An Ensemble for Automatic Time Series Forecasting With K-Nearest Neighbors by Maria P. Frias, Francisco Martinez

“…Furthermore, this paper also tests the effectiveness of some recent approaches for dealing with trending time series when using the k-nearest neighbors algorithm.…”
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Multicamera Real-Time 3D Modeling for Telepresence and Remote Collaboration by Benjamin Petit, Jean-Denis Lesage, Clément Menier, Jérémie Allard, Jean-Sébastien Franco, Bruno Raffin, Edmond Boyer, François Faure

“…It embeds a parallel version of the EPVH modeling algorithm inside a distributed vision pipeline. It also adopts the hierarchical component approach of the FlowVR middleware to enforce software modularity and enable distributed executions. …”
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Fault Detection, Isolation, and Accommodation for LTI Systems Based on GIMC Structure by D. U. Campos-Delgado, E. Palacios, D. R. Espinoza-Trejo

“…In order to improve the performance after a fault, the compensation is considered in two steps according with a fault detection and isolation algorithm. After a fault scenario is detected, a general fault compensator is activated. …”
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Computer Vision with Error Estimation for Reduced Order Modeling of Macroscopic Mechanical Tests by Franck Nguyen, Selim M. Barhli, Daniel Pino Muñoz, David Ryckelynck

“…This article details simple algorithmic choices that allowed a realistic mechanical modeling via computer vision.…”
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Reinforcement learning-based vehicle travel path reconstruction from sparse automatic licence plate recognition data by Qiuping Li, Hui Meng, Li Zhuo

“…Finally, the Q-learning algorithm is utilized to reconstruct vehicle travel paths between adjacent ALPR sensors based on the comprehensive reward function. …”
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Detection of Fungal Infections in Gloriosa Superba Plant Using the Convolution Neural Network Model by Guillermo Napoleón Pelaez-Diaz, Rosa Vílchez-Vásquez, Antonio Huaman-Osorio, R. Mahaveerakannan, S. Pushpa, Nilesh Shelke, Sumitha Jagadibabu, Jenifer Mahilraj

“…We used a deep learning-based convolution neural network (CNN) classifier model to optimize the CNN algorithm parameter for better prediction. The enhanced particle swarm optimization (PSO) technique was used for optimization. …”
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Long-Term Precipitation Analysis and Estimation of Precipitation Concentration Index Using Three Support Vector Machine Methods by Milan Gocic, Shahaboddin Shamshirband, Zaidi Razak, Dalibor Petković, Sudheer Ch, Slavisa Trajkovic

“…For the purpose of PCI prediction, three Support Vector Machine (SVM) models, namely, SVM coupled with the discrete wavelet transform (SVM-Wavelet), the firefly algorithm (SVM-FFA), and using the radial basis function (SVM-RBF), were developed and used. …”
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Gauge Deterioration Prediction of Urban Rail Transit Lines Based on CEEMD and SVR by JIA Qingtian, LIN Haijian, JIN Zhong

“…The PSO (particle swarm optimization) algorithm is utilized to optimize the SVR (support vector regression machine) to train and test the extracted data after calibrating the optimal parameters of the prediction model. …”
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Using WSR-88D Polarimetric Data to Identify Bird-Contaminated Doppler Velocities by Yuan Jiang, Qin Xu, Pengfei Zhang, Kang Nai, Liping Liu

“…This technique builds upon the existing hydrometeor classification algorithm (HCA) for dual-polarimetric WSR-88D radars developed at the National Severe Storms Laboratory, and it performs two steps. …”
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A Piecewise Hysteresis Model for a Damper of HIS System by Kaidong Tian, Bangji Zhang, Nong Zhang, Xuhui Liu, Jinchen Ji

“…The parameters of the model are identified based on genetic algorithm by setting the constraints of parameters according to their physical significances and the corresponding testing results. …”
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A Novel HPNVD Descriptor for 3D Local Surface Description by Jiming Sa, Xuecheng Zhang, Yuan Yuan, Yuyan Song, Liwei Ding, Yechen Huang

