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AUTOMATICA
2007
80views more  AUTOMATICA 2007»
13 years 10 months ago
Fast, large-scale model predictive control by partial enumeration
Partial enumeration (PE) is presented as a method for treating large, linear model predictive control applications that are out of reach with available MPC methods. PE uses both a...
Gabriele Pannocchia, James B. Rawlings, Stephen J....
JCIT
2008
131views more  JCIT 2008»
13 years 10 months ago
Intelligent Tutoring System: Predicting Students Results Using Neural Networks
In this paper we propose methods to utilize Artificial Neural Networks to obtain knowledge for the management of educational resources. The final evaluations provide us a model th...
E. R. Naganathan, R. Venkatesh, N. Uma Maheswari
TWC
2008
103views more  TWC 2008»
13 years 10 months ago
Exact BER analysis for M-QAM modulation with transmit beamforming under channel prediction errors
Abstract--Significant throughput improvements can be obtained in multiple-input multiple-output (MIMO) fading channels by merging beamforming at the transmitter and maximal ratio c...
Eduardo Martos-Naya, José F. Paris, Unai Fe...
MICRO
2010
IEEE
238views Hardware» more  MICRO 2010»
13 years 8 months ago
Sampling Dead Block Prediction for Last-Level Caches
Last-level caches (LLCs) are large structures with significant power requirements. They can be quite inefficient. On average, a cache block in a 2MB LRU-managed LLC is dead 86% of ...
Samira Manabi Khan, Yingying Tian, Daniel A. Jimen...
ICASSP
2011
IEEE
13 years 1 months ago
Epileptic seizure prediction using the spatiotemporal correlation structure of intracranial EEG
A patient-specific seizure prediction algorithm is proposed that extracts novel multivariate signal coherence features from ECoG recordings and classifies a patient’s pre-seiz...
James R. Williamson, Daniel W. Bliss, David W. Bro...