Browsing by Subject "Pattern recognition"
Now showing items 1-18 of 18
-
A context-aware approach for long-term behavioural change detection and abnormality prediction in ambient assisted living
( Elsevier , 2015 , Article)This research aims to describe pattern recognition models for detecting behavioural and health-related changes in a patient who is monitored continuously in an assisted living environment. The early anticipation of anomalies ... -
A Low Power Reconfigurable Multi-sensing Platform For Gas Application
( Hamad bin Khalifa University Press (HBKU Press) , 2014 , Conference Paper)Presence of toxic gases and accidental explosions in gas industries have turned the researcher to innovate an electronic nose system which can indicate the nature and the parameters of the gas passing through different ... -
A multi-sensing reconfigurable platform for gas applications
( IEEE , 2014 , Conference Paper)The production of hazardous gases due to different physicochemical reactions in gas industries have raised the need of autonomous sensor tag. However the adaptation of remotely controlled sensor tag is still suffering with ... -
An interactive software tool for gas identification
( Elsevier B.V. , 2018 , Article)This paper presents the design of an interactive graphical user interface (GUI) to monitor and quantify a developed electronic nose (EN) platform for gas identification. To this end, an EN system has been implemented using ... -
An investigation to study the effects of Tai Chi on human gait dynamics using classical machine learning
( Elsevier , 2022 , Article)Tai Chi has been proven effective in preventing falls in older adults, improving the joint function of knee osteoarthritis patients, and improving the balance of stroke survivors. However, the effect of Tai Chi on human ... -
Artificial intelligence approach to total organic carbon content prediction in shale gas reservoir using well logs: A review
( ICIC International , 2021 , Article)The most important element for the exploration and development of oil and oil shale is total organic carbon (TOC). TOC estimation is considered a challenge for geologists since laboratory methods are expensive and ... -
Custom IP cores for robust data analysis and pattern recognition algorithms used in gas applications
( Institute of Electrical and Electronics Engineers Inc. , 2013 , Conference Paper)This paper presents an overview of a PhD research project, completed tasks and future work. The aim of the research is to contribute to the improvement of gas identification systems at different levels by designing and ... -
Human gait recognition with cane assistive device using quadratic time-frequency distributions
( Institution of Engineering and Technology , 2015 , Article)In this study, the authors consider the problem of human gait recognition in the presence of a walking cane using radars. Quadratic time-frequency distributions are used to provide the local signal behaviour over frequency ... -
Improved gait recognition based on gait energy images
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)The performance of gait recognition systems are usually affected by clothing, carrying conditions, and other intraclass variations which are also referred to as covariates. This paper proposes a supervised feature selection ... -
Influence of codebook patterns on writer recognition: An experimental study
( Blackwell Publishing Ltd , 2021 , Article)Codebook-based writer characterization is an effective technique that has been investigated in a number of recent studies on identification and verification of writers. These methods divide a set of writing samples into ... -
Joint K-Means quantization for Approximate Nearest Neighbor Search
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Recently, Approximate Nearest Neighbor (ANN) Search has become a very popular approach for similarity search on large-scale datasets. In this paper, we propose a novel vector quantization method for ANN, which introduces ... -
Learned vs. engineered features for fine-grained classification of aquatic macroinvertebrates
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Aquatic macroinvertebrate biomonitoring is an efficient way of assessment of slow and subtle anthropogenic changes and their effect on water quality. It is imperative to have reliable identification and counts of the various ... -
Matching Face Images Taken on the Same Day or Months Apart: the Limitations of Photo ID
( John Wiley & Sons, Ltd. , 2013 , Article)It is well-established that matching images of unfamiliar faces is rather error prone. However, there is an important mismatch between face matching in laboratory and realistic settings. All of the currently available ... -
Motion-Aware Graph Regularized RPCA for background modeling of complex scenes
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Computing a background model from a given sequence of video frames is a prerequisite for many computer vision applications. Recently, this problem has been posed as learning a low-dimensional subspace from high dimensional ... -
Nonparametric structural damage detection algorithm for ambient vibration response: Utilizing artificial neural networks and self-organizing maps
( American Society of Civil Engineers (ASCE) , 2016 , Article)This study presentes a new nonparametric structural damage detection algorithm that integrates self-organizing maps with a pattern-recognition neural network to quantify and locate structural damage. In this algorithm, ... -
Structural health monitoring with self-organizing maps and artificial neural networks
( Springer New York LLC , 2020 , Conference Paper)The use of self-organizing maps and artificial neural networks for structural health monitoring is presented in this paper. The authors recently developed a nonparametric structural damage detection algorithm for extracting ... -
Time-frequency features for pattern recognition using high-resolution TFDs: A tutorial review
( Elsevier Inc. , 2015 , Article)This paper presents a tutorial review of recent advances in the field of time-frequency (t, f) signal processing with focus on exploiting (t, f) image feature information using pattern recognition techniques for detection ... -
Unsupervised feature selection method for improved human gait recognition
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)Gait recognition is an emerging biometric technology which aims to identify people purely through the analysis of the way they walk. The technology has attracted interest as a method of identification because it is ...