End-Milling of GFRP Composites with A Hybrid Method for Multi-Performance Optimization by Mohammad Khoirul Effendi, Bobby O. P. Soepangkat, Dinny Harnany, Rachmadi Norcahyo

“…In this study, the end-milling of GFRP composites was investigated by utilizing a full factorial design of trials with three distinct values of n, Vf, and d. Also, a mix of genetic algorithms (GA) and backpropagation neural networks (BPNN) was administered to forecast the responses and obtain the optimized end-milling parameters. …”
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A new method for decoding an encrypted text by genetic algorithms and its comparison with tabu search and simulated annealing by Mahdi Sadeghzadeh, Mahsa Taherbaghal

“…The study also attempts to provide and to compare the performance in terms of the amount of check and control algorithms and the results are compared.…”
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Quantitatively Detecting Camellia Oil Products Adulterated by Rice Bran Oil and Corn Oil Using Raman Spectroscopy: A Comparative Study Between Models Utilizing Machine Learning Alg... by Henan Liu, Sijia Ma, Ni Liang, Xin Wang

“…In addition to performance fluctuations with varying regression algorithms, the output for feature extraction method also played a vital role in ultimate prediction performance.…”
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Experimental investigation of the strength of joining dissimilar aluminum alloys by friction stir welding and optimization of effective parameters with artificial intelligence by Hosein Rostami, Saeid Nickabadi, Elyas Rostami, Kave Yazdi

“…Response surface methodology, genetic algorithms, and particle swarm optimization algorithms have been used to optimize welding parameters. …”
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Research on Sparse Code Multiple Access Detection Technology in Satellite Communication Systems by Yiting JIANG, Lidong ZHU

“…SCMA detection algorithms in the satellite communication system was studied,and optimal allocation of codebook and the incomplete iterative MPA detection algorithm were combined to improve system performance while reducing system complexity.The convergence of the SCMA detection algorithm was studied,and an improved serial-parallel MPA algorithm was proposed.This algorithm could accelerate the system convergence speed while reducing the processing delay,and the system complexity was also reduced.…”
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Contrast Study of Low Tube Current Combined with Deep Learning Algorithms in Paranasal Sinus CT Imaging by Yufei SUN, Zhaohui ZHONG, Xiangming LI, Wanbo ZHOU, Chensi XU, Miao DENG, Lixin ZHANG

“…Objective: To explore the application effect of a low tube current combined with a deep learning algorithm in paranasal sinus computed tomography (CT) imaging and to evaluate its advantages in terms of image quality and radiation dose. …”
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Position related lightweight Sybil detection approach in VANET by Yan XIN, Xia FENG, Ting-ting LI

“…In VANET,the Sybil attack simultaneously using multiple forged identities can easily cause the injustice of resource usage and make networks in a mess by distributing false messages.To solve this problem,an event-driven lightweight algorithm was proposed,which could identify vehicles false position quickly.When one vehicle appeared inside another's safety zone,a geometrical cross-recognition algorithm to calculate the overlap between vehicles to detect false position claiming was presented.At the same time,according to the neighbors within the confirming vehicle's radio range,position deviation matrix was established further to identify the Sybil node of two overlap vehicles.The performance analysis and simulation results show that the lightweight algorithm driven by safety zone demonstrates fast identification and high detection rate,especially when GPS error is very low.The imported safety zone can also balance the communication load impacting by heavy vehicular density.And the communication processing delay is lower than other approaches.…”
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Research on 3D Path Optimization for an Inspection Micro-Robot in Oil-Immersed Transformers Based on a Hybrid Algorithm by Junji Feng, Xinghua Liu, Hongxin Ji, Chun He, Liqing Liu

“…Simulation results demonstrate that the hybrid algorithm achieves a 52.6% reduction in path length compared to the unoptimized A* algorithm, with the A*-ACO combination exhibiting exceptional stability. …”
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Low Complexity Two-Dimensional Channel Estimation Algorithm for Broadband SC-FDE System by Qifeng Zou, Xuezhi Tan, Mei Liu, Yonggang Chi

“…The complexity of the proposed algorithm was also lower than the conventional one-dimensional MMSE method.…”
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Stabilizer ground states for simulating quantum many-body physics: theory, algorithms, and applications by Jiace Sun, Lixue Cheng, Shi-Xin Zhang

“…This proposed equivalence formalism and linear-scaled algorithm are not only applicable to finite-size systems, but also adaptable to infinite periodic systems. …”
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Adaptive Super-Twisting Tracking for Uncertain Robot Manipulators Based on the Event-Triggered Algorithm by Yajun Ma, Hui Zhao, Tao Li

