Computational Intelligence For Multimedia Big Data On The Cloud With Engineering Applications

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Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications
  • Author : Arun Kumar Sangaiah,Zhiyong Zhang,Michael Sheng
  • Publisher : Academic Press
  • Release Date : 2018-08-21
  • Total pages : 362
  • ISBN : 9780128133279
  • File Size : 43,7 Mb
  • Total Download : 967
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Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications covers timely topics, including the neural network (NN), particle swarm optimization (PSO), evolutionary algorithm (GA), fuzzy sets (FS) and rough sets (RS), etc. Furthermore, the book highlights recent research on representative techniques to elaborate how a data-centric system formed a powerful platform for the processing of cloud hosted multimedia big data and how it could be analyzed, processed and characterized by CI. The book also provides a view on how techniques in CI can offer solutions in modeling, relationship pattern recognition, clustering and other problems in bioengineering. It is written for domain experts and developers who want to understand and explore the application of computational intelligence aspects (opportunities and challenges) for design and development of a data-centric system in the context of multimedia cloud, big data era and its related applications, such as smarter healthcare, homeland security, traffic control trading analysis and telecom, etc. Researchers and PhD students exploring the significance of data centric systems in the next paradigm of computing will find this book extremely useful. Presents a brief overview of computational intelligence paradigms and its significant role in application domains Illustrates the state-of-the-art and recent developments in the new theories and applications of CI approaches Familiarizes the reader with computational intelligence concepts and technologies that are successfully used in the implementation of cloud-centric multimedia services in massive data processing Provides new advances in the fields of CI for bio-engineering application

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications
  • Author : Arun Kumar Sangaiah,Zhiyong Zhang,Michael Sheng
  • Publisher : Academic Press
  • Release Date : 2018-08
  • Total pages : 420
  • ISBN : 0128133147
  • File Size : 11,7 Mb
  • Total Download : 173
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Download Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications in PDF, Epub, and Kindle

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications covers timely topics, including the neural network (NN), particle swarm optimization (PSO), evolutionary algorithm (GA), fuzzy sets (FS) and rough sets (RS), etc. Furthermore, the book highlights recent research on representative techniques to elaborate how a data-centric system formed a powerful platform for the processing of cloud hosted multimedia big data and how it could be analyzed, processed and characterized by CI. The book also provides a view on how techniques in CI can offer solutions in modeling, relationship pattern recognition, clustering and other problems in bioengineering. It is written for domain experts and developers who want to understand and explore the application of computational intelligence aspects (opportunities and challenges) for design and development of a data-centric system in the context of multimedia cloud, big data era and its related applications, such as smarter healthcare, homeland security, traffic control trading analysis and telecom, etc. Researchers and PhD students exploring the significance of data centric systems in the next paradigm of computing will find this book extremely useful. Presents a brief overview of computational intelligence paradigms and its significant role in application domains Illustrates the state-of-the-art and recent developments in the new theories and applications of CI approaches Familiarizes the reader with computational intelligence concepts and technologies that are successfully used in the implementation of cloud-centric multimedia services in massive data processing Provides new advances in the fields of CI for bio-engineering application

AI Applications for Disease Diagnosis and Treatment

AI Applications for Disease Diagnosis and Treatment
  • Author : El Ouazzani, Rajae,Fattah, Mohammed,Benamar, Nabil
  • Publisher : IGI Global
  • Release Date : 2022-06-10
  • Total pages : 332
  • ISBN : 9781668423066
  • File Size : 31,6 Mb
  • Total Download : 910
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Download AI Applications for Disease Diagnosis and Treatment in PDF, Epub, and Kindle

Artificial intelligence (AI) technology has been very successful across fields such as healthcare, security, precision agriculture, smart city, and autonomous driving and promises numerous benefits for social development, economic growth, wellbeing management, and human healthcare. Various intelligent healthcare applications have been created in order to assist patient healthcare and must be studied further. AI Applications for Disease Diagnosis and Treatment provides the current advances and applications of artificial intelligence applications in healthcare such as disease diagnosis, diet proposal, drug prescription and tracking, and physical and psychological assistance. Covering topics such as assistive healthcare, robotics, and machine learning, it is ideal for healthcare professionals, researchers, data analysts, academicians, practitioners, scholars, instructors, and students.

