Recent Advances in Internet of Things and Machine Learning: Real-World Applications, Balas Valentina E., Solanki Vijender Kumar, Kumar Raghvendra
Автор: Balas Valentina E., Solanki Vijender Kumar, Kumar Raghvendra Название: Internet of Things and Big Data Applications: Recent Advances and Challenges ISBN: 3030391213 ISBN-13(EAN): 9783030391218 Издательство: Springer Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides essential future directions for IoT and Big Data research. Thus, there is a new global interest in these applications in various domains such as health, agriculture, energy, security and retail.
Автор: Balas Valentina E., Solanki Vijender Kumar, Kumar Raghvendra Название: Internet of Things and Big Data Applications: Recent Advances and Challenges ISBN: 3030391183 ISBN-13(EAN): 9783030391188 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides essential future directions for IoT and Big Data research. Thus, there is a new global interest in these applications in various domains such as health, agriculture, energy, security and retail.
Автор: Al-Turjman Fadi, Nayyar Anand Название: Machine Learning for Critical Internet of Medical Things: Applications and Use Cases ISBN: 3030809277 ISBN-13(EAN): 9783030809270 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book discusses the applications, challenges, and future trends of machine learning in medical domain, including both basic and advanced topics. The book presents how machine learning is helpful in smooth conduction of administrative processes in hospitals, in treating infectious diseases, and in personalized medical treatments. The authors show how machine learning can also help make fast and more accurate disease diagnoses, easily identify patients, help in new types of therapies or treatments, model small-molecule drugs in pharmaceutical sector, and help with innovations via integrated technologies such as artificial intelligence as well as deep learning. The authors show how machine learning also improves the physician’s and doctor’s medical capabilities to better diagnosis their patients. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning that will enhance the efficiency and effectiveness of the healthcare system. * Provides researchers in machine and deep learning with a conceptual understanding of various methodologies of implementing the technologies in medical areas; * Discusses the role machine learning and IoT play into locating different virus and diseases across the globe, such as COVID-19, Ebola, and cervical cancer; * Includes fundamentals and advances in machine learning in the medical field, supported by significant case studies and practical applications.
Автор: Balas Valentina E., Kumar Raghvendra, Srivastava Rajshree Название: Recent Trends and Advances in Artificial Intelligence and Internet of Things ISBN: 3030326462 ISBN-13(EAN): 9783030326463 Издательство: Springer Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A 128-Bit Tunable True Random Number Generator with Digital Clock Manager.- Network Monitoring System Using Ping Methodology and GUI.- License Plate Recognition Based On K-Means Clustering Algorithm.
Автор: Valentina E. Balas; Raghvendra Kumar; Rajshree Sri Название: Recent Trends and Advances in Artificial Intelligence and Internet of Things ISBN: 3030326438 ISBN-13(EAN): 9783030326432 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book covers all the emerging trends in artificial intelligence (AI) and the Internet of Things (IoT). The Internet of Things is a term that has been introduced in recent years to define devices that are able to connect and transfer data to other devices via the Internet. While IoT and sensors have the ability to harness large volumes of data, AI can learn patterns in the data and quickly extract insights in order to automate tasks for a variety of business benefits. Machine learning, an AI technology, brings the ability to automatically identify patterns and detect anomalies in the data that smart sensors and devices generate, and it can have significant advantages over traditional business intelligence tools for analyzing IoT data, including being able to make operational predictions up to 20 times earlier and with greater accuracy than threshold-based monitoring systems. Further, other AI technologies, such as speech recognition and computer vision can help extract insights from data that used to require human review. The powerful combination of AI and IoT technology is helping to avoid unplanned downtime, increase operating efficiency, enable new products and services, and enhance risk management.
Автор: Tsihrintzis George A., Jain Lakhmi C. Название: Machine Learning Paradigms: Advances in Deep Learning-Based Technological Applications ISBN: 3030497232 ISBN-13(EAN): 9783030497231 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Chapter 1: Introduction to Deep Learning-based Technological Applications.- Chapter 2: Vision to Language: Methods, Metrics and Datasets.- Chapter 3: Deep Learning Techniques for Geospatial Data Analysis.- Chapter 4: Deep Learning Approaches in Food Recognition.- Chapter 5: Deep Learning for Twitter Sentiment Analysis: the Effect of pre-trained Word Embedding.- Chapter 6: A Good Defense is a Strong DNN: Defending the IoT with Deep Neural Networks.- Chapter 7: Survey on Deep Learning Techniques for Medical Imaging Application Area.- Chapter 8: Deep Learning Methods in Electroencephalography.
At the dawn of the 4th Industrial Revolution, the field of Deep Learning (a sub-field of Artificial Intelligence and Machine Learning) is growing continuously and rapidly, developing both theoretically and towards applications in increasingly many and diverse other disciplines. The book at hand aims at exposing its reader to some of the most significant recent advances in deep learning-based technological applications and consists of an editorial note and an additional fifteen (15) chapters. All chapters in the book were invited from authors who work in the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into six parts, namely (1) Deep Learning in Sensing, (2) Deep Learning in Social Media and IOT, (3) Deep Learning in the Medical Field, (4)Deep Learning in Systems Control, (5) Deep Learning in Feature Vector Processing, and (6) Evaluation of Algorithm Performance.
This research book is directed towards professors, researchers, scientists, engineers and students in computer science-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent deep learning-based technological applications. An extensive list of bibliographic references at the end of each chapter guides the readers to probe deeper into their application areas of interest.
