spaces by Serhii V. Denysov, Oleksandra Yu. Kovalenko, Vladimir V. Semenov

“…Then we prove strong convergence of Halpern regularization of adaptive extraproximal algorithm. Also it is shown that proposed algorithms are applicable to variational inequalities with Lipschitz-continuous, sequentially weakly continuous and pseudo-monotone operators acting in Hilbert spaces.…”
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Intelligent Recommendation Algorithm Combining RNN and Knowledge Graph by Fengsheng Zeng, Qin Wang

“…The impact of smart recommendation algorithm has both advantages and disadvantages; it can facilitate people’s life, but also exists at the same time the invasion of privacy, information cocoon, and other problems. …”
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A weighted and distributed algorithm for multi-hop localization by Juan Cota-Ruiz, Rafael Gonzalez-Landaeta, Jose David Diaz-Roman, Boris Mederos-Madrazo, Ernesto Sifuentes

“…Simulations demonstrate that this weighted localization approach, when compared with other schemes, can be suitable to be used as a refinement stage to improve localization in both isotropic and anisotropic networks. Also, under rough initial position estimates, the proposed algorithm achieves root mean square error values less than the radio range of unknown sensors, in average, with only a few iterations.…”
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The Algorithm for Substantiating Development of Products of Functional and Specialized Purpose by A. M. Marhunova, S. A. Kandratsenka, S. N. Vislavukhava

“…In the Republic of Belarus the demand for such food is also rising. The article provides results of analyzing the overseas experience in promoting foods with innovative composition and puts forward algorithm of marketing substantiation of development of new products of functional and specialized purpose, which was tested by muesli bars as an additional source of food fibre and product without sugar. …”
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An overview of the activation functions used in deep learning algorithms by Mete Çelik, Kemal Adem, Serhat Kılıçarslan

“…Deep learning models are of particular importance in analyzing big data with numerous parameters and forecasting and are useful for image processing, natural language processing, object recognition, and financial forecasting. Also, in deep learning algorithms, activation functions have been developed by taking into account features such as performing the learning process in a healthy way, preventing excessive learning, increasing the accuracy performance, and reducing the computational cost. …”
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A Review of Link Prediction Algorithms in Dynamic Networks by Mengdi Sun, Minghu Tang

“…Meanwhile, the basic ideas, advantages, and disadvantages of these algorithms are discussed in detail. The application fields and challenges in this area are also summarized. …”
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TACIT COLLUSION UNDER COMPETITION LAW: PRICING ALGORITHMS by Stella Solernou SANZ

“…Algorithms eliminate elements of spontaneity in market and may result in supracompetitive prices. …”
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A Stochastic Learning Algorithm for Machine Fault Diagnosis by Zhipeng Dong, Yucheng Liu, Jianshe Kang, Shaohui Zhang

“…To solve this problem, a new method, named stochastic learning algorithm (SL), is proposed in this paper for dimension reduction. …”
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Artificial Intelligence and/or Machine Learning Algorithms in Microalgae Bioprocesses by Esra Imamoglu

“…Commonly employed ML algorithms, including the support vector machine (SVM), genetic algorithm (GA), decision tree (DT), random forest (RF), artificial neural network (ANN), and deep learning (DL), each have unique strengths but also present challenges, such as computational demands, overfitting, and transparency. …”
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New Insights into Fuzzy Genetic Algorithms for Optimization Problems by Oleksandr Syzonov, Stefania Tomasiello, Nicola Capuano

“…Afterward, some additional benchmarks were retrieved from the literature for a fair comparison against published results, which were obtained by means of former variants of fuzzy genetic algorithms. A real-world application problem, which was retrieved from the literature and dealt with rice production, was also tackled. …”
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A Survey of Approximation Algorithms for the Power Cover Problem by Jiaming Zhang, Zhikang Zhang, Weidong Li

“…Specifically, it introduces nonlinear integer programming formulations for the power cover problem and its related variants, all within the specified sensor setting. It also provides a comprehensive overview of the power cover problem and its variants under both specified and unspecified sensor settings, summarizes existing results and approximation algorithms, and outlines potential directions for future research.…”
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Reinforcement Learning Based Acceptance Criteria for Metaheuristic Algorithms by Oğuzhan Ahmet Arık, Gülhan Toğa, Berrin Atalay

“…Abstract This paper proposes novel reinforcement learning-based acceptance criteria for metaheuristic algorithms. We develop Q-learning and Deep Q-learning-based acceptance criteria and integrate them into simulated annealing (SA) and artificial bee colony (ABC) algorithms. …”
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Named Entity Recognition for Nepali: Data Sets and Algorithms by Nobal Niraula, Jeevan Chapagain

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