Evolutionary Data Clustering: Algorithms and Applications

Evolutionary Data Clustering: Algorithms and Applications
  • Author : Ibrahim Aljarah,Hossam Faris,Seyedali Mirjalili
  • Publisher : Springer Nature
  • Release Date : 2021-02-20
  • Total pages : 248
  • ISBN : 9789813341913
  • File Size : 49,8 Mb
  • Total Download : 361
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Download Evolutionary Data Clustering: Algorithms and Applications in PDF, Epub, and Kindle

This book provides an in-depth analysis of the current evolutionary clustering techniques. It discusses the most highly regarded methods for data clustering. The book provides literature reviews about single objective and multi-objective evolutionary clustering algorithms. In addition, the book provides a comprehensive review of the fitness functions and evaluation measures that are used in most of evolutionary clustering algorithms. Furthermore, it provides a conceptual analysis including definition, validation and quality measures, applications, and implementations for data clustering using classical and modern nature-inspired techniques. It features a range of proven and recent nature-inspired algorithms used to data clustering, including particle swarm optimization, ant colony optimization, grey wolf optimizer, salp swarm algorithm, multi-verse optimizer, Harris hawks optimization, beta-hill climbing optimization. The book also covers applications of evolutionary data clustering in diverse fields such as image segmentation, medical applications, and pavement infrastructure asset management.

Handbook of HydroInformatics

Handbook of HydroInformatics
  • Author : Saeid Eslamian,Faezeh Eslamian
  • Publisher : Elsevier
  • Release Date : 2022-12-06
  • Total pages : 420
  • ISBN : 9780128219508
  • File Size : 46,9 Mb
  • Total Download : 722
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Download Handbook of HydroInformatics in PDF, Epub, and Kindle

Advanced Machine Learning Techniques includes the theoretical foundations of modern machine learning, as well as advanced methods and frameworks used in modern machine learning. Handbook of HydroInformatics, Volume II: Advanced Machine Learning Techniques presents both the art of designing good learning algorithms, as well as the science of analyzing an algorithm's computational and statistical properties and performance guarantees. The global contributors cover theoretical foundational topics such as computational and statistical convergence rates, minimax estimation, and concentration of measure as well as advanced machine learning methods, such as nonparametric density estimation, nonparametric regression, and Bayesian estimation; additionally, advanced frameworks such as privacy, causality, and stochastic learning algorithms are also included. Lastly, the volume presents Cloud and Cluster Computing, Data Fusion Techniques, Empirical Orthogonal Functions and Teleconnection, Internet of Things, Kernel-Based Modeling, Large Eddy Simulation, Patter Recognition, Uncertainty-Based Resiliency Evaluation, and Volume-Based Inverse Mode. This is an interdisciplinary book, and the audience includes postgraduates and early-career researchers interested in: Computer Science, Mathematical Science, Applied Science, Earth and Geoscience, Geography, Civil Engineering, Engineering, Water Science, Atmospheric Science, Social Science, Environment Science, Natural Resources, Chemical Engineering. Key insights from 24 contributors in the fields of data management research, climate change and resilience, insufficient data problem, etc. Offers applied examples and case studies in each chapter, providing the reader with real world scenarios for comparison. Defines both the designing of good learning algorithms, as well as the science of analyzing an algorithm's computational and statistical properties and performance guarantees.

Intelligent Systems and Computer Technology

Intelligent Systems and Computer Technology
  • Author : D.J. Hemanth,V.D.A. Kumar,S. Malathi
  • Publisher : IOS Press
  • Release Date : 2020-12-15
  • Total pages : 672
  • ISBN : 9781643681030
  • File Size : 17,9 Mb
  • Total Download : 668
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Recent developments in soft-computation techniques have paved the way for handling huge volumes of data, thereby bringing about significant changes and technological advancements. This book presents the proceedings of the 3rd International Conference on Emerging Current Trends in Computing & Expert Technology (COMET 2020), held at Panimalar Engineering College, Chennai, India on 6 and 7 March 2020. The aim of the book is to disseminate cutting-edge developments taking place in the technological fields of intelligent systems and computer technology, thereby assisting researchers and practitioners from both institutions and industry to upgrade their knowledge of the latest developments and emerging areas of study. It focuses on technological innovations and trendsetting initiatives to improve business values, optimize business processes and enable inclusive growth for corporates, industries and education alike. The book is divided into two sections; ‘Next Generation Soft Computing’ is a platform for scientists, researchers, practitioners and academics to present and discuss their most recent innovations, trends and concerns, as well as the practical challenges encountered in the field. The second section, ‘Evolutionary Networking and Communications’ focuses on various aspects of 5G communications systems and networking, including cloud and virtualization solutions, management technologies, and vertical application areas. It brings together the latest technologies from all over the world, and also provides an excellent international forum for the sharing of knowledge and results from theory, methodology and applications in networking and communications. The book will be of interest to all those working in the fields of intelligent systems and computer technology.

