Copula-Based Regression with Mixed Covariates by Saeed Aldahmani, Othmane Kortbi, Mhamed Mesfioui

“…These estimators range from non-parametric to semi-parametric and fully parametric, offering flexibility in modeling regression relationships. An adapted algorithm is applied to construct copulas and simulations are carried out to replicate datasets, estimate prediction model parameters, and compare with the OLS method. …”
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TREATMENT OF PATIENTS WITH EXTERNAL PANCREATIC FISTULAS AFTER PERCUTANEOUS DRAINAGE INTERVENTIONS OF PANCREATIC PSEUDOCYSTS by D. Yu. Semenov, A. A. Rebrov, V. V. Vasil’yev, A. A. Vaganov, O. V. Poliglottov, V. V. Baryshnikova, А. P. Bogdanov, Z. A. Gunya

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Design Optimization of Compliant Mechanisms for Vibration- Assisted Machining Applications Using a Hybrid Six Sigma, RSM-FEM, and NSGA-II Approach by Huy-Tuan Pham, Van-Khien Nguyen, Quang-Khoa Dang, Thi Van Anh Duong, Duc-Thong Nguyen, Thanh-Vu Phan

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Research on the In-Depth Interpretation of Measured Pressure Data During Fluid Sampling with Dual Packers by YU Qiang, CHU Xiaodong, ZHOU Yanmin, QIN Xiaofei, KONG Sun, ZUO Youxiang

“…In this paper, the reservoir simulation software is used to simulate the pumping process of dual packer, and two pressure/flow data deconvolution algorithm (Schroeter algorithm and Levitan algorithm) are introduced to invert the permeability parameter radius from a few centimeters to hundreds of meters. …”
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Investigation of the Relation between South and Southwest Iran\'s Heavy Rainfall with Atmospheric Rivers (ARs). by Nesa sepandar, kamal omidvar

“…In this study, we tried to identify the sources of moisture and its direction of heavy rainfall in south and southwest of Iran by using a new algorithm based on atmospheric rivers. For this purpose, daily rainfall of 17 synoptic stations in the period 1986 to 2015 in south and southwestern Iran that have a common time span and fully cover the study area is used.Also from the data set of the National Center for Environmental Prediction / National Center for Atmospheric Research (NCEP / NCAR) European Mid-Term Forecast Center (ECMWF) and ERA-interim data with spatial resolution of 0.75 It was used at 0.75 latitude and longitude with 6 hour resolution. …”
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Research on Control System for Material Transport Vehicle Based on Stacking Model by LIU Yuanming, TANG Lingsi, Zen Shuhua

“…Firstly, a stacking model was established according to material characteristics, enabling accurate prediction of material distribution to prevent partial loading. …”
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Joint Data Hiding and Partial Encryption of Compressive Sensed Streams by Cristina-Elena Popa, Constantin-Cristian Damian, Daniela Coltuc

“…For insertion, we use a reversible data hiding (RDH) scheme, which is a prediction error expansion algorithm modified to match the statistics of CS measurements. …”
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A Real-time Train Perception Method for Obstacle Intrusion Based on Front View Projection by HE Qian, JIANG Guotao, DONG Wenbo, PI Zhichao, YANG Hailang, CHEN Meilin

“…By incorporating correction of sensor synchronization errors based on point cloud prediction, a judgment regarding track intrusion can be made, dependent on the projected obstacle point cloud and calculated clearance. …”
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Migration and mutation (MeTa) hybrid trained ANN for dynamic spectrum access in wireless body area network by Geoffrey Eappen, Shankar T, Rajesh A

“…However, conventional AI-based spectrum sensing methods for the precise prediction and sorting of unoccupied spectrum have limitations in terms of convergence to local optima. …”
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Variables Selection in the Ultraviolet, Visible and Near Infrared Range for Calibration of a Mixture of Vegetable Oils by Absorbance Spectra by М. A. Khodasevich, D. A. Borisevich

“…Calibration uses three methods for spectral variables selection: the successive projections algorithm, the method of searching combination moving window, and method for ranking variables by correlation coefficient.The application of the successive projections algorithm, ranking variables by correlation coefficient and searching combination moving window makes it possible to reduce the value of the root mean square error of prediction from 0.63 % for wideband projection to latent structures to 0.46 %, 0.50 %, and 0.03 %, respectively.The developed method of multivariate calibration by projection to latent structures of absorbance spectra in UV, visible and near IR ranges using the spectral variables selection by searching combination moving window is a simple and effective method of detecting adulteration of flaxseed oil.…”
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AIMP-Based Power Allocation for Radar Network Tracking Under Countermeasures Environment by Xiaoyou Xing, Longxiao Xu, Lvwan Nie, Xueting Li

