A Missing Sensor Data Estimation Algorithm Based on Temporal and Spatial Correlation by Zhipeng Gao, Weijing Cheng, Xuesong Qiu, Luoming Meng

“…To address this problem, Temporal and Spatial Correlation Algorithm (TSCA) is proposed to estimate missing data as accurately as possible in this paper. …”
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Cement Transport Vehicle Routing with a Hybrid Sine Cosine Optimization Algorithm by Vu Hong Son Pham, Van Nam Nguyen

“…To demonstrate the advantages of the developed hybrid sine cosine algorithm, this algorithm is evaluated and compared with modern algorithms such as sine cosine algorithm, dragonfly algorithm, grey wolf optimizer, ant lion optimizer, particle swarm optimization, modified hybrid particle swarm optimization, genetic algorithm, and the double-population genetic algorithm in case studies. …”
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Letter and Person Recognition in Freeform Air-Writing Using Machine Learning Algorithms by Huseyin Kunt, Zeki Yetgin, Furkan Gozukara, Turgay Celik

“…Fourier and wavelet transforms are used to extract features and the performances of various machine learning algorithms, namely Decision Tree, Random-Forest, K-Nearest Neighbors, Support Vector Machine, Artificial Neural Networks, and SubSpace KNN, are comparatively studied. …”
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A Pipelined Hardware Design of FNTT and INTT of CRYSTALS-Kyber PQC Algorithm by Muhammad Rashid, Omar S. Sonbul, Sajjad Shaukat Jamal, Amar Y. Jaffar, Azamat Kakhorov

“…Lattice-based post-quantum cryptography (PQC) algorithms demand number theoretic transform (NTT)-based polynomial multiplications. …”
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Resource allocation algorithm for the downlink of multi-carrier and multi-user NOMA systems by Jie YAN, Rongfang SONG

“…Non-orthogonal multiple access (NOMA) technology had received considerable attention as a candidate technology for 5G cellular systems.The resource allocation problem in multi-carrier and multi-user downlink NOMA systems were studied with the goal of optimizing system throughput.In the solution of the problem,the linear water-filling power allocation was used between subcarriers as the fractional transmit power allocation algorithm was used between the superposed users,so that system throughput could be improved.Meanwhile,the concept of time slot was adopted in the design of NOMA transmission scheme,in order to be able to schedule more users in the scenario where the number of cellcenter users and celledge users were not equal.The whole time period was divided into two time slots.On the basis of ensuring the fairness of users,different user pairing groups were implemented in different time slots so as to fully utilizing the entire resource to improve system throughput.The simulation results show that this method can transmit more bits under the same transmit power comparing with traditional non-orthogonal multiple access(NOMA) and OFDMA.…”
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Lossless image authentication algorithm based on adaptive combinations of image basic blocks by Jian-gao LUO, Guo-qiang HAN, Yan WO, Xiang-yang LI

“…As the existing block-wise lossless image authentication algorithms were inadequate in the division of image authentication blocks,a novel lossless image authentication algorithm based on adaptive combinations of image basic blocks was proposed.The image authentication block was composed of some basic image blocks by the source image characteristics and requirements of watermarking image fidelity,and the authentication code was generated by a digital signature algorithm and embedded into the authentication block via a lossless watermarking algorithm.Moreover,the robust transmission of the image ID was achieved via multi-embedding,and using the ID and authentication block ID the image authentication algorithm could prevent vector quantizationattack.Theoretical analyses and experimental results demonstrate that the algorithm not only improves the existing tamper localization accuracy but also has strong adaptability and can resist vector quantization attack.…”
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Sparse channel fast reconstruction algorithm for OFDM system based on IOC-CSMP by Wei CUI, Ying YU, Haixia YU, Chao CHEN, Yunpeng LI

“…A fast reconstruction algorithm based on inner product optimization and sparsity updating constraint was proposed for OFDM system channel estimation when the number of channel paths was unknown.By constructing and updating the selection vector, the inner product operation was reduced by using the atoms corresponding to the non-zero index of the selection vector.The atoms were optimized based on compressed sampling and backtracking strategies, and the channel estimation was completed by matching pursuit.The sparsity update and the stop condition for the algorithm was achieved by the energy difference between the two adjacent channel estimation so as to ensure fast convergence of the algorithm.The simulation results show that the proposed algorithm has better channel estimation performance than the least square algorithm, minimum mean square error algorithm, sparsity adaptive matching pursuit algorithm and adaptive regularized compressed sampling matching pursuit algorithm, and consumes less channel estimation time than the two adaptive methods.…”
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State of the Art in Automated Operational Modal Identification: Algorithms, Applications, and Future Perspectives by Hasan Mostafaei, Mahdi Ghamami