Design Tools and Methods in Industrial Engineering II

Design Tools and Methods in Industrial Engineering II
  • Author : Caterina Rizzi,Francesca Campana,Michele Bici,Francesco Gherardini,Tommaso Ingrassia,Paolo Cicconi
  • Publisher : Springer Nature
  • Release Date : 2021-12-01
  • Total pages : 966
  • ISBN : 9783030912345
  • File Size : 34,7 Mb
  • Total Download : 269
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This book gathers original papers reporting on innovative methods and tools in design, modelling, simulation and optimization, and their applications in engineering design, manufacturing and other relevant industrial sectors. Topics span from advances in geometric modelling, applications of virtual reality, innovative strategies for product development and additive manufacturing, human factors and user-centered design, engineering design education and applications of engineering design methods in medical rehabilitation and cultural heritage. Chapters are based on contributions to the Second International Conference on Design Tools and Methods in Industrial Engineering, ADM 2021, held on September 9–10, 2021, in Rome, Italy, and organized by the Italian Association of Design Methods and Tools for Industrial Engineering, and Dipartimento di Ingegneria Meccanica e Aerospaziale of Sapienza Università di Roma, Italy. All in all, this book provides academics and professionals with a timely overview and extensive information on trends and technologies in industrial design and manufacturing.

Power System Fault Diagnosis

Power System Fault Diagnosis
  • Author : Md Shafiullah,M. A. Abido,A. H. Al-Mohammed
  • Publisher : Elsevier
  • Release Date : 2022-01-17
  • Total pages : 428
  • ISBN : 9780323884303
  • File Size : 33,7 Mb
  • Total Download : 397
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Power System Fault Diagnosis: A Wide Area Measurement Based Intelligent Approach is a comprehensive overview of the growing interests in efficient diagnosis of power system faults to reduce outage duration and revenue losses by expediting the restoration process. This book illustrates intelligent fault diagnosis schemes for power system networks, at both transmission and distribution levels, using data acquired from phasor measurement units. It presents the power grid modeling, fault modeling, feature extraction processes, and various fault diagnosis techniques, including artificial intelligence techniques, in steps. The book also incorporates uncertainty associated with line parameters, fault information (resistance and inception angle), load demand, renewable energy generation, and measurement noises. Provides step-by-step modeling of power system networks (distribution and transmission) and faults in MATLAB/SIMULINK and real-time digital simulator (RTDS) platforms Presents feature extraction processes using advanced signal processing techniques (discrete wavelet and Stockwell transforms) and an easy-to-understand optimal feature selection method Illustrates comprehensive results in the graphical and tabular formats that can be easily reproduced by beginners Highlights various utility practices for fault location in transmission networks, distribution systems, and underground cables.

Comprehensive Chemometrics

Comprehensive Chemometrics
  • Author : Steven Brown,Roma Tauler,Beata Walczak
  • Publisher : Elsevier
  • Release Date : 2020-05-26
  • Total pages : 2944
  • ISBN : 9780444641663
  • File Size : 50,9 Mb
  • Total Download : 384
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Download Comprehensive Chemometrics in PDF, Epub, and Kindle

