DEVELOPMENT OF THE ALGORITHM FOR CHOOSING THE OPTIMAL SCENARIO FOR THE DEVELOPMENT OF THE REGION'S ECONOMY by I. S. Borisova

“…Since the "Strategy for socio-economic development of the Lipetsk region for the period until 2020" does not contain scenarios for the development of the region, the algorithm for choosing the optimal scenario for the development of the regional economy is formalized. …”
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THE SOLUTION OF THE ALGORITHM FOR SOLVING THE DIMENSIONAL CHAINS DURING THE DESIGNING COURSE by Liviu Marius CÎRŢÎNĂ, Constanţa RĂDULESCU

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Analysis of algorithms of interference coding and improving the efficiency in the complex systems by Oleg Pavlovich Malofey, Alexander Olegovych Malofey, Anastasia Evgenievna Shangina

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Robust TDOA Localization Algorithm for Asynchronous Wireless Sensor Networks by Hui Xiong, Zhiyuan Chen, Wei An, Beiya Yang

“…Performance issues are addressed by evaluating the Cramér-Rao lower bound of synchronization and localization algorithms. Since the tag can be located via a single transmission, least power consumption of tag is required, and large number of tags can be served in WSN. …”
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A Kind of Dynamic Clustering Algorithm Based on Angle Measurement by HE Yun bin, SUN Nuan, WAN Jing, LI Song

“…In order to explore the influence of the angle between elements on the incremental clustering algorithm, this paper is inspired by angle based outlier detection algorithms. …”
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A Comparison of Four Classification Algorithms for Facial Expression Recognition by Hivi I. Dino, Maiwan B. Abdulrazzaq

“…Facial expression recognition (FER) has achieved an extreme role in research area since the 1990s. This paper provides a comparison approach for FER based on three feature selection methods which are correlation, gain ration, and information gain for determining the most distinguished features of face images using multi-classification algorithms which are multilayer perceptron, Naïve Bayes, decision tree, and K-nearest neighbor (KNN). …”
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A Prediction Algorithm for Coexistence Problem in Multiple-WBAN Environment by Zilong Jin, Yoonjeong Han, Jinsung Cho, Ben Lee

“…Therefore, this paper presents a learning-based algorithm to efficiently predict the coexistence condition in a multiple-WBAN environment. …”
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CNN Convolutional layer optimisation based on quantum evolutionary algorithm by Tzyy-Chyang Lu

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Real Power Loss Reduction by the Cultivation of Soil Optimization Algorithm by Lenin, K.

“…In this paper, the optimal reactive power problem has been solved by the cultivation of soil optimization (CSO) algorithm. The reduction of real power loss is a key objective of this work. …”
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Efficient Big Integer Multiplication and Squaring Algorithms for Cryptographic Applications by Shahram Jahani, Azman Samsudin, Kumbakonam Govindarajan Subramanian

“…Compared to the adopted classical and Karatsuba multiplication algorithms for squaring, the proposed squaring algorithm is 2 to 3.7 and 7.9 to 2.5 times faster for squaring 32-bit and 8-Kbit numbers, respectively. …”
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A Simulated Annealing Algorithm for the Generalized Quadratic Assignment Problem by Alan McKendall, Yugesh Dhungel

“…This paper presents simple but very effective approximation algorithms for solving real-world, large-size GQAP instances quickly without spending a lot of time setting the algorithm parameters, since there are few parameters to set. …”
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Tuning of PID Controller Coefficients for AVR Systems by SA Algorithm by Maryam Ehsani, Morassae Shafiezad

“…Since the conventional methods based on meta-heuristic algorithms solving this problem, generally use population-based algorithms such as GA and PSO, this paper aims to investigate the efficiency and performance of single- solution based metaheuristics to solve this problem. …”
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An investigation of Bayes algorithm and neural networks for identifying the breast cancer by E Udayakumar, S Santhi, P Vetrivelan

“…It is a tough challenge for the radiologist in reading mammography since it does not provide consistent result every time. …”
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SEARCH ALGORITHM FOR THE PARAMETRIC IDENTIFICATION OF THE ELECTRIC DRIVE OF THE MONITORING SYSTEM by A. S. Abufanas, A. A. Lobaty, A. G. Shvedko

“…Identification of the parameters of elements of a complex technical system is an actual scientific task, since when developing a new technical system for its synthesis and research, it is necessary to have mathematical models of the elements of the system.It is proposed to solve the problem by applying the search gradient identification algorithm for a given objective residual function in the form of a difference in the output signal of the identified element of the system and its model. …”
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Quality Prediction of Web Services Based on a Covering Algorithm by Ying Jin, Guangming Cui, Yiwen Zhang

“…In this paper, we propose UIQPCA, a novel approach for hybrid User and Item-based Quality Prediction with Covering Algorithm. UIQPCA integrates information of both users and Web services on the basis of users’ ideas on the quality of coinvoked Web services. …”
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Treatment algorithm for chronic vertebrogenic back pain: the role of chondroprotectors by O. S. Levin, E. E. Vasenina, A. I. Nebozhin, A. Yu. Nikitina

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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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An Optimal Algorithm for Planning Shearer Trailing Drum Cutting Path by Hong Zhang, Yunbing Hou, Zhenming Sun, Zhen Li, Shanjun Mao, Mei Li, Jinzheng Wang

“…The multitree and depth-first search algorithms are utilized to filter out the optimal advance path under different mining requirements. …”
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Parallel clustering algorithm for large-scale biological data sets. by Minchao Wang, Wu Zhang, Wang Ding, Dongbo Dai, Huiran Zhang, Hao Xie, Luonan Chen, Yike Guo, Jiang Xie

“…Moreover, the similarity matrix, whose constructing procedure takes long runtime, is required before running the affinity propagation algorithm, since the algorithm clusters data sets based on the similarities between data pairs.…”
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Human activity recognition algorithms for manual material handling activities by Andreas Sochopoulos, Tommaso Poliero, Jamil Ahmad, Darwin G. Caldwell, Christian Di Natali

“…However, there needs to be more research regarding the identification of diverse lifting styles, which requires appropriate datasets and the proper selection of hyperparameters for the employed classification algorithms. This paper offers insight into the effect of sensor placement, number of sensors, time window, classifier complexity, and IMU data types used in the classification of lifting styles. …”
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