СONSTRUCTION AND THE ALGORITHM OPERATION OF THE LASER COMBINED FIRE DETECTOR by A. I. Kitsak, A. P. Lushchyk, D. L. Esipovich, V. N. Konon, I. V. Kavalchyk, O. A. Protasevich, I. B. Tretyak

“…The point optical smoke detector is currently the most effective means of fire detection at the early stage of its occurrence. …”
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Pre-university students’ perception on algorithmic biases of artificial intelligence by Elba Gutiérrez-Santiuste, Lourdes López-Pérez, Fátima Poza-Vilches, Daniel Molina-Cabrera, Rosana Montes-Soldado and Luis Alcalá

“…Students in vocational training have a higher perception of bias and those in baccalaureate have the lowest means. In this case, significant differences were found. …”
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Bioresource collections: algorithms for development and functioning; basic and applied significance by E. N. Kosobokova, N. A. Kalinina, M. A. Baryshnikova, V. S. Pokrovsky, O. N. Solopova, T. A. Bogush, V. S. Kosorukov

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MTAD: A Multitarget Heuristic Algorithm for Virtual Machine Placement by Lei Chen, Jing Zhang, Lijun Cai, Rui Li, Tingqin He, Tao Meng

“…Finally, we consider the poor placement efficiency problem of large-scale virtual serial requests and design a concurrent VM classification algorithm using the K -means method. Simulation experiments validate the performance of the algorithm in four aspects, including placement efficiency, resources utilization balance rate, wastage rate, and energy consumption.…”
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Translation Mechanism of Neural Machine Algorithm for Online English Resources by Yanping Ye

“…Specifically, this article uses the word alignment structure of statistical machine translation as the external vocabulary alignment information and introduces it into the decoding step of neural machine translation. The model is mainly based on neural machine translation, and the statistical machine translation vocabulary alignment structure is integrated on the basis of neural networks and continuous expression of words. …”
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Dynamic path planning using a modified genetic algorithm by Awang Hendrianto Pratomo, Oyas Wahyunggoro, Hendri Himawan Triharminto

“…Genetic algorithm (GA) is well-known algorithm to find a feasible path planning which can be defined as global optimum problem. …”
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The possibilities of debtor segmentation algorithmic modeling in the context of commercial lending by Chernichenko S., Kotov R.

“…The methodological component is devoted to the study of the fundamental principles which help construct the system of analytical indicators and establish their connection with the algorithmic model. The analytical and financial-engineering component of the scientific work which is of fundamental importance (as it reflects the implementation of the research focus), consists of five stages: 1) identification and thematic grouping of the creditor's risk indicators; 2) indicators unification in the form of the commercial debtor segmentation algorithm; 3) algorithmic model testing and performance evaluation; 4) explanation of cause-effect relationships strength between the interpenetrating exponents of the algorithmic model; 5) identification of the most valuable parameters (identifying factors) of credit analysis in the commercial lending sector. …”
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Specifics of the Algorithmic Prescriptions in the Learning Process of the Gymnastics Exercises’ Techniques by Victor BUFTEA

“…Obviously, algorithmic prescriptions condition the development of a strictly determined scheme and the uninterrupted performance of various motor actions. …”
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User preference information recommendation based on DCGNN and GNNPK algorithms by Nannan Cheng, Xiaoyang He

“…Especially when dealing with challenges such as user dynamic preferences, data noise, and cold start, the limitations of these systems become increasingly obvious, and more advanced algorithms are urgently needed to improve the personalization and accuracy of recommendations. …”
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Extended Blahut–Arimoto Algorithm for Semantic Rate-Distortion Function by Yuxin Han, Yang Liu, Yaping Sun, Kai Niu, Nan Ma, Shuguang Cui, Ping Zhang

“…Semantic communication has recently gained significant attention in theoretical analysis due to its potential to improve communication efficiency by focusing on meaning rather than exact signal reconstruction. In this paper, we extend the Blahut–Arimoto (BA) algorithm, a fundamental method in classical information theory (CIT) for computing the rate-distortion (RD) function, to semantic communication by proposing the extended Blahut–Arimoto (EBA) algorithm, which iteratively updates transition and reconstruction distributions to calculate the semantic RD function based on synonymous mapping in semantic information theory (SIT). …”
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Abnormal link detection algorithm based on semi-local structure by Haoran SHI, Lixin JI, Shuxin LIU, Gengrun WANG

