The 2D Spectral Intrinsic Decomposition Method Applied to Image Analysis by Samba Sidibe, Oumar Niang, Abdoulaye Thioune, Abdoul-Dalibou Abdou, Ndeye Fatou Ngom

“…We introduce a faster diffusivity function for the computation of the mean envelope operator which provides the components of the SID algorithm for any signal. The 2D version of SID algorithm is implemented and applied to some very known images test. …”
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Efficient criteria for the stabilization of planar linear systems by hybrid feedback controls by Elena Litsyn, Marina Myasnikova, Yurii Nepomnyashchikh, Arcady Ponosov

“…For instance, this enables us to work out an algorithm which is directly suitable for a computer realization. …”
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CONCEPTUAL MODEL FOR ENERGY-EFFICIENCY MANAGEMENT IN STEAM-POWER PLANTS by OGNYAN DINOLOV

“… An aggregate algorithmized conceptual model for controlling the energy efficiency in the steam-power plants, with taking into account the deviations in the qualitative characteristics of the used fuel, is proposed and justified. …”
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Implicit link prediction based on extended social graph by Ling Xing, Jinxin Liu, Qi Zhang, Honghai Wu, Huahong Ma, Xiaohui Zhang

“…To address these issues, this paper introduces an implicit link prediction algorithm based on extended social graph (ILP-ESG). …”
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Control System of Fire Rescue Robot for High-Rise Building Design by Junfang Yu

“…It is concluded that the expert PID algorithm is efficient and practical. It can be concluded that the robot position control system adopts PID control algorithm, and the attitude control system adopts expert PID control algorithm. …”
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Search for differentially methylated regions in ancient and modern genomes by D. D. Borodko, S. V. Zhenilo, F. S. Sharko

“…In this study, we attempted to develop an algorithm for identifying differentially methylated regions associated with metabolic syndrome, which have undergone methylation changes in humans during the transition from a hunter­gatherer to a sedentary lifestyle. …”
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Intelligent clustering using moth flame optimizer for vehicular ad hoc networks by Atif Ishtiaq, Sheeraz Ahmed, Muhammad Fahad Khan, Farhan Aadil, Muazzam Maqsood, Salabat Khan

“…The proposed framework allows efficient communication by creating the augmented number of clusters due to which it is termed as intelligent algorithm. Besides this, the use of unsupervised clustering technique emphasizes to call it as an intelligent clustering algorithm. …”
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Novel transfer learning approach for hand drawn mathematical geometric shapes classification by Aneeza Alam, Ali Raza, Nisrean Thalji, Laith Abualigah, Helena Garay, Josep Alemany Iturriaga, Imran Ashraf

“…We introduced a novel machine-learning algorithm CnN-RFc that uses convolution neural networks (CNN) for spatial feature extraction and the random forest classifier for probabilistic feature extraction from image data. …”
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A decentralized optimization framework for multi-MGs in distribution network considering parallel architecture by Dengyin Jiang, Xiaoqian Zhou, Qian Ai, Yuanjun Hou, Yuan Zhao

“…In view of centralized optimization facing the shortcomings of heavy communication burden, poor privacy, lack of autonomy or susceptibility to communication failures, a decentralized optimization framework is proposed to apply in parallel architecture particularly constituted by multi-microgrids (MMGs) in a distribution network based on accelerated analytical target cascading (ATC). Accelerated ATC algorithm can be applied to perform decentralized optimization in a sequential manner between distribution network agents and microgrid agents in a faster convergence speed compared with the traditional ATC algorithm. …”
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Patterns Exploration on Patterns of Empirical Herbal Formula of Chinese Medicine by Association Rules by Li Huang, Jiamin Yuan, Zhimin Yang, Fuping Xu, Chunhua Huang

“…The patterns during the diagnosis and treatment are selected by the applied algorithm and the relations between clinical symptoms or indications and herb choosing principles will be selected by the association rules algorithm. …”
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Predicting Screening Efficiency of Probability Screens Using KPCA-GRNN with WP-EE Feature Reconstruction by Qingtang Chen, Yijian Huang

“…Additionally, the WP-EE feature reconstruction-GRNN algorithm exhibits higher prediction accuracy than the single-input WP-EE-GRNN algorithm. …”
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A geometric approach for accelerating neural networks designed for classification problems by Mohsen Saffar, Ahmad Kalhor, Ali Habibnia

“…By applying this index along with center-based separation index, a systematic algorithm is proposed that optimally compresses convolutional and fully connected layers. …”
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Multiview Discriminative Geometry Preserving Projection for Image Classification by Ziqiang Wang, Xia Sun, Lijun Sun, Yuchun Huang

“…MDGPP can not only preserve the intraclass geometry and interclass discrimination information under a single view, but also explore the complementary property of different views to obtain a low-dimensional optimal consensus embedding by using an alternating-optimization-based iterative algorithm. Experimental results on face recognition and facial expression recognition demonstrate the effectiveness of the proposed algorithm.…”
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AUTOMATED ALPHABETIC SUBJECT INDEX GENERATION FOR UNIVERSAL DECIMAL CLASSIFICATION IN BELARUSIAN by S. I. Lysy, H. R. Stanislavenka, Yu. S. Hetsevich

“…The detailed step-by-step algorithm is provided. As confirmation of efficiency and correctness of the algorithm, a program prototype of ASI generation system was developed and described in the article. …”
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Identification of Gallus Domesticus and Joper Chicken Meat Types Using Glcm Combined With K-NN Method by Mila Jumarlis, Mirfan

“…Classification was then conducted to determine the type of chicken meat using the K-NN algorithm. The results of this study include a system capable of identifying chicken types based on meat, specifically distinguishing between Joper chicken meat and native chicken meat. …”
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Performance Optimization Method of Community Sports Facilities Configuration Based on Linear Planning Model by Xuefeng Tan, Chenggen Guo, Pu Sun, Shaojie Zhang

“…The performance optimization algorithm is designed to improve the speed of community sports facility allocation performance optimization. …”
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The Fusion of Infrared and Visible Images via Feature Extraction and Subwindow Variance Filtering by Xin Feng, Haifeng Gong

“…This paper presents a subwindow variance filtering algorithm for fusing infrared and visible light images, with the goal of addressing challenges related to blurred details, low contrast, and missing edge features. …”
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IBOA-Based Optimization of Cross-Sectional Dimension of Rods for a 3-RRR PPM to Minimize Energy Consumption by Yin Gao, Ke Chen, Hong Gao, Hongmei Zheng, Lei Wang, Kerong Jiang

“…Therefore, to properly handle the constraints, an improved butterfly optimization algorithm (IBOA) is presented to ensure that the new iterated point always falls into the feasible region according to the butterfly optimization algorithm (BOA). …”
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Simplified Geometric Approach to Freeform Beam Shaper Design by Jacek Wojtanowski, Tadeusz Drozd

“…In this paper, a fully geometric design method of double-freeform beam shapers is discussed briefly. The presented algorithm is based on two stages. First, integrable input-output ray mapping is calculated by the application of the novel GATMA (Geometric Approach to Monge–Ampere equation) method. …”
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Weak Target Detection within the Nonhomogeneous Ionospheric Clutter Background of HFSWR Based on STAP by Xin Zhang, Qiang Yang, Weibo Deng

“…Finally, a new strategy of training data selection is proposed to improve the joint domain localised (JDL) algorithm. Simulation results show that the improved-JDL algorithm is effective and the performance of weak target detection within nonhomogeneous ionospheric clutter is improved.…”
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