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Supervised and Unsupervised Data Engineering for Multimedia Data
SUPERVISED and UNSUPERVISED DATA ENGINEERING for MULTIMEDIA DATA Explore the cutting-edge realms of data engineering in multimedia with Supervised and Unsupervised Data Engineering for Multimedia Data, where expert contributors delve into innovative methodologies, offering invaluable insights to empower both novices and seasoned professionals in mastering the art of manipulating multimedia data with precision and efficiency. Supervised and Unsupervised Data Engineering for Multimedia Data presents a groundbreaking exploration into the intricacies of handling multimedia data through the lenses of both supervised and unsupervised data engineering. Authored by a team of accomplished experts in ...
Comprehensive Analysis of Extreme Learning Machine and Continuous Genetic Algorithm for Robust Classification of Epilepsy from EEG Signals
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.
Artificial Intelligence and Natural Algorithms
This book informs the reader about applications of Artificial Intelligence (AI) and nature-inspired algorithms in different situations. Each chapter in this book is written by topic experts on AI, nature-inspired algorithms and data science. The basic concepts relevant to these topics are explained, including evolutionary computing (EC), artificial neural networks (ANN), swarm intelligence (SI), and fuzzy systems (FS). Additionally, the book also covers optimization algorithms for data analysis. The contents include algorithms that can be used in systems designed for plant science research, load balancing, environmental analysis and healthcare. The goal of the book is to equip the reader - students and data analysts - with the information needed to apply basic AI algorithms to resolve actual problems encountered in a professional environment.
Proceedings of the 2011 2nd International Congress on Computer Applications and Computational Science
The latest inventions in computer technology influence most of human daily activities. In the near future, there is tendency that all of aspect of human life will be dependent on computer applications. In manufacturing, robotics and automation have become vital for high quality products. In education, the model of teaching and learning is focusing more on electronic media than traditional ones. Issues related to energy savings and environment is becoming critical. Computational Science should enhance the quality of human life, not only solve their problems. Computational Science should help humans to make wise decisions by presenting choices and their possible consequences. Computational Sci...
Geo-Informatics in Resource Management and Sustainable Ecosystem
This volume constitutes the refereed proceedings of the Third International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystem, GRMSE 2015, held in Wuhan, China, in October 2015. The 101 papers presented were carefully reviewed and selected from 321 submissions. The papers are divided into topical sections on Smart City in Resource Management and Sustainable Ecosystem; Spatial Data Acquisition Through RS and GIS in Resource Management and Sustainable Ecosystem; Ecological and Environmental Data Processing and Management; Advanced Geospatial Model and Analysis for Understanding Ecological and Environmental Process; Applications of Geo-Informatics in Resource Management and Sustainable Ecosystem.
J.J. Pan and Partners
Stressing total quality in all aspects of architectural practice, the J.J. Pan monograph features a rich collection of building types. According to Taiwanese architect, Joshua Jih Pan, such total quality includes at least design, service and delivery whi
Decarbonising the Built Environment
This book focuses on the challenge that Australia faces in transitioning to renewable energy and regenerating its cities via a transformation of its built environment. Both are necessary conditions for low carbon living in the 21st century. This is a global challenge represented by the United Nation’s Sustainable Development Goals and the IPCC’s Climate Change program and its focus on mitigation and adaptation. All nations must make significant contributions to this transformation. This book highlights the new knowledge and innovation that has emerged from research projects undertaken in the Co-operative Research Centre for Low Carbon Living between 2012 and 2019 – an initiative of the Australian Government’s Department of Industry, Science and Technology that is tasked with responding to the UN challenges. Four principal transition pathways were central to the CRC and provide the thematic structure to this volume. They focus on technology, buildings, precinct and city design, and human behaviour – and their interactions.
Insights in Atherosclerosis and Vascular Medicine: 2022
This Research Topic is part of the Insights in Frontiers in Cardiovascular Medicine series. Following the success of the inaugural series, Frontiers has organized a series of Research Topics to highlight the latest advancements in research across the field of cardiovascular medicine, with articles from the members of our accomplished Editorial Boards. This editorial initiative of particular relevance, led by Professor Masanori Aikawa, Specialty Chief Editor of the Atherosclerosis and Vascular Medicine section, is focused on new insights, novel developments, current challenges, latest discoveries, recent advances, and future perspectives in the field of atherosclerosis.
