Browsing by Subject "Extraction"
Now showing items 1-20 of 21
-
A concept analysis scheme of simple stories for learning resources through extraction of domain-based multimedia elements
( International Association of Online Engineering , 2017 , Article)Children with special needs face major difficulties to understand the script of stories. They cannot comprehend the words' meaning properly. Instructors use different techniques to explain them. They read the script several ... -
A simple method for extracting the parameters of the PV cell single-diode model
( Elsevier Ltd , 2017 , Article)This paper aims to simplify the parameters' extraction for the solar cell single diode model and to show that there are many solutions. The proposed algorithm considers many pairs of ideality factor and series resistance. ... -
A study comparing conventional heating and microwave assistance heating to recover metals from Municipal Solid Waste using microwave-assisted leaching technique
( Qatar University Press , 2020 , Poster)This study investigates and compares microwave heating radiation with conventional heating. Incinerated Municipal Solid Waste (IMSW) bottom ash (BA) and fly ash (FA) was utilized to to recover various metals including Co, ... -
Adaptive and Predictive Control of Liquid-Liquid Extractors Using Neural-Based Instantaneous Linearization Technique
( WILEY-VCH Verlag GmbH & Co. , 2006 , Article)Nonlinearity of the extraction process is addressed via the application of instantaneous linearization to control the extract and raffinate concentrations. Two feed-forward neural networks with delayed inputs and outputs ... -
Application of data-driven attack detection framework for secure operation in smart buildings
( Elsevier Ltd , 2021 , Article)With the rapid advancement in the industrial control technologies and the increased deployment of the industrial Internet of Things (IoT) in the buildings sector, this work presents an analysis of the security of the ... -
Automatic signal abnormality detection using time-frequency features and machine learning: A newborn EEG seizure case study
( Elsevier B.V. , 2016 , Article)Time-frequency (TF) based machine learning methodologies can improve the design of classification systems for non-stationary signals. Using selected TF distributions (TFDs), TF feature extraction is performed on multi-channel ... -
Catalytic Fast Pyrolysis of Soybean Straw Biomass for Glycolaldehyde-Rich Bio-oil Production and Subsequent Extraction
( American Chemical Society , 2021 , Article)In this study, soybean straw (SS) as a promising source of glycolaldehyde-rich bio-oil production and extraction was investigated. Proximate and ultimate analysis of SS was performed to examine the feasibility and suitability ... -
Combining Fisher locality preserving projections and passband DCT for efficient palmprint recognition
( Elsevier B.V. , 2015 , Article)In this paper a new graph based approach referred to as Fisher Locality Preserving Projections (FLPP) is proposed for efficient palmprint recognition. The technique employs two graphs with the first being used to characterize ... -
Effect of time-dependent ibuprofen administration on the post operatory after impacted third molar extraction: a cross-over randomized controlled trial
( Springer Nature , 2022 , Article)Purpose: To evaluate time-dependent administration of ibuprofen in a lower third molar extraction model. Methods: Eleven patients requiring bilateral surgical removal of lower third molars were recruited and randomized ... -
Efficiency validation of one dimensional convolutional neural networks for structural damage detection using a SHM benchmark data
( International Institute of Acoustics and Vibration, IIAV , 2018 , Conference Paper)In this paper, a novel one dimensional convolution neural network (1D-CNN) based structural damage assessment technique is validated with a benchmark study published by IASC-ASCE Structural Health Monitoring Task Group in ... -
Energy-Aware Distributed Edge ML for mHealth Applications with Strict Latency Requirements
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Edge machine learning (Edge ML) is expected to serve as a key enabler for real-time mobile health (mHealth) applications. However, its reliability is governed by the limited energy and computing resources of user equipment ... -
Hybrid attack detection framework for industrial control systems using 1D-convolutional neural network and isolation forest
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Industrial control systems (ICSs) are used in various infrastructures and industrial plants for realizing their control operation and ensuring their safety. Concerns about the cybersecurity of industrial control systems ... -
Ionic liquids application for wastewater treatment and biofuel production: A mini review
( Elsevier B.V. , 2021 , Article Review)Commonly described as ionic compounds that are fluid below 100 C, Ionic Liquids (ILs) have found its application in several fields of science and engineering. Formerly limited in its use for electrochemical purposes, ILs ... -
Learning-free handwritten word spotting method for historical handwritten documents
( John Wiley and Sons Inc , 2021 , Article)Word spotting on degraded and noisy historical documents can become a challenging task considering the computational time and memory usage required to scan the entire document image. This paper proposes a new effective ... -
Long-term epileptic EEG classification via 2D mapping and textural features
( Elsevier Ltd , 2015 , Article)Interpretation of long-term Electroencephalography (EEG) records is a tiresome task for clinicians. This paper presents an efficient, low cost and novel approach for patient-specific classification of long-term epileptic ... -
Prevalence of microplastics in the marine waters of Qatar
( Elsevier Ltd , 2016 , Article)Microplastics are firmly recognized as a ubiquitous and growing threat to marine biota and their associated marine habitats worldwide. The evidence of the prevalence of microplastics was documented for the first time in ... -
Principles of time-frequency feature extraction for change detection in non-stationary signals: Applications to newborn EEG abnormality detection
( Elsevier Ltd , 2015 , Article)This paper considers the general problem of detecting change in non-stationary signals using features observed in the time-frequency (t,f) domain, obtained using a class of quadratic time-frequency distributions (QTFDs). ... -
Production of phycocyanin by Leptolyngbya sp. in desert environments
( Elsevier , 2020 , Article)Leptolyngbya sp. QUCCCM 56 was investigated as a possible alternative to A. platensis, for the production of phycocyanin-rich biomass under desert conditions. Under elevated temperatures and light intensities, of up to 40 ... -
Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)Early detection of the motor faults is essential and artificial neural networks are widely used for this purpose. The typical systems usually encapsulate two distinct blocks: feature extraction and classification. Such ... -
Structural damage detection in real time: Implementation of 1D convolutional neural networks for SHM applications
( Springer , 2017 , Conference Paper)Most of the classical structural damage detection systems involve two processes, feature extraction and feature classification. Usually, the feature extraction process requires large computational effort which prevent the ...