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Found 9 papers, 0 papers with code
Classification of Dysarthria based on the Levels of Severity. A Systematic Review
Specifically, this review will focus on determining the most effective set and type of features that can be used for automatic patient classification and evaluating the best AI techniques for this purpose.
Complex Wavelet SSIM based Image Data Augmentation
One of the biggest problems in neural learning networks is the lack of training data available to train the network.
Radial Based Analysis of GRNN in Non-Textured Image Inpainting
Image inpainting algorithms are used to restore some damaged or missing information region of an image based on the surrounding information.
Handwritten Character Recognition Using Unique Feature Extraction Technique
One of the most arduous and captivating domains under image processing is handwritten character recognition.
Intensity and Rescale Invariant Copy Move Forgery Detection Techniques
CopyMove Forgery CMF is one of the most common forgeries present in an image where a cluster of pixels are duplicated in the same image with potential postprocessing techniques.
Copy Move Forgery using Hus Invariant Moments and Log Polar Transformations
There exist a number of algorithms to detect such a forgery in which the primary step involved is feature extraction.
Implementation of Neural Network and feature extraction to classify ECG signals
This paper presents a suitable and efficient implementation of a feature extraction algorithm (Pan Tompkins algorithm) on electrocardiography (ECG) signals, for detection and classification of four cardiac diseases: Sleep Apnea, Arrhythmia, Supraventricular Arrhythmia and Long Term Atrial Fibrillation (AF) and differentiating them from the normal heart beat by using pan Tompkins RR detection followed by feature extraction for classification purpose . The paper also presents a new approach towards signal classification using the existing neural networks classifiers.
Sentiment Analysis on Speaker Specific Speech Data
Sentiment analysis has evolved over past few decades, most of the work in it revolved around textual sentiment analysis with text mining techniques.
Efficient Licence Plate Detection By Unique Edge Detection Algorithm and Smarter Interpretation Through IoT
Also, through IoT, we connect all the cameras in a geographical area to one server to create a universal eye which drastically increases the probability of tracing a vehicle over having manual database attached to each camera for identification purpose.
