Results 211 to 220 of about 98,441 (260)

A Biologically Constrained Continuous-Time Framework for Long-Horizon Cognition Forecasting in Alzheimer’s Disease

open access: yes
Deepika P   +4 more
europepmc   +1 more source

Cascaded predictive speed control

IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, 2014
This work proposes a new control scheme for electrical drives system, named cascaded predictive speed control (PSC). The strategy seeks to maintain the simplicity of the classic predictive control while excluding linear or other controllers. The control strategy has a cascade architecture, similar to the techniques of classical control (FOC or DTC ...
Cristian Garcia 0001   +5 more
openaire   +1 more source

Burst Time Prediction in Cascades

Proceedings of the AAAI Conference on Artificial Intelligence, 2015
Studying the bursty nature of cascades in social media is practically important in many applications such as product sales prediction, disaster relief, and stock market prediction. Although the cascade volume prediction has been extensively studied, how to predict when a burst will come remains an open problem.
Senzhang Wang   +4 more
openaire   +2 more sources

Predicting Content Virality in Social Cascade

2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, 2013
Predicting why and how certain content goes viral is attractive for many applications, such as viral marketing and social network applications, but is still a challenging task today. Existing prediction algorithms focus on predicting the content popularity without considering the timing. Those algorithms are based on information that may be uncommon or
Ming Cheung 0001, James She, Lei Cao
openaire   +1 more source

DeepDiffuse: Predicting the 'Who' and 'When' in Cascades

2018 IEEE International Conference on Data Mining (ICDM), 2018
Cascades are an accepted model to capturing how information diffuses across social network platforms. A large body of research has been focused on dissecting the anatomy of such cascades and forecasting their progression. One recurring theme involves predicting the next stage(s) of cascades utilizing pertinent information such as the underlying social ...
Mohammad Raihanul Islam   +4 more
openaire   +1 more source

Multi-stage Cascaded Prediction

1999
Two-level predictors deliver highly accurate conditional branch prediction, indirect branch target prediction and value prediction. Accurate prediction enables speculative execution of instructions, a technique that increases instruction level parallelism. Unfortunately, the accuracy of a twolevel predictor is limited by the cost of the predictor table
Karel Driesen, Urs Hölzle
openaire   +1 more source

Defect prediction for Cascading Style Sheets

Applied Soft Computing, 2016
Graphical abstractDisplay Omitted Testing is a crucial activity in software development. However exhaustive testing of a given software is impossible in practice because projects have serious time and budget limitations. Therefore, software testing teams need guidance about which modules they should focus on. Defect prediction techniques are useful for
Mehmet Serdar Biçer, Banu Diri
openaire   +2 more sources

The misadjustment of the cascaded LMS prediction filter

2009 IEEE International Symposium on Circuits and Systems, 2009
In this paper, we use a stochastic fixed-point theorem to study the stochastic convergence properties (in mean-squares sense) of the cascaded LMS predictor including conditions on the stepsize for the adaptive algorithm convergence and the misadjustment.
Dong-Yan Huang, Susanto Rahardja
openaire   +2 more sources

A Predictive and Sliding Mode Cascade Controller

2007 American Control Conference, 2007
This paper presents a cascade control structure to determine the open-loop optimal linear surface parameters for the sliding mode control of nonlinear mechanical systems. A discrete-time, nonlinear model predictive controller is used to update the time-invariant parameters of the sliding mode control surfaces in order to achieve some performance ...
Kenneth R. Muske   +2 more
openaire   +2 more sources

Community structure enhanced cascade prediction

Neurocomputing, 2019
Abstract Predicting cascade is a popular issue which can be applied in viral marketing, trending topic detection, network supervision and so on. Conventional methods heavily depend on the hypothesis of diffusion models or hand-crafted rules, which is difficult to generalize to other domains.
Chaochao Liu   +2 more
openaire   +1 more source

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