Recycled integrated circuit detection using reliability analysis and machine learning algorithms by Udaya Shankar Santhana Krishnan, Kalpana Palanisamy

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IMPLEMENTATION OF MESSAGE EMBEDDING INTO VIDEO USING RSA AND LSB2BIT ALGORITHMS by Ibnu Faiz Abdillah, Abdul Halim Hasugian, Armansyah Armansyah

“…The embedding process utilizes the Least Significant Bit (LSB) algorithm, while encryption and decryption are performed using the RSA algorithm. …”
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Evaluating and refining undersea cable path planning algorithms: A comparative study. by Tianjiao Wang, Zengfu Wang, Bill Moran, Xinyu Wang, Moshe Zukerman

“…This paper compares three automated path-planning algorithms based on publicly available data. The algorithms include a Dijkstra-based algorithm (DBA) that improves on the straightforward application of Dijkstra's algorithm, which restricts the path only to the grid edges. …”
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Design Optimization for Vibration Reduction of Viscoelastic Damped Structures Using Genetic Algorithms by Zhengchao Xie, W. Steve Shepard Jr., Keith A. Woodbury

“…To demonstrate the applicability of genetic algorithms (GAs), the approach is applied to a simple viscoelastically damped constrained-layer beam. …”
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Simultaneous Estimation of Soil Hydraulic and Thermal Properties Based on Multiobjective Optimization Algorithms by Jiachen Zhang, Na Li

“…This study employ multiobjective algorithms to evaluate the worth of different observation types in simultaneous estimations of the soil hydraulic and thermal properties in Inner Mongolia, China. …”
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Automated Defect Detection in Solar Cell Images Using Deep Learning Algorithms by Montaser Abdelsattar, Ahmed Abdelmoety, Mohamed A. Ismeil, Ahmed Emad-Eldeen

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Protocol to boost the robustness and accuracy of spatial transcriptomics algorithms using ensemble techniques by Jiazhang Cai, Shushan Wu, Huimin Cheng, Wenxuan Zhong, Guo-Cheng Yuan, Ping Ma

“…Here, we present a protocol for using weighted ensemble method for spatial transcriptomics (WEST), which uses ensemble techniques to boost the robustness and accuracy of existing algorithms. We describe steps for preprocessing data, obtaining embeddings from individual algorithms, and ensemble integrating all embeddings as a similarity matrix. …”
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Equivalent spectral bandwidth concept in ubiquitous networks and applications in vertical handoff algorithms by Su PAN, Qiang YE, Sheng-mei LIU

“…Future wireless telecommunication system will integrate heterogeneous wireless access networks and provide ubiquitous services.The concept of equivalent bandwidth for heterogeneous wireless networks was proposed to describe the resource occupation of users.This concept was adopted in the vertical handoff control algorithm with the Markov decision process model.The simulation results show that the proposed algorithm leads to larger revenue compared with the threshold based handoff algorithms.…”
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Multilayer Perceptron for Robust Nonlinear Interval Regression Analysis Using Genetic Algorithms by Yi-Chung Hu

“…Nevertheless, since training data are often corrupted by outliers, robust learning algorithms employed to resist outliers for interval regression analysis have been an interesting area of research. …”
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Analysis of the Tick Rule and Bulk Volume Classification algorithms in the Brazilian stock market by Leonardo Souza Siqueira, Laíse Ferraz Correia, Hudson Fernandes Amaral

“…The assets were split into three groups based on their volume, and actual data was used to assess the accuracy of both algorithms. Data from 2018 was used to estimate the parameters that best fit BVC, and transactions from 2019 were used to test the algorithm’s efficiency. …”
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Resource allocation algorithms in the reconfigurable network based on network centrality and topology potential by Zi-hou WANG, Yan-ni HAN, Tao LIN, Yue-mei XU, Hui TANG

“…In reconfigurable network environment,a major challenge is how to map virtual networks to the substrate network efficiently,network centrality and topology potential were introduced into the allocation of virtual resources.Two algorithms were proposed that consider the embedding problem with the attributes of network topology.Simulation experiments show that the proposed algorithms increase the acceptance ratio and the revenue,while decreasing the provisioning cost in the long term.…”
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Signal Processing Platforms and Algorithms for Real-Life Communications and Listening to Digital Audio by Alexander Petrovsky, Wanggen Wan, Manuel Rosa-Zurera, Alexey Karpov

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New methods and algorithms of the multifunctional optimization for CAE-system of some technological processes by O. I. Chichko

“…There are offered the models and algorithms for solution of the technological tasks, connected with optimization of the melts stream processes in gating systems and also for optimization of the process of the industrial details thermal treatment. …”
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Retracted: Multimedia Filtering Analysis of Massive Information Combined with Data Mining Algorithms by Advances in Multimedia

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Convergence of Some Iterative Algorithms for System of Generalized Set-Valued Variational Inequalities by M. Akram, Aysha Khan, M. Dilshad

“…Some parallel iterative algorithms are proposed, and the strong convergence of the sequences generated by these iterative algorithms is discussed. …”
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COVID-19 World Vaccination Progress Using Machine Learning Classification Algorithms by Nasiba M. Abdulkareem, Adnan Mohsin Abdulazeez, Diyar Qader Zeebaree, Dathar A. Hasan

Subjects: “…COVID-19 Vaccine, Machine learning, Classification algorithm, Dataset, weka…”
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Brain Midline Shift Measurement and Its Automation: A Review of Techniques and Algorithms by Chun-Chih Liao, Ya-Fang Chen, Furen Xiao

“…In landmark-based ones, MLS was measured following identification of specific anatomical landmarks. To validate these algorithms, measurements using these algorithms were compared to MLS measurements made by human experts. …”
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Comparison and Analysis of Algorithms for Coordinated EV Charging to Reduce Power Grid Impact by Cesar Diaz-Londono, Paolo Maffezzoni, Luca Daniel, Giambattista Gruosso

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Iterative Algorithms for Variational Inequalities Governed by Boundedly Lipschitzian and Strongly Monotone Operators by Caiping Yang, Songnian He

“…The algorithms in this paper improve and extend the corresponding results of He and Xu.…”
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On Quantum Methods for Machine Learning Problems Part II: Quantum Classification Algorithms by Farid Ablayev, Marat Ablayev, Joshua Zhexue Huang, Kamil Khadiev, Nailya Salikhova, Dingming Wu

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