Optimal Design of PID-Load Frequency System Based on a Sine Cosine Algorithm by Ali Jasim Mohammed

Subjects: “…load frequency sine cosine algorithm, proportional integral dravite control, integral time absolute error and power system.…”
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Multilevel Association Rule Mining for Bridge Resource Management Based on Immune Genetic Algorithm by Yang Ou, Zheng Jiang Liu, Hamid Reza Karimi, Ying Tian

“…Secondly, we execute the immune genetic algorithm with the coding scheme for analyzing BRM. …”
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Research on Radio Network Intelligent Frequency Selection Technology Based on an Adaptive Genetic Algorithm by Wenjun Wang

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A Machine Learning Algorithm to Predict Medical Device Recall by the Food and Drug Administration by Victor Barbosa Slivinskis, Isabela Agi Maluli, Joshua Seth Broder

“…The algorithm was trained using 400 randomly selected devices and then tested using 100 unique random devices. …”
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Robust power and subcarrier allocation algorithm for cognitive network based on interference efficiency maximization by Yongjun XU, Yang YANG, Qilie LIU, Qianbin CHEN, Jinzhao LIN

“…For the cognitive OFDMA uplink communication system,a robust power and subcarrier allocation algorithm based on maximum interference efficiency was proposed.Firstly,considering primary user interference constraint,secondary user transmit power constraint,subcarrier allocation constraint and secondary user minimum rate constraint,a robust resource optimization model based on outage probability was established.Then,by using Bernstein approximation and Dinkelbach’s method,the original non-convex problem based on outage probability was transformed into an equivalent convex optimization one,and the analytical solution was obtained by Lagrangian dual function method.Meanwhile,the computational complexity and robust sensitivity of the algorithm were analyzed.The simulation results show that the proposed algorithm has better interference efficiency and robustness.…”
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A Path Planning Algorithm with a Guaranteed Distance Cost in Wireless Sensor Networks by Yuanchao Liu, Shukui Zhang, Jianxi Fan, Juncheng Jia

“…Without any location information, the path planning algorithm generates a big challenge. Many algorithms provided efficient paths based on tracking sensor nodes which forms a competitive method. …”
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Research on the generalized utility max-min fair algorithm based on piecewise linear function by XU Tong, LIAO Jian-xin

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Optimization Simulation of English Speech RecognitionAccuracy Based on Improved Ant Colony Algorithm by Lu Jing

“…Simulation experiments tested the recognition rates of traditional ant colony algorithm and improved ant colony algorithm. The results show that the global search ability and accuracy of improved ant colony algorithm are better than traditional algorithms, which can effectively improve the efficiency of English speech recognition system.…”
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Low-complexity variable step-size sign algorithm based on Weibull distribution function by Rui ZHANG, Guchen SHI, Banteng LIU, Yourong CHEN

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Dynamic spectrum allocation based on clone selection algorithm in cognitive heterogeneous wireless networks by Hua SHI, Jian-dong LI, Zhao LI

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A Parallel Decoding Algorithm for Short Polar Codes Based on Error Checking and Correcting by Yingxian Zhang, Xiaofei Pan, Kegang Pan, Zhan Ye, Chao Gong

“…We propose a parallel decoding algorithm based on error checking and correcting to improve the performance of the short polar codes. …”
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Screw Remaining Life Prediction Based on Quantum Genetic Algorithm and Support Vector Machine by Xiaochen Zhang, Dongxiang Jiang

“…To predict the remaining life of ball screw, a screw remaining life prediction method based on quantum genetic algorithm (QGA) and support vector machine (SVM) is proposed. …”
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Financial Data Anomaly Detection Method Based on Decision Tree and Random Forest Algorithm by Qingyang Zhang

“…In this paper, the random forest algorithm is introduced into the detection of abnormal samples, and the concept of abnormal point scale is proposed to measure the abnormal degree of the sample based on the similarity of the samples, and the abnormal samples are screened out according to this scale. …”
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Hybrid Alternated Inertial Projection and Contraction Algorithm for Solving Bilevel Variational Inequality Problems by Jacob Ashiwere Abuchu, Austine Efut Ofem, Godwin Chidi Ugwunnadi, Ojen Kumar Narain, Azhar Hussain

“…The algorithm which involves alternated inertial uses self-adjustment stepsize condition that depends solely on the information from previous iterative step. …”
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Predicting carbon dioxide emissions using deep learning and Ninja metaheuristic optimization algorithm by Anis Ben Ghorbal, Azedine Grine, Ibrahim Elbatal, Ehab M. Almetwally, Marwa M. Eid, El-Sayed M. El-Kenawy

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Optimization and Design of Hammerheads and Fenders on Scrap Metal Shredders Based on Improved Genetic Algorithm by He Tian, Guoqiang Wang, Kangkang Sun, Zeren Chen, Chuliang Yan, Da Cui

“…A novel optimization algorithm combining genetic algorithm and simulated annealing algorithm is proposed to improve the dynamic balance of scrap metal shredders. …”
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Sequential recommendation algorithm for long-tail users based on knowledge-enhanced contrastive learning by REN Yonggong, ZHOU Pinglei, ZHANG Zhipeng

“…Therefore, a sequential recommendation algorithm for long-tail users based on knowledge-enhanced contrastive learning was proposed. …”
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Intrusion Detection Model for Wireless Sensor Networks Based on FedAvg and XGBoost Algorithm by Hongjiao Wu

“…It is also compared with other algorithms to demonstrate the high detection rate and low computational complexity of this algorithm.…”
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Novel time delay estimation algorithm for ADS-B based on an auxiliary source and correntropy by Sheng-yang LUAN, Tian-shuang QIU, Ai-min SONG, Jing-chun LI, Hai-feng TAN

“…A novel time delay estimation algorithm was proposed to correct ADS-B latency employing an auxiliary signal source and correntropy.Firstly,the cause of message delay was analyzed and a new latency model was raised.Secondly,when comparing the signal similarity,the correntropy was introduced to estimate the delay using Doppler shift from signals of the auxiliary source as the research object.Thirdly,the influnce of step length and Gaussian kernel length on evaluating the time delay was researched.Finally,simulations were carried out to verify the performance of the proposed algorithm in the impulsive noise environment.The new algorithm needs no change in message format and it is more practical and accurate compared with existing methods.…”
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Fast deep reinforcement learning anti-jamming algorithm based on similar sample generation by ZHOU Quan, NIU Yingtao

“…To improve the learning efficiency of anti-jamming algorithms based on deep reinforcement learning and enable them to adapt more quickly to unknown jamming environments, a fast deep reinforcement learning anti-jamming algorithm based on similar sample generation was proposed. …”
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