Knn Classifier And K Means Clustering For Robust Classification Of Epilepsy From Eeg Signals A Detailed Analysis PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Knn Classifier And K Means Clustering For Robust Classification Of Epilepsy From Eeg Signals A Detailed Analysis PDF full book. Access full book title Knn Classifier And K Means Clustering For Robust Classification Of Epilepsy From Eeg Signals A Detailed Analysis.

KNN Classifier and K-Means Clustering for Robust Classification of Epilepsy from EEG Signals. A Detailed Analysis

KNN Classifier and K-Means Clustering for Robust Classification of Epilepsy from EEG Signals. A Detailed Analysis
Author: Harikumar Rajaguru
Publisher: Anchor Academic Publishing
Total Pages: 57
Release: 2017-05
Genre: Computers
ISBN: 3960671407
GET BOOK

Download KNN Classifier and K-Means Clustering for Robust Classification of Epilepsy from EEG Signals. A Detailed Analysis Book in PDF, ePub and Kindle

Epilepsy is a chronic disorder, the hallmark of which is recurrent, unprovoked seizures. Many people with epilepsy have more than one type of seizures and may have other symptoms of neurological problems as well. Epilepsy is caused due to sudden recurrent firing of the neurons in the brain. The symptoms are convulsions, dizziness and confusion. One out of every hundred persons experiences a seizure at some time in their lives. It may be confused with other events like strokes or migraines. Unfortunately, the occurrence of an epileptic seizure seems unpredictable and its process still is hardly understood. In India, the number of persons suffering from epilepsy is increasing every year. The complexity involved in the diagnosis and therapy has to be cost effective. In this project, the authors applied an algorithm which is used for a classification of the risk level of epilepsy in epileptic patients from Electroencephalogram (EEG) signals. Dimensionality reduction is done on the EEG dataset by applying Power Spectral density. The KNN Classifier and K-Means clustering is implemented on these spectral values to epilepsy risk level detection. The Performance Index (PI) and Quality Value (QV) are calculated for the above methods. A group of twenty patients with known epilepsy findings are used in this study.

KNN Classifier and K-Means Clustering for Robust Classification of Epilepsy from EEG Signals. A Detailed Analysis

KNN Classifier and K-Means Clustering for Robust Classification of Epilepsy from EEG Signals. A Detailed Analysis
Author: Harikumar Rajaguru
Publisher: diplom.de
Total Pages: 53
Release: 2017-03-23
Genre: Medical
ISBN: 3960676409
GET BOOK

Download KNN Classifier and K-Means Clustering for Robust Classification of Epilepsy from EEG Signals. A Detailed Analysis Book in PDF, ePub and Kindle

Epilepsy is a chronic disorder, the hallmark of which is recurrent, unprovoked seizures. Many people with epilepsy have more than one type of seizures and may have other symptoms of neurological problems as well. Epilepsy is caused due to sudden recurrent firing of the neurons in the brain. The symptoms are convulsions, dizziness and confusion. One out of every hundred persons experiences a seizure at some time in their lives. It may be confused with other events like strokes or migraines. Unfortunately, the occurrence of an epileptic seizure seems unpredictable and its process still is hardly understood. In India, the number of persons suffering from epilepsy is increasing every year. The complexity involved in the diagnosis and therapy has to be cost effective. In this project, the authors applied an algorithm which is used for a classification of the risk level of epilepsy in epileptic patients from Electroencephalogram (EEG) signals. Dimensionality reduction is done on the EEG dataset by applying Power Spectral density. The KNN Classifier and K-Means clustering is implemented on these spectral values to epilepsy risk level detection. The Performance Index (PI) and Quality Value (QV) are calculated for the above methods. A group of twenty patients with known epilepsy findings are used in this study.

