Protection and Security Method for Multiple Energy Power Plant-Based Microgrids Using Dual Filtering Algorithm by Danni Liu, Shengda Wang, Weijia Su, Xiaojuan Zhang, Shichun Hui

“…Therefore, the paper presents a robust security & protection method for modern MEPPBM, employing a hybrid methodology using the Unscented Kalman Filter (UKF) and Particle Filter (PF) algorithms. The UKF is employed for accurate state estimation of the current & voltage signal from faulty bus. …”
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Turbofan Performance Estimation Using Neural Network Component Maps and Genetic Algorithm-Least Squares Solvers by Giuseppe Lombardo, Pierantonio Lo Greco, Ivano Benedetti

“…In this paper, we present an effective method for developing numerical turbofan models that allows reliable steady-state turbofan performance calculations. The main difference between the proposed method and those used in various commercial algorithms, such as GasTurb, GSP 12 and NPSS, is the use of neural networks as a multidimensional interpolation method for rotational component maps instead of classical <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>β</mi></semantics></math></inline-formula> parameter. …”
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Oil well productivity capacity prediction based on support vector machine optimized by improved whale algorithm by Kuiqian Ma, Chunxin Wu, Yige Huang, Pengfei Mu, Peng Shi

“…Residual sum of squares (R2) values for SVM optimized by grid search optimization, whale algorithm and improved whale algorithm are 0.372, 0.939 and 0.941 respectively. …”
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Improved YOLOv8 Algorithm was Used to Segment Cucumber Seedlings Under Complex Artificial Light Conditions by Duokuo Zhang, Na Li, Mingfu Zhao, Kun Xu

“…The effectiveness and superiority of this approach are validated through comparisons with other widely used segmentation detection algorithms.…”
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Development of stepwise particle dosing algorithm in magnetic solution deposition to clarify maximum area fraction points by Yuki NAGASAKO, Ryo HAYASAKA, Takahiro OOMURA

“…We investigated sedimentation in a colloidal dispersion composed of spherical ferromagnetic particles using Brownian dynamic simulations. We developed an algorithm to derive the maximum surface integral rate points, which is the area fraction that prevents the formation of a thin film under each condition, to clarify the conditions for forming a desired thin film in which spherical ferromagnetic particles settle down and exist separately. …”
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Multi class aerial image classification in UAV networks employing Snake Optimization Algorithm with Deep Learning by Alanoud Al Mazroa, Nuha Alruwais, Muhammad Kashif Saeed, Kamal M. Othman, Randa Allafi, Ahmed S. Salama

“…Furthermore, the integration of Snake Optimization algorithms assists in fine-tuning the classification process, improving accuracy. …”
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Fine Tuning Hyperparameters of Deep Learning Models Using Metaheuristic Accelerated Particle Swarm Optimization Algorithm by Abdel-Hamid M. Emara, Ghada Atteia, Jawad Hasan Alkhateeb

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Secure Biometric Identification Using Orca Predators Algorithm With Deep Learning: Retinal Iris Image Analysis by Louai A. Maghrabi, Mohammed Altwijri, Sami Saeed Binyamin, Fouad Shoie Alallah, Diaa Hamed, Mahmoud Ragab

“…The main aim of the SBRIC-OPADL technique is to accomplish biometric security using retinal iris images. …”
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Dehazing algorithm for coal mining face dust and fog images based on a semi-supervised network by Meng ZHAO, Yuzhong WEI, Zheng LI, Junming ZHANG, Junda CHEN, Xiaofeng LIU

“…To validate the effectiveness of the proposed algorithm, four algorithms were selected for comparison. …”
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Inversion of Crop Water Content Using Multispectral Data and Machine Learning Algorithms in the North China Plain by Zhenghao Zhang, Gensheng Dou, Xin Zhao, Yang Gao, Saisai Liu, Anzhen Qin

“…Five machine learning (ML) algorithms (i.e., MLR, RF, PLSR, ElasticNet, and ridge regression) were adopted to estimate the crop water content of winter wheat at the three growth stages. …”
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Toward Sustainable Campus Energy Management: A Comprehensive Review of Energy Management, Predictive Algorithms, and Recommendations by Noor Islam Jasim, Saraswathy Shamini Gunasekaran, Nouar AlDahoul, Ali Najah Ahmed, Ahmed El-Shafie, Mohsen Sherif, Moamin A Mahmoud

