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Mechanical Drawing: Board & CAD Techniques
by Jay D. HelselProject-based learning prepares students for professional certification with Glencoe Mechanical Drawing: Board and CAD Techniques! Endorsed by the American Design Drafting Association (ADDA), this text includes Prep for ADDA activities. Step-by-step applications, design problems, and drafting problems prepare students for professional excellence and certification. Project-based learning is supported with unit-based projects that integrate technical math and culminate in Build Your Portfolio activities. Help your students get ready for competitive events like the TSA and SkillsUSA with prep activities embedded throughout the content and end-of-chapter assessments. Rigorous academic content is supported, with a special emphasis on math, geometry, and science, with STEM activities. Point-of-use correlations ease possible academic credit application. Extra activities in the Student Edition and workbook help you meet Perkins mandates. The appendix features Math (including algebra and geometry), abbreviations and symbols, pipe symbols, and reference tables (ASME, ANSI, ISO).
Machine Learning for Oracle Database Professionals: Deploying Model-Driven Applications and Automation Pipelines
by Heli Helskyaho Jean Yu Kai YuDatabase developers and administrators will use this book to learn how to deploy machine learning models in Oracle Database and in Oracle’s Autonomous Database cloud offering. The book covers the technologies that make up the Oracle Machine Learning (OML) platform, including OML4SQL, OML Notebooks, OML4R, and OML4Py. The book focuses on Oracle Machine Learning as part of the Oracle Autonomous Database collaborative environment. Also covered are advanced topics such as delivery and automation pipelines.Throughout the book you will find practical details and hand-on examples showing you how to implement machine learning and automate deployment of machine learning. Discussion around the examples helps you gain a conceptual understanding of machine learning. Important concepts discussed include the methods involved, the algorithms to choose from, and mechanisms for process and deployment. Seasoned database professionals looking to make the leap into machine learning as a growth path will find much to like in this book as it helps you step up and use your current knowledge of Oracle Database to transition into providing machine learning solutions.What You Will LearnUse the Oracle Machine Learning (OML) Notebooks for data visualization and machine learning model building and evaluationUnderstand Oracle offerings for machine learningDevelop machine learning with Oracle database using the built-in machine learning packagesDevelop and deploy machine learning models using OML4SQL and OML4RLeverage the Oracle Autonomous Database and its collaborative environment for Oracle Machine LearningDevelop and deploy machine learning projects in Oracle Autonomous DatabaseBuild an automated pipeline that can detect and handle changes in data/model performance Who This Book Is ForDatabase developers and administrators who want to learn about machine learning, developers who want to build models and applications using Oracle Database’s built-in machine learning feature set, and administrators tasked with supporting applications on Oracle Database that make use of the Oracle Machine Learning feature set
Learning NServiceBus Sagas
by Rich HeltonIf you are an Enterprise C# developer who wishes to extend your knowledge of NServiceBus and Enterprise Service Bus in C#, this is the book for you. This book is designed to enhance the education of ESBs and their messaging, whether you are a beginner or a seasoned expert in Enterprise C#, Apex, and Visualforce pages.
Mastering NServiceBus and Persistence
by Rich HeltonThis book is intended for developers, designers, and architects alike who wish to build C# NServiceBus enterprise architectures and learn how ESB persists data and messages to help them attain their goals. No prior knowledge of persistence in NServiceBus is required.