Автор: Saifullah Khalid Название: Applications of Artificial Intelligence in Electrical Engineering ISBN: 1799827186 ISBN-13(EAN): 9781799827184 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 283010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Artificial intelligence is increasingly finding its way into industrial and manufacturing contexts. The prevalence of AI in industry from stock market trading to manufacturing makes it easy to forget how complex artificial intelligence has become. Engineering provides various current and prospective applications of these new and complex artificial intelligence technologies.
Applications of Artificial Intelligence in Electrical Engineering is a critical research book that examines the advancing developments in artificial intelligence with a focus on theory and research and their implications. Highlighting a wide range of topics such as evolutionary computing, image processing, and swarm intelligence, this book is essential for engineers, manufacturers, technology developers, IT specialists, managers, academicians, researchers, computer scientists, and students.
Автор: Auer Michael E., Tsiatsos Thrasyvoulos Название: Internet of Things, Infrastructures and Mobile Applications: Proceedings of the 13th IMCL Conference ISBN: 3030499316 ISBN-13(EAN): 9783030499310 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A Framework for Developing a Set of Games for Children Diagnosed with Autism.- LinkLearn: Blockchain Technology As A Learning Tool.- New Era of the Nano-Electronic Devices - One of the Most Adaptive Learning Areas for the Next Period.- Open Source Online Conference System for Industry Experts Participation in Education.- Interactive TV And Music Education - Mobile Music Practices & Limitations: Learning Byzantine Music Online.- An Analysis For The Identification Of Use And Development Of Game Design Strategies For Early Childhood Learners.- Measuring knowledge gains in an m-learning intervention: The case of ChildConnect South Africa.- Measuring Uptake and Engagement in an m-learning Intervention: The Case of ChildConnect South Africa.- Development of a Classroom Response System: a Web-based approach used in SEPT.- Analysis of the Perception of Students of the Autonomous University of Baja California Sur for the use of m-learning environments in higher education.- Work-in-Progress: Development of a Framework for Incorporating Usability aspects with Digital Didactical Design for Mobile/Tablet based Learning in Pre-primary Education.- Promoting Authentic Student Assessment For STEM Project-Based Learning Activities.- Predictive Modelling Concerning Mobile Learning Advance.- Assessing Early Grade Mathematics Learner Outcomes Using m-Learning.- Users' and Experts' Evaluation of TARGET: a Serious Game for Mitigating Performance Enhancement Culture in Youth.- Poster: Exploring the Educational Affordances of an Academic Eportfolio for Engineer Students Through a Self-Regulated Learning Framework.- M-health as a Tool in the Cognitive Flexibility of the Elderly.- Critical categorization of Android and IOS Applications available for STEAM Education inEarly Childhood.- Museum exhibits that interact with students' mobile devices. The case of Hellenic Maritime Museum.- Can Elementary Students Design Interactions And Learning Representations Of Educational Apps? The We!Design!Fractions Participatory Approach.- Pedagogical Considerations for Mobile-based Augmented Reality Learning Environments.- Machine learning & Deep learning: Recent Overview in Medical Care.- Learn to Code, an Interactive Application to Promote Mobile Student-Centred Learning.- Emerging Technologies and Augmented Reality in the development of Learning and Human Potential.- Level of Digital Literacies among Austrian College Students Assessed with an Online Survey.- A Gamefied Educational Network for Collaborative Learning.- Dynamic Mobile Student Response Approach.- Poster: The Use of a Virtual Personal Assistant (FENNChat) as a Platform for Providing Automated Responses to ODL Students' Queries at UNISA.- Poster: Proposal of an Intelligent Model for Remote Tutoring.- A Comparative Study Of Augmented Reality Platforms For Building Educational Mobile Applications.- M-Learning: Are We Ready to Go Mobile?.- Framework For Automatic VPN Access To Remotely Discovered Resources.- Poster: Learn To Love My Grandchild Design With The User.- Enhancing Second Language Listening Skills through Smartphones: A Case Study.- Exposing Rural Indian Students to Mobile Assisted Language Learning: A Case Study.- How Can Facebook Use In Education Be Realized As Crowdsourcing Of Learning? An Exploration Of Junior, Senior And Graduates Working Together.- Concept of Digital Competences In-service Training Systems.- Means of Cyber Security Aspects Studying in Maritime Specialists Education.- Evaluating a Coaching MOOC Course to Support Dual Career of Athletes.- LoRa Technology Benefits in Educational Institutes.- Three IoT Wearables in Five European Cities! Reality and Perception.- Work-in-Progress: Designing an E-c
Автор: Fortino Giancarlo, Liotta Antonio, Gravina Raffaele Название: Data Science and Internet of Things: Research and Applications at the Intersection of DS and Iot ISBN: 3030671968 ISBN-13(EAN): 9783030671969 Издательство: Springer Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book focuses on the combination of IoT and data science, in particular how methods, algorithms, and tools from data science can effectively support IoT.
Introduction.- Section 1: Industrial Internet of things (IIoT).- Introduction to Industrial Internet of things (IIoT).- IIoT Architecture.- IIoT Key Technologies .- IIoT Use Cases.- Section 2: Smart Sensors for IIoT.- How Smart? - Role of Smart Sensors in IIoT.- Challenges to IIoT Smart Sensor Manufacturing and Deployment.- Section 3: IIoT Smart.- Sensors and Business Aspects.- Smart Sensor IIoT Businesses.- Predictive Analytics with Sensor Data.- Efficient Business Predictions .- Section 4: IIoT Smart Sensors Potential and Applications.- Potential and Importance of Smart Sensors for IIoT.- Real-World Applications of Smart Sensor IIoT.- Section 5: IIoT Smart Sensor Case Studies.- Connected Vehicles - Intelligent Transport Systems.- Internet of Drones.- Precision Farming/Agriculture.- Healthcare.- Conclusion.
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