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  • 1
    ISBN: 9789811651601
    Language: English
    Pages: 1 Online-Ressource(XIV, 117 p. 58 illus., 50 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Big Data 94
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Computer science. ; Engineering—Data processing. ; Mathematical optimization.
    Abstract: Introduction to Data Science -- Data Collection and Preparation -- Data Analysis and Machine learning Algorithms -- Data Visualization Tools and Data Modelling -- Data Science in Information, Communication and Technology -- Data Science in Civil & Mechanical Engineering -- Data Science in Clinical Decision System -- Conclusions.
    Abstract: This book is one-stop shop which offers essential information one must know and can implement in real-time business expansions to solve engineering problems in various disciplines. It will also help us to make future predictions and decisions using AI algorithms for engineering problems. Machine learning and optimizing techniques provide strong insights into novice users. In the era of big data, there is a need to deal with data science problems in multidisciplinary perspective. In the real world, data comes from various use cases, and there is a need of source specific data science models. Information is drawn from various platforms, channels, and sectors including web-based media, online business locales, medical services studies, and Internet. To understand the trends in the market, data science can take us through various scenarios. It takes help of artificial intelligence and machine learning techniques to design and optimize the algorithms. Big data modelling and visualization techniques of collected data play a vital role in the field of data science. This book targets the researchers from areas of artificial intelligence, machine learning, data science and big data analytics to look for new techniques in business analytics and applications of artificial intelligence in recent businesses.
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  • 2
    ISBN: 9789811675232
    Language: English
    Pages: 1 Online-Ressource(XVI, 116 p. 32 illus., 28 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Big Data 100
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Computer simulation. ; Neural networks (Computer science). ; Statistics .
    Abstract: Introduction -- Data Analysis and Mathematical Modeling for Covid-19 Pandemic -- Influence of Covid-19 on Quality of Work Life in Real Estate Sector -- Influence of Covid-19 on Quality of Work Life in Education Sector -- Influence of Covid-19 on Quality of Work Life in Information Technology/ Software Industries -- Influence of Covid-19 on Quality of Work Life in Agriculture Sector. .
    Abstract: This book is focused on the impact of the COVID-19 pandemic on different sectors, i.e., education, real estate, health, and agriculture. The lockdown has been announced to control the spread of COVID-19 infections, however people/industries/organizations were not ready for lockdown and it has greatly affected their growth. The front workers in the healthcare sector suffered a lot as major responsibilities they needed to carry on. The education sector is also hampered due to the pandemic as schools, colleges were closed and teaching, examinations were carried out on online platforms. These platforms were new to teachers as well as students. The real estate sector faced tremendous loss in this pandemic as people were scared and no one ready to invest their money in such an uncertain time. The agriculture filed is also suffered as raw materials required for agriculture were not available readily due to pandemic. This book presents a survey that is conducted to understand the impact of COVID-19 on the quality of work-life in various sectors. The survey is focused majorly on four sectors, i.e. education, healthcare, real estate and agriculture. Data analysis is done based on responses of survey and mathematical modeling is provided for each case study.
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  • 3
    ISBN: 9789819948505
    Language: English
    Pages: 1 Online-Ressource(X, 97 p. 33 illus., 29 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: SpringerBriefs in Computational Intelligence
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Quantitative research. ; Mechanical engineering. ; Internet of things.
    Abstract: 1. Introduction to Predictive Analytics -- 2. Data Acquisition and Preparation -- 3. Intelligent Approaches -- 4. Predictive Maintenance -- 5. Predictive Maintenance for Mechanical Design System -- 6. Predictive Maintenance for Manufacturing -- 7. Conclusions.
    Abstract: This book focus on key component required for building predictive maintenance model. The current trend of Maintenance 4.0 leans towards the preventive mechanism enabled by predictive approach and condition-based smart maintenance. The intelligent decision support, earlier detection of spare part failure, fatigue detection is the main slices of intelligent and predictive maintenance system (PMS) leading towards Maintenance 4.0 This book presents prominent use cases of mechanical engineering using PMS along with the benefits. Basic understanding of data preparation is required for development of any AI application; in view of this, the types of the data and data preparation processes, and tools are also presented in this book.
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  • 4
    ISBN: 9783031297137
    Language: English
    Pages: 1 Online-Ressource(XXVII, 575 p. 160 illus., 128 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Signals and Communication Technology
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Abstract: Introduction -- Section 1: Fundamentals of the Industry 4.0 -- Fundamental of IoT -- Architecture of IoT -- Automation -- Big data challenges -- Cloud computing services -- convergence of IoT and cloud computing -- Section 2: Emerging trends in Artificial Intelligence -- Knowledge representation -- Machine learning -- Deep learning -- AI based industry automation -- Section 3: AI based data management, architecture and framework -- Algorithms and techniques for data management and cloud -- Reference architectures -- Frameworks for integrating IoT, ML and Cloud -- Section 4: Software Portability and Virtual Machine Design -- Virtual Machine designs -- VM design and programming-language/compiler theory concerns -- Section 5: Security for industry 4.0 -- Industry 4.0 -- Artificial intelligence -- Machine Learning -- Signal Processing -- Multimedia -- Big data -- Software Portability -- Virtual Machines -- Conclusion. .