Comprehensive Chemometrics, Second Edition features expanded and updated coverage, along with new content that covers advances in the field since the previous edition published in 2009. Subject of note include updates in the fields of multidimensional and megavariate data analysis, omics data analysis, big chemical and biochemical data analysis, data fusion and sparse methods. The book follows a similar structure to the previous edition, using the same section titles to frame articles. Many chapters from the previous edition are updated, but there are also many new chapters on the latest developments. Presents integrated reviews of each chemical and biological method, examining their merits and limitations through practical examples and extensive visuals Bridges a gap in knowledge, covering developments in the field since the first edition published in 2009 Meticulously organized, with articles split into 4 sections and 12 sub-sections on key topics to allow students, researchers and professionals to find relevant information quickly and easily Written by academics and practitioners from various fields and regions to ensure that the knowledge within is easily understood and applicable to a large audience Presents integrated reviews of each chemical and biological method, examining their merits and limitations through practical examples and extensive visuals Bridges a gap in knowledge, covering developments in the field since the first edition published in 2009 Meticulously organized, with articles split into 4 sections and 12 sub-sections on key topics to allow students, researchers and professionals to find relevant information quickly and easily Written by academics and practitioners from various fields and regions to ensure that the knowledge within is easily understood and applicable to a large audience

Metaheuristics and Optimization in Computer and Electrical Engineering

Metaheuristics and Optimization in Computer and Electrical Engineering
  • Author : Navid Razmjooy,Mohsen Ashourian,Zahra Foroozandeh
  • Publisher : Springer Nature
  • Release Date : 2020-11-16
  • Total pages : 311
  • ISBN : 9783030566890
  • File Size : 41,6 Mb
  • Total Download : 304
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The use of artificial intelligence, especially in the field of optimization is increasing day by day. The purpose of this book is to explore the possibility of using different kinds of optimization algorithms to advance and enhance the tools used for computer and electrical engineering purposes.

Machine Learning and Metaheuristics Algorithms, and Applications

Machine Learning and Metaheuristics Algorithms, and Applications
  • Author : Sabu M. Thampi,Selwyn Piramuthu,Kuan-Ching Li,Stefano Berretti,Michal Wozniak,Dhananjay Singh
  • Publisher : Springer Nature
  • Release Date : 2021-02-05
  • Total pages : 247
  • ISBN : 9789811604195
  • File Size : 31,7 Mb
  • Total Download : 772
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This book constitutes the refereed proceedings of the Second Symposium on Machine Learning and Metaheuristics Algorithms, and Applications, SoMMA 2020, held in Chennai, India, in October 2020. Due to the COVID-19 pandemic the conference was held online. The 12 full papers and 7 short papers presented in this volume were thoroughly reviewed and selected from 40 qualified submissions. The papers cover such topics as machine learning, artificial intelligence, Internet of Things, modeling and simulation, disctibuted computing methodologies, computer graphics, etc.

Handbook of Moth-Flame Optimization Algorithm

Handbook of Moth-Flame Optimization Algorithm
  • Author : Seyedali Mirjalili
  • Publisher : CRC Press
  • Release Date : 2022-09-20
  • Total pages : 297
  • ISBN : 9781000655674
  • File Size : 46,9 Mb
  • Total Download : 580
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Moth-Flame Optimization algorithm is an emerging meta-heuristic and has been widely used in both science and industry. Solving optimization problem using this algorithm requires addressing a number of challenges, including multiple objectives, constraints, binary decision variables, large-scale search space, dynamic objective function, and noisy parameters. Handbook of Moth-Flame Optimization Algorithm: Variants, Hybrids, Improvements, and Applications provides an in-depth analysis of this algorithm and the existing methods in the literature to cope with such challenges. Key Features: Reviews the literature of the Moth-Flame Optimization algorithm Provides an in-depth analysis of equations, mathematical models, and mechanisms of the Moth-Flame Optimization algorithm Proposes different variants of the Moth-Flame Optimization algorithm to solve binary, multi-objective, noisy, dynamic, and combinatorial optimization problems Demonstrates how to design, develop, and test different hybrids of Moth-Flame Optimization algorithm Introduces several applications areas of the Moth-Flame Optimization algorithm This handbook will interest researchers in evolutionary computation and meta-heuristics and those who are interested in applying Moth-Flame Optimization algorithm and swarm intelligence methods overall to different application areas.

