Deep Learning algorithm for the assessment of the first damage initiation monitoring the energy release of materials by Dario Santonocito, Dario Milone

“…This work aims to create a universal methodology that predicts the limit stress by assessing the change in temperature trend by adopting Neural Networks. A Deep Learning algorithm has been created and trained on experimental data coming from static tensile tests performed on several classes of materials (steels, plastics, composite materials). …”
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A kurtosis-ESPRIT algorithm for RealTime stability assessment in droop controlled microgrids by Adham Osama, Abdallah F. El-Hamalawy, Mohammed E. Ammar, Amr M. AbdelAty, Hatem H. Zeineldin, Tarek H. M. EL-Fouly, Ehab F. El-Saadany

“…The modes obtained from the proposed algorithm are validated against the analytically derived modes and the estimation accuracy is compared to the recent methods: Prony, Matrix Pencil, and Subspace Identification techniques. …”
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A Comparative Study Evaluated the Performance of Two-class Classification Algorithms in Machine Learning by Shilan Abdullah Hassan, Maha Sabah Saeed

“…Among these algorithms, the Two-Class Boosted Decision Tree method demonstrated outstanding prediction ability, achieving a 100% accuracy rating. …”
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Multichannel Filtered-X Error Coded Affine Projection-Like Algorithm with Evolving Order by J. G. Avalos, A. Rodriguez, H. M. Martinez, J. C. Sanchez, H. M. Perez

“…Affine projection (AP) algorithms are commonly used to implement active noise control (ANC) systems because they provide fast convergence. …”
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Retracted: IOT Monitoring System for Ship Operation Management Based on YOLOv3 Algorithm by Journal of Control Science and Engineering

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Design and Optimization of Iron Cow Stem with Flaps by Finite Element Method and Genetic Algorithm by Khaled Kamal Oude, Ali Adelkhani

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Solution Algorithms for Single-Machine Group Scheduling with Learning Effect and Convex Resource Allocation by Wanlei Wang, Jian-Jun Wang, Ji-Bo Wang

“…To solve the general case of problem, the heuristic, tabu search, and branch-and-bound algorithms are proposed.…”
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Comparative analysis of extensive form zero sum game algorithms for Poker like games by Behbod Keshavarzi, Hamidreza Navidi

“…Abstract The resolution of extensive-form zero-sum games is a fundamental challenge in computational game theory, addressed through various algorithms, each with unique strengths and limitations. …”
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Solving Singular Two-Point Boundary Value Problems Using Continuous Genetic Algorithm by Omar Abu Arqub, Zaer Abo-Hammour, Shaher Momani, Nabil Shawagfeh

“…In this paper, the continuous genetic algorithm is applied for the solution of singular two-point boundary value problems, where smooth solution curves are used throughout the evolution of the algorithm to obtain the required nodal values. …”
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Accurate LAI estimation of soybean plants in the field using deep learning and clustering algorithms by Bing Shi, Luqi Guo, Lejun Yu

“…Subsequently, individual segmentation was achieved using the Watershed approach and k-means clustering algorithms, segmenting the field soybeans into individual plants. …”
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The Application of Convolutional Neural Network Combined with Fuzzy Algorithm in Colorectal Endoscopy for Tumor Assessment by Te-Jen Su, Feng-Chun Lee, Cheuk-Kwan Sun, Fu-Xiang Ke, Shih-Ming Wang, Ming-Chih Huang

“…When this method is combined with the patient’s physical data, the risk cancer can be calculated by the fuzzy algorithm. Based on the result of this study, the accuracy of the tumor profile by colonoscopy, that is, 81.6%, is more precise than that of colorectal cancer tumor analysis studies in the recent literature. …”
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Architectural Interior Modeling Product Design Based on the Multimedia Three-Dimensional Hybrid Algorithm by Tao Su, Gang Ouyang

“…The simulation experiment results show that the model based on the multimedia 3D hybrid algorithm has high practicability.…”
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Photovoltaic System Modeling with Fuzzy Logic Based Maximum Power Point Tracking Algorithm by Hasan Mahamudul, Mekhilef Saad, Metselaar Ibrahim Henk

“…This paper represents a novel modeling technique of PV module with a fuzzy logic based MPPT algorithm and boost converter in Simulink environment. …”
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Groundwater Single- and Multiobjective Optimization Using Harris Hawks and Multiobjective Billiards-Inspired Algorithm by AbdolGhafour Gerey, Amirpouya Sarraf, Hassan Ahmadi

“…This is the first attempt to combine the Multiobjective Billiards-Inspired Optimization Algorithm (MOBOA) with groundwater modelling to determine pumping rates within a well-distributed range of Pareto options. …”
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A Fast Density-Based Clustering Algorithm for Real-Time Internet of Things Stream by Amineh Amini, Hadi Saboohi, Teh Ying Wah, Tutut Herawan

“…Therefore, density-based clustering algorithm is a proper choice for clustering IoT streams. …”
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Performance Prediction of Building Integrated Photovoltaic System Using Hybrid Deep Learning Algorithm by Manivannan Ragupathi, Rengaraj Ramasubbu

“…Here, we demonstrate how to use the multitask learning algorithm to create a multitime scale model for solar BIPV forecasting. …”
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Constant Force PID Control for Robotic Manipulator Based on Fuzzy Neural Network Algorithm by Zhu Dachang, Du Baolin, Zhu Puchen, Chen Shouyan

“…Secondly, fuzzy neural network algorithm is proposed, and two kinds of turning parameters are derived for trajectory tracking and contact constant force control. …”
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A hybrid wavelet-wiener noise reduction algorithm for geomagnetic signals in dynamic positioning by Mingduo Li, Jinhua Wang, Liwen Guo, Qinggang Meng, Mengqian Li, Jinliang Hou, Aoze Duan, Haotian Sun

Subjects: “…Wavelet-Wiener noise reduction algorithm…”
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Detection of Cracks in Rotating Shafts by Using the Combination Resonances Approach and the Approximated Entropy Algorithm by Rodrigo Nicoletti, Aldemir A. Cavalini, Valder Steffen

“…In this context, the uniqueness of this paper relies on the possibility of detecting incipient transverse cracks in rotating shafts by associating the combination resonances approach with the so-called Approximated Entropy algorithm (ApEn algorithm). ApEn is a statistical value used to quantify irregularities in data series. …”
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Finocyl Grain Design Using the Genetic Algorithm in Combination with Adaptive Basis Function Construction by Saeed Mesgari, Mehrdad Bazazzadeh, Alireza Mostofizadeh

“…Finally, a case study is done to verify the proposed algorithm. Observed results show that the grain design method reduced the design time significantly, and this algorithm can be used in designing any grain type.…”
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