Coverage compensation algorithm based on vector algebra in hybrid wireless sensor networks by Ning-ning QIN, Li-xia GUO, Bao-guo XU

“…Aiming at the phenomenon that coverage holes caused by energy depletion coexisted with remaining energy of dormant redundant nodes in hybrid wireless sensor networks(WSN),a coverage compensation algorithm based on vector algebra to repair coverage hole with redundant nodes was presented.This algorithm included both the respective dis-placement amount calculation method of all the redundant nodes which may be involved in compensation and policies of the choice of the best redundant nodes that were selected by hole boundary node on the basis of balancing the remaining energy of nodes.The result shows that this algorithm makes full of energy resources in the premise of complete coverage to repair coverage hole,and has a better performance in both movement distance and movement cost compared with ex-isting COA algorithm.…”
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Registration between SAR and optical images based on improved phase consistency algorithm by Wannan Zhang

“…It may even lead to reverse differences, failing to capture the consistency between the two image types. …”
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Optimal power flow using recent red-tailed hawk optimization algorithm by Ahmed M Nassef, Mohammad Ali Abdelkareem, Mohamed Louzazni

“…In addition, the results obtained from the suggested approach have been compared to those achieved by other modern and competitive metaheuristic optimization algorithms, such as particle swarm optimization (PSO), Coot bird's algorithm (COOT), salp swarm algorithm (SSA), Marin predator algorithm (MPA), and the jellyfish search optimizer (JSO). …”
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Idiographic Lapse Prediction With State Space Modeling: Algorithm Development and Validation Study by Eric Pulick, John Curtin, Yonatan Mintz

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Multiobjective Personalized Recommendation Algorithm Using Extreme Point Guided Evolutionary Computation by Qiuzhen Lin, Xiaozhou Wang, Bishan Hu, Lijia Ma, Fei Chen, Jianqiang Li, Carlos A. Coello Coello

“…Classical recommender systems mainly focus on the accuracy of recommendation. However, with the increase of the diversified demands of users, multiple metrics which may conflict with each other have to be considered in modern recommender systems, especially for the personalized recommender system. …”
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Analysis of the synthetic periocular iris images for robust Presentation Attacks Detection algorithms by Jose Maureira, Juan E. Tapia, Claudia Arellano, Christoph Busch

“…Abstract The LivDet‐2020 competition focuses on Presentation Attacks Detection (PAD) algorithms, has still open problems, mainly unknown attack scenarios. …”
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A Differential Evolution Algorithm-Based Traffic Control Model for Signalized Intersections by Ziya Cakici, Yetis Sazi Murat

“…In the proposed model, signal timing and signal phasing are optimized simultaneously using Differential Evolution (DE) algorithm which is one of the population-based metaheuristic algorithms. …”
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An image processing technique for optimizing industrial defect detection using dehazing algorithms. by Xuanyi Zhao, Xiaohan Dou, Gengpei Zhang

“…In recent years, the demand for efficient and accurate defect detection algorithms in industrial production has been increasing. …”
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Comparison of Noise Reduction Algorithms for Optical Coherence Tomography Images of Skin Melanoma by O. O. Myakinin

“…There are almost no systematic comparisons of noise reduction algorithms in the literature.Objective. To obtain comparative test results on a set of ОКТ images of skin melanoma using various noise reduction algorithms.Materials and methods. …”
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Modeling and Simulation of an Intelligent Photovoltaic Controller Based on Variable Step Algorithm of Versoria by Bo Sun, Yongquan You, Zhiyong Zhang, Chao Li

“…The key to the design of a photovoltaic controller is the design of control algorithm. So, an improved fuzzy control algorithm is proposed to overcome the shortcomings of the traditional maximum power point tracking (MPPT) algorithm. …”
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RISK MANAGEMENT ALGORITHM FOR ENSURING THE SANITARY SAFETY OF THE POPULATION IN THE AREA OF THE OIL REFINERY by M. A. Fomenko, G. A. Fomenko, E. A. Skuratova

“…The article reveals the main features and characteristics of the algorithm of actions to ensure environmental safety of the population in the areas of oil refineries based on the mechanism of health risk assessment at all stages of the life cycle of environmentally hazardous production facilities. …”
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Development of Algorithms and Software Systems for Motion Control of a Robotic Tillage Unit by Yakov P. Lobachevsky, Sergey E. Lonin, Ilya S. Alekseev, Nikolay T. Goncharov, Irina I. Afonina, Ekaterina N. Il'chenko