“…This review examines SSI-based algorithms, covering essential components such as system identification, noise mode elimination, stabilization diagram interpretation, and clustering techniques for mode identification. …”
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One-Year Results of an Algorithmic Approach to Managing Failed Back Surgery Syndrome by Martín Avellanal, Gonzalo Diaz-Reganon, Alejandro Orts, Silvia Soto

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Network Selection Algorithm Based on Weighted Bipartite Graph in Heterogeneous Network Environment by Nan Bao, Weiwei Xia, Xu Bao

“…Compared with other algorithms, the proposed algorithm can provide matching results that meet the requirements for different QoS. …”
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Two General Algorithms for Computing Fixed Points of Nonexpansive Mappings in Banach Spaces by Shuang Wang

“…Recently, Yao et al. (2011) introduced two algorithms for solving a system of nonlinear variational inequalities. …”
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Optimization of Time-Varying Temperature Profiles for Enhanced Beer Fermentation by Evolutive Algorithms by Pablo Ruarte, Nadia Pantano, Marianela Noriega, Cecilia Fernández, Emanuel Serrano, Gustavo Scaglia

“…This method integrates Fourier series and orthogonal polynomials for control action parameterization, in combination with evolutionary algorithms for parameter optimization. A key advantage of this methodology lies in its ability to handle a reduced parameter set efficiently, resulting in temperature profiles that are continuous and differentiable. …”
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A Clustering Algorithm Based on Mobility Properties in Mobile Ad Hoc Networks by Young-jun Oh, Kang-whan Lee

“…We propose a context-awareness routing algorithm—the DDV- (Dynamic Direction Vector-) hop algorithm—in mobile ad hoc networks. …”
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Retracted: False Financial Statement Identification Based on Fuzzy C-Means Algorithm by null Complexity

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Next-Generation energy Management: Particle Density algorithm for residential microgrid optimization by Liang Wang, Nan Sun

Subjects: “…Improved Particle Swarm Optimization Algorithm…”
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Scheduling Model and Algorithm for Transportation and Vehicle Charging of Multiple Autonomous Electric Vehicles by Xiaoli Wang, Zhiyu Zhang, Mengmeng Jiang, Yifan Wang, Yuping Wang

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DESIGN OF PARAMETERS OPTIMIZATION FOR AUTOMOBILE SUSPENSION BASED ON ARTIFICIAL BEE COLONY ALGORITHM by ZHANG HaiTao, WANG AiGuo

Subjects: “…Artificial bee colony algorithm（ABC）…”
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Intelligent transmit power control algorithm for the multi-user interference of wireless network by Xianchao ZHANG, Yao ZHAO, Haijun YE, Rui FAN

“…To deal with the inter-user interference problem in wireless networks, an intelligent transmit power control scheme was proposed to manage the inter-user interference and guarantee multiple users' quality of service.Firstly, considering the complex dynamic wireless channel environment, a transmit power control model that aims to maximize the weighted sum-rate of the wireless communication system was established.Then, an intelligent power control algorithm based on the actor-critic framework in deep reinforcement learning was designed to shorten the power control decision time.Simulation results show that the proposed algorithm converges quickly, and when there are 10 pairs transceivers, the computation time consumed by the intelligent power control method is only a quarter of the time consumed by the traditional optimal algorithm.…”
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CSP-based resource allocation model and algorithms for energy-efficient cloud computing by Wei-wei LIN, Bo LIU, Liang-chang ZHU, De-yu QI

“…The resource allocation for energy-efficient cloud computing in a heterogeneous environment was modeled as a constraint satisfaction problem (CSP).By solving the constraint satisfaction problem,the optimized allocation scheme minimizing energy consumption in virtualized cloud data centers was obtained.Based on the optimized allocation scheme,an energy-efficient resource allocation algorithm,dynamicpower (DY),which takes into account the heterogene-ity of resources,was proposed.The performance of algorithm was evaluated using Choco.Experimental results show that,compared with first-fit decreasing (FFD),best-fit decreasing (BFD) and minimizing the number of physical machines (MinPM),the proposed algorithm (DY) has less energy consumption.…”
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A fruit fly optimization algorithm with a traction mechanism and its applications by Xing Guo, Jian Zhang, Wei Li, Yiwen Zhang

“…To address this problem, in this article, we propose a new fruit fly optimization algorithm, named as the traction fruit fly optimization algorithm, which is mainly based on the combination of “traction population” and dynamic search radius. …”
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