Empirical mode decomposition of hyperspectral images for support vector machine classification

B Demir, S Ertürk - IEEE Transactions on Geoscience and …, 2010 - ieeexplore.ieee.org
This paper presents the utilization of empirical mode decomposition (EMD) of hyperspectral
images to increase the classification accuracy using support vector machine (SVM)-based …

Denoising method for Raman spectra with low signal-to-noise ratio based on feature extraction

XY Zhao, GY Liu, YT Sui, M Xu, L Tong - Spectrochimica Acta Part A …, 2021 - Elsevier
Raman spectroscopy is a non-destructive technique utilizing lasers to observe scattered
light in order to determine things such as vibrational modes in the molecular system. A major …

Visual enhancement of underwater images using empirical mode decomposition

AT Çelebi, S Ertürk - Expert Systems with Applications, 2012 - Elsevier
Most underwater vehicles are nowadays equipped with vision sensors. However, it is very
likely that underwater images captured using optic cameras have poor visual quality due to …

Micro-ultrasonic assessment of early stage clot formation and whole blood coagulation using an all-optical ultrasound transducer and adaptive signal processing …

D Biswas, J Heo, P Sang, P Dey, K Han, JH Ko… - ACS …, 2022 - ACS Publications
Abnormal formation of solid thrombus inside a blood vessel can cause thrombotic morbidity
and mortality. This necessitates early stage diagnosis, which requires quantitative …

Gyroscope-Driven Mouse Pointer with an EMOTIV® EEG Headset and Data Analysis Based on Empirical Mode Decomposition

G Rosas-Cholula, JM Ramirez-Cortes… - Sensors, 2013 - mdpi.com
This paper presents a project on the development of a cursor control emulating the typical
operations of a computer-mouse, using gyroscope and eye-blinking electromyographic …

Feature selection algorithm for evoked EEG signal due to RGB colors

ET Alharbi, S Rasheed… - 2016 9th International …, 2016 - ieeexplore.ieee.org
In this paper, a single trial classification is introduced for the Electroencephalography (EEG)
signals evoked by RGB colors. The effectiveness of a single trial classification is an …

Empirical mode decomposition based visual enhancement of underwater images

AT Çelebi, S Ertürk - … on Image Processing Theory, Tools and …, 2010 - ieeexplore.ieee.org
Most underwater vehicles are nowadays equipped with vision sensors. However,
underwater images captured using optic cameras can be of poor quality due to lighting …

Denoising hyperspectral images using Hilbert vibration decomposition with cluster validation

UP Shukla, SJ Nanda - IET Image Processing, 2018 - Wiley Online Library
Denoising of hyperspectral images is an essential step to remove the visual artifacts and
improve the quality of an image. There are various sources of noise such as dark current …

Feature extraction of underwater images by combining fuzzy C-means color clustering and LBP texture analysis algorithm with empirical mode decomposition

M Somasekar, S Sakthivel Murugan - Proceedings of the Fourth …, 2019 - Springer
Submerged objects discovery has been broadly completed by utilizing an acoustic device
like side-scan sonar (SSS) which captured the pictures of seabed silt and structures. Such …

A new approach to harness data for measuring invisible lost time in drilling operations

V Lakhanpal, R Samuel - SPE Annual Technical Conference and …, 2017 - onepetro.org
Drilling operations can include invisible lost time (ILT), within productive time and
nonproductive time (NPT). ILT is the time lost because a portion of the drilling operation is …