Efficient Technique for Joint Parameter Estimation of Mixed Far Field Targets and Near Field Jammers in Phased Array Radar by Fawad Zaman, Sadiq Akbar, Zohaib Akhtar, Gridsada Phanomchoeng

“…The proposed schemes are not only compared with each other but also with the state-of-the-art MUSIC algorithm. Extensive Monte Carlo simulations are enacted for diverse scenarios to justify the legitimacy of the proposed algorithms.…”
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Sap flow simulation of Cunninghamia lanceolata in degraded red soil region based on back propagation neural network by Tu Jie, Liu Qijing, Wei Jun, Hu Liang

“…Four main factors including air temperature, relative air humidity, average net radiation and vapor pressure deficit were chosen as the input variables, and the sap flow velocity was selected as the output variable, to train and examine the neural network model with Bayesian regularization algorithm and Levenberg-Marquardt algorithm. The optimum network model of C. lanceolata sap flow velocity was built with the topological structure of 4-10-1.Based on Bayesian regularization algorithm and Levenberg-Marquardt algorithm, good fitting results were obtained from the linear regression between predictive and measured values, with correlation coefficients both higher than 0.93. …”
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Innovative resource-saving security strategies for IoT devices by Inna Rozlomii, Andrii Yarmilko, Serhii Naumenko

“…The article also discusses efficient energy management strategies and optimising memory usage in IoT devices. …”
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A new single-ended traveling wave-based protection algorithm for a system with few traveling wave recorders by Saeid Hasheminejad

“…Simulation results show that the proposed algorithm is not only accurate but also capable of making right decisions in special cases such as faults with low inception angles and close-in faults.…”
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Optimizing a Multi-Channel ANC System for Broadband Noise Cancellation in a Telephone Kiosk Using Genetic Algorithms by Allahyar Montazeri, Javad Poshtan

“…Numerical simulations of the acoustical potential energy and also sound pressure at the height where the head of a person may be located, confirms the optimality of the locations proposed by the genetic algorithm. …”
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THE PERSPECTIVES OF HEURISTIC OPTIMIZATION METHODS EMPLOYMENT IN A DEVELOPMENT OF RADIO AND TELECOMMUNICATION DEVICES AND SYSTEMS by A. V. Smirnov

“…Heuristic optimization methods also called metaheuristics are the efficient means for solving of such problems. …”
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Shell and tube heat exchanger optimization: A critical literature assessment and fairness-based comparative performance analysis of meta-heuristic algorithms by Samet Gürgen

“…It also offers a robust framework for effectively using and comparing optimization algorithms in thermal engineering applications.…”
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PO77 | The clinical awareness of mixing test interpretation in the era of complex reporting algorithm: do we forget the origins?

“…This causes the application of post-analytical complex algorithms of interpretation, resulting in time and resources lost. …”
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On the optimal control of single-stage hybrid manufacturing systems via novel and different variants of particle swarm optimization algorithm by M. Senthil Arumugam, M. V. C. Rao

“…The inertia weight of the proposed methods is also described as a function of pbest and gbest, which allows the PSO to converge faster with accuracy. …”
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A Single Pilot Subcarrier-Based Sampling Frequency Offset Estimation and Compensation Algorithm for Optical IMDD OFDM Systems by Zhen Zhang, Qianwu Zhang, Yingchun Li, Yingxiong Song, Junjie Zhang, Jian Chen

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A Hybrid Genetic Algorithm with Tabu Search Using a Layered Process for High-Order QAM in MIMO Detection by Taehyoung Kim, Gyuyeol Kong

“…In addition, a layered detection process is applied simultaneously with the proposed algorithm, which not only improves the bit error rate performance but also reduces the computational complexity. …”
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A novel algorithm to mitigate the effect of clipping in orthogonal frequency division multiplexing underwater communication acoustic sensor system by Jinqiu Wu, Xuefei Ma, Yanling Yin, Zeeshan Babar

“…The better performance of the proposed Iterative compressed sensing algorithm is proved in simulations as well as in a pool experiment using acoustic wave sensors.…”
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MODIFIED WEIGHT MATRIX USING PRIM’S ALGORITHM IN MINIMUM SPANNING TREE (MST) APROACH FOR GSTAR(1;1) MODEL by Nur'ainul Miftahul Huda, Fransiskus Fran, Yundari Yundari, Lisa Fikadila, Fauziah Safitri

“…In this research, a modified weight matrix is presented using the Minimum Spanning Tree approach of graph theory. Prim's algorithm is utilized for calculation here. Not only does the modified weight matrix depend distance, but also highlights the correlation. …”
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Pre-Service Science Teachers’ Skills to Express The Algorithms Used in Solving Physics Problems with Flowcharts (An Example From Turkey) by H. S. Kurt, Z. Doğan

“…Problem-solving is a process that individuals use, not only in physics classes but also in every stage of life. An algorithm is a pathway to solving a problem or achieving a specific purpose. …”
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Segmentation Studies on Al‐Si‐Mg Metallographic Images Using Various Different Deep Learning Algorithms and Loss Functions by Abeyram M. Nithin, Murukessan Perumal, M. J. Davidson, M. Srinivas, C. S. P. Rao, Katika Harikrishna, Jayant Jagtap, Abhijit Bhowmik, A. Johnson Santhosh

“…Different loss functions were also compared, including binary, SS loss, and Tversky. …”
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Fault Classification in Power Transformers via Dissolved Gas Analysis and Machine Learning Algorithms: A Systematic Literature Review by Vuyani M. N. Dladla, Bonginkosi A. Thango

“…The survey results show that the majority of the research conducted for transformer fault classification using DGA employs the support vector machine (32%), artificial neural network (17%), and k-Nearest Neighbor (12%) algorithms. The survey also reveals the countries at the forefront of transformer fault diagnosis and a classification based on DGA using machine learning algorithms. …”
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Investigating Injury Outcomes of Horse-and-Buggy Crashes in Rural Michigan by Mining Crash Reports Using NLP and CNN Algorithms by Baraah Qawasmeh, Jun-Seok Oh, Valerian Kwigizile

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An improved multi-objective particle swarm optimization algorithm for the design of foundation pit of rail transit upper cover project by Jinyan Shao, Yuan Lu, Yi Sun, Lei Zhao

“…The MOIPSO algorithm is also applied to solve the design problem of rail transit upper cover foundation pit, further demonstrating the practical effectiveness of the proposed algorithm. …”
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The Three-Stage Strategy of Bi-Level Optimal Energy Management in the Distribution-Home Network Based on Golf Optimization Algorithm by Javad Goodarzi, Mohammad Tolou Askari, Meysam Amirahmadi, Majid Babaeinik

“…Additionally, it leads to a 42% increase in the consumption of responsive loads within H-MGs and a threefold increase in local generation. The MSSP-GOA algorithm not only enhances market participation but also significantly boosts profits for all participants involved, underscoring its potential as a robust solution for optimizing energy management in collaborative microgrid environments.…”
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Improved Coyote Optimization Algorithm for Optimally Installing Solar Photovoltaic Distribution Generation Units in Radial Distribution Power Systems by Thang Trung Nguyen, Thai Dinh Pham, Le Chi Kien, Le Van Dai

“…ICOA was superior to COA in terms of capability of finding higher quality solutions, more stable search ability, and faster convergence speed. Furthermore, we have also applied five other metaheuristic algorithms consisting of biogeography-based optimization (BBO), genetic algorithm (GA), particle swarm optimization algorithm (PSO), sunflower optimization (SFO), and salp swarm algorithm (SSA) for dealing with the same problem and evaluating further performance of ICOA. …”
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