“…The proposed controller can ensure the system-tracking performance while also guaranteeing the robust stability of the system. …”
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An adaptive initialization and multitasking based evolutionary algorithm for bi-objective feature selection in classification by Hang Xu, Bing Xue, Mengjie Zhang

“…Abstract Evolutionary algorithms have become a widely-used approach for solving multi-objective optimization problems over the last decades, while feature selection in classification is also a discrete bi-objective optimization problem that aims at simultaneously minimizing the classification error and the number of selected features. …”
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Pedestrian Re-Recognition Algorithm Based on Optimization Deep Learning-Sequence Memory Model by Feng-Ping An

“…Therefore, this paper also proposes a greedy layer-by-layer pretraining algorithm for initializing LSTM and obtains better generalization performance. …”
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Transportation Path Optimization of Modern Logistics Distribution considering Hybrid Tabu Search Algorithm by Jinjin Guo, Huiying Zhang, Guie Sun

“…The optimization of transportation path for distribution vehicles, which is about the mixed tabu search method, can not only reduce the cost but also improve the optimization of the vehicle transportation path. …”
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Wideband distributed cooperative compressed spectrum sensing algorithm based on weighted consensus optimization by Yuzhi YAN, Youming LI, Guili ZHOU, Yaohui WU

“…Wideband distributed cooperative spectrum sensing based on compressed sensing can not only reduce high sampling rate,but also improve the spectrum sensing performance in low signal to noise ratio environment.In order to further enhance the spectrum sensing performance,a wideband distributed cooperative compressed spectrum sensing algorithm based on weighted consensus optimization was proposed.In this algorithm,the next iterative reconstruction weights were determined according to the current iterative reconstructed spectrum signal,which can encourage the sub-band occupied by primary user to generate signal value and decrease the likelihood of incorrect reconstruction.Simulation results show that the proposed algorithm can not only increases the spectral reconstruction accuracy,but also reduces time and communication costs of the sensing process,and improves the spectrum sensing performance.…”
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Wideband distributed cooperative compressed spectrum sensing algorithm based on weighted consensus optimization by Yuzhi YAN, Youming LI, Guili ZHOU, Yaohui WU

“…Wideband distributed cooperative spectrum sensing based on compressed sensing can not only reduce high sampling rate,but also improve the spectrum sensing performance in low signal to noise ratio environment.In order to further enhance the spectrum sensing performance,a wideband distributed cooperative compressed spectrum sensing algorithm based on weighted consensus optimization was proposed.In this algorithm,the next iterative reconstruction weights were determined according to the current iterative reconstructed spectrum signal,which can encourage the sub-band occupied by primary user to generate signal value and decrease the likelihood of incorrect reconstruction.Simulation results show that the proposed algorithm can not only increases the spectral reconstruction accuracy,but also reduces time and communication costs of the sensing process,and improves the spectrum sensing performance.…”
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Multi-Search Strategy-based Improved Water Flow Optimizer Algorithm for Cluster Analysis by Prateek Thakral, Yugal Kumar

“…Heuristic algorithms are also proposed to alleviate the problems of traditional clustering algorithms. …”
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Research on Risk Identification of Coal Mine Ventilation Systems Based on HFACS and Apriori Algorithm by Mingjia Jing, Guoxing Zhang, Dongjie Yang, Hongli Qin

“…The results show that (1) the 21 core causes, such as the lack of dedicated personnel to manage local ventilators, serious violations of safety regulations by gas inspectors on duty in tunneling faces, unauthorized serial ventilation, inadequate ventilation systems, and the absence of dedicated return airways, play major roles in the occurrence of accidents and are also at the core in social network analysis, (2) the 32 peripheral causes also indirectly affect the core causes. …”
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An Averaged Halpern-Type Algorithm for Solving Fixed-Point Problems and Variational Inequality Problems by Vasile Berinde, Khairul Saleh

“…Numerical tests to illustrate the superiority of our algorithm over the ones existing in the literature are also reported.…”
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APPLYING SOME MATCHING ALGORITHMS FOR SEQUENCE IGNATURE TO ANALYZE AND DETECT ENTRIES INTO SYSTEM NETWORKS by Pham Nguyen Huy Phuong, Dang Le Nam

“…Next, the time of pattern identification in the Snort's machine, and the performance of Snort as well as the number of packets passing through Snort, the amount of alerts per second, connection speed in real time, the percentage of received data in pattern matching process, etc. are also measured based on intelligent algorithms built in Snort. …”
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