Digital processing of images with defects due to double beam attenuation in indirect X-ray fluorescence mapping by Luisa Dutra Silva, Lucas da Costa Souza, Davi Ferreira Oliveira, Marcelino José Anjos, Elicardo Alves de Souza Gonçalves

“…This algorithm showed the characteristics of the convolution matrix K needed to solve the problem. …”
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A network theoretic method for the basic reproductive number for infectious diseases by Anna Sisk, Nina Fefferman

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Wireless routeing scheme for UAV-assisted access networks based on the link path loss by Beza Negash Getu, Ali Alnoman

“…Then, Dijkstra’s shortest path algorithm is used to find the optimal route that has the minimum total path loss among all other possible routes. …”
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Nelder-Mead algorithm optimization and Galerkin’s method thermal performance analysis of circular porous fins with various profiles in fully wet conditions by M. r. Talaghat, F. Shafiei

“…In this research, a linear model was used for the relationship between humidity and temperature. Also, modeling is assumed one-dimensional and the temperature changes only in the direction of the radius of the fin. …”
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Application of harmony search algorithm in optimizing autoregressive integrated moving average: A study on a data set of Coronavirus Disease 2019 by Riya Karmakar, Sandip Chatterjee, Debabrata Datta, Dipankar Chakraborty

“…The accuracy of forecasting has significantly increased after optimizing the model using the proposed algorithm. Furthermore, a novel application of HS has also been discussed in this paper.…”
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A Multiobjective Model for Optimizing Green Closed-Loop Supply Chain Network under Uncertain Environment by NSGA-II Metaheuristic Algorithm by Babak Hassangaviar, Bahman Naderi, Farhad Etebari, Behnam Vahdani

“…After modeling the study, the model is solved by the Nondominated Sorting Genetic Algorithms (NSGA-II) in order to rank the optimum solutions. …”
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Optimizing the Joint Replenishment and Channel Coordination Problem under Supply Chain Environment Using a Simple and Effective Differential Evolution Algorithm by Lin Wang, Hui Qu, Shan Liu, Can Chen

“…To solve this NP-hard problem, a simple and improved differential evolution algorithm (IDE) is developed. The performance of the IDE is verified by benchmark functions. …”
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New Solutions of Time- and Space-Fractional Black–Scholes European Option Pricing Model via Fractional Extension of He-Aboodh Algorithm by Mubashir Qayyum, Efaza Ahmad

“…Analysis shows that the proposed methodology (He-Aboodh algorithm) is a valuable scheme for solving time-space-fractional models arising in business and economics.…”
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A novel lightweight deep learning framework using enhanced pelican optimization for efficient cyberattack detection in the Internet of Things environments by Yaozhi Chen, Yan Guo, Yun Gao, Baozhong Liu

“…To counter these challenges, the current study proposes a hybrid model incorporating an efficient convolutional neural network (CNN) and an enhanced pelican optimization algorithm (EPOA) to detect IoT network attacks. Inspired by how pelicans hunt, EPOA maximizes CNN’s hyperparameters and feature selection for higher accuracy and efficiency in computation. …”
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Dynamic Scene Segmentation and Sentiment Analysis for Danmaku by Limin Li, Jie Jing, Peng Shi

“…Experimental results show the good effects of the expanded dictionary in helping model performance in different structures. Also, the Apriori algorithm is used to find and explain links between Danmaku comments and video content, providing a deeper understanding into user participation and emotional reactions.…”
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Analysis of Public Sentiment Towards POLRI's Performance using Naive Bayes and K-Nearest Neighbors by Yusuf Handika, Isa Faqihuddin Hanif, Firman Noor Hasan

“…However, there is also a notable number of negative feelings. The assessment from confusion matrix results demonstrate that the Naive Bayes algorithm achieves 99.03% accuracy, while the K-Nearest Neighbors algorithm achieves 95.33% accuracy. …”
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ARTIFICIAL NEURAL NETWORK FOR MODELS OF HUMAN OPERATOR by Martin Ruzek

“…The search for a compromise between the complexity of biological neural network and the practical feasibility of the artificial network led to a new learning algorithm. This algorithm is based on the classical multilayered neural network; however, the learning rule is different. …”
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An improvement in the design process of sustainable peak power rating transformer for solar utility by Emir Yükselen, Ebrahim Rahimpour

“…A comparison of critical thermal parameters directly affecting the transformer’s lifetime and reliability was also drawn. The results were consistent with the expected outcomes, confirming the effectiveness and reliability of the proposed design methodology.…”
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Comparative analysis of forest disturbance detection in the key state-owned forest region of the Greater Khingan Range of China based on different algorithms by Ke Xu, Wenshu Lin, Ning Zhang

“…To support sustainable management, this study used Landsat data (1986–2017) from GEE to establish a normalized burn ratio time series, compared the spatiotemporal accuracy of three change detection algorithms (BFAST, CCDC, LandTrendr), and analyzed their mapping differences. …”
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The Comparison Combination of Naïve Bayes Classification Algorithm with Fuzzy C-Means and K-Means for Determining Beef Cattle Quality in Semarang Regency by Feroza Rosalina Devi, Endang Sugiharti, Riza Arifudin

“…In this research, used the combination of Naïve Bayes Classification and Fuzzy C-Means algorithm also Naïve Bayes Classification and K-Means. …”
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Jiles-Atherton Based Hysteresis Identification of Shape Memory Alloy-Actuating Compliant Mechanism via Modified Particle Swarm Optimization Algorithm by Le Chen, Ying Feng, Rui Li, Xinkai Chen, Hui Jiang

“…The good capture ability of the proposed identification algorithm is also examined through the comparisons with Jiles-Atherton model using the basic PSO identification algorithm.…”
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Prediction of old goaf residual subsidence integrating EDS-InSAR with EsLSTM in the Loess Plateau, China by Fei Ma, Fei Ma, Qingbin Zhang, Lichun Sui

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BICLUSTERING APPLICATION IN INDONESIAN ECONOMIC AND PANDEMIC VULNERABILITY by Wiwik Andriyani Lestari Ningsih, I Made Sumertajaya, Asep Saefuddin

“…The Cheng and Church (CC) algorithm is a popular biclustering algorithm and has been widely applied outside the field of biological data in recent years. …”
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A novel solid waste instance creation for an optimized capacitated vehicle routing model using discrete smell agent optimization algorithm by Ahmed T. Salawudeen, Olusesi A. Meadows, Basira Yahaya, Muhammed B. Mu'azu

“…The convergence rates of the algorithms were also compared; using the Optimized Depot (OD) techniques and results shows the acceptability of the proposed approaches.…”
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A Dynamic Hierarchical Clustering Data Gathering Algorithm Based on Multiple Criteria Decision Making for 3D Underwater Sensor Networks by Xiaoying Song, Wei Sun, Qilong Zhang

“…Furthermore, a sorting algorithm is used to form a clustering topology algorithm to solve the problem that there is the only node in one cluster. …”
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