Robust Optimization of Planar Constrained Mechanical System with Varying Joint Clearance Size Based on Sensitivity Analysis by Yong Gao, Fang Zhang, Yuanyuan Li

“…In the algorithm, a multiobjective robust optimization model derived from the mean and variance of the objective function is constructed. …”
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3D Curvelet-Based Segmentation and Quantification of Drusen in Optical Coherence Tomography Images by M. Esmaeili, A. M. Dehnavi, H. Rabbani

“…To address this need, a fully automated algorithm was developed to segment drusen area and volume from SD-OCT images. …”
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Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks by A.V. Dobshik, S.K. Verbitskiy, I.A. Pestunov, K.M. Sherman, Yu.N. Sinyavskiy, A.A. Tulupov, V.B. Berikov

“…In this paper, an automatic algorithm aimed at volumetric segmentation of acute ischemic stroke lesion in non-contrast computed tomography brain 3D images is proposed. …”
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Cyclic Peak Extraction from a Spatial Likelihood Map for Multi-Array Multi-Target Bearing-Only Localization by Chuanxing Hu, Bo Zhang, Xishan Yang, Zhaokai Zhai, Dai Liu

“…Then, a multi-target cyclic peak extraction algorithm based on a statistical dual-threshold is proposed, which eliminates false peaks by cyclic extraction of target positions, so as to reduce false targets. …”
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Flexible Bus Route Optimization Scheduling Model by Ji-yang Sun, Yan-yan Chen, Jian-ling Huang, Pan-yi Wei, Cheng-cheng Song

“…Finally, the practicabilities of the model and algorithm are verified by an example. Analysis results show that for 102 travel demands of 15 randomly generated demand points, completing all services requires 17–21 vehicles with average travel time of 24.59 minutes each. …”
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Nonlinear Failure Analysis of Critical Area of Transmission Towers Based on the Continuum Damage Theory by Nailong Zhang, Jie Chen, Chao Gao, Xiao Tan, Hongze Li

“…A material subroutine for elastic-plastic-damage constitutive equations is developed using commercial software, and thorough verification ensures the accuracy of both the subroutine and the algorithm. The proposed algorithm is then applied to analyze the damage in critical areas of a tower, simulating the plasticity-damage coupling evolution of the main leg during the collapse of the transmission tower. …”
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Fast Flexible Direct Power Flow for Unbalanced and Balanced Distribution Systems by Debasis Kumar Patel, Swapna Mansani, Arup Kumar Goswami

“…Finally, to validate the proposed algorithm, the proposed strategy is applied to numerous balanced and unbalanced distribution systems.…”
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A hybrid critical channels and optimal feature subset selection framework for EEG fatigue recognition by Hanying Guo, Siying Chen, Yongjiang Zhou, Ting Xu, Yuhao Zhang, Hongliang Ding

“…The model first selects critical EEG channels using the Differential Evolution (DE) algorithm, extracting important electrode channel information to enhance recognition accuracy. …”
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Technical, forensic and organisational aspects of work with Monero cryptocurrency by V. V. Nosov, O. V. Manzhai, V. O. Kovtun

“…The work of this algorithm in the test network Stagenet is modelled. …”
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Integrated Bioinformatics Identifies FREM1 as a Diagnostic Gene Signature for Heart Failure by Chenyang Jiang, Weidong Jiang

“…Integrating three machine learning methods, the least absolute shrinkage and selection operator (LASSO) algorithm, random forest (RF) algorithm, and support vector machine recursive feature elimination (SVM-RFE) are used to determine candidate diagnostic gene signals. …”
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A Reliable Approach for Solving Transmission Network Expansion Planning with Objective of Planning Cost Reduction by Yongqiu Liu

“…The obtained transmission expansion planning results show the efficiency of the proposed algorithm.…”
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Identifying RBBP7 as a Promising Diagnostic Biomarker for BK Virus-Associated Nephropathy by Yicun Wang, Yuxuan Wang, Di Zhang, Hao Zhang, Wei Wang, Xiaopeng Hu

“…Subsequently, weighted gene co-expression network analysis and support vector machines (SVM) algorithm identified RBBP7 as a robust and promising biomarker with high accuracy in both training and validation cohorts (AUC =0.938, 0.977, respectively). …”
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Radiographic Measurements and Diagnosis of Hip Dysplasia in Infants Using Computer Vision and a Rule-Based System by Ernesto Pérez Pérez, Roberto Díaz Amador, Karina Leonor Fernández Sánchez, José Julio Requeiro Molina, José Julio Requeiro Morejón

“…<br /><strong>Methods</strong>: study of technological innovation, where the Viola-Jones artificial vision algorithm was used for the detection of structures, as well as a rule-based system with a view to a diagnosis suggestion. …”
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Increasing Neural-Based Pedestrian Detectors’ Robustness to Adversarial Patch Attacks Using Anomaly Localization by Olga Ilina, Maxim Tereshonok, Vadim Ziyadinov

“…The experimental results show that the proposed method is effective in defending against adversarial patch attacks. Using the YOLOv3 algorithm with the proposed defensive method for pedestrian detection in the INRIAPerson dataset under the adversarial attacks, the mAP50 metric reaches 80.97% compared to 46.79% without a defensive method. …”
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Machine Learning- and Feature Selection-Enabled Framework for Accurate Crop Yield Prediction by Sandeep Gupta, Angelina Geetha, K. Sakthidasan Sankaran, Abu Sarwar Zamani, Mahyudin Ritonga, Roop Raj, Samrat Ray, Hussien Sobahi Mohammed

“…Then, feature selection is performed using the Relief algorithm. Features are extracted using the linear discriminant analysis algorithm. …”
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A Study of an IT-Assisted Higher Education Model Based on Distributed Hardware-Assisted Tracking Intervention by Haijun Liu

“…The effectiveness of the algorithm is demonstrated by the simulation experimental results. …”
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A novel differential evolution method with a hierarchical decoder for the photovoltaic layout optimization problem by Yuanqing Yao, Yibo Wang, Hongjie Jia, Yunfei Mu

“…Firstly, we propose a hierarchical decoder which includes a grided layout process coupled with a clustering method to zone the site and position equipment, followed by the application of the A* algorithm to determine the efficient cable paths. This process is further refined using the differential evolution algorithm, tailored to meet the constraints of photovoltaic plant design while enhancing the solution search scope. …”
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Maximizing information in neuron populations for neuromorphic spike encoding by Ahmad El Ferdaoussi, Eric Plourde, Jean Rouat

“…This work proposes an approach based on maximizing the mutual information between the signal and the spikes in the population of neurons. The proposed algorithm is inspired by the information-theoretic framework of Partial Information Decomposition. …”
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An Improved Demand Forecasting Model Using Deep Learning Approach and Proposed Decision Integration Strategy for Supply Chain by Zeynep Hilal Kilimci, A. Okay Akyuz, Mitat Uysal, Selim Akyokus, M. Ozan Uysal, Berna Atak Bulbul, Mehmet Ali Ekmis

“…This improved model is based on the analysis and interpretation of the historical data by using different forecasting methods which include time series analysis techniques, support vector regression algorithm, and deep learning models. To the best of our knowledge, this is the first study to blend the deep learning methodology, support vector regression algorithm, and different time series analysis models by a novel decision integration strategy for demand forecasting approach. …”
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Offshore Wind Farm Layout Optimization Considering the Power Collection System Cost by S. G. Obukhov, D. Y. Davydov

“…This is 7–11 % higher than the result obtained by using the MST algorithm, which performs the construction of a circuit of cable joints of a simplified topology. …”
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