Adaptive Radar Waveform Design Based on Weighted MI and the Difference of Two Mutual Information Metrics by Fengming Xin, Bin Wang, Shumin Li, Xin Song, Chi-Hsu Wang

“…Simulation results show the proposed algorithm is valid.…”
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The Influence of Domestic Players on the Success in National and International Competitions in Football by Michal Varmus, Pavol Boško, Roman Adámik, Dominika Toman, Zakaria Elkhwesky

“…These were tested using a statistical algorithm including the Pooled linear regression model, Fixed effects models, Random effects models, and the ANOVA test. …”
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A Modern Syllogistic Method in Intuitionistic Fuzzy Logic with Realistic Tautology by Ali Muhammad Rushdi, Mohamed Zarouan, Taleb Mansour Alshehri, Muhammad Ali Rushdi

“…An improved version of Blake-Tison algorithm for generating the complete product of a logical function is also presented and shown to be applicable to both crisp and fuzzy versions of the MSM. …”
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Detecting Anomalies in Meteorological Data Using Support Vector Regression by Min-Ki Lee, Seung-Hyun Moon, Yourim Yoon, Yong-Hyuk Kim, Byung-Ro Moon

“…In the selection process, a multiobjective genetic algorithm is used to optimize the two objective functions. …”
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Structural Weight and Stiffness Optimization of a Midibus Using the Reinforcement and Response Surface Optimization (RSO) Method in Static Condition by Hailemichael Solomon Addisu, Ermias Gebrekidan Koricho

“…Response surface optimization with the multiobjective genetic algorithm (MOGA) method in ANSYS DesignXplorer was performed on the reinforced structure to maximize the bending and torsional stiffness with reduced weight. …”
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Adaptive Gain Control Method of a Phase-Locked Loop for GNSS Carrier Signal Tracking by Zhibin Luo, Jicheng Ding, Lin Zhao

“…Finally, the completely adaptive loop gain control algorithm was designed. Comparable test results and analysis using the new method, conventional PLL, FLL-assisted PLL, and FAB-LL demonstrate that the AGCF-PLL has stronger adaptability to high target movement dynamic.…”
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PSO Based PI Controller Design for a Solar Charger System by Her-Terng Yau, Chih-Jer Lin, Qin-Cheng Liang

“…In order to obtain the optimum PI charge controller parameters, this study used intelligent algorithm to determine the optimum parameters. According to the simulation and experimental results, the control parameters resulted from PSO have better performance than genetic algorithms (GAs).…”
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Small Object Detection with Multiscale Features by Guo X. Hu, Zhong Yang, Lei Hu, Li Huang, Jia M. Han

“…The existing object detection algorithm based on the deep convolution neural network needs to carry out multilevel convolution and pooling operations to the entire image in order to extract a deep semantic features of the image. …”
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DR_PVNet: An Improved PVNet Network for Weakly Textured Object Pose Estimation in Indoor Complex Environments by Mengru Niu, Changyong Li

“…Secondly, a distance filtering scheme is incorporated into the keypoint voting scheme to force pixels that are further away from the keypoint hypotheses to improve the vote quality. The DR_PVNet algorithm achieves a 2D projection metric of 99.38% and an ADD(-S) metric of 90.12 % on the weakly textured public dataset LINEMOD. …”
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Novel Convolutional Restricted Boltzmann Machine manifold learning inspired dynamic user clustering hybrid precoding for millimeter-wave massive multiple-input multiple-output syst... by Xiaoping Zhou, Haichao Liu, Bin Wang, Qian Zhang, Yang Wang

“…Through proper user clustering, the hybrid precoding is investigated for the sum-rate maximization problem by manifold quasi-conjugate gradient methods. This algorithm avoids the traditional method of processing high-dimensional channel parameters, achieves a high signal-to-noise ratio, and reduces computational complexity. …”
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Geometry-Based Synchrosqueezing S-Transform with Shifted Instantaneous Frequency Estimator Applied to Gearbox Fault Diagnosis by Xinping Zhu, Wuxi Shi, Zhongxing Huang, Liqing Shi

