Experiments With Alternate Currents of High Potential and High Frequency
Intelligent Control for Modern Transportation Systems
The proposed book covers the aspects of modern transportation systems, with intelligent control and would be extremely useful to students, teachers, and industry professionals. It discusses artificial intelligence-based approaches and technologies in controlling and operating solar photovoltaic systems
Artificial Intelligence and Blockchain in Industry 4.0
The text addresses the challenges in designing blockchain-based secured solutions for Industry 4.0 applications using artificial intelligence. It further provides a comparative analysis of various advanced security approaches such as edge computing, cybersecurity, and cloud computing in the realm of information technology.
Data-Driven Technologies and Artificial Intelligence in Supply Chain
This book highlights the importance of data-driven technologies and artificial intelligence in supply chain management. It covers important concepts such as enabling technologies in Industry 4.0, the impact of artificial intelligence, and data-driven technologies in lean manufacturing.
Advances in Electronics, Computer, Physical and Chemical Sciences
The conference aimed to provide a platform for researchers, scientists, technocrats, academicians and engineers to exchange their innovative ideas and new challenges being faced in the field of emerging technologies.
Energy Efficient and Reliable Embedded Nanoscale SRAM Design
Low Power Designs in Nanodevices and Circuits for Emerging Applications
The book comprehensively discusses topics such as flexible and stretchable devices, modeling, and simulation for microelectronic devices. It further covers nanometer transistors and models, optimizing power in circuits and systems, and emerging nanodevices for low-power applications.
Blockchain and Artificial Intelligence-Based Solution to Enhance the Privacy in Digital Identity and IoT
In the different chapters of this book, we explored the main domains that represent considerable risks for the respect of privacy, such as education, health, finance or social media.
Energy Harvesting and Storage Devices
The book discusses the materials, devices and methodologies that can be used for energy harvesting including advanced materials. It describes synthesis and fabrication of energy storage materials, developments in organic/inorganic, and flexible solar cells, usage of high energy density thin films for future power systems, and so forth.
Spatiotemporal Analytics
This book explains in very simple terms the concepts of spatiotemporal analytics and statistics, theories, and methods used. Each chapter introduces a case study as an example application for an in-depth learning process. The software used and the codes provided enable readers to learn statistics and use them effectively in their projects.
Advances in Electronics, Computer, Physical and Chemical Sciences
The conference aimed to provide a platform for researchers, scientists, technocrats, academicians and engineers to exchange their innovative ideas and new challenges being faced in the field of emerging technologies. It provided an opportunity to exchange ideas among global leaders and experts from academia and industry in developing domains such as machine learning, intelligence systems, smart infrastructure, advanced power technology, and so forth. It covered all broad disciplines of electronics, computer, physical and chemical science engineering.
Optical and Wireless Communications
This edited volume presents the application of machine learning and artificial intelligence to optical and wireless systems in a cohesive manner to enable readers to access and comprehend the latest advances. A vital resource for professionals and researchers in the fields of electrical and computer engineering, and computer science.
GIS Tutorial for ArcGIS Pro 3.4
Jump into GIS with this popular hands-on textbook, written and updated for ArcGIS Pro 3.4.GIS Tutorial for ArcGIS Pro 3.4 is the book everyone needs to learn the powerful desktop app ArcGIS Pro.GIS Tutorial for ArcGIS Pro 3.4 is one of the top books on geographic information systems (GIS). Written by award-winning instructors at Carnegie Mellon University, GIS Tutorial for ArcGIS Pro introduces readers, step by step, to basic ArcGIS Pro skills such as: designing mapsusing file geodatabasesgeoprocessinggeocodingcreating an online story map or dashboardworking with raster and 3D mapsdoing spatial analysisThis resource offers numerous examples and experiences to help cement new concepts and skills. By providing hands-on exercises as well as homework assignments, it allows readers to walk through various concepts step by step and reinforce their skills by integrating them for problem-solving.For educators looking to adopt this book for their curriculum, more in-depth instruction, video lectures, and written transcripts are available from the authors. Additional instructor resources including PowerPoint slides, grading sheets, and homework answers (available on VitalSource).This book is easy to use and provides concise explanations; at the same time, it's rigorously thorough in its explanations and practice of Esri's desktop GIS technology. Complete with numerous exercises to practice and improve learning, and additional teaching resources for educators, GIS Tutorial for ArcGIS Pro 3.4 is the ideal book for both classrooms and self-learners looking to develop their understanding of and expertise in ArcGIS Pro.Build your knowledge and use of ArcGIS Pro with GIS Tutorial for ArcGIS Pro 3.4.
Wideband Wave-Propagating Components for Wireless RF Communications
Deep Learning on Embedded Systems
Comprehensive, accessible introduction to deep learning for engineering tasks through Python programming, low-cost hardware, and freely available software Deep Learning On Embedded Systems is a comprehensive guide to the practical implementation of deep learning for engineering tasks through computers and embedded hardware such as Raspberry Pi and Nvidia Jetson Nano. After an introduction to the field, the book provides fundamental knowledge on deep learning, convolutional and recurrent neural networks, computer vision, and basics of Linux terminal and docker engines. This book shows detailed setup steps of Jetson Nano and Raspberry Pi for utilizing essential frameworks such as PyTorch and OpenCV. GPU configuration and dependency installation procedure for using PyTorch is also discussed allowing newcomers to seamlessly navigate the learning curve. A key challenge of utilizing deep learning on embedded systems is managing limited GPU and memory resources. This book outlines a strategy of training complex models on a desktop computer and transferring them to embedded systems for inference. Also, students and researchers often face difficulties with the varying probabilistic theories and notations found in data science literature. To simplify this, the book mainly focuses on the practical implementation part of deep learning using Python programming, low-cost hardware, and freely available software such as Anaconda and Visual Studio Code.To aid in reader learning, questions and answers are included at the end of most chapters. Written by a highly qualified author, Deep Learning On Embedded Systems includes discussion on: Fundamentals of deep learning, including neurons and layers, activation functions, network architectures, hyperparameter tuning, and convolutional and recurrent neural networks (CNNs & RNNs) PyTorch, OpenCV, and other essential framework setups for deep transfer learning, along with Linux terminal operations, docker engine, docker images, and virtual environments in embedded devices. Training models for image classification and object detection with classification, then converting trained PyTorch models to ONNX format for efficient deployment on Jetson Nano and Raspberry Pi. Deep Learning On Embedded Systems serves as an excellent introduction to the field for undergraduate engineering students seeking to learn deep learning implementations for their senior capstone or class projects and graduate researchers and educators who wish to implement deep learning in their research.
The Heart and the Chip
There is a robotics revolution underway. A record 3.1 million robots are working in factories right now, doing everything from assembling computers to packing goods and monitoring air quality and performance. A far greater number of smart machines impact our lives in countless other ways--improving the precision of surgeons, cleaning our homes, extending our reach to distant worlds--and we're on the cusp of even more exciting opportunities.In The Heart and the Chip, roboticist Daniela Rus and science writer Gregory Mone provide an overview of the interconnected fields of robotics, artificial intelligence, and machine learning, and reframe the way we think about intelligent machines while weighing the moral and ethical consequences of their role in society. Robots aren't going to steal our jobs: they're going to make us more capable, productive, and precise.At once optimistic and realistic, Rus and Mone envision a world in which these technologies augment and enhance our skills and talents, both as individuals and as a species--a world in which the proliferation of robots allows us all to be more human.
Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2023
