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Results: 13
Automated Classification of Sleep Stages Using Single-Channel EEG
The main contribution of this paper is to present a novel approach for classifying the sleep stages based on optimal feature selection with ensemble learning stacking model using single-channel EEG signals.To find the suitable...
Published by: IGI Global
Mental Risk Faced During Lockdown in COVID-19
Suchismita Satapathy
Jan 01, 2022
Indian Govt has taken broad step and declared lock down to reduce the community-transmission of the novel “Coronavirus”.Many people tried to utilize this period by doing online work and household work simulateneouly. Many...
Published by: IGI Global
The Pandemic COVID-19 and Its Impact on Indian Agricultural Sectors
The outbreak of COVID-19 has created a major panic among the agricultural sectors as well as the farmers in India owing to its’ transmissions, severity, and a lack of proper treatment methodology. From the cross-sectional study...
Published by: IGI Global
Co-Worker Support and Communities of Practice
Communities of practice foster sharing of knowledge in the organisations. For the creation of such an organisational-level practice community, a motivating environment for the development of such practice communities should be...
Published by: IGI Global
Chaotic Whale Crow Optimization Algorithm for Secure Routing in the IoT Environment
This paper solves the internet of things (IoT) security issues by introducing a chaotic whale crow (CWC) optimization, which is the integration of chaotic whale optimization algorithm (CWOA) in crow search algorithm (CSA). The...
Published by: IGI Global
MCDM Approach for Mitigation of Flooding Risks in Odisha (India) Based on Information Retrieval
Multi-criteria decision-making (MCDM) provides a suitable platform for groups as well as promotion of the participants' role in decision processes. This also enables the development of real participatory processes essential for...
Published by: IGI Global
An Improved Image Compression Model Enabled by Adaptive Active Contour and Supervised Learning-Based ROI Classification
This paper plans to develop a novel image compression model with four major phases. (i) Segmentation (ii) Feature Extraction (iii) ROI classification (iv) Compression. The image is segmented into two regions by Adaptive ACM. The...
Published by: IGI Global
An Adaptive Neural-Fuzzy Inference System for Prediction of Muscle Strength of Farmers in India
In the present study, 13 anthropometric hand dimensions, hand grip strength, push strength, and pull strength of 90 male farmers of Odisha in India were statistically analyzed and then, fuzzy logic toolbox of MATLAB version 2010...
Published by: IGI Global
Prediction of Environmental Pollution Using Hybrid PSO-K-Means Approach
Air pollution is increasing day by day, decreasing the world economy, degrading the quality of life, and resulting in a major productivity loss. At present, this is one of the most critical problems. It has a significant impact...
Published by: IGI Global
A Grey-TOPSIS Approach to Minimize COVID-19 Transmission for the Betterment of Public-Health in the Indian Context
In view of diminishing the transmission of the pandemic “Coronavirus (COVID-19)” in the community, an essential intervention strategy has been the consideration of public-health measures. However, at the present scenario these...
Published by: IGI Global
Simulated Workbench Design for Characterisation and Selection of Appropriate Outlier Ensemble Algorithm
Outlier ensembles can enhance the performance of outlier detection algorithms. However, identification of an appropriate outlier ensemble algorithm for the given application is a difficult task. In order to achieve this...
Published by: IGI Global
COVID-19 Vaccine Ranking Using ANP Method
Wuhan Province in China reported the first case of novel corona virus as pneumonia outbreak during December 2019. The novel coronavirus was soon declared a pandemic by the World Health Organization. On 16th of July 2021, the...
Published by: IGI Global
Identification of Reasons Behind Infant Crying Using Acoustic Signal Processing and Deep Neural Network for Neonatal Intensive Care Unit
Abstract. The infants admitted in the Neonatal Intensive Care Unit (NICU) always need a Hygienic environment and round the clock observations. Infants or the just born babies always express their physical and emotional needs...
Published by: IGI Global