Application of Finite Mixture of Logistic Regression for Heterogeneous Merging Behavior Analysis by Gen Li

“…This model can automatically provide useful hidden information about the characteristics of the driver population. EM algorithm and Newton-Raphson algorithm were used to estimate the parameters. …”
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Liver Disease Classification using the NAIVE BAYES by Vitra Nurhalisa, Ika Nur Fajri

“…The fast training time and transparent probabilistic predictions of the Naive Bayes algorithm make it a practical solution for developing a prototype of a medical decision support system. …”
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Optimization of Quantitative Financial Data Analysis System Based on Deep Learning by Meiyi Liang

“…In order to better assist investors in the evaluation and decision-making of financial data, this paper puts forward the need to build a reliable and effective financial data prediction model and, on the basis of financial data analysis, integrates deep learning algorithm to analyze financial data and completes the financial data analysis system based on deep learning. …”
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Entropy-Guided Distributional Reinforcement Learning with Controlling Uncertainty in Robotic Tasks by Hyunjin Cho, Hyunseok Kim

“…To address this, we improve the truncated quantile critics algorithm by managing uncertainty in robotic applications. …”
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Design and Implementation of OLAP System for Distributed Data Warehouse by Murtadha Hamad, Abdullah Mahdi

“…Statistical analysis concepts are used from current work to get predictable results which can be used to get suitable result DSS.…”
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Information support for chub mackerel Scomber japonicus fishery in the Pacific waters of the Russian Federation by E. P. Chernienko, I. S. Chernienko

“…The fishery statistics for 2016–2020 and the data on SST with delay of 4–7 days from the date of catch, spatial SST gradients calculated using Belkin algorithm, and day-to-day SST variations were processed using LightGBM machine learning algorithm. …”
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Nove lincidence matrix differential power analysis for resisting ghost peak by Zijing JIANG, Qun DING

“…At present, differential power analysis (DPA) is one of the most important threats to the security of block ciphers in chips.When the collected power trace is insufficient, DPA is vulnerable to ghost peak caused by the difference mean value generated by the wrong key.Based on DPA, a incidence matrix differential power analysis (IMDPA) was proposed which could effectively resist ghost peak.The prediction difference mean matrix was constructed to avoid the influence of the non leaking interval on the key guessing of the leaking interval by using the weak correlation of the guessing key in the non leaking interval.The proposed IMDPA was tested in different leak intervals of AES-128 algorithm.The results show that compared with traditional DPA, IMDPA requires less (up to 85%) power trace to guess the correct key.At the same time, the key guessing efficiency of AES-128 under the implementation of protective measures by IMDPA still has obvious advantages.In order to further verify the universality of IMDPA in block ciphers, experimental verification is conducted on SM4 algorithm.Compared with traditional DPA, IMDPA requires less (up to 87.5%) power traces to guess the correct key.…”
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DPM-based method for tracking maneuvering targets in wireless sensor networks by LIN Jin-zhao1, LI Guo-jun2, ZHOU Xiao-na2, ZHOU Dao-jun 2, JIANG Yong 2

“…Focused on energy efficiency issues under tracking targets within WSN,a new dynamic power management（DPM） method for tracking distributed targets was proposed combining with the network energy consumption model and wake-up mechanism.With precedent location information of maneuvering target,the algorithm involved both cancelling noise by wavelet filter and predicting target state by autoregressive transformation is introduced to awaken wireless sensor nodes so that their sleep time is prolonged and energy consumption is reduced.According to the current location of maneuvering target,related nodes in an appointed cluster of WSN constitute a distributed dynamic tracking unit,and the cluster head is responsible for collecting the measurement information from the nodes in the tracking unit.A locating algorithm based on the relative posi-tion of two circulars formed on the bases of measurement information is adopted to simplify the process of locatiny and tracking target.Simulation results show that the DPM-based method can reduce the nodes’ energy consumption,meet the locating and tracking accuracy,and can be applied to locate and track the maneuvering targets on the earth surface.…”
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Study on Angular Velocity Measurement for Characterizing Viscous Resistance in a Ball Bearing by Kyungmok Kim

“…For accurate detection of the rotating marker, the algorithm employed Multi-Otsu thresholding and the Least Squares Method (LSM). …”
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Research on Passenger Flow Assignment of High-Speed Trains Based on Personalized Itinerary Choice by Jinzi Zheng

