Fast Decomposition Algorithm Based on Two-Dimensional Wavelet Transform for Image Processing of Graphic Design by Feifei Jiang, Wenting Yao

“…In this paper, we propose a fast decomposition algorithm image processing method based on a new transform of the wavelet transform, which mainly addresses the problems of large computation of feature points and long-time consumption of traditional image processing algorithms. …”
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Localization algorithm for large-scale wireless sensor networks based on FCMTSR-support vector machine by Fang Zhu, Junfang Wei

“…To reduce the calculation load, fuzzy C-means clustering algorithm is applied in the FCMTSR. …”
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Adaptive Full-Duplex and Half-Duplex Power Line Relay and Power Optimization Allocation Algorithm by Zhixiong CHEN, Honghai ZENG, Dongsheng HAN

“…In order to improve the long-distance communication capability, power line communication currently mainly adopts a two-slot half-duplex relay technology. …”
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A Local Information Entropy-Based Point Cloud Simplification Algorithm for Hazardous Chemical Warehouses by Luzhi Yuan, Ranran Han, Yun Sha, Yusong Yuan, Wenchang Zhang, Xuejun Liu, Yong Yan, Yinan Jiang

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An Efficient Algorithm for Finding a Threshold of Useful Signals in the Analysis of Magnetic and Eddy Current Defectograms by Egor V. Kuzmin, Oleg E. Gorbunov, Petr O. Plotnikov, Vadim A. Tyukin

“…The article presents a simple and effective implementation of the algorithm, which is successfully used in practice for the automatic analysis of magnetic and eddy current defectograms.…”
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Obtaining Scalable Fringe Precision in Self-Mixing Interference Using an Even-Power Fast Algorithm by Zheng Wei, Wencai Huang, Jie Zhang, Xiulin Wang, Huili Zhu, Tong An, Xia Yu

“…In this letter, the principle of the even-power fast algorithm is introduced in detail. The validity of the proposed algorithm is demonstrated by means of simulated signals and confirmed by experimental measurements at different vibration amplitudes. …”
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Method of testing the software of spacecraft electronic equipment based on fault injection in the algorithms of orientation and stabilization by D. A. Nedorezov, A. I. Postnikov, A. V. Murigin, A. V. Shnaider

“…The article substantiates the relevance of developing new methods and means of testing on-board electronic equipment of spacecraft based on the intentional introduction of faults for the purpose of testing survivability algorithms. …”
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An Efficient Large-Scale Sensor Deployment Using a Parallel Genetic Algorithm Based on CUDA by Jae-Hyun Seo, Yourim Yoon, Yong-Hyuk Kim

“…We have employed evolutionary computation to solve the optimization problem of sensor deployment in battlefield environments. A genetic algorithm has the advantage of delivering results of a higher quality than simple computational algorithms, but it has the drawback of requiring too much computing time. …”
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Relay selection algorithm based on selfish behavior analysis in ultra-dense D2D by Yijun WANG, Youxu ZHANG, Dakun LIU, Guifen CHEN

“…In ultra-dense D2D communication, the current relay selection schemes mainly assume that the relay device has the initiative to participate in data forwarding, but some rational relay devices may delay or refuse to forward due to their own considerations, thus affecting the user experience.From the perspective of selfish behavior of relay devices, a method to identify selfish relay devices in D2D communication was proposed, and then an ultra-dense D2D relay selection algorithm based on selfish behavior analysis was proposed.Firstly, three relay identification attribute factors, namely joint interest degree (JID), forwarding history ratio (FHR) and relay physical state (RPS) were defined, and their weights were calculated by triangular fuzzy function to identify relay devices with selfish behavior.Secondly, based on the TOPSIS (technique for order of preference by similarity to ideal solution) method, the final relay equipment selection scheme relay was realized.Simulation results show that the proposed algorithm can identify selfish relay devices more effectively in D2D communication.Compared with other relay selection algorithms, the proposed algorithm has made significant progress in the aspects of D2D communication forwarding success rate, system average throughput and average time delay.…”
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BHT-QAOA: The Generalization of Quantum Approximate Optimization Algorithm to Solve Arbitrary Boolean Problems as Hamiltonians by Ali Al-Bayaty, Marek Perkowski

“…A new methodology is introduced to solve classical Boolean problems as Hamiltonians, using the quantum approximate optimization algorithm (QAOA). This methodology is termed the “Boolean-Hamiltonians Transform for QAOA” (BHT-QAOA). …”
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An adaptive differential evolution algorithm using fitness distance correlation and neighbourhood-based mutation strategy by Wei Li, Yafeng Sun, Ying Huang, Jianbing Yi