“…The paper states that to facilitate energy efficiency and manage consumption, it is important to extract patterns of energy consumption by data modelling and predictive algorithms to achieve the ultimate goal of consumption recommending and advising. …”
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Ex-vivo validation of nine algorithms for quantifying infarcts with late gadolinium enhancement cardiovascular magnetic resonance by Sascha Kopic, Einar Heiberg, Henrik Engblom, Marcus Carlsson, David Nordlund, Robert Jablonowski, Mikael Kanski, Christos Xanthis, Sebastian Bidhult, Anthony H. Aletras, Håkan Arheden

“…ABSTRACT: Background: In cardiovascular magnetic resonance, late gadolinium enhancement (LGE) is the standard method to visualize myocardial infarction (MI). Many algorithms quantifying infarct size in LGE images exist. …”
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Hyperspectral Estimation of Chlorophyll Content in Ginseng Fruit Leaves Based on Wavelet Transform and VCPA-GA Algorithm by Guo Jinfeng, Zhang Zhicong, Umut Hasan, Zhou Zhongye, Xu Wenyu, Yusup Ahmat

“…This is because the wavelet transform process has some errors that increase with the number of decomposition layers. (2) The VCPA-GA hybrid variable selection algorithm merges the strengths of the VCPA and GA, addressing the tendency of the VCPA to select fewer variables and overcoming GA's limitations in handling many variables which can lead to overfitting, providing a theoretical basis for estimating ginseng fruit LCC using hyperspectral remote sensing. (3) Among the four machine-learning models, predictions from to 1-2 and 6-7 layers were generally lower than those of the 0 layer, while predictions from the 3–5 layers are higher, showing an overall trend of initial increase followed by a decrease as the number of wavelet decomposition layers increased. (4) Ginseng fruit leaf hyperspectral data processed by the DWT-VCPA-GA algorithm with a 4-layer DWT spectrum yielded the best predictive performance in the BP-AdaBoost regression model, with R2=0.919, mean absolute percentage error = 2.090%, and relative percentage difference = 3.900. (5) After optimizing the BPNN regression model with various algorithms, only some optimized models improved their predictive performance and accuracy to a certain extent, making the choice of the right optimization algorithm crucial for model improvement.…”
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Implementation of the healthy heart tool- an algorithm with potential cardiometabolic health benefits in persons with severe mental illness by Elisabeth Haug Lund-Stenvold, Petter A. Ringen, Ole A. Andreassen, Torfinn L. Gaarden, Cecilie B. Hartberg, Erik Johnsen, Silje Myklatun, Kåre Osnes, Kjetil Sørensen, Arne Vaaler, Serena Tonstad, John A. Engh, Anne Høye

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Using UAV-based multispectral images and CGS-YOLO algorithm to distinguish maize seeding from weed by Boyi Tang, Jingping Zhou, Chunjiang Zhao, Yuchun Pan, Yao Lu, Chang Liu, Kai Ma, Xuguang Sun, Ruifang Zhang, Xiaohe Gu

“…Currently, UAV-based maize seedling recognition depends primarily on RGB images. The main purpose of this study is to compare the performances of multispectral images and RGB images of unmanned aerial vehicle (UAV) on maize seeding recognition using deep learning algorithms. …”
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Predicting Financial Distress through Ranking Working Capital Management Components Using Random Forest Algorithm by Pouya Sadeghi, Daryush Farid, Hamid Reza Mirzaei, Abolfazl Dehghani

“…In the first step, a random forest algorithm was employed to assess the predictive power of the seven working capital management indicators in classifying companies as distressed or healthy. …”
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A bit-arc capacity scaling algorithm for the maximum flow problem subjected to box constraints on the flow vector in digraph by Muhammad Tlas

“…The algorithm is mainly based on successive divisions of capacities by multiples of two. …”
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ALGORITHM FOR DETERMINING THE INITIAL COORDINATES OF A ROBOTIC UNMANNED AERIAL VEHICLES UNDER NAVIGATION FIELD DISTORTION by G. I. Linets, S. V. Melnikov, O. Shayakhmetov, A. Isaev, M. A. Isaev

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Research on self-supervised super resolution restoration algorithm based on reflective micro-scanning optical system by Jian Chen, Yuwei Wang, Xin Ye, Mo Chen, Qun Zhou

“…Abstract The features of infrared image such as less details and low SNR become bottleneck of infrared image application. This paper mainly focuses on research of super-resolution restoration algorithm of infrared image based on reflective infrared micro-scanning optical system. …”
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Creative Design and Technical Analysis of Animation Public Service Advertisement Based on Ant Colony Optimization Algorithm by Huabai Liu

“…This paper mainly describes how to use the ant colony optimization algorithm in the actual design process to carry out the corresponding design and analysis and then improve the overall communication of advertising. …”
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