Computational Vision and Bio-Inspired Computing

Computational Vision and Bio-Inspired Computing
Author: S. Smys
Publisher: Springer Nature
Total Pages: 1435
Release: 2020-01-06
Genre: Technology & Engineering
ISBN: 3030372189
GET BOOK

Download Computational Vision and Bio-Inspired Computing Book in PDF, ePub and Kindle

This proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. Due to the rapid advances in the emerging information, communication and computing technologies, the Internet of Things, cloud and edge computing, and artificial intelligence play a significant role in the computational vision context. In recent years, computational vision has contributed to enhancing the methods of controlling the operations in biological systems, like ant colony optimization, neural networks, and immune systems. Moreover, the ability of computational vision to process a large number of data streams by implementing new computing paradigms has been demonstrated in numerous studies incorporating computational techniques in the emerging bio-inspired models. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization, and big data modeling and management, that make use of effectual computing processes in the bio-inspired systems. As such it contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human–computer interaction, image processing, sensor-based single processing, recommender systems, and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.

Intelligent Data Mining and Analysis in Power and Energy Systems

Intelligent Data Mining and Analysis in Power and Energy Systems
Author: Zita A. Vale
Publisher: John Wiley & Sons
Total Pages: 500
Release: 2022-12-13
Genre: Technology & Engineering
ISBN: 1119834023
GET BOOK

Download Intelligent Data Mining and Analysis in Power and Energy Systems Book in PDF, ePub and Kindle

Intelligent Data Mining and Analysis in Power and Energy Systems A hands-on and current review of data mining and analysis and their applications to power and energy systems In Intelligent Data Mining and Analysis in Power and Energy Systems: Models and Applications for Smarter Efficient Power Systems, the editors assemble a team of distinguished engineers to deliver a practical and incisive review of cutting-edge information on data mining and intelligent data analysis models as they relate to power and energy systems. You’ll find accessible descriptions of state-of-the-art advances in intelligent data mining and analysis and see how they drive innovation and evolution in the development of new technologies. The book combines perspectives from authors distributed around the world with expertise gained in academia and industry. It facilitates review work and identification of critical points in the research and offers insightful commentary on likely future developments in the field. It also provides: A thorough introduction to data mining and analysis, including the foundations of data preparation and a review of various analysis models and methods In-depth explorations of clustering, classification, and forecasting Intensive discussions of machine learning applications in power and energy systems Perfect for power and energy systems designers, planners, operators, and consultants, Intelligent Data Mining and Analysis in Power and Energy Systems will also earn a place in the libraries of software developers, researchers, and students with an interest in data mining and analysis problems.

Machine Learning and IoT

Machine Learning and IoT
Author: Shampa Sen
Publisher: CRC Press
Total Pages: 372
Release: 2018-07-04
Genre: Computers
ISBN: 1351029924
GET BOOK

Download Machine Learning and IoT Book in PDF, ePub and Kindle

This book discusses some of the innumerable ways in which computational methods can be used to facilitate research in biology and medicine - from storing enormous amounts of biological data to solving complex biological problems and enhancing treatment of various grave diseases.

International Conference on Innovative Computing and Communications

International Conference on Innovative Computing and Communications
Author: Ashish Khanna
Publisher: Springer Nature
Total Pages: 902
Release: 2020-02-28
Genre: Technology & Engineering
ISBN: 9811512868
GET BOOK

Download International Conference on Innovative Computing and Communications Book in PDF, ePub and Kindle

This book includes high-quality research papers presented at the Second International Conference on Innovative Computing and Communication (ICICC 2019), which is held at the VŠB - Technical University of Ostrava, Czech Republic, on 21–22 March 2019. Introducing the innovative works of scientists, professors, research scholars, students, and industrial experts in the fields of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.

Sustainable Science and Intelligent Technologies for Societal Development

Sustainable Science and Intelligent Technologies for Societal Development
Author: Mishra, Brojo Kishore
Publisher: IGI Global
Total Pages: 602
Release: 2023-09-18
Genre: Technology & Engineering
ISBN:
GET BOOK

Download Sustainable Science and Intelligent Technologies for Societal Development Book in PDF, ePub and Kindle