“…Next, the target RCS prediction algorithm is introduced, and the AIMP power allocation method is proposed jointly considering the electronic jamming and the impact of the target RCS. …”
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Optimization for Metro Operation Scheme of Suburban Lines: A New Method for Dealing with the Imbalanced Passenger Flow by Xiaobing Ding, Gan Shi, Jiangang Jin, Lixing Yang, Zhigang Liu

“…Finally, a set of numerical experiments with operation data from Shanghai Metro Line 16 are conducted to verify the performance and effectiveness of the proposed model and algorithm. The experimental results show that the proposed approach can effectively realize the collaborative optimization of passenger OD prediction, train proportion, stop scheme, and travel time, so as to provide decision-making support and method guidance for the optimization of metro organizations in megacities.…”
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Development of Interactive Learning Application for Basic Programming Based on Technological Pedagogical Content Knowledge Framework by Daniel Yulius Soetjipto, Hendra Dinata, Melissa Angga, Jovan Adriel Widjaja

“… Information technology students must take Algorithms and Programming. Research shows that 28% of US students fail their basic programming subject, which is essential to mastering programming. …”
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A Method of Modal Parameter Identification for Wind Turbine Blade Based on Binocular Dynamic Photogrammetry by Wenyun Wang, Xuejun Li, Anhua Chen

“…The data-driven stochastic subspace identification (SSI-Data) method based on the Kalman filter prediction sequence is explored to extract modal parameters from vibration response under unknown excitation. …”
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A general two-group constants estimator for 17x17 PWR assembly configurations using artificial neural networks by Gökhan Pediz, M. Alim Kırışık

“…The prediction measures show that ANNs can consistently estimate two-group constants for the test data assemblies. …”
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Tightly Coupled LIDAR/IMU/UWB Fusion via Resilient Factor Graph for Quadruped Robot Positioning by Yujin Kuang, Tongfei Hu, Mujiao Ouyang, Yuan Yang, Xiaoguo Zhang

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Application of DE-RF and Fuzzy Model in Camber Control of Hot Rolled Strip by WEI Zhipeng, CUI Guimei, PI Lixiang, LI Tianhao

“… In order to solve the problem of slab bending affecting strip quality in 2250mm hot strip rolling process, a method based on data fusion and expert experience is proposed to apply to slab bending control system.Firstly, the differential evolution algorithm is established to optimize the stochastic forest regression model to solve the problem of insufficient accuracy of slab detection lag prediction.The model can effectively predict the bending value of the slab at the exit of the third pass roughing mill, and the estimated error is 96.3% of the slab within the allowable range.Then a fuzzy model is established according to the expert experience and data to solve the manual operation uncertainty problem.The model gets the roll slit tilt value twice respectively, and the experimental results show that the calculated value of the fuzzy model has a small error compared to the actual value and it can provide the roll gap tilt value reliably.Finally, the two roll gap tilt values are added together as the second roll gap tilt value. …”
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A Novel Mechanism for Fire Detection in Subway Transportation Systems Based on Wireless Sensor Networks by Zhen-Jiang Zhang, Jun-Song Fu, Hua-Pei Chiang, Yueh-Min Huang

“…The mechanism uses the quantity information acquired from the data and also considers the distribution information of the data in order to predict the occurrence of fire incidents. The simulation results show that fire incidents can be detected fast and efficiently.…”
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A cost-effective adaptive repair strategy to mitigate DDoS-capable IoT botnets. by Jiamin Hu, Xiaofan Yang

“…On this basis, we model the ARS problem as a data-driven optimal control problem, aiming to realize both learning and prediction of propagation parameters based on network traffic data observed at multiple discrete time slots and control of IoT botware propagation to a desired infection level. …”
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Creating Worlds that Create Audiences: Theorising Personal Data Markets in the Age of Communicative Capitalism by Vassilis Charitsis, Detlev Zwick, Alan Bradshaw

“…Echoing recent theorisations of data (as) derivatives, Zuboff’s key claim about surveillance capitalism is that data representations open up opportunities for the enhanced market control of life through the algorithmic monitoring, prediction and modification of human behaviour. …”
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