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An IV-SVM-based approach for identification of state-space LPV models under generic noise conditions
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
This paper presents a nonparametric identification method for state-space linear parameter-varying (LPV) models using a modified support vector machine (SVM) approach. While most LPV identification schemes in the state-space ...
Horizontal Two-Phase Flow Regime Identification with Machine Learning Classification Models
(
International Petroleum Technology Conference (IPTC)
, 2022 , Conference Paper)
This paper presents a follow-up study to Manikonda et al. (2021), which identified the best machine learning (ML) models for classifying the flow regimes in vertical gas-liquid two-phase flow. This paper replicates their ...
Letter-based classification of Arabic scripts style in ancient Arabic manuscripts
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Classifying ancient Arabic manuscripts based on handwriting styles is one of the important roles in the field of paleography. Recognizing the style of handwriting in Arabic manuscripts helps in identifying the origin and ...
Arabic handwriting recognition using sequential minimal optimization
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Due to the variability of writing styles and to other problems related to the nature of Arabic scripts, the recognition of Arabic handwriting is still awaiting accurate results. Segmentation of Arabic handwritten words ...
Power Generation Voting Prediction Model of Floating Photovoltaic System
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Solar energy is the most promising renewable energy within the Gulf area as annual solar irradiance is among the highest in the world (>2000kWh/m2). Therefore, countries within the Gulf area have focused their energy ...
A kernel-based approach to MIMO LPV state-space identification and application to a nonlinear process system
(
Elsevier B.V.
, 2015 , Conference Paper)
This paper first describes the development of a nonparametric identification method for linear parameter-varying (LPV) state-space models and then applies it to a nonlinear process system. The proposed method uses kernel-based ...
A support vector machine-based method for LPV-ARX identification with noisy scheduling parameters
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
In this paper, we present a method that utilizes support vector machines (SVM) to identify linear parameter-varying (LPV) auto-regressive exogenous input (ARX) models corrupted by not only noise, but also uncertainties in ...
Non-invasivemonitoring of fetal movements using time-frequency features of accelerometry
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
This paper presents a time-frequency approach for fetal movement monitoring which is based on the instantaneous amplitude (IA) and instantaneous frequency (IF) of signals collected using 3axial accelerometers placed over ...
An efficient hybrid prediction approach for predicting cloud consumer resource needs
(
IEEE Computer Society
, 2016 , Conference Paper)
The prediction of cloud consumer resource needs is a vital step for several cloud deployment applications such as capacity planning, workload management, and dynamic allocation of cloud resources. In this paper, we develop ...
EEG feature extraction and selection techniques for epileptic detection: A comparative study
(
IEEE Computer Society
, 2013 , Conference Paper)
Epileptic detection techniques rely heavily on the Electroencephalography (EEG) as representative signal carrying valuable information pertaining to the current brain state. For these techniques to be efficient and reliable, ...