“…With the research in network science, real networks involved are becoming more and more extensive.Redundant error relationships in complex systems, or behaviors that occur deliberately for unusual purposes, such as wrong clicks on webpages, telecommunication network spying calls, have a significant impact on the analysis work based on network structure.As an important branch of graph anomaly detection, anomalous edge recognition in complex networks aims to identify abnormal edges in network structures caused by human fabrication or data collection errors.Existing methods mainly start from the perspective of structural similarity, and use the connected structure between nodes to evaluate the abnormal degree of edge connection, which easily leads to the decomposition of the network structure, and the detection accuracy is greatly affected by the network type.In response to this problem, a CNSCL algorithm was proposed, which calculated the node importance at the semi-local structure scale, analyzed different types of local structures, and quantified the contribution of edges to the overall network connectivity according to the semi-local centrality in different structures, and quantified the reliability of the edge connection by combining with the difference of node structure similarity.Since the connected edges need to be removed in the calculation process to measure the impact on the overall connectivity of the network, there was a problem that the importance of nodes needed to be repeatedly calculated.Therefore, in the calculation process, the proposed algorithm also designs a dynamic update method to reduce the computational complexity of the algorithm, so that it could be applied to large-scale networks.Compared with the existing methods on 7 real networks with different structural tightness, the experimental results show that the method has higher detection accuracy than the benchmark method under the AUC measure, and under the condition of network sparse or missing, It can still maintain a relatively stable recognition accuracy.…”
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Improved Algorithm to Detect Clandestine Airstrips in Amazon RainForest by Gabriel R. Pardini, Paulo M. Tasinaffo, Elcio H. Shiguemori, Tahisa N. Kuck, Marcos R. O. A. Maximo, William R. Gyotoku

“…This work presents an enhancement to a previously developed landing strip detection algorithm tailored for the Amazon biome. The initial algorithm utilized satellite images combined with the use of Convolutional Neural Networks (CNNs) to find the targets’ spatial locations (latitude and longitude). …”
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Psychosemantic approach as the basis for the algorithmization technology of processing educational information by Elena V. Tsupikova, Margarita V. Tsyguleva

“…Semantic principles (matching of logical and linguistic categories, considering the text from the inner and outer speech, considering the text as cognitive and communicative essence; differentiation between the meaning and sense as between the semantics of the outer speech and the semantics of thinking; identification of semantic relationships between information elements, etc.), psychological and pedagogical principles (self-reflection support of learning activity; self-motivation due to determining usefulness and applicability of information; self-organization of students while creating their own algorithms of learning activity, etc.), and psycholinguistic principles (building logical supporting schemes, analogues of universal subject codes; semantic evaluation of the quantitative and qualitative characteristics of information, etc.)of work with scientific and educational profession-oriented information are described and correlated with the learning content and mechanisms of students verbal and cognitive activity. …”
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Self-Supervised Social Recommendation Algorithm Fusing Residual Networks by WANG Yujie, YANG Zhe

“…However, the existing algorithms mainly utilize the static social graph structure, which is unable to mine the potential linking relationship between users, and at the same time do not solve the noise problem in the user-item interaction behavior. …”
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Species Differences of Imperative Mood of Russian Verbs in the Linguodidactic Aspect by E. A. Bazhenova, C. Celone

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A New Framework for Dynamic Educational Marketing Segmentation in Student Recruitment: Optimizing Fuzzy C-Means with Metaheuristic Techniques by Rizal Bakri, Bobur Sobirov, Niken Probondani Astuti, Ansari Saleh Ahmar, Pawan Kumar Singh

“…Traditional segmentation methods such as K-means are often used, but they have limitations in capturing the flexibility of school characteristics. …”
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Reactive Trajectory Generation of Unmanned Aerial Vehicle Incorporating Fuzzy C-Means Clustering and Optimization Problem-Based Guidance by Jongho Park, Seokwon Lee

“…Additionally, the framework incorporates a Fuzzy c-means clustering algorithm, which enables the UAV to dynamically detect and maneuver around multiple obstacles. …”
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Research on Site Selection and Capacity Determination of Electric Vehicle Public Charging Stations by Integrating K-Means++ and Improved RODDPSO by B. Huang, Z. Wang, J. Chen, B. Zhou, Y. Zhu, Y. Liu

“…Building upon conventional K-Means and RODDPSO frameworks, we develop an improved hybrid algorithm incorporating three critical advancements: 1) an adaptive mutation mechanism within the RODDPSO architecture to enhance global search capabilities and prevent premature convergence; 2) synergistic optimization of K-Means++ cluster centroids through the enhanced RODDPSO operator; and 3) a novel cluster validation metric based on real-world utilization patterns. …”
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Optimal Sizing for Wind/PV/Battery System Using Fuzzy c-Means Clustering with Self-Adapted Cluster Number by Xin Liu, Hong-Kun Chen, Bing-Qing Huang, Yu-Bo Tao

“…In this paper, optimal sizing for a wind/PV/battery system is realized by trade-offs between technical and economic factors. Firstly, the fuzzy c-means clustering algorithm was modified with self-adapted parameters to extract useful information from historical data. …”
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Segmentasi Pelanggan E-Commerce Menggunakan Fitur Recency, Frequency, Monetary (RFM) dan Algoritma Klasterisasi K-Means by Reyhan Muhammad Fauzan, Ganjar Alfian

“…The study proposes the K-Means algorithm and compares it with K-Medoids and Fuzzy C Means using publicly available e-commerce datasets. …”
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