Prediction of Optimum Operating Parameters to Enhance the Performance of PEMFC Using Machine Learning Algorithms by Arunadevi M, Karthikeyan B, Anirudh Shrihari, Saravanan S, Sundararaju K, R Palanisamy, Mohamed Awad, Mohamed Metwally Mahmoud, Daniel Eutyche Mbadjoun Wapet, Abdulrahman Al Ayidh, Hany S. Hussein, Mahmoud M. Hussein, Ahmed I. Omar

“…With a high degree of accuracy, machine learning algorithms (MLAs) can be applied to solve nonlinear problems in FCs, including performance prediction, service life prediction, and fault diagnostics. …”
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Optimizing Solid Oxide Fuel Cell Performance Using Advanced Meta-Heuristic Algorithms by Siva Ram Rajeyyagari, Srinivas Nowduri

“…Our approach utilizes a Radial Basis Function (RBF) neural network trained with experimental data encompassing five input parameters: oxygen concentration, operating temperature, instrumentation, electrolyte thickness, and electrical current, with the goal of optimizing the single output parameter of power. The main novelty of this work lies in the application of six meta-heuristic algorithms for optimizing the weights and biases of the trained RBF network. …”
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A New Approach to Topology Optimization with Genetic Algorithm and Parameterization Level Set Function by Igor Pehnec, Damir Sedlar, Ivo Marinic-Kragic, Damir Vučina

“…In this paper, a new approach to topology optimization using the parameterized level set function and genetic algorithm optimization methods is presented. The impact of a number of parameters describing the level set function in the representation of the model was examined. …”
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ALGORITHM OF DIAGNOSTICS AND TREATMENT OF ELDERLY AND SENILE PATIENTS WITH ACUTE CHOLECYSTITIS, CHOLEDOCHOLITHIASIS AND OBSTRUCTIVE JAUNDICE by M. D. Dibirov, G. S. Rybakov, V. L. Domarev, M. A. Vasilyeva, B. M. Brodetsky, M. V. Kosachenko

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Obstacle avoidance algorithm based on sub-image segmentation and mapping point cloud space by Liya ZHANG, Chenxin LI, Bin LIU, Zhifang YANG

“…In order to improve the obstacle avoidance ability of mine inspection robots under long-distance and complex working conditions, adjust the travel route in real time and achieve the avoidance of obstacles, based on the inspection and obstacle avoidance system with the fusion of multi-source sensing of infrared cameras and lidars, the main work is as follows: A robot obstacle avoidance algorithm based on sub-image segmentation and mapping of point cloud space is proposed. …”
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Cutting-Edge Stochastic Approach: Efficient Monte Carlo Algorithms with Applications to Sensitivity Analysis by Ivan Dimov, Rayna Georgieva

“…To validate the theoretical findings and study the applicability of the algorithms across diverse problem classes, extensive numerical experiments were conducted to calculate the main sensitivity indicators—Sobol’ global sensitivity indices. …”
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Development of an Algorithm for Semantic Segmentation of Earth Remote Sensing Data to Determine Phytoplankton Populations by Yu. V. Belova, I. F. Razveeva, E. O. Rakhimbaeva

“…To automate the detection of phytoplankton distribution areas, a computer vision algorithm based on the U-Net CNN was developed. The model was evaluated by the calculated values of the main quality metrics related to segmentation tasks. …”
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Comparative analysis and application of rockburst prediction model based on secretary bird optimization algorithm by Tengjie Yang, Tengjie Yang, Xinqiang Gao, Xinqiang Gao, Lichuan Wang, Yongqing Xue, Haobo Fan, Zhengguo Zhu, Zhengguo Zhu, Jingbo Zhao, Beiyi Dong, Beiyi Dong

“…The initial database was equalized and visualized using the Adasyn and t-SNE algorithms. Five rockburst prediction models [support vector machine (SVM), least-squares support vector machine (LSSVM), kernel extreme learning machine (KELM), Random Forest (RF), and XGBoost] were established by employing the Secretary Bird Optimization (SBO) algorithm and 5-fold cross-validation to optimize performance. …”
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Generic multidimensional economic environmental operation of power systems using equilibrium optimization algorithm by Mohamed T. Mouwafi, Adel A. Abou El-Ela, Amany A. El-Hamoly, Ragab A. El-Sehiemy

“…Abstract The economic emission load dispatch (EELD) problem is one of the main challenges to power system operators due to the complexity of the interconnected power systems and the non-linear characteristics of the objective functions (OFs). …”
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Algorithms for Load Balancing in Next-Generation Mobile Networks: A Systematic Literature Review by Juan Ochoa-Aldeán, Carlos Silva-Cárdenas, Renato Torres, Jorge Ivan Gonzalez, Sergio Fortes

