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Author: S. Kannadhasan, R. Nagarajan, N. Shanmugasundaram, Jyotir Moy Chatterjee, P. Ashok
Publisher: Bentham Science Publishers
ISBN: 9815179527
Category : Technology & Engineering
Languages : en
Pages : 234
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Book Description
This volume explores a diverse range of applications for automated machine learning and predictive analytics. The content provides use cases for machine learning in different industries such as healthcare, agriculture, cybersecurity, computing and transportation. Chapter 1 introduces an innovative device for automatically notifying and analyzing the impact of automobile accidents. Chapter 2 focuses on the detection of malaria using systematized image processing techniques. In Chapter 3, an intelligent technique based on LMEPOP and fuzzy logic for the segmentation of defocus blur is discussed. Predictive analytics is introduced in Chapter 4, providing an overview of this emerging field. Chapter 5 delves into discrete event system simulation, offering insights into its applications. The performance analysis of different hypervisors in OS virtualization is explored in Chapter 6. Load balancing in cloud computing is the subject of investigation in Chapter 7. Chapter 8 presents a survey on a facial and fingerprint-based voting system utilizing deep learning techniques. Chapter 9 explores IoT-based automated decision-making with data analytics in agriculture. Biometric recognition through modality fusion is investigated in Chapter 10. Chapter 11 offers a new perspective on evaluating machine learning algorithms for predicting employee performance. Pre-process methods for cardiovascular diseases diagnosis using CT angiography images are discussed in Chapter 12. Chapter 13 presents the implementation of a smart wheelchair using ultrasonic sensors and LabVIEW. Cryptography using the Internet of Things is the focus of Chapter 14. Chapter 15 explores machine learning applications for traffic sign recognition, and the book concludes with Chapter 16, which analyzes machine learning algorithms in healthcare. The book is a resource for academics, researchers, educators and professionals in the technology sector who want to learn about current trends in intelligent technologies.
Author: S. Kannadhasan, R. Nagarajan, N. Shanmugasundaram, Jyotir Moy Chatterjee, P. Ashok
Publisher: Bentham Science Publishers
ISBN: 9815179527
Category : Technology & Engineering
Languages : en
Pages : 234
Get Book Here
Book Description
This volume explores a diverse range of applications for automated machine learning and predictive analytics. The content provides use cases for machine learning in different industries such as healthcare, agriculture, cybersecurity, computing and transportation. Chapter 1 introduces an innovative device for automatically notifying and analyzing the impact of automobile accidents. Chapter 2 focuses on the detection of malaria using systematized image processing techniques. In Chapter 3, an intelligent technique based on LMEPOP and fuzzy logic for the segmentation of defocus blur is discussed. Predictive analytics is introduced in Chapter 4, providing an overview of this emerging field. Chapter 5 delves into discrete event system simulation, offering insights into its applications. The performance analysis of different hypervisors in OS virtualization is explored in Chapter 6. Load balancing in cloud computing is the subject of investigation in Chapter 7. Chapter 8 presents a survey on a facial and fingerprint-based voting system utilizing deep learning techniques. Chapter 9 explores IoT-based automated decision-making with data analytics in agriculture. Biometric recognition through modality fusion is investigated in Chapter 10. Chapter 11 offers a new perspective on evaluating machine learning algorithms for predicting employee performance. Pre-process methods for cardiovascular diseases diagnosis using CT angiography images are discussed in Chapter 12. Chapter 13 presents the implementation of a smart wheelchair using ultrasonic sensors and LabVIEW. Cryptography using the Internet of Things is the focus of Chapter 14. Chapter 15 explores machine learning applications for traffic sign recognition, and the book concludes with Chapter 16, which analyzes machine learning algorithms in healthcare. The book is a resource for academics, researchers, educators and professionals in the technology sector who want to learn about current trends in intelligent technologies.