Low-Code Application Development with Appian: The practitioner's guide to high-speed business automation at enterprise scale using Appian
by Stefan HelzleGo from no-code to low-code and translate your business requirements into full-fledged enterprise-ready applicationsKey FeaturesDigitize and automate your business processes quickly using Appian's powerful low-code functionalitiesUnderstand enterprise data models and turn them into actionable Appian RecordsUse declarative code-style UI building to design intuitive UIs and reusable components in AppianBook DescriptionThis book is an exhaustive overview of how the Appian Low-Code BPM Suite enables tech-savvy professionals to rapidly automate business processes across their organization, integrating people, software bots, and data. This is crucial as 80% of all software development is expected to be carried out in low code by 2024. This practical guide helps you master business application development with Appian as a beginner low-code developer. You'll learn to automate business processes using Appian low-code, records, processes, and expressions quickly and on an enterprise scale. In a fictional development project, guided by step-by-step explanations of the concepts and practical examples, this book will empower you to transform complex business processes into software. At first, you'll learn the power of no-code with Appian Quick Apps to solve some of your most crucial business challenges. You'll then get to grips with the building blocks of an Appian, starting with no-code and advancing to low-code, eventually transforming complex business requirements into a working enterprise-ready application. By the end of this book, you'll be able to deploy Appian Quick Apps in minutes and successfully transform a complex business process into low-code process models, data, and UIs to deploy full-featured, enterprise-ready, process-driven, mobile-enabled apps.What you will learnUse Appian Quick Apps to solve the most urgent business challengesLeverage Appian's low-code functionalities to enable faster digital innovation in your organizationModel business data, Appian records, and processesPerform UX discovery and UI building in AppianConnect to other systems with Appian Integrations and Web APIsWork with Appian expressions, data querying, and constantsWho this book is forThis book empowers software developers and tech-savvy business users with a new tool that'll help them increase efficiency by a huge margin and speed up the delivery of new features to meet the demands of business departments. Business users with a maker's attitude finally have the chance to develop their own business applications, as low-code drastically reduces the complexity of traditional software development. Prior experience with automation solutions and low-code programming is needed to help you get the most out of this book.
Handbook of Artificial Intelligence and Wearables: Applications and Case Studies
by Hemachandran K, Manjeet Rege, Zita Zoltay Paprika, K. V. Rajesh Kumar, and Shahid Mohammad GanieThe ever-changing world of wearable technologies makes it difficult for experts and practitioners to keep up with the most recent developments. This handbook provides a solid understanding of the significant role that AI plays in the design and development of wearable technologies along with applications and case studies. Handbook of Artificial Intelligence and Wearables: Applications and Case Studies presents a deep understanding of AI and its involvement in wearable technologies. The book discusses the key role that AI plays and goes on to discuss the challenges and possible solutions. It highlights the more recent advances along with real-world approaches for the design and development of the most popular AI-enabled wearable devices such as smart fitness trackers, AI-enabled glasses, sports wearables, disease diagnostic devices, and more, complete with case studies. This book will be a valuable source for researchers, academics, technologists, industrialists, practitioners, and all people who wish to explore the applications of AI and the part it plays in wearable technologies.
Proceedings of the 2023 2nd International Conference on Artificial Intelligence, Internet and Digital Economy (Atlantis Highlights in Intelligent Systems #9)
by K. Hemachandran Raja Sarath Kumar Boddu Waseem AlhasanThis is an open access book. With the continuous upgrading of network information technology, especially the combination of Internet - cloud computing - blockchain - Internet of things and other information technologies with social and economic activities, through the improvement of artificial intelligence, Internet and big data with high quality and fast processing efficiency, the economic form is transformed from industrial economy to information economy. This will greatly reduce social transaction costs, improve the efficiency of resource optimization, increase the added value of products, enterprises and industries, and promote the rapid development of social productivity. 2023 2nd International Conference on Artificial Intelligence, the Internet and the Digital Economy (ICAID 2023) will continue to focus on the latest research on "Artificial intelligence, the Internet and the Digital Economy", and expand the research on "technology and application of the integrated development of Digital Economy and Artificial Intelligence" as the theme. The aim is to gather experts, scholars, researchers and related practitioners from around the world to share research results, discuss hot issues, and provide participants with cutting-edge technology information so that they can keep abreast of industry developments, the latest technologies and broaden their research horizons.The conference was held in Beijing, China on April 21-23, 2023. All experts and scholars are welcome to attend.
