Tag: feature extraction.

Science Press Release Distribution Services

Attendance Capturing and Consolidation Mechanism Using Image Processing and Machine Learning Technique

Microwave ovens had a crucial role in the twentieth century. This frequency also sees a lot of application development. Microwave tube advancements have aided numerous growths in the recent past. Based on the RF field phase velocity, microwave tubes can be classed as slow-wave or fast-wave devices. A high-power source and amplifier are necessary for…
Read more


February 23, 2022 0

EEG Bases Emotion Detection Using Deep Learning Algorithm

The use of physiological markers to identify human emotion states is a rapidly emerging area of research in human-computer interaction. Gaming Disorder has become a major topic of concern in recent years, piqueing the curiosity of experts who want to learn more about it. The goal of this study is to use electroencephalography to detect…
Read more


October 9, 2021 0

Anomaly Detection of Outlier Features from Spatio-temporal Databases of Landsat-8 Sensor, using Cloud Computing Platform

There has recently been a surge in the number of research articles published in peer-reviewed journals about machine learning and specialized algorithms for feature identification, feature selection, and feature extraction studies. This article distinguishes proof-of-concept applications from domains such as computer vision, remote sensing, image processing, and geospatial database technology. Using satellite imagery from the…
Read more


July 10, 2021 0

Hierarchical Scale-space Representational Measure for Estimating Land Cover

Shape-filling curves such as planar lines and rectilinear segments are the Minimum Mapping Unit (MMU) for an object-oriented image analysis operation. When the scale is changed, the space-filling curves do not change the feature object representation, thus representing spatial and aspatial features with finer or coarser granularity. The increased collinearity can be explained by the…
Read more


July 10, 2021 0

Classification of High-resolution Images with Local Binary Pattern and Convolutional Neural Network: An Advanced Study

It is very important to accurately classify high-resolution satellite images and to classify each section of the image separately. Complex patterns, on the other hand, are difficult to identify. To address this issue, the deep learning method is being used. The deep learning method’s goal is to extract a large number of features without requiring…
Read more


July 8, 2021 0

Assessment of Sign Using Facial Expression and Hand-gesture Recognition

This paper focuses on a review of recent work on facial expression and hand gesture recognitions. Facial expressions and hand gestures are used to express emotions without oral communication. Research has been conducted on human–machine interactions (HMIs), and the expectation is that systems based on such HMI algorithms should respond similarly. Furthermore, when a person…
Read more


September 19, 2020 0

Extraction of Wavelet Features for the Classification of Sleep Stages Using Single Channel EEG

Sleep is just as important as diet and exercise. Humans spend about one third of their lives asleep. Sleep tests involves processing and analysis of many signals combination called as Polysomnographic signal (PSG). In the large data sets like Sleep Electroencephalogram (Sleep EEG), to do analysis it becomes tedious and time taken. Instead of considering…
Read more


September 4, 2020 0

Scientific Approach of Real Time Fake Currency Note Detection Using Deep Learning

Great technological advancement in printing and scanning industry made counterfeiting problem to grow more vigorously. As a result, counterfeit currency affects the economy and reduces the value of original money. Thus it is most needed to detect the fake currency. Most of the former methods are based on hardware and image processing techniques. Finding counterfeit…
Read more


September 3, 2020 0

Analysis of Different Filtering Methods for Preprocessing and GLCM Feature Extraction Using Wavelet in Mammogram Images

Breast cancer is a stand-out surrounded by the most widely perceived diseases and has a high rate of mortality around the world, significantly risking the health of the females. Among existing all modalities of medical scans, mammography is the most preferred modality for preliminary examination of breast cancer. To assist radiologists, a computer-aided diagnosis (CAD)…
Read more


June 12, 2020 0