Search
Now showing items 1-9 of 9
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...