“…The proposed GSSST method overcomes these limitations by implementing an intuitive geometric reassignment framework, which reassigns time-frequency (TF) coefficients to maximize energy concentration, thereby allowing fault components to be distinctly isolated even under challenging conditions. The GSSST algorithm calculates a new instantaneous frequency (IF) estimator that aligns closely with the ideal IF, thus concentrating TF coefficients more effectively than existing methods. …”
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Weigh-in-Motion Method Based on Modular Sensor System and Axle Recognition with Neural Networks by Xiaoyong Liu, Zhiyong Yang, Bowen Shi

“…Finally, the axle recognition algorithm and modular systems are tested in multiple scenarios. …”
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Optimizing a Biobjective Production-Distribution Planning Problem Using a GRASP by Martha-Selene Casas-Ramírez, José-Fernando Camacho-Vallejo, Rosa G. González-Ramírez, José-Antonio Marmolejo-Saucedo, José-Manuel Velarde-Cantú

“…To evaluate the performance of the proposed algorithm, numerical experimentations are conducted over a set of instances used for similar problems. …”
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Baseband Transceiver Design of a High Definition Radio FM System Using Joint Theoretical Analysis and FPGA Implementation by Chien-Sheng Chen, Chyuan-Der Lu, Ho-Nien Shou, Le-Wei Lin

“…This paper discusses the function and algorithm of the high definition (HD) radio frequency modulation (FM) digital radio broadcasting system. …”
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Integration of investment strategies in the system of strategic planning of territorial development by O. V. Kozhevina

“…The experience of the functioning of specialized organizations to attract investment and work with investors, the organization of public-private partnership at the regional level has been studied. The algorithm of approval of investment projects of territorial development has been presented.On the example of a large Russian region - the Altai Territory - the provisions and principles of the investment declaration of the subject, such as equality of the subjects of entrepreneurial and investment activities, involvement of subjects of entrepreneurial and investment activities in the investment process, transparency (openness) of information, the use of best practices of work with investors have been considered. …”
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Performances of an Interleaved High Step-Up Converter with Different Soft-Switching Snubbers for PV Energy Conversion Applications by Sheng-Yu Tseng, Hung-Yuan Wang, Chih-Yang Hsu

“…For drawing maximum power from the PV arrays, a perturbation-and-observation method realized with the microcontroller is adopted to achieve maximum power point tracking (MPPT) algorithm and power regulating scheme. Finally, two prototypes of the interleaved coupled-inductor boost converter with a single-capacitor snubber and with boost type snubber are implemented, respectively. …”
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An NoC Traffic Compiler for Efficient FPGA Implementation of Sparse Graph-Oriented Workloads by Nachiket Kapre, André Dehon

“…We deliver speedups of 0.5–13× (geomean 3.6×) for Sparse Direct Matrix Solve (Token Dataflow compute model) applied to a range of sparse matrices when using a high-quality placement algorithm. We expect such traffic optimization tools and techniques to become an essential part of the NoC application-mapping flow.…”
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Application of RSSD-OCYCBD Strategy in Enhanced Fault Detection of Rolling Bearing by Xiaolong Wang, Guiji Tang, Yuling He

“…Then, the grid search algorithm is adopted to precisely confirm the optimal parameters and OCYCBD is further performed as a postprocessing technology on the most sensitive component to suppress the residual interferences and amplify the fault signatures. …”
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Synthetic graphs for link prediction benchmarking by Alexey Vlaskin, Eduardo G Altmann

“…Predicting missing links in complex networks requires algorithms that are able to explore statistical regularities in the existing data. …”
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Metamaterial-Loaded 16-Printed Log Periodic Antenna Array for Microwave Imaging of Breast Tumor Detection by Avez Syed, Muntasir Sheikh, Mohammad Tariqul Islam, Hatem Rmili

“…After receiving the extracted data, the data are postprocessed using the MATLAB software and the delay multiply and sum (DMAS) imaging algorithm. Based on the reconstructed image, it is evident that the MTM-loaded antenna-based imaging system can detect many undesired tumors inside the breast phantom.…”
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