Author: Junzo Watada
Publisher: Springer Science & Business Media
ISBN: 3642221947
Category : Technology & Engineering
Languages : en
Pages : 903
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Book Description
Intelligent Decision Technologies (IDT) seeks an interchange of research on intelligent systems and intelligent technologies which enhance or improve decision making in industry, government and academia. The focus is interdisciplinary in nature, and includes research on all aspects of intelligent decision technologies, from fundamental development to the applied system. This volume represents leading research from the Third KES International Symposium on Intelligent Decision Technologies (KES IDT’11), hosted and organized by the University of Piraeus, Greece, in conjunction with KES International. The symposium was concerned with theory, design, development, implementation, testing and evaluation of intelligent decision systems. Topics include decision making theory, intelligent agents, fuzzy logic, multi-agent systems, Bayesian networks, optimization, artificial neural networks, genetic algorithms, expert systems, decision support systems, geographic information systems, case-based reasoning, time series, knowledge management systems, rough sets, spatial decision analysis, and multi-criteria decision analysis. These technologies have the potential to revolutionize decision making in many areas of management, healthcare, international business, finance, accounting, marketing, military applications, ecommerce, network management, crisis response, building design, information retrieval, and disaster recovery for a better future. The symposium was concerned with theory, design, development, implementation, testing and evaluation of intelligent decision systems. Topics include decision making theory, intelligent agents, fuzzy logic, multi-agent systems, Bayesian networks, optimization, artificial neural networks, genetic algorithms, expert systems, decision support systems, geographic information systems, case-based reasoning, time series, knowledge management systems, rough sets, spatial decision analysis, and multi-criteria decision analysis. These technologies have the potential to revolutionize decision making in many areas of management, healthcare, international business, finance, accounting, marketing, military applications, ecommerce, network management, crisis response, building design, information retrieval, and disaster recovery for a better future.
Author: Pradeep Kumar Mallick
Publisher: Springer Nature
ISBN: 9811694885
Category : Technology & Engineering
Languages : en
Pages : 776
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Book Description
This book is a compilation of contributed research work from International Conference on Electronic Systems and Intelligent Computing (ESIC 2021) and covers the areas of electronics, communication, electrical and computing. This book is specifically targeted to the students, research scholars and academician from the background of electronics, communication, electrical and computer science. Advances in electronics, communication, electrical and computing cover the different approaches and techniques for specific applications using particle swarm optimization, Otsu’s function and harmony search optimization algorithm, DNA-NAND gate, triple gate SOI MOSFET, micro-Raman and FTIR analysis, high-k dielectric gate oxide, spectrum sensing in cognitive radio, microstrip antenna, GPR with conducting surfaces, energy-efficient packet routing, iBGP route reflectors, circularly polarized antenna, double fork-shaped patch radiator, implementation of Doppler radar at 24 GHz, iris image classification using SVM, digital image forgery detection, secure communication, spoken dialog system and DFT-DCT spreading strategies.
Author: Tim Dixon
Publisher: Routledge
ISBN: 131791192X
Category : Architecture
Languages : en
Pages : 350
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Book Description
With a foreword from Paul King, Chief Executive, UK Green Building Council and Chairman, Zero Carbon Hub As concerns over climate change and resource constraints grow, many cities across the world are trying to achieve a low carbon transition. Although new zero carbon buildings are an important part of the story, in existing cities the transformation of the current building stock and urban infrastructure must inevitably form the main focus for transitioning to a low carbon and sustainable future by 2050. Urban Retrofitting for Sustainability brings together interdisciplinary research contributions from leading international experts to focus on key issues such as systems innovation, financing tools, governance, energy, and water management. The chapters consider not only the knowledge and technical tools available, but looks forward to how they can be implemented in real cities by 2050.
Author: Tanay Sıdkı Uyar
Publisher: Springer Nature
ISBN: 3030407381
Category : Technology & Engineering
Languages : en
Pages : 578
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Book Description
This book discusses renewable energy systems and applications, and demonstrates how an accelerated transition to 100% renewable energy can be achieved. It examines the systems from a thermodynamic perspective, focusing on the irreversible aspects of the current energy system and highlighting the solutions developed to date. Presenting global research and developments, this book is intended for those working within the field of renewable energy research and policy who are interested in learning how they can contribute to the transition from fossil fuels to renewable resources.