ICT for Competitive Strategies

ICT for Competitive Strategies
  • Author : Durgesh Kumar Mishra,Nilanjan Dey,Bharat Singh Deora,Amit Joshi
  • Publisher : CRC Press
  • Release Date : 2020-05-05
  • Total pages : 940
  • ISBN : 9781000191271
  • File Size : 42,6 Mb
  • Total Download : 714
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Download ICT for Competitive Strategies in PDF, Epub, and Kindle

Fourth International Conference on Information and Communication Technology for Competitive Strategies targets state-of-the-art as well as emerging topics pertaining to information and communication technologies (ICTs) and effective strategies for its implementation for engineering and intelligent applications.

Handbook of Nature-Inspired Optimization Algorithms

Handbook of Nature-Inspired Optimization Algorithms
  • Author : Ali Mohamed
  • Publisher : Springer Nature
  • Release Date : 2022
  • Total pages : 282
  • ISBN : 9783031075124
  • File Size : 13,9 Mb
  • Total Download : 516
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The introduction of nature-inspired optimization algorithms (NIOAs), over the past three decades, helped solve nonlinear, high-dimensional, and complex computational optimization problems. NIOAs have been originally developed to overcome the challenges of global optimization problems such as nonlinearity, non-convexity, non-continuity, non-differentiability, and/or multimodality which traditional numerical optimization techniques had difficulties solving. The main objective for this book is to make available a self-contained collection of modern research addressing the general bound-constrained optimization problems in many real-world applications using nature-inspired optimization algorithms. This book is suitable for a graduate class on optimization, but will also be useful for interested senior students working on their research projects.

Forthcoming Networks and Sustainability in the IoT Era

Forthcoming Networks and Sustainability in the IoT Era
  • Author : Fadi Al-Turjman
  • Publisher : Springer Nature
  • Release Date : 2022
  • Total pages : 394
  • ISBN : 9783030995812
  • File Size : 45,6 Mb
  • Total Download : 433
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This book aims to provide a platform to the researchers and practitioners from both academia and industry to meet and share their experience and knowledge. Forthcoming Networks and Sustainability in the IoT Era (FoNeS-IoT), Volume 1 & 2, aims to bring together researchers and professionals to exchange ideas on the advancements in technology, application areas for advanced communication systems and development of new services, and facilitate a tremendous growth of new devices and smart things that need to be connected to the Internet through a variety of wireless technologies. Parallel to this, new capabilities such as pervasive sensing, multimedia sensing, machine learning, deep learning, unmanned aerial vehicles, cloud and edge computing, energy efficiency/harvesting, and computing power open the way to new domains, services, and business models beyond the traditional mobile Internet. The new areas in turn come with various requirements in terms of reliability, quality of service, and energy efficiency. These are only some examples of the challenges that are of interest to researchers in Forthcoming Networks and Sustainability in the IoT Era (FoNeS-IoT). It will explore the latest developments, innovations, and best practices within the IoT and the impact it has on industries including: manufacturing, transport, supply chain, communication, government, legal sectors, financial services, energy utilities, insurance, health care, retail, and many others. It provides opportunities for academicians and scientists along with professionals, policymakers, and practitioners from various fields in a global realm to present their research, contributions, and views, on one forum, and interact with members inside and outside their own particular disciplines. Papers describing applications of IoT in e-Health, Smart Systems & Management, Communication, and Education are also included, but the focus is mainly on how new and novel techniques advance the performance in application areas, rather than a presentation of yet another application of conventional tool. Papers on such applications describe a principled solution, emphasize its novelty, and present an in-depth evaluation of the techniques being exploited.

Research Anthology on Managing Crisis and Risk Communications

Research Anthology on Managing Crisis and Risk Communications
  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release Date : 2022-07-01
  • Total pages : 834
  • ISBN : 9781668471463
  • File Size : 54,9 Mb
  • Total Download : 229
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In times of crisis, it is crucial that information is disseminated quickly and accurately to the appropriate channels. In today’s technological world, there is a plethora of misinformation that can negatively sway individuals and provide them with false reports. To ensure information is distributed appropriately, organizations must implement a plan to ensure their communication is effective. Further study on the best practices and challenges of managing crisis and risk communications is required to ensure organizations are prepared. The Research Anthology on Managing Crisis and Risk Communications discusses strategies and tactics to effectively manage communication in times of crisis and considers the difficulties associated with maintaining a clear line of information. The book also provides an overview of the potential future directions for this field to improve communications moving forward. Covering key topics such as misinformation, technology, leadership, and human health, this major reference work is ideal for managers, business owners, organization leaders, industry professionals, government officials, policymakers, researchers, academicians, scholars, practitioners, instructors, and students.