“…However, the DE algorithm mainly focuses on strengthening the adaptability of exploitation, which allows the sensitivity of the DE algorithm to be solved in cases where the effects of solving various types of problems are quite different. …”
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THE ELABORATION OF THE OPTIMAL SYNTHESIS ALGORITHM FOR COMPLEX PROCESSING INFORMATION OF THE SPATIAL POSITION OF THE UPPER-AIR RADIOSONDE by E. A. Bolelov, Yu. M. Ermoshenko

“…The article considers the elaboration of the problem of optimal algorithm synthesis of complex signal processing of satellite GLONASS/GPS systems navigation relayed from the Board of the upper-air radiosonde and the output data upper-air radar to determine the spatial coordinates of upper-air radiosonde. …”
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Position Accuracy Improvement of the Inertial Navigation System using LSTM Algorithm without GNSS Signals by Mohammad Sabzevari, MasoudReza Aghabozorgi Sahaf

“…Currently, satellite navigation systems on cars provide a promising means of making these vehicles unmanned in the future. …”
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An Intelligent Algorithm for Aerodynamic Parameters Calibration of Wind Tunnel Experiment at a High Angle of Attack by Yeguang Wang, Shitong Jian, Zhigang Wang, Rui Fan, Peng Han, Yongxi Lyu

“…The proposed algorithm is based on a homologous comparison and tuning algorithm, and it can effectively improve the accuracy of the wind tunnel experiment model. …”
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Rapid screening of fumonisins in maize using near-infrared spectroscopy (NIRS) and machine learning algorithms by Bruna Carbas, Pedro Sampaio, Sílvia Cruz Barros, Andreia Freitas, Ana Sanches Silva, Carla Brites

“…Similarly, ANN models showed good predictive performance, particularly for FB1 + FB2, with R = 0.99, and the root means square error (RMSE) of 131 μg/kg for calibration; and R = 0.95, RMSE = 656 μg/kg for validation.These findings underscore the efficacy of NIR spectroscopy as a rapid, non-destructive tool for fumonisin screening in maize, with chemometric algorithms enhancing model accuracy, offering a valuable method for ensuring food safety.…”
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Relay selection algorithm based on selfish behavior analysis in ultra-dense D2D by Yijun WANG, Youxu ZHANG, Dakun LIU, Guifen CHEN

“…In ultra-dense D2D communication, the current relay selection schemes mainly assume that the relay device has the initiative to participate in data forwarding, but some rational relay devices may delay or refuse to forward due to their own considerations, thus affecting the user experience.From the perspective of selfish behavior of relay devices, a method to identify selfish relay devices in D2D communication was proposed, and then an ultra-dense D2D relay selection algorithm based on selfish behavior analysis was proposed.Firstly, three relay identification attribute factors, namely joint interest degree (JID), forwarding history ratio (FHR) and relay physical state (RPS) were defined, and their weights were calculated by triangular fuzzy function to identify relay devices with selfish behavior.Secondly, based on the TOPSIS (technique for order of preference by similarity to ideal solution) method, the final relay equipment selection scheme relay was realized.Simulation results show that the proposed algorithm can identify selfish relay devices more effectively in D2D communication.Compared with other relay selection algorithms, the proposed algorithm has made significant progress in the aspects of D2D communication forwarding success rate, system average throughput and average time delay.…”
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Optimization of Lattice-Based Cryptographic Key Generation using Genetic Algorithms for Post-Quantum Security by Tara Nawzad Ahmad Al Attar, Rebaz Nawzad Mohammed

“…However, practically implementing LBC is faced with key-generation and optimization difficulties, mainly because of its enormous key sizes and computational overhead. …”
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Research on the Construction of Crossborder e-Commerce Logistics Service System Based on Machine Learning Algorithms by Jinbo Xu, Shibiao Mu

“…First, we introduce the meaning of query recommendation, analyze the mechanism of e-commerce platform shopping search, redesign the query recommendation process on this basis, establish a Markov decision process model for the problem, and solve the optimal recommendation strategy through deep machine learning algorithms. …”
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Augmented Reality for Learning Algorithms: Evaluation of Its Impact on Students’ Emotions Using Artificial Intelligence by Mónica Gómez-Ríos, Maximiliano Paredes-Velasco, J. Ángel Velázquez-Iturbide, Miguel Ángel Quiroz Martínez

“…Augmented reality is an educational technology mainly used in disciplines with a strong physical component, such as architecture or engineering. …”
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A Comparative Analysis of Machine Learning Algorithms for Classification of Diabetes Utilizing Confusion Matrix Analysis by Maad M. Mijwil, Mohammad Aljanabi

“…The study determined that three algorithms are very effective at prediction. Mainly, logistic regression and Adaboost had a classification rate above 92%, and the naive bayes algorithm achieved a classification rate above 90%. …”
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