Results 11 to 20 of about 10,105,014 (311)
An Integral Methodology for Predicting Long-Term RTN [PDF]
IEEE Transactions on Electron Devices, 2022 Random Telegraph Noise (RTN) adversely impacts circuit performance and this impact increases for smaller devices and lower operation voltage. To optimize circuit design, many efforts have been made to model RTN. RTN is highly stochastic, with significant device-to-device variations.
Kean H. Tok +9 more
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LTN: Long-Term Network for Long-Term Motion Prediction [PDF]
2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021 Making accurate motion prediction of surrounding agents such as pedestrians and vehicles is a critical task when robots are trying to perform autonomous navigation tasks. Recent research on multi-modal trajectory prediction, including regression and classification approaches, perform very well at short-term prediction.
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Long‐term prediction intervals with many covariates [PDF]
Journal of Time Series Analysis, 2021 Accurate forecasting is one of the fundamental focuses in the literature of econometric time‐series. Often practitioners and policymakers want to predict outcomes of an entire time horizon in the future instead of just a singlek‐step ahead prediction.
Sayar Karmakar +2 more
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Goal-driven Long-Term Trajectory Prediction [PDF]
2021 IEEE Winter Conference on Applications of Computer Vision (WACV), 2021 The prediction of humans' short-term trajectories has advanced significantly with the use of powerful sequential modeling and rich environment feature extraction. However, long-term prediction is still a major challenge for the current methods as the errors could accumulate along the way.
Hung Tran, Vuong Le, Truyen Tran 0001
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Long-term prediction results of PM2.5 concentration.
, 2023 Long-term prediction results of PM2.5 concentration.
Caiwang Tai (12506662) +6 more
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Auditing Risk Prediction of Long-Term Unemployment [PDF]
Proceedings of the ACM on Human-Computer Interaction, 2022 As more and more governments adopt algorithms to support bureaucratic decision-making processes, it becomes urgent to address issues of responsible use and accountability. We examine a contested public service algorithm used in Danish job placement for assessing an individual's risk of long-term unemployment.
Cathrine F. Seidelin +3 more
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Thermal error compensation method of truss robot beam structure based on mechanism and data drive
International Journal of Advanced Robotic Systems, 2023 As the main supporting component of the truss robot, the thermal deformation of the beam often has a great influence on the overall thermal error of the truss robot due to its large span.
Long Li +3 more
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Enhancement of Coronary Heart Disease Prediction using Stacked Long Short Term Memory
Jurnal Teknologi dan Manajemen Informatika, 2023 The high incidence of death caused by coronary heart disease has become a global concern in the world of health, where patients with coronary heart disease are no longer only adults and the elderly, yet there are now so many cases of coronary heart ...
Cinthiya Cinthiya +1 more
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Long-Term Image Boundary Prediction
Proceedings of the AAAI Conference on Artificial Intelligence, 2018 Boundary estimation in images and videos has been a very active topic of research, and organizing visual information into boundaries and segments is believed to be a corner stone of visual perception. While prior work has focused on estimating boundaries for observed frames, our work aims at predicting boundaries of future unobserved ...
Bhattacharyya, A. +3 more
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Methodology for long-term prediction of time series [PDF]
Neurocomputing, 2007 In this paper, a global methodology for the long-term prediction of time series is proposed. This methodology combines direct prediction strategy and sophisticated input selection criteria: k-nearest neighbors approximation method (k-NN), mutual information (MI) and nonparametric noise estimation (NNE).
Antti Sorjamaa +4 more
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