Optimal Sizing of a Hybrid Renewable Energy System for Auxiliary Services in Substations Through Genetic Algorithm and Variable Neighborhood Search by Matheus Holzbach, John Fredy Franco Baquero, Mariana Resener

“…Furthermore, a hybrid algorithm, based on Genetic Algorithm (GA) and Variable Neighborhood Search (VNS), is introduced. …”
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Co-Optimization of the Hardware Configuration and Energy Management Parameters of Ship Hybrid Power Systems Based on the Hybrid Ivy-SA Algorithm by Qian Guo, Zhihang Fu, Xingming Zhang

“…The algorithm is tested with the CEC2017 benchmark functions and outperforms 11 other algorithms. …”
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ALGORITHM FOR SELECTING A PUMP AND A DIESEL INTERNAL COMBUSTION ENGINE WHEN ASSEMBLING A PUMPING UNIT FOR RECLAMATION PURPOSES by Oleg V. Voevodin, Anton L. Kozhanov

“…Results. The proposed algorithm has the following stages: source data capture – preliminary selection of a pump and an internal combustion engine – establishment of the pump speed control range – calculation of head, flow rate, power and torque on the pump shaft – digitization of the main characteristics of the internal combustion engine in a given crankshaft speed limit – comparison of pump and engine torques – comparison of pump and internal combustion engine capacities – analysis of graphic data on the torque and power of the pump and internal combustion engine – calculation of the energy characteristic of the water flow (Q·H) and construction of its dependence on RPM – clarification of the number of revolutions of the engine crankshaft to ensure the specified head-flow characteristics of the pump. …”
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Micro-classification of orchards and agricultural croplands by applying object based image analysis and fuzzy algorithms for estimating the area under cultivation by Bakhtiar Feizizadeh, Ali KHedmat Zadeh, Mohammad Reza Nikjoo

“…This approach make use of spectral, environmental, physical and geometrical characteristics (e.g. texture, shape) together images contexts for modeling of land use/cover classes. The main objective of this study is to classify micro land use/cover of Meyandoab County by applying appropriate and effective algorithms and parameters in the object based approach. …”
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A model adapted to predict blast vibration velocity at complex sites: An artificial neural network improved by the grasshopper optimization algorithm by Yong Fan, Guangdong Yang, Yong Pei, Xianze Cui, Bin Tian

“…Through a comprehensive evaluation of the running time results, the root mean square error (RMSE), mean absolute error (MAE), and determination coefficient (R2), a new algorithm, the grasshopper optimization algorithm (GOA), which is suitable for optimizing an ANN to predict PPV, is obtained. …”
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PRIVATE TECHNIQUE OF FORMATION OF REQUIREMENTS TO INFORMATION PROTECTION SYSTEMS FROM UNAUTHORIZED ACCESS TO AUTOMATED BATH SYSTEMS USING GENETIC ALGORITHM by I. G. Drovnikova, A. A. Zmeev, E. A. Rogozin

“…Analysis of the existing methodology for the formation of requirements for information protection systems (GIS) from unauthorized access (NSD) to automated systems (AS) revealed a number of significant flaws, the main of which is the following: despite the fact that the considered method undoubtedly has theoretical significance, the same time, it can not claim practical value. …”
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An advanced fire detection system for assisting visually challenged people using recurrent neural network and sea-horse optimizer algorithm by Fahd N. Al-Wesabi, Abeer A. K. Alharbi, Ishfaq Yaseen

“…This manuscript presents a Smart Fire Detection System for Assisting the Blind Using Attention Mechanism-Driven Recurrent Neural Network and Seahorse Optimizer Algorithm (SFDAB-ARNNSHO). The main intention of the SFDAB-ARNNSHO method is to detect and classify fire for blind people. …”
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A new model of Fleet Size and Mix Green Inventory Routing Problem, Solution: Multi-Objective Quantum Evolutionary Algorithm by Mohsen Zamani, Mahdi Alinaghian

“…Due to the NP-hard nature of the assessed problem, a meta-heuristic algorithm based on Quantum Evolutionary Algorithm (QEA) is proposed. …”
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A novel decision algorithm for the innovation and optimization in university labor education courses using fuzzy information involving multiple experts by Hailun Liu

“…Therefore, a decision algorithm is utilized to cope with these challenges. …”
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pSum-SaDE: A Modified p-Median Problem and Self-Adaptive Differential Evolution Algorithm for Text Summarization by Rasim M. Alguliev, Ramiz M. Aliguliyev, Chingiz A. Mehdiyev

“…To solve the optimization problem a self-adaptive differential evolution algorithm is created. Differential evolution has been proven to be an efficient and robust algorithm for many real optimization problems. …”
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Characterisation of Human Exhaled Breath Gases for Chronic Obstructive Pulmonary Disease Utilising an E-Nose Sensor and the Bi-LSTM Algorithm by Nilakshi Maruti Mule, Dipti Durgesh Patil