“…An equilibrium passenger flow assignment model based on personalized choice is built and an improved Monte-Carlo random simulation algorithm is designed for solving the model. The actual ticket sale data for Beijing-Shanghai high-speed railway are used to verify the feasibility of the proposed model and algorithm. …”
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Low Complexity Mode Decision for 3D-HEVC by Qiuwen Zhang, Nana Li, Yong Gan

“…In this paper, a fast mode decision algorithm based on variable size CU and DE is proposed to reduce 3D-HEVC computational complexity. …”
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BDS Multipath Parameter Estimation in the Presence of Impulsive Noise by Jicheng Ding, Lin Zhao, Chun Jia, Zhibin Luo

“…A modified least mean p-norm (LMP) algorithm is developed to reduce the convergence time with the same steady-state error by predicting the updating trend of weights. …”
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Research on a Panoramic Image Stitching Method for Images of Corn Ears, Based on Video Streaming by Yi Huangfu, Hongming Chen, Zhonghao Huang, Wenfeng Li, Jie Shi, Linlin Yang

“…<b>Methods:</b> A summary of corn ear panoramic stitching methods under complex backgrounds is presented as follows: 1. a perceptual hash algorithm and histogram equalization were used to extract video frames; 2. the U-Net image segmentation model based on transfer learning was used to predict corn labels; 3. a mask preprocessing algorithm was designed; 4. a corn ear splicing positioning algorithm was designed; 5. an algorithm for irregular surface expansion was designed; 6. an image stitching method based on template matching was adopted to assemble the video frames. …”
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Developing an Artificial Neural Network-Based Grading Model for Energy Consumption in Residential Buildings by Yaser Shahbazi, Sahar Hosseinpour, Mohsen Mokhtari Kashavar, Mohammad Fotouhi, Siamak Pedrammehr

“…This study uses the K-Nearest Neighbors (KNN) algorithm to classify energy consumption grades based on energy ratio (R-value). …”
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Forecasting the vapor pressure deficit in vertical farming facilities aiming to provide optimal indoor conditions by Carlos Alejandro Perez Garcia, Dafni Despoina Avgoustaki, Enrica Santolini, Daniele Torreggiani, Thomas Bartzanas, Patrizia Tassinari, Marco Bovo

“…This research develops and validates a prediction model based on NeuralProphet algorithm to assess the vapor pressure deficit in a vertical farming facility. …”
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Machine Learning-Based Cost Estimation Models for Office Buildings by Guolong Chen, Simin Zheng, Xiaorui He, Xian Liang, Xiaohui Liao

“…This paper explores the application of algorithm-optimized back propagation neural networks and support vector machines in predicting the costs of office buildings. …”
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A fast identification method for multi-joint robot load based on improved Fourier neural network by Xia Yue, Jionghao Mo, Zhibin Li, Haiteng Li, Chunliang Zhang, Shangbin Long

“…It only needs to learn several alternate sample sets in the prediction range, and any results in the prediction range can be accurately identified with good generalization ability. …”
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Classification and Application of Roof Stability of Bolt Supporting Coal Roadway Based on BP Neural Network by Heng Ren, Yongjian Zhu, Ping Wang, Peng Li, Yuqun Zhang, Xizhi Wang, Yingying Li

“…Through on-site investigation, numerical analysis, and other research methods, 6 evaluation indicators were determined, and according to the relevant evaluation factors and four types of coal roadway roof stability, a neural network structure for roof stability prediction was constructed to realize the quantitative prediction of the roof stability of bolt-supported coal roadway. …”
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Modeling of a Tethered Testbed for a VTVL Vehicle by Marco Sagliano, Stephan Theil, Johanna Schramm, Matthias Schwarzwald

“…This paper proposes an algorithm for modeling a three-dimensional tethered environment for testing vertical-take off, vertical landing vehicles. …”
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Quantitative sub-ice and marine tracing of Antarctic sediment provenance (TASP v1.0) by J. W. Marschalek, E. Gasson, T. van de Flierdt, C.-D. Hillenbrand, M. J. Siegert, M. J. Siegert, L. Holder

“…These results show that the algorithm could be used to predict the provenance signature of past ice sheet configurations. …”
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