Artificial Intelligence for Business: An Implementation Guide Containing Practical and Industry-Specific Case Studies
by K Hemachandran Raul V. RodriguezArtificial intelligence (AI) is transforming the business world at an unprecedented pace. From automating mundane tasks to predicting consumer behaviour, AI is changing the way businesses operate across all sectors. This book is an exploration of AI in business applications, highlighting the diverse range of ways in which AI is being used across different industries. The book begins with an overview of AI in business and its impact on the workforce. It then explores the role of AI in marketing, advertising, and tourism. The use of AI in personalized recommendations and chatbots is discussed in detail. The book then moves on to examine how AI is changing the retail industry, improving supply chain management, and enhancing the customer experience. The media and entertainment industry is also examined, with a focus on how AI is being used to personalize content and improve the user experience. The book also explores the use of AI in human resources, insurance, legal, and finance. The impact of AI on talent identification, recruitment, underwriting, document analysis, and financial forecasting is discussed in detail. In the healthcare and sports industries, AI is transforming the way we approach diagnosis, treatment, and training. The book examines how AI is being used to analyse medical images, develop personalized treatment plans, and improve patient outcomes. The use of AI in sports performance analysis is also discussed in detail. Finally, the book explores the use of AI in agriculture, energy, education, and the public sector. The potential of AI to optimize crop yields, reduce energy consumption, and improve the quality of education is discussed in detail. The book also examines how AI is being used to improve public services, such as transportation and emergency services. This book is a valuable resource for academics, researchers, professionals, and policymakers who are interested in understanding the potential of AI in the business world. The contributions from leading experts and researchers provide a comprehensive overview of AI in business applications, and how it is transforming different sectors. The book also examines the ethical dilemmas that arise from the use of AI in business, such as the impact on privacy and data security, and the potential for bias in AI algorithms. It provides valuable insights into how businesses can ensure that the use of AI is ethical and responsible. In conclusion, this book is a must-read for anyone interested in the potential of AI in the business world. It provides a comprehensive overview of AI in business applications and how it is transforming different sectors. The book examines the ethical dilemmas that arise from the use of AI in business, providing valuable insights into how businesses can ensure that the use of AI is ethical and responsible. We hope that readers will find this book informative and thought-provoking.
The Business of the Metaverse: How to Maintain the Human Element Within this New Business Reality
by K. Hemachandran Raul V. RodriguezThe metaverse is the future of business applications and models, and this ground-breaking book points and details a complete and clear picture of how the metaverse can impact the various business segments and how the human element will be maintained within the evolutionary change. This book serves as a guide for those planning to implement and expand the metaverse in their business as well as those already using it on limited levels. Simulated intelligence innovation can reveal intricate and significant examples in robust and information-rich situations that posture difficulties for human insight. In addition, similar to other burgeoning advancements, the experience and aptitudes accumulated by vendors and consumers, alongside the steady analysis of interactions and information, empower metaverse calculations to be refined and improved. This book illustrates the current advancements and results and expands the analysis of human-centric metaverse applications to business segments and their future effects on overall enterprise management. Essentially, this book elaborates on the impact of the metaverse across business sectors through the use of case studies.
The Internet of Medical Things: Healthcare Transformation (Advances in Learning Analytics for Intelligent Cloud-IoT Systems)
by R. J. Hemalatha D. Akila D. Balaganesh Anand PaulINTERNET OF MEDICAL THINGS (IOMT) Providing an essential addition to the reference material available in the field of IoMT, this timely publication covers a range of applied research on healthcare, biomedical data mining, and the security and privacy of health records. With their ability to collect, analyze and transmit health data, IoMT tools are rapidly changing healthcare delivery. For patients and clinicians, these applications are playing a central part in tracking and preventing chronic illnesses — and they are poised to evolve the future of care. In this book, the authors explore the potential applications of a wave of sensor-based tools—including wearables and stand-alone devices for remote patient monitoring—and the marriage of internet-connected medical devices with patient information that ultimately sets the IoMT ecosystem apart. This book demonstrates the connectivity between medical devices and sensors is streamlining clinical workflow management and leading to an overall improvement in patient care, both inside care facilities and in remote locations.
