IoT Sensors, ML, AI and XAI: Empowering A Smarter World
Author: Biswajeet Pradhan
Publisher: Springer Nature
Published:
Total Pages: 479
ISBN-13: 3031686020
DOWNLOAD EBOOKPosts
IoT Sensors, ML, AI and XAI: Empowering A Smarter World
Author: Biswajeet Pradhan
Publisher: Springer
Published: 2024-11-02
Total Pages: 0
ISBN-13: 9783031686016
DOWNLOAD EBOOKThis book uncovers and presents various real-life applications in the areas of transportation, smart cities, manufacturing, agriculture, disaster management, finance, health care and in other areas by using cutting-edge advanced Machine Learning (ML) techniques such as Deep Learning and Explainable AI (XAI) models using IoT sensor data. The book provides various examples of analyzing large amounts of data, detecting patterns, and making predictions in real-time applications and detailed case studies with practical solutions using various state-of-the-art machine learning and IoT sensor data and all these aspects will benefit the stakeholders. The book is useful for academics, researchers, upper-undergraduate, master and Ph.D. students, engineers and practitioners in sensor/IoT and AI/ML technologies, methods, applications, and related areas, and it also offers valuable insights by suggesting future research directions and providing recommendations within the fields of AI and IoT.
Explainable Artificial Intelligence for Smart Cities
Author: Mohamed Lahby
Publisher: CRC Press
Published: 2021-11-09
Total Pages: 361
ISBN-13: 1000472361
DOWNLOAD EBOOKThanks to rapid technological developments in terms of Computational Intelligence, smart tools have been playing active roles in daily life. It is clear that the 21st century has brought about many advantages in using high-level computation and communication solutions to deal with real-world problems; however, more technologies bring more changes to society. In this sense, the concept of smart cities has been a widely discussed topic in terms of society and Artificial Intelligence-oriented research efforts. The rise of smart cities is a transformation of both community and technology use habits, and there are many different research orientations to shape a better future. The objective of this book is to focus on Explainable Artificial Intelligence (XAI) in smart city development. As recently designed, advanced smart systems require intense use of complex computational solutions (i.e., Deep Learning, Big Data, IoT architectures), the mechanisms of these systems become ‘black-box’ to users. As this means that there is no clear clue about what is going on within these systems, anxieties regarding ensuring trustworthy tools also rise. In recent years, attempts have been made to solve this issue with the additional use of XAI methods to improve transparency levels. This book provides a timely, global reference source about cutting-edge research efforts to ensure the XAI factor in smart city-oriented developments. The book includes both positive and negative outcomes, as well as future insights and the societal and technical aspects of XAI-based smart city research efforts. This book contains nineteen contributions beginning with a presentation of the background of XAI techniques and sustainable smart-city applications. It then continues with chapters discussing XAI for Smart Healthcare, Smart Education, Smart Transportation, Smart Environment, Smart Urbanization and Governance, and Cyber Security for Smart Cities.
Proceedings of the International Conference on Big Data, IoT, and Machine Learning
Author: Mohammad Shamsul Arefin
Publisher: Springer Nature
Published: 2021-12-03
Total Pages: 784
ISBN-13: 9811666369
DOWNLOAD EBOOKThis book gathers a collection of high-quality peer-reviewed research papers presented at the International Conference on Big Data, IoT and Machine Learning (BIM 2021), held in Cox’s Bazar, Bangladesh, during 23–25 September 2021. The book covers research papers in the field of big data, IoT and machine learning. The book will be helpful for active researchers and practitioners in the field.
Smart Sensors Measurements and Instrumentation
Author: Santhosh K V
Publisher: Springer Nature
Published: 2021-05-10
Total Pages: 503
ISBN-13: 9811603367
DOWNLOAD EBOOKThis book presents the select proceedings of Control Instrumentation and System Conference, (CISCON 2020) held at Manipal Institute of Technology, MAHE, Manipal. It examines a wide spectrum covering the latest trends in the fields of instrumentation, sensors and systems, and industrial automation and control. The topics covered include image and signal processing, robotics, renewable energy, power systems and power drives, performance attributes of MEMS, multi-sensor data fusion, machine learning, optimization techniques, process control, safety monitoring, safety critical control, supervisory control, system modeling and virtual instrumentation. The book is a valuable reference for researchers and professionals interested in sensors, adaptive control, automation and control and allied fields.