Author: Heinz D. Kurz
Publisher: Routledge
ISBN: 1000471403
Category : Business & Economics
Languages : en
Pages : 712
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Book Description
This Handbook provides a thorough discussion of the most recent wave of technological (and organisational) innovations, frequently called “smart” and based on the digitisation of information. The acronym stands for "Self-Monitoring, Analysis and Reporting Technology". This new wave is one in a row of waves that have shaken up and transformed the economy, society and culture since the first Industrial Revolution and have left a huge impact on how we live, think, communicate and work: they have deeply affected the socioeconomic metabolism from within and humankind’s footprint on our planet. The Handbook analyses the origins of the current wave, its roots in earlier ones and its path-dependent nature; its current forms and actual manifestations; its multifarious impact on economy and society; and it puts forward some guesstimates regarding the probable directions of its further development. In short, the Handbook studies the past, the present and the future of smart technologies and digitalisation. This cutting-edge reference will appeal to a broad audience, including but not limited to, researchers from various disciplines with a focus on technological innovation and their impact on the socioeconomic system; students across different fields but especially from economics, social sciences and law studying questions related to radical technological change and its consequences, as well as professionals around the globe interested in the debate of smart technologies and socioeconomic transformation, from a multi- and interdisciplinary perspective.
Author: Fatos Xhafa
Publisher: Academic Press
ISBN: 0128098651
Category : Computers
Languages : en
Pages : 396
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Book Description
Smart Sensors Networks: Communication Technologies and Intelligent Applications explores the latest sensor and sensor networks techniques and applications, showing how networked wireless sensors are used to monitor and gather intelligence from our surrounding environment. It provides a systematic look at the unique characteristics of wireless sensor networks through their usage in a broad range of areas, including healthcare for the elderly, energy consumption, industrial automation, intelligent transportation systems, smart homes and cities, and more. The book shows how sensor-networks work and how they are applied to monitor our surrounding environment. It explores the most important aspects of modern sensors technologies, providing insights on the newest technologies and the systems needed to operate them. Readers will find the book to be an entry point for understanding the fundamental differences between the various sensor technologies and their use in for different scenarios. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS - Presents numerous specific use-cases throughout, showing practical applications of concepts - Contains contributions from leading experts around the globe - Collects, in one place, the latest thinking on an emerging topic - Addresses the security and privacy issues inherent in sensor deployment
Author: Shashi Kant Gupta
Publisher: CRC Press
ISBN: 104002145X
Category : Computers
Languages : en
Pages : 241
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Book Description
This text presents a comprehensive analysis of mathematical formulations for proving the effectiveness of artificial intelligence in education and investigates the possibilities for integrating advanced artificial intelligence algorithms. The book: presents an empirical analysis of the impact of information technology in the education system discusses student performance in university 4.0 using novel artificial intelligence algorithm with whale optimization elaborates the management of higher education based on information technology in the university 4.0 era explains the implementation of university 4.0 based on artificial intelligence focuses on the transformation of education system using artificial intelligence The text is primarily written for graduate students, postgraduate students, and academic researchers working in the fields of computer science and engineering, information technology and machine learning.
Author: Suman Lata Tripathi
Publisher: CRC Press
ISBN: 1000392457
Category : Technology & Engineering
Languages : en
Pages : 423
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Book Description
Introduction to AI techniques for Renewable Energy System Artificial Intelligence (AI) techniques play an essential role in modeling, analysis, and prediction of the performance and control of renewable energy. The algorithms used to model, control, or predict performances of the energy systems are complicated, involving differential equations, enormous computing power, and time requirements. Instead of complex rules and mathematical routines, AI techniques can learn critical information patterns within a multidimensional information domain. Design, control, and operation of renewable energy systems require a long-term series of meteorological data such as solar radiation, temperature, or wind data. Such long-term measurements are often non-existent for most of the interest locations or, wherever they are available, they suffer from several shortcomings, like inferior quality of data, and in-sufficient long series. The book focuses on AI techniques to overcome these problems. It summarizes commonly used AI methodologies in renewal energy, with a particular emphasis on neural networks, fuzzy logic, and genetic algorithms. It outlines selected AI applications for renewable energy. In particular, it discusses methods using the AI approach for prediction and modeling of solar radiation, seizing, performances, and controls of the solar photovoltaic (PV) systems. Features Focuses on a significant area of concern to develop a foundation for the implementation of renewable energy system with intelligent techniques Showcases how researchers working on renewable energy systems can correlate their work with intelligent and machine learning approaches Highlights international standards for intelligent renewable energy systems design, reliability, and maintenance Provides insights on solar cell, biofuels, wind, and other renewable energy systems design and characterization, including the equipment for smart energy systems This book, which includes real-life examples, is aimed at undergraduate and graduate students and academicians studying AI techniques used in renewal energy systems.
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ISBN:
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Languages : en
Pages : 96
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Book Description