“…(Research purpose) The research purpose is to review and analyze the main aspects required to develop the algorithms and software for motion control systems for a robotic tillage unit. …”
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Optimal Performance of PI Controller for AC Microgrid Based on Metaheuristic Optimization Algorithms by Ruqaya Majeed Kareem, Mohammed Kh. Al-Nussairi, Ramazan Bayindir

“…This work aims to improve the droop controller based on optimized PI controller parameters to control the frequency and voltage of microgrids under various conditions by using three metaheuristic optimization algorithms, Slime Mould Algorithm (SMA), Sine Cosine Algorithm (SCA), and Sparrow Search Algorithm (SSA), and compare with the conventional method. …”
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An algorithm for the management of chronic obstructive pulmonary disease patients in units of internal medicine by Ombretta Para, Carmen Stabile, Donato Cinquepalmi, Maria Sandra Magnoni, Francesco Nasso, Flavio Tangianu, Mauro Silingardi, Antonella Valerio, Dario Manfellotto, Francesco Dentali

“…The proposed algorithm is an agile and usable tool for managing the main steps of care of COPD patients in IMUs. …”
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Car Price Prediction and Recognition Using Deep Learning and Computer Vision Algorithms by Hira Farman, Saad Ahmed, Muhammad Hussain Mughal, Qurat -ul-ain Mastoi, Govari Shankar Lalwani

“…The goal of this work is to equip users with the knowledge and skills necessary for making intelligent choices when buying cars and to identify cars through picture capture. In this study the main source of information for the forecasts is the Kaggle website. …”
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Application-Oriented Fault Detection and Recovery Algorithm for Wireless Sensor and Actor Networks by Jinglin Du, Li Xie, Xiaoyan Sun, Ruoqin Zheng

“…This paper proposed an application-oriented fault detection and recovery algorithm (AFDR), a novel distributed algorithm to reestablish connectivity. …”
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An Efficient Algorithmic Way to Construct Boltzmann Machine Representations for Arbitrary Stabilizer Code by Yuan-Hang Zhang, Zhian Jia, Yu-Chun Wu, Guang-Can Guo

“…Given a set of stabilizer generators, we develop an efficient algorithm to determine both the RBM architecture and the exact values of its parameters. …”
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Compressed sensing subspace pursuit algorithm based on two stagewise weak selection by Bowei WANG, Jin TAN

“…Compressed sensing is a new way of signal sampling and data compression.The subspace pursuit algorithm has higher efficiency and precision in the compressed sensing reconstruction algorithms,but it needs the sparsity of the signal as a priori information.And if the sparsity estimation is not accurate enough,it will reduce the algorithm reconstruction effect.Aiming at this problem,a two stagewise weak selection-based subspace pursuit (TSWSP) algorithm was proposed,which didn’t need to know the sparsity of the signal in advance.The first weak selection adaptively selected the initial atom candidate set,and the second weak selection adaptively culled the wrong atoms that may had been previously selected from the current atom support set,and finally it selected a plurality of related atoms from the current atom candidate set to join the atom support set by the backtracking method.Simulation analysis shows that the proposed algorithm can reconstruct one-dimensional random signals and two-dimensional image signals accurately with unknown sparsity,and it has high stability,compared with OMP,SWOMP,BAOMP,SAMP and SP algorithm,the mean-square erroris reduced by 60.5% to 99.1%,the peak signal-to-noise ratio is improved by 2.1% to 34.3%.…”
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Finding Plausible Optimal Solutions in Engineering Problems Using an Adaptive Genetic Algorithm by Muslum Kilinc, Juan M. Caicedo

“…In this study, a modified genetic algorithm named multi-solution genetic algorithm (MsGA) based on clustering and section approaches is presented to identify alternative solutions for an engineering problem. …”
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DAG Based Multipath Routing Algorithm for Load Balancing in Machine-to-Machine Networks by Liang Liu, Tao Zhang, Jun Zhang

“…In M2M networks, most nodes are powered by battery; hence the overused nodes may easily be out of power, which causes the reduction of network lifetime. …”
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