“…Moreover, the HPNVD-based point cloud registration algorithm shows excellent performance, further validating the effectiveness of the descriptor.…”
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Electromagnetic target detection model for unmanned aerial vehicle platforms based on Bayesian detection by DENG Wenjie, CHEN Song, WU Di, LIU Kaiyue, XU Ziliang, HE Runze

“…The performance of the novel model is derived and analyzed under a scanning coverage search algorithm. Analytical and simulation results indicate that the proposed model effectively describes the process of electromagnetic target detection. …”
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Fast and accurate near-duplicate image elimination for visual sensor networks by Zhili Zhou, QM Jonathan Wu, Fang Huang, Xingming Sun

“…Then in each near-duplicate group, we adopt PageRank algorithm to analyze the contextual relevance among images to select and reserve seed image and remove the others. …”
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Combined Damped Sinusoidal Oscillation Solutions to the (3 + 1)-D Variable-Coefficient Generalized NLW Equation in Liquid with Gas Bubbles by Xiuwang Wang, Jalil Manafian, Wayan Eka Mahendra, Azher M. Abed, Mustafa Z. Mahmoud, Guizhen Liang

“…Accordingly, we utilize a binary Bell polynomial transformation for reducing the Cole-Hopf algorithm to get the exact solutions of the VC generalized NLW equation. …”
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Imputation based wind speed forecasting technique during abrupt changes in short term scenario by Karan Sareen, Bijaya Ketan Panigrahi, Tushar Shikhola, Ravi Nath Tripathi, Ashok Kumar Rajput

“…Further, it is required to handle the variety of scenarios e.g. cyber‐attacks, unexpected power device malfunction, communication/sensor outages etc. that can cause the missing data.This paper proposes and employs a de‐noising autoencoder algorithm for wind speed forecasting to ensure the handling of missing data information. …”
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Practical Calling Approach for Exome Array-Based Genome-Wide Association Studies in Korean Population by Tae-Joon Park, Lyong Heo, Sanghoon Moon, Young Jin Kim, Ji Hee Oh, Sohee Han, Bong-Jo Kim

“…However, the automated clustering algorithm in an exome array has a genotype calling problem in accuracy for identifying rare and low-frequency variants. …”
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Optimal Connection of Offshore Wind Farm with Maximization of Wind Capacity to Power Systems considering Losses and Security Constraints by Leandro A. Vasconcelos, João A. Passos Filho, Leonardo W. de Oliveira, Othon F. Avila

“…The objective of this work is to present a methodology to determine the optimal OWF connection point in a power system, with maximum penetration of firm wind power and minimum loss, considering security constraints related to the “N−1” contingency criterion, exchange limits between areas, and a strategy to reduce the number of constraints in the optimization problem. The algorithm is modeled using a Mixed Integer Nonlinear Programming (MINLP), and it is evaluated in a tutorial system and three well-known other networks from literature: IEEE 14-Bus, IEEE RTS-79, and Southern Brazilian System.…”
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Effect of Tooth Profile Modification on Dynamic Tooth Load of Planetary Gear Train by Jiaming Zhou, Fengyan Yi, Xiangyang Xu, Junbin Lai, Yanfang Liu, Peng Dong

“…Finally, with the aim to obtain the optimal TPM for the minimization of dynamic load of PGT in both external and internal gear meshes, the genetic algorithm (GA) is employed. This research may shed light upon design optimization of PGT with respect to improvement of vibration performance by means of optimized TPM.…”
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Numerical investigation of infrared imaging of multi-UAV formation under cloud and rain weather conditions by Wenqiang Gao, Teng Zhang, Enling Tang, Enling Tang, Pengjun Zhang, Qinglin Niu

“…Considering the attenuation effects of clouds and rain on the infrared spectrum, a ground-based infrared imaging algorithm was developed. Infrared radiation imaging was conducted using the apparent ray tracing method and mesh clipping technology. …”
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Optimal Design and Dynamic Performance Analysis Based on the Asymmetric-Damping Vehicle ISD Suspension by Yujie Shen, Mengqi Jia, Kai Yang, Zhong Chen, Long Chen

“…The parameters of the proposed vehicle ISD suspension with symmetric-damping and asymmetric-damping features are optimized by means of the genetic algorithm in single-objective scenario and multiobjective scenario, respectively. …”
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