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Visible light-driven metal-oxide photocatalytic CO2 conversion
(
John Wiley & Sons, Ltd.
, 2015 , Article)
In this work, nine photocatalysts were prepared by a conventional solid-state reaction method. The samples were characterized by X-ray diffraction, UV–Vis diffuse reflectance spectroscopy, surface area measurements based ...
ShakeMe: Key generation from shared motion
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
Devices equipped with accelerometer sensors such as today's mobile devices can make use of motion to exchange information. A typical example for shared motion is shaking of two devices which are held together in one hand. ...
Texture analysis for colorectal tumour biopsies using multispectral imagery
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
Colorectal cancer is one of the most common cancers in the world. As part of its diagnosis, a histological analysis is often run on biopsy samples. Multispecral imagery taken from cancer tissues can be useful to capture ...
Partial shoeprint retrieval using multiple point-of-interest detectors and SIFT descriptors
(
IOS Press
, 2015 , Article)
Shoeprint evidence collected from crime scenes can play an important role in forensic investigations. Usually, the analysis of shoeprints is carried out manually and is based on human expertise and knowledge. As well as ...
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 ...
Classification of EEG signals for detection of epileptic seizure activities based on LBP descriptor of time-frequency images
(
IEEE Computer Society
, 2015 , Conference Paper)
This paper presents novel time-frequency (t-f) feature extraction approach for the classification of EEG signals for Epileptic seizure activities detection. The proposed features are based on Local Binary Patterns (LBP) ...
FPGA Implementation of Orthogonal Matching Pursuit for Compressive Sensing Reconstruction
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Article)
In this paper, we present a novel architecture based on field-programmable gate arrays (FPGAs) for the reconstruction of compressively sensed signal using the orthogonal matching pursuit (OMP) algorithm. We have analyzed ...
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 ...
Time-frequency image descriptors-based features for EEG epileptic seizure activities detection and classification
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
This paper presents new class of time-frequency (T-F) features for automatic detection and classification of epileptic seizure activities in EEG signals. Most previous methods were based only on signal features derived ...
Undecimated wavelet-based Bayesian denoising in mixed Poisson-Gaussian noise with application on medical and biological images
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
Due to photon and readout noise biomedical images are generally contaminated by a mixed Poisson-Gaussian noise. In this paper, we propose a Bayesian image denoising methodology for images corrupted by a mixed Poisson-Gaussian ...