Results 11 to 20 of about 71,817 (254)

Research on Traffic Accident Risk Prediction Based on Spatio-Temporal Graph Convolutional Network [PDF]

open access: yesJisuanji gongcheng, 2022
Traffic accident prediction is the analysis of past road traffic accident data and other related factors to predict the future state of road traffic accidents.Most of the previous research methods have typically been traditional machine-learning methods ...
WANG Qingrong, WEI Yimeng, ZHU Changfeng, TIAN Keke
doaj   +1 more source

Modelling urban expansion with cellular automata supported by urban growth intensity over time

open access: yesAnnals of GIS, 2023
The simulation of urban expansion has become an important means to assist urban development planning and ecological sustainable development. However, the spatial and temporal heterogeneities of urban expansion has been a major challenge for modelling ...
Jinqu Zhang   +3 more
doaj   +1 more source

Intelligence based Accurate Medium and Long Term Load Forecasting System

open access: yesApplied Artificial Intelligence, 2022
In this study, we aim to provide an efficient load prediction system projected for different local feeders to predict the Medium- and Long-term Load Forecasting.
Faisal Mehmood Butt   +7 more
doaj   +1 more source

Linear Proportional-Integral-Differential-Robustified Continuous-Time Optimal Predictive Control for a Class of Nonlinear Systems

open access: yesApplied Sciences, 2022
This paper presents a novel robust optimal predictive control approach for a class of nonlinear continuous-time systems perturbed by unknown disturbances.
Guilin Wu, Haisong Ang, Qingxi Li
doaj   +1 more source

Alternative stopping rules to limit tree expansion for random forest models

open access: yesScientific Reports, 2022
Random forests are a popular type of machine learning model, which are relatively robust to overfitting, unlike some other machine learning models, and adequately capture non-linear relationships between an outcome of interest and multiple independent ...
Mark P. Little   +2 more
doaj   +1 more source

Hybrid Predictor Based Four-Phase Adaptive Reversible Watermarking

open access: yesIEEE Access, 2018
Reversible watermarking has gained importance due to increased involvement of digital media in sensitive fields, such as medical and law enforcement.
Muhammad Ishtiaq   +4 more
doaj   +1 more source

Reversible image authentication scheme based on prediction error expansion

open access: yesIndonesian Journal of Electrical Engineering and Computer Science, 2021
<span>Reversible image authentication scheme is a technique that detects tampered areas in images and allows them to be reconstructed to their original version without any distortion. In this article, a new, reversible, image authentication scheme based on prediction error expansion is proposed for digital images.
Nguyen, Thai-Son, Vo, Phuoc-Hung
openaire   +3 more sources

Reversible Data Hiding Scheme Based on Quad-Tree and Pixel Value Ordering

open access: yesIEEE Access, 2019
This study proposes a reversible data hiding (RDH) scheme based on pixel value ordering (PVO). RDH schemes based on PVO technique generally realize the prediction procedure by employing the sorted pixels in a block-wise manner, and then embedding secret ...
Jian-Jun Li   +4 more
doaj   +1 more source

Reversible Data Hiding Method for Interpolated Images Based on Modulo Operation and Prediction-Error Expansion

open access: yesIEEE Access, 2023
Image reversible data hiding (RDH) using interpolation technology (IT) provides high single-layer embedding capacity and has become a research hotspot.
Mengting Fan   +2 more
doaj   +1 more source

High-Capacity Reversible Watermarking through Predicted Error Expansion and Error Estimation Compensation [PDF]

open access: yesThe KIPS Transactions:PartB, 2010
Reversible watermarking which can preserve the original quality of the digital contents and protect the copyright has been studied actively. Especially, in medical, military, and art fields, the need for reversible watermarking is increasing. This paper proposes a high-capacity reversible watermarking through predicted error expansion and error ...
Hae-Yeoun Lee, Kyung-Su Kim
openaire   +1 more source

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