Artificial Intelligence Techniques for Satellite Image Analysis (Remote Sensing and Digital Image Processing #24)
by D. Jude HemanthThe main objective of this book is to provide a common platform for diverse concepts in satellite image processing. In particular it presents the state-of-the-art in Artificial Intelligence (AI) methodologies and shares findings that can be translated into real-time applications to benefit humankind. Interdisciplinary in its scope, the book will be of interest to both newcomers and experienced scientists working in the fields of satellite image processing, geo-engineering, remote sensing and Artificial Intelligence. It can be also used as a supplementary textbook for graduate students in various engineering branches related to image processing.
Machine Learning Techniques for Smart City Applications: Trends and Solutions (Advances in Science, Technology & Innovation)
by D. Jude HemanthThis book discusses the application of different machine learning techniques to the sub-concepts of smart cities such as smart energy, transportation, waste management, health, infrastructure, etc. The focus of this book is to come up with innovative solutions in the above-mentioned issues with the purpose of alleviating the pressing needs of human society. This book includes content with practical examples which are easy to understand for readers. It also covers a multi-disciplinary field and, consequently, it benefits a wide readership including academics, researchers, and practitioners.
Internet of Medical Things: Remote Healthcare Systems and Applications (Internet of Things)
by D. Jude Hemanth J. Anitha George A. TsihrintzisThis book looks at the growing segment of Internet of Things technology (IoT) known as Internet of Medical Things (IoMT), an automated system that aids in bridging the gap between isolated and rural communities and the critical healthcare services that are available in more populated and urban areas. Many technological aspects of IoMT are still being researched and developed, with the objective of minimizing the cost and improving the performance of the overall healthcare system. This book focuses on innovative IoMT methods and solutions being developed for use in the application of healthcare services, including post-surgery care, virtual home assistance, smart real-time patient monitoring, implantable sensors and cameras, and diagnosis and treatment planning. It also examines critical issues around the technology, such as security vulnerabilities, IoMT machine learning approaches, and medical data compression for lossless data transmission and archiving. Internet of Medical Things is a valuable reference for researchers, students, and postgraduates working in biomedical, electronics, and communications engineering, as well as practicing healthcare professionals.
Artificial Intelligence and Applied Mathematics in Engineering Problems: Proceedings of the International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2019) (Lecture Notes on Data Engineering and Communications Technologies #43)
by D. Jude Hemanth Utku KoseThis book features research presented at the 1st International Conference on Artificial Intelligence and Applied Mathematics in Engineering, held on 20–22 April 2019 at Antalya, Manavgat (Turkey). In today’s world, various engineering areas are essential components of technological innovations and effective real-world solutions for a better future. In this context, the book focuses on problems in engineering and discusses research using artificial intelligence and applied mathematics. Intended for scientists, experts, M.Sc. and Ph.D. students, postdocs and anyone interested in the subjects covered, the book can also be used as a reference resource for courses related to artificial intelligence and applied mathematics.
Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5.0: Proceedings of the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering ICAIAME 2023, Volume 1 (Engineering Cyber-Physical Systems and Critical Infrastructures #9)
by D. Jude Hemanth Utku Kose Bogdan Patrut Mevlut ErsoyThis book provides a wide collection of the recent studies triggering innovative ways to advance computer science and computational applications. The collection enables readers to understand more about technological conditions advancing industrial perspectives towards Industry 5.0. The research studies included in the book were accepted and presented in the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2023), which was held in Belek, Antalya, Turkey (on 3–4–5 November 2023). By covering the scientific scope of the conference, the book informs the readers about the cutting-edge data-driven solution aspects, intelligent algorithms, and mathematical background applied for solving different kinds of engineering problems. The book is used as a reference source by the wide readership including international researchers, professionals, practitioners from industry, degree students, and experts from all engineering disciplines.
Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5.0: Proceedings of the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering ICAIAME 2023, Volume 2 (Engineering Cyber-Physical Systems and Critical Infrastructures #10)
by D. Jude Hemanth Utku Kose Bogdan Patrut Mevlut ErsoyThis book provides a wide collection of the recent studies triggering innovative ways to advance computer science and computational applications. The collection enables readers to understand more about technological conditions advancing industrial perspectives towards Industry 5.0. The research studies included in the book were accepted and presented in the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2023), which was held in Belek, Antalya, Turkey (on 3–4–5 November 2023). By covering the scientific scope of the conference, the book informs the readers about the cutting-edge data-driven solution aspects, intelligent algorithms, and mathematical background applied for solving different kinds of engineering problems. The book is used as a reference source by the wide readership including international researchers, professionals, practitioners from industry, degree students, and experts from all engineering disciplines.
Smart Applications with Advanced Machine Learning and Human-Centred Problem Design (Engineering Cyber-Physical Systems and Critical Infrastructures #1)
by D. Jude Hemanth Utku Kose Junzo Watada Bogdan PatrutThis book brings together the most recent, quality research papers accepted and presented in the 3rd International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2021) held in Antalya, Turkey between 1-3 October 2021. Objective of the content is to provide important and innovative research for developments-improvements within different engineering fields, which are highly interested in using artificial intelligence and applied mathematics. As a collection of the outputs from the ICAIAME 2021, the book is specifically considering research outcomes including advanced use of machine learning and careful problem designs on human-centred aspects. In this context, it aims to provide recent applications for real-world improvements making life easier and more sustainable for especially humans. The book targets the researchers, degree students, and practitioners from both academia and the industry.
Recent Advances on Memetic Algorithms and its Applications in Image Processing (Studies in Computational Intelligence #873)
by D. Jude Hemanth B. Vinoth Kumar G. R. Karpagam ManavalanThis book includes original research findings in the field of memetic algorithms for image processing applications. It gathers contributions on theory, case studies, and design methods pertaining to memetic algorithms for image processing applications ranging from defence, medical image processing, and surveillance, to computer vision, robotics, etc. The content presented here provides new directions for future research from both theoretical and practical viewpoints, and will spur further advances in the field.
Intelligent Data Communication Technologies and Internet of Things: Proceedings of ICICI 2021 (Lecture Notes on Data Engineering and Communications Technologies #101)
by D. Jude Hemanth Danilo Pelusi Chandrasekar VuppalapatiThis book gathers selected papers presented at the 5th International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI 2021), organized by JCT College of Engineering and Technology, Coimbatore, Tamil Nadu, India during 27 – 28 August 2021. This book solicits the innovative research ideas and solutions for almost all the intelligent data intensive theories and application domains. The general scope of this book covers the design, architecture, modeling, software, infrastructure and applications of intelligent communication architectures and systems for big data or data-intensive applications. In particular, this book reports the novel and recent research works on big data, mobile and wireless networks, artificial intelligence, machine learning, social network mining, intelligent computing technologies, image analysis, robotics and autonomous systems, data security and privacy.
Intelligent Data Communication Technologies and Internet of Things: ICICI 2019 (Lecture Notes on Data Engineering and Communications Technologies #38)
by D. Jude Hemanth Subarna Shakya Zubair BaigThis book focuses on the emerging advances in distributed communication systems, big data, intelligent computing and Internet of Things, presenting state-of-the-art research in frameworks, algorithms, methodologies, techniques and applications associated with data engineering and wireless distributed communication technologies. In addition, it discusses potential topics like performance analysis, wireless communication networks, data security and privacy, human computer interaction, 5G Networks, and smart automated systems, which will provide insights for the evolving data communication technologies. In a nutshell, this proceedings book compiles novel and high-quality research that offers innovative solutions for communications in IoT networks.