“…In this context, we identify the main topics related to cellular networks and machine learning algorithms in order to pinpoint areas where the optimization of parameters is crucial. …”
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MP-LLAVRec: an agricultural product recommendation algorithm based on LLAVA and user modal preference by Peishan Li, Peishan Li, Peishan Li, Lutao Gao, Lutao Gao, Lutao Gao, Lilian Zhang, Lilian Zhang, Lilian Zhang, Lin Peng, Lin Peng, Lin Peng, Chunhui Bai, Chunhui Bai, Chunhui Bai, Linnan Yang, Linnan Yang, Linnan Yang

“…However, the following three problems still exist in the traditional agricultural product recommendation domain: (1) the problem of missing modalities made it difficult for consumers to intuitively and comprehensively understood the product information; (2) most of them relied on shallow information about the basic attributes of agricultural products and ignored the deeper associations among the products; (3) they ignored the deeper connections among individual users and the intrinsic associations between the user embedding and the localized user representation in different modalities, which affected the accuracy of user modeling and hindered the final recommendation effect.MethodsTo address these problems, this paper innovatively proposed an agricultural product recommendation algorithm based on LLAVA and user behavioral characteristics, MP-LLaVRec(Modal Preference - Large Language and Vision Recommendation). …”
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Assessing the Performance of DWT-PCA/SVD Face Recognition Algorithm under Multiple Constraints by Joseph Agyapong Mensah, Louis Asiedu, Felix O. Mettle, Samuel Iddi

“…The post hoc analysis using the Bonferroni simultaneous confidence interval revealed that the significant difference established through the pairwise comparison test was mainly due to the sad expressions. Although the performance of the DWT-PCA/SVD algorithm declined as compared to its performance on single constraints, the algorithm attained appreciable performance level under multiple constraints. …”
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Application of Ontology Matching Algorithm Based on Linguistic Features in English Pronunciation Quality Evaluation by Shan Zhu

“…External features are mainly obtained by calculating the hierarchical centrality, node density, and node coverage of nodes in the ontology tree; internal features are mainly obtained by measuring the richness of internal information. …”
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Topology control algorithm backing for network coding in cognitive wireless ad hoc networks by Jun LIU, Qian SUN, Ying-mei WANG, Ning YE, Ming-bo SHA

“…In order to study the limited bandwidth resource in cognitive wireless ad hoc network,a topology control algo-rithm backing for network coding was proposed.The algorithm was mainly composed of three phases.In the stage of ini-tial topology construction,the algorithm used the shortest path algorithm to construct topology for unicast services,used the shortest path algorithm based on network coding to construct topology for multicast services.In the stage of topology optimization,the algorithm deleted links which met certain conditions one by one to optimize the topology.In the stage of topology recovery,the algorithm used the least cost links which were not in the path cluster including failed links to recover network connectivity.Simulation results show that the proposed algorithm can improve the spatial reuse of radio resource and enhance network invulnerability.…”
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Neutrosophic Simulated Annealing Algorithm and Its Application in Operation Optimization in Dangerous Goods Warehouse by Fangwei Zhang, Zhenrui Chen, Jun Ye, Bing Han

“…In the classical simulated annealing algorithm (SAA), the iteration feasible solution is mainly based on a certain random probability. …”
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A Fault Diagnosis Scheme for Aircraft Multibranches Wiring Network Based on Matching Algorithm by Wang Liwen, Zhang Lu, Xu Meng, Shi Xudong

“…This paper mainly describes a fault diagnosis scheme for aircraft multibranches wiring networks. …”
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Acceleration Harmonic Estimation in a Hydraulic Shaking Table Using Water Cycle Algorithm by Jianjun Yao, Zhenshuai Wan, Yu Fu

“…Hydraulic shaking table is mainly used to stimulate the desired vibration environment and evaluate the shock resistance of structure. …”
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Network security traffic detection and legal supervision based on adaptive metric learning algorithm by Liu Zhen

“…Using the vertex weighted function algorithm, we can analyze the Time complexity of the original algorithm and calculate more accurate time values. …”
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Background Traffic-Based Retransmission Algorithm for Multimedia Streaming Transfer over Concurrent Multipaths by Yuanlong Cao, Changqiao Xu, Jianfeng Guan, Hongke Zhang

“…However, the current researches on CMT-SCTP mainly focus on the algorithms related to the data delivery performance while they seldom consider the background traffic factors. …”
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Distributed denial-of-service (DDOS) attack detection using supervised machine learning algorithms by S. Abiramasundari, V. Ramaswamy

“…The CICIDS2018, CICIDS2017, and CICDDoS-2019 datasets are used to evaluate the performances of ML algorithms. Various performance metrics of these algorithms are studied and compared to find the best algorithm that yields the highest accuracy. …”
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