Results 1 to 10 of about 7,059 (50)

Parameter-Free State Estimation Based on Kalman Filter with Attention Learning for GPS Tracking in Autonomous Driving System

Sensors, 2023
GPS-based maneuvering target localization and tracking is a crucial aspect of autonomous driving and is widely used in navigation, transportation, autonomous vehicles, and other fields.The classical tracking approach employs a Kalman filter with precise ...
Xue-Bo Jin, Wei Chen, Hui-Jun Ma, Jian-Lei Kong, Ting-Li Su, Yu-Ting Bai   +5 more
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A Hybrid Multi-Target Path Planning Algorithm for Unmanned Cruise Ship in an Unknown Obstacle Environment

Sensors, 2022
To solve the problem of traversal multi-target path planning for an unmanned cruise ship in an unknown obstacle environment of lakes, this study proposed a hybrid multi-target path planning algorithm. The proposed algorithm can be divided into two parts.
Jiabin Yu, Guandong Liu, Jiping Xu, Zhiyao Zhao, Zhihao Chen, Meng Yang, Xiaoyi Wang, Yuting Bai   +7 more
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Study on the Laser Melting Procedure for the Specified Zone of the TC4 Titanium Alloy

Crystals, 2023
This paper presents an in-depth study of the variable reference process to improve the organization and properties of selective laser melting TC4 specimens. A relationship equation between body energy density and stratification is proposed.
Jian Han, Shilong Jia, Yude Liu, Wentian Shi, Yusheng Zhou, Yuxiang Lin, Jihang Li, Yifan Han   +7 more
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The Investigation of Alignment of Business Intelligence capabilities and components in Conjunction with Creating Business Intelligence Benefits (case: SMEs of Tehran) [PDF]

Journal of Information Technology Management, 2016
This study aimed to evaluate the alignment of business intelligence capabilities and components in order to create Business Intelligences benefits based on Gartner Maturity Model.
Somayeh Bakhshandeh, Mohamad Hosein Rahmati   +1 more
doaj   +1 more source

A Multiscale Local–Global Feature Fusion Method for SAR Image Classification with Bayesian Hyperparameter Optimization Algorithm

Applied Sciences, 2023
In recent years, the advancement of deep learning technology has led to excellent performance in synthetic aperture radar (SAR) automatic target recognition (ATR) technology.
Xiaoqin Lian, Xue Huang, Chao Gao, Guochun Ma, Yelan Wu, Yonggang Gong, Wenyang Guan, Jin Li   +7 more
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A Reversible Automatic Selection Normalization (RASN) Deep Network for Predicting in the Smart Agriculture System

Agronomy, 2022
Due to the nonlinear modeling capabilities, deep learning prediction networks have become widely used for smart agriculture. Because the sensing data has noise and complex nonlinearity, it is still an open topic to improve its performance.
Xuebo Jin, Jiashuai Zhang, Jianlei Kong, Tingli Su, Yuting Bai   +4 more
doaj   +1 more source

A Variational Bayesian Deep Network with Data Self-Screening Layer for Massive Time-Series Data Forecasting

Entropy, 2022
Compared with mechanism-based modeling methods, data-driven modeling based on big data has become a popular research field in recent years because of its applicability.
Xue-Bo Jin, Wen-Tao Gong, Jian-Lei Kong, Yu-Ting Bai, Ting-Li Su   +4 more
doaj   +1 more source

PFVAE: A Planar Flow-Based Variational Auto-Encoder Prediction Model for Time Series Data

Mathematics, 2022
Prediction based on time series has a wide range of applications. Due to the complex nonlinear and random distribution of time series data, the performance of learning prediction models can be reduced by the modeling bias or overfitting.
Xue-Bo Jin, Wen-Tao Gong, Jian-Lei Kong, Yu-Ting Bai, Ting-Li Su   +4 more
doaj   +1 more source

BUSINESS INTELLIGENCE IN THE PROCESS OF DECISION MAKING: CHANGES AND TRENDS

Ekonomika, 2012
The concept of business intelligence has drawn substantial attention of both academicians and practitioners. As one of the fastest eveloping business application areas, business intelligence has also created a trail of confusion regarding its role ...
Gintarė Vizgaitytė, Skyrius. Rimvydas
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Methodologically grounded semantic analysis of large volume of chilean medical literature data applied to the analysis of medical research funding efficiency in Chile

Journal of Biomedical Semantics, 2020
Background Medical knowledge is accumulated in scientific research papers along time. In order to exploit this knowledge by automated systems, there is a growing interest in developing text mining methodologies to extract, structure, and analyze in the ...
Patricio Wolff, Sebastián Ríos, David Clavijo, Manuel Graña, Miguel Carrasco   +4 more
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