Computational Vision and Bio Inspired Computing
by D. Jude Hemanth S. SmysThis is the proceedings of the International Conference On Computational Vision and Bio Inspired Computing (ICCVBIC 2017) held at RVS Technical Campus, September 21-22, 2017. It includes papers on state of the art innovations in bio-inspired computing applications, where new algorithms and results are produced and described. Additionally, this volume addresses evolutionary computation paradigms, artificial neural networks and biocomputing. It focuses mainly on research based on visual interference on the basis of biological images. Computation of data sources also plays a major role in routine day-to-day life for the purposes such as video transmission, wireless applications, fingerprint recognition and processing, big data intelligence, automation, human centric recognition systems. With the advantage of processing bio-inspired computations, a variety of computational paradigms can be processed. Finally, this book also treats the formation of neural networks by enabling local connectivity within it with the aid of vision sensing elements. The work also provides potential directions for future research.
Emerging Trends in Computing and Expert Technology (Lecture Notes on Data Engineering and Communications Technologies #35)
by D. Jude Hemanth V. D. Ambeth Kumar S. Malathi Oscar Castillo Bogdan PatrutThis book presents high-quality research papers that demonstrate how emerging technologies in the field of intelligent systems can be used to effectively meet global needs. The respective papers highlight a wealth of innovations and experimental results, while also addressing proven IT governance, standards and practices, and new designs and tools that facilitate rapid information flows to the user. The book is divided into five major sections, namely: “Advances in High Performance Computing”, “Advances in Machine and Deep Learning”, “Advances in Networking and Communication”, “Advances in Circuits and Systems in Computing” and “Advances in Control and Soft Computing”.
Artificial Intelligence Techniques for Advanced Computing Applications: Proceedings of ICACT 2020 (Lecture Notes in Networks and Systems #130)
by D. Jude Hemanth G. Vadivu M. Sangeetha Valentina Emilia BalasThis book features a collection of high-quality research papers presented at the International Conference on Advanced Computing Technology (ICACT 2020), held at the SRM Institute of Science and Technology, Chennai, India, on 23–24 January 2020. It covers the areas of computational intelligence, artificial intelligence, machine learning, deep learning, big data, and applications of artificial intelligence in networking, IoT and bioinformatics
4th International Conference on Artificial Intelligence and Applied Mathematics in Engineering: ICAIAME 2022 (Engineering Cyber-Physical Systems and Critical Infrastructures #7)
by D. Jude Hemanth Tuncay Yigit Utku Kose Ugur GuvencAs general, this book is a collection of the most recent, quality research papers regarding applications of Artificial Intelligence and Applied Mathematics for engineering problems. The papers included in the book were accepted and presented in the 4th International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2022), which was held in Baku, Azerbaijan (Azerbaijan Technical University) between May 20 and 22, 2022. Objective of the book content is to inform the international audience about the cutting-edge, effective developments and improvements in different engineering fields. As a collection of the ICAIAME 2022 event, the book gives consideration for the results by especially intelligent system formations and the associated applications. The target audience of the book is international researchers, degree students, practitioners from industry, and experts from different engineering disciplines.
Nature Inspired Optimization Techniques for Image Processing Applications (Intelligent Systems Reference Library #150)
by Jude Hemanth Valentina Emilia BalasThis book provides a platform for exploring nature-inspired optimization techniques in the context of imaging applications. Optimization has become part and parcel of all computational vision applications, and since the amount of data used in these applications is vast, the need for optimization techniques has increased exponentially. These accuracy and complexity are a major area of concern when it comes to practical applications. However, these optimization techniques have not yet been fully explored in the context of imaging applications. By presenting interdisciplinary concepts, ranging from optimization to image processing, the book appeals to a broad readership, while also encouraging budding engineers to pursue and employ innovative nature-inspired techniques for image processing applications.