Neural Networks, Machine Learning, and Image Processing

Neural Networks, Machine Learning, and Image Processing
  • Author : Manoj Sahni,Ritu Sahni,Jose M Merigo
  • Publisher : CRC Press
  • Release Date : 2022-12-15
  • Total pages : 221
  • ISBN : 9781000814293
  • File Size : 23,7 Mb
  • Total Download : 150
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SECTION I Mathematical Modeling and Neural Network’ Mathematical Essence Chapter 1 Mathematical Modeling on Thermoregulation in Sarcopenia 1.1. Introduction 1.2. Discretization 1.3. Modeling and Simulation of Basal Metabolic Rate and Skin Layers Thickness 1.4. Mathematical Model and Boundary Conditions 1.5. Solution of the Model 1.6. Numerical Results and discussion 1.7. Conclusion References Chapter 2 Multi-objective University Course Scheduling for Uncertainly Generated Courses 2.1 Introduction 2.2 Literature review 2.3 Formulation of problem 2.4 Methodology 2.5 Numerical Example 2.6 Result and Discussion 2.7 Conclusion References Chapter 3 MChCNN : A Deep Learning Approach to Detect Text based Hate Speech 3.1. Introduction Background and Driving Forces 3.2. Related Work 3.3. Experiment and Results 3.4. Conclusion References Chapter 4 PSO Based PFC Cuk Converter fed BLDC Motor Drive for Automotive Applications 4.1. Introduction 4.2. Operation of Cuk converter fed BLDC motor drive system 4.3. Controller Operation 4.4. Result and Discussion 4.5. Conclusion References Chapter 5 Optimize Feature Selection for Condition based monitoring of Cylindrical bearing using Wavelet transform and ANN 5.1. Introduction 5.2. Methodology 5.3. Data Preparation 5.4. Result and Discussion 5.5. Conclusion References Chapter 6 SafeShop - An integrated system for safe pickup of items during COVID-19 6.1. Introduction 6.2. Literature Survey 6.3. Methodology 6.4. Result and Discussion 6.5. Conclusion References Chapter 7 Solution of First Order Fuzzy Differential Equation using Numerical Method 7.1. Introduction 7.2. Preliminaries 7.3. Methodology 7.4. Illustration 7.5. Conclusion References SECTION II Simulations in Machine Learning and Image Processing Chapter 8 Multi-layer Encryption Algorithm for Data Integrity in Cloud Computing 8.1. Introduction 8.2. Related works 8.3. Algorithm description 8.4. Simulation and performance analysis 8.5. Conclusion and Future Work References Chapter 9 Anomaly detection using class of supervised and unsupervised learning algorithms 9. 1. Introduction 9.2. Adaptive threshold and regression techniques for anomaly detection 9.3. Unsupervised Learning techniques for anomaly detection 9.4. Description of the dataset 9.5 Results and Discussions 9.6. Conclusion References Chapter 10 Improving Support Vector Machine accuracy with Shogun’s multiple kernel learning 10. 1. Introduction 10. 2. Support Vector Machine Statistics 10.3. Experiment and Result 10.4 Conclusion References Chapter 11 An Introduction to Parallelisable String-Based SP-Languages 11.1. Introduction 11.2. Parallelisable string-based SP-languages 11.3. Parallel Regular Expression 11.4. Equivalence of Parallel Regular Expression and Branching Automaton 11.5. Parallelisable String-Based SP-Grammar 11.6. Parallelisable String-Based SP-Parallel Grammar 11.7. Conclusion 11.8. Applications 11.9. Future Scope References Chapter 12 Detection of Disease using Machine Learning 12.1. Introduction 12.2. Techniques Applied 12.3. GENERAL ARCHITECTURE OF AI/ML 12.4. EXPERIMENTAL OUTCOMES 12.5. Conclusion References Chapter 13 Driver Drowsiness Detection Using Eye Tracing System 13.1. Introduction 13.2. Literature Review 13.3. Research Method 13.4. Observations and Results 13.5. Conclusion References Chapter 14 An Efficient Image Encryption Scheme Combining Rubik Cube Principle with Masking 14.1 Introduction 14.2 Preliminary Section 14.3 Proposed Work 14. 4 Experimental Setup and Simulation Analysis 14.5 Conclusion References