In today's world, the pressing challenges of sustainable development and societal progress demand innovative solutions that harness the power of science and technology. From climate change to resource depletion and social inequalities, the urgency to find sustainable, intelligent, and ethical approaches has never been greater. Academic scholars and researchers play a crucial role in driving these advancements but often struggle to find comprehensive resources that bridge the gap between theory and real-world applications. The need of the hour is a definitive guide that unites expertise from diverse disciplines and offers practical insights into leveraging sustainable science and intelligent technologies to create meaningful societal development. Sustainable Science and Intelligent Technologies for Societal Development, edited by Brojo Kishore Mishra of GIET University, India, is the much-awaited solution to the challenges faced by academic scholars and researchers. This persuasive book brings together an esteemed collection of leading experts, academics, and industry professionals, all dedicated to addressing global challenges through the lens of applied sciences and intelligent technology applications. By presenting a wide range of innovative topics, such as renewable energy, smart healthcare, sustainable finance, and more, the book serves as a comprehensive resource that empowers scholars with actionable knowledge and innovative ideas. The book not only covers the theoretical aspects but also delves into the ethical considerations essential in shaping the future. In a world increasingly dependent on technology, it is vital to ensure that societal development aligns with principles of inclusivity, fairness, and environmental responsibility. With a focus on the United Nations Sustainable Development Goals (SDGs), the book provides a clear roadmap for scholars to contribute meaningfully to global progress. By offering concrete examples and real-world case studies, the book enables researchers to grasp the potential impact of their work, fostering collaborations that transcend traditional disciplinary boundaries. Sustainable Science and Intelligent Technologies for Societal Development is the go-to resource for academic scholars, scientists, researchers, innovators, industry professionals, and students who seek to be effective in the world. As a comprehensive guide that blends sustainable science and intelligent technologies with ethical considerations, this book equips its readers to create tangible solutions that address pressing global challenges. Through collective knowledge and interdisciplinary collaboration, this book stands as a beacon of hope and inspiration for driving meaningful societal development, paving the way for a more sustainable and prosperous future.

Intelligence Science and Big Data Engineering. Big Data and Machine Learning

Intelligence Science and Big Data Engineering. Big Data and Machine Learning
Author: Zhen Cui
Publisher: Springer Nature
Total Pages: 455
Release: 2019-11-28
Genre: Computers
ISBN: 3030362043
GET BOOK

Download Intelligence Science and Big Data Engineering. Big Data and Machine Learning Book in PDF, ePub and Kindle

The two volumes LNCS 11935 and 11936 constitute the proceedings of the 9th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2019, held in Nanjing, China, in October 2019. The 84 full papers presented were carefully reviewed and selected from 252 submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics including information theoretic and Bayesian approaches, probabilistic graphical models, big data analysis, neural networks and neuro-informatics, bioinformatics, computational biology and brain-computer interfaces, as well as advances in fundamental pattern recognition techniques relevant to image processing, computer vision and machine learning.

Comprehensive Analysis of Extreme Learning Machine and Continuous Genetic Algorithm for Robust Classification of Epilepsy from EEG Signals

Comprehensive Analysis of Extreme Learning Machine and Continuous Genetic Algorithm for Robust Classification of Epilepsy from EEG Signals
Author: Harikumar Rajaguru
Publisher: Anchor Academic Publishing
Total Pages: 37
Release: 2017
Genre: Computers
ISBN: 3960670990
GET BOOK

Download Comprehensive Analysis of Extreme Learning Machine and Continuous Genetic Algorithm for Robust Classification of Epilepsy from EEG Signals Book in PDF, ePub and Kindle

Epilepsy is a common and diverse set of chronic neurological disorders characterized by seizures. It is a paroxysmal behavioral spell generally caused by an excessive disorderly discharge of cortical nerve cells of the brain. Epilepsy is marked by the term “epileptic seizures”. Epileptic seizures result from abnormal, excessive or hyper-synchronous neuronal activity in the brain. About 50 million people worldwide have epilepsy, and nearly 80% of epilepsy occurs in developing countries. The most common way to interfere with epilepsy is to analyse the EEG (electroencephalogram) signal which is a non-invasive, multi channel recording of the brain’s electrical activity. It is also essential to classify the risk levels of epilepsy so that the diagnosis can be made easier. This study investigates the possibility of Extreme Learning Machine (ELM) and Continuous GA as a post classifier for detecting and classifying epilepsy of various risk levels from the EEG signals. Singular Value Decomposition (SVD), Principal Component Analysis (PCA) and Independent Component Analysis (ICA) are used for dimensionality reduction.