    Abstract: This book presents some of the most advanced leading-edge technology for the fourth Industrial Revolution -- known as “Industry 4.0.” The book provides a comprehensive understanding of the interconnections of AI, IoT, big data and cloud computing as integral to the technologies that revolutionize the way companies produce and distribute products and the way local governments deliver their services. The book emphasizes that at every phase of the supply chain, manufactures are found to be interweaving AI, robotics, IoT, big data/machine learning, and cloud computing into their production facilities and throughout their distribution networks. Equally important, the authors show how their research can be applied to computer vision, cyber security, database and compiler theory, natural language processing, healthcare, education and agriculture. Presents the fundamentals of AI, IoT, and cloud computing and how they can be incorporated in Industry 4.0 applications Motivates readers to address challenges in the areas of speech communication and signal processing Provides numerous examples, case studies, technical descriptions, and approaches of AI/ML.
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  • 5
    ISBN: 9783110625783 , 9783110628517
    Language: English
    Pages: 1 Online-Ressource (176 Seiten) , Illustrationen, Diagramme
    Series Statement: De Gruyter Series on the Internet of Things
    Parallel Title: Erscheint auch als The internet of everything
    DDC: 004.678
    RVK:
    Keywords: Computers ; Computers / Artificial Intelligence ; Electronic books ; Internet der Dinge
    Abstract: In the era before IoT, the world wide web, internet, web 2.0 and social media made people's lives comfortable by providing web services and enabling access personal data irrespective of their location. Further, to save time and improve efficiency, there is a need for machine to machine communication, automation, smart computing and ubiquitous access to personal devices. This need gave birth to the phenomenon of Internet of Things (IoT) and further to the concept of Internet of Everything (IoE)
    Note: Literaturangaben
    URL: Cover  (Thumbnail cover image)
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  • 6
    ISBN: 1000417816 , 9781003189091 , 1003189091 , 9781000417814 , 9781000417838 , 1000417832
    Language: English
    Pages: 1 online resource , illustrations
    Edition: 1st edition.
    Series Statement: Intelligent signal processing and data analysis
    Parallel Title: Erscheint auch als
    Keywords: Internet of things ; Cloud computing ; Internet des objets ; Infonuagique ; Cloud computing ; Internet of things ; Electronic books
    Abstract: This book presents the know-how of the real-time IoT application development activity including a basic understanding of the IoT architecture, use cases, smart computing, and the associated challenges in design and development of the IoT system. All the technical details related to protocol stack, technologies, and platforms used for the implementation are explained. It further includes techniques and case studies that include smart computing on the IoT-Cloud models along with test beds for experimentation purposes. The book aims at setting up the groundwork for the creation of applications that can help make day-to-day tasks simpler by meeting the needs of varied sectors like education, health care, agriculture, and so forth. Features: Covers IoT cloud convergence with a focus on complex industrial IoT case studies. Discusses the broad background of IoT-Cloud convergence architectures and its fundamentals along with resource provisioning mechanisms. Emphasizes the use of context in developing context-aware IoT solutions. Presents a novel C-model that explains the IoT application development phases. Discusses a simplified convergence model that depicts the role of Cloud in an IoT application. This book aims at graduate students, researchers, and professionals getting started in the IoT field.
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  • 7
    ISBN: 9789811675232
    Language: English
    Pages: 1 online resource (127 pages)
    Series Statement: Studies in Big Data Ser. v.100
    Parallel Title: Erscheint auch als
    DDC: 306.36
    Keywords: Quality of work life ; COVID-19 Pandemic, 2020--Psychological aspects ; Electronic books ; Electronic books
    Abstract: Intro -- Preface -- The key contributions presented in the scope of this book are listed as follows: -- Acknowledgements -- Contents -- About the Editors -- 1 Introduction -- 1.1 Introduction to Quality of Work-Life -- 1.1.1 Characteristics of Quality of Work-Life -- 1.1.2 Stages of QWL Process -- 1.1.3 Importance of Quality of Work-Life -- 1.1.4 Methodology to Improve QWL -- 1.2 Effects of Pandemic on Quality of Work-Life of Employees -- 1.3 Strategies to Reduce the Pandemic Impact on Employees -- 1.3.1 From Company's Perspectives -- 1.4 Work-Life Balance: Tips to Reduce Pandemic Pressure -- 1.4.1 Reduce Multitasking -- 1.4.2 Deep Breath and Meditation -- 1.4.3 Exercise and Eating -- 1.4.4 Define Individual Space at Home -- 1.5 Employee Engagement Practices During COVID‐19 -- 1.5.1 Virtual Yoga or Workout -- 1.5.2 Online Happy Hour -- 1.5.3 Cook Together Online -- 1.5.4 Virtual Team Building Activities -- 1.5.5 Games on House Party -- 1.5.6 Virtual Group Training Programs -- 1.5.7 Host Virtual Lunch and Learning -- 1.6 Discussion -- 1.7 Summary -- References -- 2 Data Analysis and Mathematical Modeling for COVID-19 Pandemic -- 2.1 Introduction -- 2.2 Need of Data Analysis and Mathematical Modeling -- 2.3 Tools for Mathematical Modeling -- 2.4 Pragmatic Approach for Mathematical Modeling -- 2.4.1 Rough Set Theory -- 2.4.2 Conditional Probability -- 2.4.3 Graph Theory -- 2.5 Summary -- References -- 3 Influence of COVID-19 on Quality of Work-Life in Real Estate Sector -- 3.1 Introduction -- 3.2 Literature Survey -- 3.3 Dataset and Data Description -- 3.4 Descriptive Statistics -- 3.5 Mathematical Modeling -- 3.6 Data Analysis and Visualization -- 3.7 Summary -- References -- 4 Impact of COVID-19 Pandemic on Education Sector -- 4.1 Introduction -- 4.2 Literature Survey -- 4.3 Dataset and Data Description -- 4.4 Descriptive Statistics.
    Note: Description based on publisher supplied metadata and other sources
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