Applications of Artificial Intelligence and Machine Learning

Applications of Artificial Intelligence and Machine Learning
  • Author : Ankur Choudhary,Arun Prakash Agrawal,Rajasvaran Logeswaran,Bhuvan Unhelkar
  • Publisher : Springer Nature
  • Release Date : 2021-07-27
  • Total pages : 738
  • ISBN : 9789811630675
  • File Size : 47,7 Mb
  • Total Download : 554
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The book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning - ICAAAIML 2020. The book covers research in artificial intelligence, machine learning, and deep learning applications in healthcare, agriculture, business, and security. This volume contains research papers from academicians, researchers as well as students. There are also papers on core concepts of computer networks, intelligent system design and deployment, real-time systems, wireless sensor networks, sensors and sensor nodes, software engineering, and image processing. This book will be a valuable resource for students, academics, and practitioners in the industry working on AI applications.

Enabling Wearable Brain Technologies - Methods and Applications

Enabling Wearable Brain Technologies - Methods and Applications
  • Author : Marcin Wozniak,Victor Hugo C. de Albuquerque,Adel Said Elmaghraby
  • Publisher : Frontiers Media SA
  • Release Date : 2021-11-05
  • Total pages : 103
  • ISBN : 9782889715787
  • File Size : 50,6 Mb
  • Total Download : 505
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PDF book entitled Enabling Wearable Brain Technologies - Methods and Applications written by Marcin Wozniak,Victor Hugo C. de Albuquerque,Adel Said Elmaghraby and published by Frontiers Media SA which was released on 2021-11-05 with total hardcover pages 103, the book become popular and critical acclaim.

Technological Trends in Improved Mobility of the Visually Impaired

Technological Trends in Improved Mobility of the Visually Impaired
  • Author : Sara Paiva
  • Publisher : Springer
  • Release Date : 2019-07-01
  • Total pages : 424
  • ISBN : 9783030164508
  • File Size : 37,5 Mb
  • Total Download : 819
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This book provides an insight into recent technological trends and innovations in mobility solutions and platforms to improve mobility of visually impaired people. The authors' goal is to help to contribute to the social and societal inclusion of the visually impaired. The book’s topics include, but are not limited to, obstacle detection systems, indoor and outdoor navigation, transportation sustainability systems, and hardware/devices to aid visually impaired people. The book has a strong focus on practical applications, tested in a real environment. Applications include city halls, municipalities, and companies that can keep up to date with recent trends in platforms, methodologies and technologies to promote urban mobility. Also discussed are broader realms including education, health, electronics, tourism, and transportation. Contributors include a variety of researchers and practitioners around the world. Features practical, tested applications of technological mobility solutions for visual impaired people; Presents topics such as obstacle detection systems, urban mobility, smart home services, and ambient assisted living; Includes a number of application examples in education, health, electronics, tourism, and transportation.

Applications of Cloud Computing

Applications of Cloud Computing
  • Author : Prerna Sharma,Moolchand Sharma,Mohamed Elhoseny
  • Publisher : CRC Press
  • Release Date : 2020-11-13
  • Total pages : 190
  • ISBN : 9781000214628
  • File Size : 28,6 Mb
  • Total Download : 928
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In the era of the Internet of Things and with the explosive worldwide growth of electronic data volume, and associated need of processing, analysis, and storage of such a humongous amount of data, it has now become mandatory to exploit the power of massively parallel architecture for fast computation. Cloud computing provides a cheap source of such a computing framework for a large volume of data for real-time applications. It is, therefore, not surprising to see that cloud computing has become a buzzword in the computing fraternity over the last decade. Applications of Cloud Computing: Approaches and Practices lays a good foundation for the core concepts and principles of cloud computing applications, walking the reader through the fundamental ideas with expert ease. The book progresses on the topics in a step-by-step manner. It reinforces theory with a full-fledged pedagogy designed to enhance students' understanding and offer them a practical insight into the applications of it. It is a valuable source of knowledge for researchers, engineers, practitioners, and graduate and doctoral students working in the field of cloud computing. It will also be useful for faculty members of graduate schools and universities.