The Organisation of Tomorrow
Author: Mark Van Rijmenam
Publisher: Routledge
Published: 2019-07-19
Total Pages: 177
ISBN-13: 1000007677
DOWNLOAD EBOOKThe Organisation of Tomorrow presents a new model of doing business and explains how big data analytics, blockchain and artificial intelligence force us to rethink existing business models and develop organisations that will be ready for human-machine interactions. It also asks us to consider the impacts of these emerging information technologies on people and society. Big data analytics empowers consumers and employees. This can result in an open strategy and a better understanding of the changing environment. Blockchain enables peer-to-peer collaboration and trustless interactions governed by cryptography and smart contracts. Meanwhile, artificial intelligence allows for new and different levels of intensity and involvement among human and artificial actors. With that, new modes of organising are emerging: where technology facilitates collaboration between stakeholders; and where human-to-human interactions are increasingly replaced with human-to-machine and even machine-to-machine interactions. This book offers dozens of examples of industry leaders such as Walmart, Telstra, Alibaba, Microsoft and T-Mobile, before presenting the D2 + A2 model – a new model to help organisations datafy their business, distribute their data, analyse it for insights and automate processes and customer touchpoints to be ready for the data-driven and exponentially-changing society that is upon us This book offers governments, professional services, manufacturing, finance, retail and other industries a clear approach for how to develop products and services that are ready for the twenty-first century. It is a must-read for every organisation that wants to remain competitive in our fast-changing world.
Essentials of Healthcare Analytics
Author: Prof. Dr. R Gopal, Prof. Dr. Gagandeep Kaur Nagra, Dr. Priya Vij
Publisher: Notion Press
Published: 2024-08-28
Total Pages: 391
ISBN-13:
DOWNLOAD EBOOKIn a world where data-driven decisions can lead to changes in the land in health care, "Essentials of Healthcare Analytics" is the unique source of how to leverage that data to deliver better care at a lower cost and with better margins. This book delves deep into the great yet critical role that analytics play in health care and looks forward to how the technologies, methodologies, and best practices in this field are set to have their future defined. It could entail such diverse topics as foundational concepts through advanced applications, data integration, predictive modeling, and real-time analytics. Learn how to leverage state-of-the-art tools such as Python and R in data analysis and find out how machine learning and AI have changed patient care, personalized medicine, and healthcare management. Whether you are a working professional in healthcare, a data analyst, or a student who seeks to break into such an exciting field, Essentials of Healthcare Analytics will prepare you with knowledge and the right skill set to negotiate the complexities of healthcare through data and make this knowledge actionable for informed decisions. Embrace the future of healthcare with the deep understanding of how analytics can drive your organization towards innovation and efficiency.
Interdigital Sensors
Author: Subhas Chandra Mukhopadhyay
Publisher: Springer Nature
Published: 2021-02-15
Total Pages: 407
ISBN-13: 3030626849
DOWNLOAD EBOOKThe book highlights the research contributions of the interdigitated (IDT) sensors over a period of two decades in the field of sensing technology. It presents theory, design, and practical realization of the IDT sensors working over wide frequency rage for scientific, industrial, and consumer applications. The IDT sensors have been widely investigated for wide range of sensing applications including agriculture, environmental monitoring, structural health monitoring, health care, food and beverage testing, testing of dielectric material, proximity sensing, microfluidic application, automatic dispensing system etc. Hence, importance of IDT sensors is growing continuously for future applications. As such, it offers a key reference guide on IDT sensors for students, applied physicists, material scientists, engineers, sensors designers and technicians.
AI in the Wild
Author: Peter Dauvergne
Publisher: MIT Press
Published: 2020-09-15
Total Pages: 278
ISBN-13: 0262359588
DOWNLOAD EBOOKExamining the potential benefits and risks of using artificial intelligence to advance global sustainability. Drones with night vision are tracking elephant and rhino poachers in African wildlife parks and sanctuaries; smart submersibles are saving coral from carnivorous starfish on Australia's Great Barrier Reef; recycled cell phones alert Brazilian forest rangers to the sound of illegal logging. The tools of artificial intelligence are being increasingly deployed in the battle for global sustainability. And yet, warns Peter Dauvergne, we should be cautious in declaring AI the planet's savior. In AI in the Wild, Dauvergne avoids the AI industry-powered hype and offers a critical view, exploring both the potential benefits and risks of using artificial intelligence to advance global sustainability.
IoT System Design
Author: Alice James
Publisher: Springer Nature
Published: 2021-09-25
Total Pages: 279
ISBN-13: 3030858634
DOWNLOAD EBOOKThis book presents a step by step design approach to develop and implement an IoT system starting from sensor, interfacing to embedded processor, wireless communication, uploading measured data to cloud including data visualization along with machine learnings and artificial intelligence. The book will be extremely useful towards a hands-on approach of designing and fabricating an IoT system especially for upper undergraduate, master and PhD students, researchers, engineers and practitioners.