“…Research has shown that the VOC profiles of COPD patients differ from those of healthy controls, indicating that the E-nose system may serve as a viable diagnostic tool for COPD patients. …”
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Artificial intelligence-driven cybersecurity: enhancing malicious domain detection using attention-based deep learning model with optimization algorithms by Fatimah Alhayan, Asma Alshuhail, Ahmed Omer Ahmed Ismail, Othman Alrusaini, Sultan Alahmari, Abdulsamad Ebrahim Yahya, Monir Abdullah, Samah Al Zanin

“…Abstract Malicious domains are one of the main resources mandatory for adversaries to run attacks over the Internet. …”
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Leveraging self attention driven gated recurrent unit with crocodile optimization algorithm for cyberattack detection using federated learning framework by Manal Abdullah Alohali, Hatim Dafaalla, Mohammed Baihan, Sultan Alahmari, Achraf Ben Miled, Othman Alrusaini, Ali Alqazzaz, Hanadi Alkhudhayr

“…This study proposes a Self-Attention Mechanism-Driven Federated Learning for Secure Cyberattack Detection with Crocodile Optimization Algorithm (SAMFL-SCDCOA) methodology. The main objective of the SAMFL-SCDCOA methodology is to provide an effective method for preventing cyberattacks in real time using FL and advanced optimization algorithms. …”
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High-efficiency Axial Flow Fan Design by Combining Through-flow Modeling, Optimization Algorithm and Computational Fluid Dynamics Simulation by C. Lee, S. W. Kim, H. T. Byun, S. H. Yang

“…In this study, a high-efficiency axial fan design method and process are proposed by integrating the controlled blading design (CBD) method for the spanwise design of blade angles, the through-flow analysis method incorporating three-dimensional flow effects for performance prediction of the designed fan, and an optimization algorithm suitable for multi-variable problems. The main objective of this study is to obtain the optimal spanwise distribution of blade angles and chord length. …”
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Identification and Correction of Phase Unwrapping Errors in Multitemporal Small Baseline DInSAR Interferograms: A Three-Step Cascade Algorithm by Giovanni Onorato, Claudio De Luca, Francesco Casu, Michele Manunta, Muhammad Yasir, Pasquale Noli, Pasquale Striano, Riccardo Lanari

“…In particular, the proposed algorithm is based on the cascade of three main steps: the first one consists in reducing the amount of pixels and interferograms to be analyzed for the errors identification by generating a novel parameter for the evaluation of the best possible corrections. …”
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Inferring Agronomical Insights for Wheat Canopy Using Image-Based Curve Fit K-Means Segmentation Algorithm and Statistical Analysis by Ankita Gupta, Lakhwinder Kaur, Gurmeet Kaur

“…The best segmentation algorithm was confirmed by doing exhaustive comparisons of seven segmentation algorithms. …”
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Optimal sizing of battery energy storage system (BESS) for multiple applications using regression analysis and deep sleep optimizer algorithm by Chukwuemeka Emmanuel Okafor, Komla Agbenyo Folly

“…This is critical because such a frequency decline may activate the underfrequency load shedding relays.…”
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Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China by Hanyu Zhang, Bingjie Liu, Bin Yang, Jiachang Guo, Zhenhua Hu, Mengtao Zhang, Zhaohui Yang, Jianshuang Zhang

“…IntroductionThe unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in tree species classification.MethodsUAV-LiDAR point clouds of Populus alba, Populus simonii, Pinus sylvestris, and Pinus tabuliformis from 12 sample plots, 2,622 tree in total, were obtained in North China, training and testing sets were constructed through data pre-processing, individual tree segmentation, feature extraction, Non-uniform Grid and Farther Point Sampling (NGFPS), and then four tree species were classified efficiently by two machine learning algorithms and two deep learning algorithms.ResultsResults showed that PointMLP achieved the best accuracy for identification of the tree species (overall accuracy = 96.94%), followed by RF (overall accuracy = 95.62%), SVM (overall accuracy = 94.89%) and PointNet++(overall accuracy = 85.65%). …”
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Deep VMD-attention network for arrhythmia signal classification based on Hodgkin-Huxley model and multi-objective crayfish optimization algorithm. by Hang Zhao, Xiongfei Yin

“…The proposed deep VMD-attention modeling and classification strategy has shown significant promise and may offer valuable inspiration for other signal processing fields as well.…”
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Adaptation of RainGaugeQC algorithms for quality control of rain gauge data from professional and non-professional measurement networks by K. Ośródka, J. Szturc, A. Jurczyk, A. Kurcz

“…This system works operationally at the national meteorological and hydrological service in Poland. The RainGaugeQC algorithms, which have been significantly modified, are described in detail. …”
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