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Engineers have long been architects of progress, erecting massive buildings that touch the skies and designing technologies that redefine realms of known possibility. In this era of rapid change, keeping pace with innovation is the main challenge. Emerging Engineering Technologies and Industrial Applications is a comprehensive research book that delves deep into the heart of a relentless technological revolution within modern industry. From the limitless potential of the Internet of Things (IoT) to the cognitive wonders of Artificial Intelligence (AI), from the microscopic marvels of Nanotechnology to the precision and agility of Robotics, and from the revolutionary advancements in 3D Printi...
This book offers a comprehensive overview of Software-Defined Network (SDN) based ad-hoc network technologies and exploits recent developments in this domain, with a focus on emerging technologies in SDN based ad-hoc networks. The authors offer practical and innovative applications in Network Security, Smart Cities, e-health, and Intelligent Systems. This book also addresses several key issues in SDN energy-efficient systems, the Internet of Things, Big Data, Cloud Computing and Virtualization, Machine Learning, Deep Learning, and Cryptography. The book includes different ad hoc networks such as MANETs and VANETs, along with a focus on evaluating and comparing existing SDN-related research on various parameters. The book provides students, researchers, and practicing engineers with an expert guide to the fundamental concepts, challenges, architecture, applications, and state-of-the-art developments in the field.
A smart city utilizes ICT technologies to improve the working effectiveness, share various data with the citizens, and enhance political assistance and societal wellbeing. The fundamental needs of a smart and sustainable city are utilizing smart technology for enhancing municipal activities, expanding monetary development, and improving citizens’ standards of living. The Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities discusses new mathematical models in smart and sustainable cities using big data, visualization tools in mathematical modeling, machine learning-based mathematical modeling, and more. It further delves into privacy and ethics in data analysis. Covering topics such as deep learning, optimization-based data science, and smart city automation, this premier reference source is an excellent resource for mathematicians, statisticians, computer scientists, civil engineers, government officials, students and educators of higher education, librarians, researchers, and academicians.
This book features selected high-quality papers from the second International Conference on Mobile Radio Communications and 5G Networks (MRCN 2021), held at University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra, India, during 10–12 June 2021. The book features original papers by active researchers presented at the International Conference on Mobile Radio Communications and 5G Networks. It includes recent advances and upcoming technologies in the field of cellular systems, 2G/2.5G/3G/4G/5G and beyond, LTE, WiMAX, WMAN, and other emerging broadband wireless networks, WLAN, WPAN, and various home/personal networking technologies, pervasive and wearable computing and networking, small cells and femtocell networks, wireless mesh networks, vehicular wireless networks, cognitive radio networks and their applications, wireless multimedia networks, green wireless networks, standardization of emerging wireless technologies, power management and energy conservation techniques.
Sustainable development is a bigger issue than it has ever been before. The relationship between present needs and future imperatives defines our contemporary challenges, especially within the realms of societal aspirations, business enterprises, startups, and SMEs. The dynamic nature of today's entrepreneurial landscape, characterized by ceaseless challenges and constant change, underscores the urgency to align strategies with the imperatives of sustainable development. Sustainable Partnership and Investment Strategies for Startups and SMEs examines this issue and the intersection between sustainable development and the practical nuances of navigating the modern entrepreneurial landscape. T...
This text provides novel smart network systems, wireless telecommunications infrastructures, and computing capabilities to help healthcare systems using computing techniques like IoT, cloud computing, machine and deep learning Big Data along with smart wireless networks. It discusses important topics, including robotics manipulation and analysis in smart healthcare industries, smart telemedicine framework using machine learning and deep learning, role of UAV and drones in smart hospitals, virtual reality based on 5G/6G and augmented reality in healthcare systems, data privacy and security, nanomedicine, and cloud-based artificial intelligence in healthcare systems. The book: • Discusses in...
This book provides insights into IoT, its applications, and various implementation techniques. The authors first discuss the IoT design methodology to define the domain model. They then cover various connection methodologies used in IoT such as Ethernet, Wi-Fi, low powered wide area network (LPWAN), Bluetooth, RFID, cellular, and satellite, and more, along with their challenges. An example is made on the designing process using Arduino, which offers smart, connected, and secure elements; they also illustrate the integration of IoT with Blockchain, cloud, machine learning, big data, embedded software, sensors, etc. The book going on to cover the future of IoT in various sectors and how IoT will continue to be game-changing technology.
As wireless services rapidly expand, the inefficient use of limited spectrum resources poses a critical challenge. The conventional approach to spectrum allocation, based on fixed assignments, could be more effective in meeting the escalating demand for wireless devices and systems. Cognitive radio technology offers a transformative solution by reimagining the spectrum as a multidimensional space, enabling opportunistic access to underutilized bands. However, the field of cognitive radio is still in its early stages, needing more in-depth analyses and descriptions of crucial processes. Spectrum and Power Allocation in Cognitive Radio Systems addresses this pressing need by offering a comprehensive guide for academic scholars, researchers, and industry professionals. This book delves into cognitive radio technology's foundations, organization, and challenges, providing insights into dynamic spectrum access, networking protocols, hardware architecture, and emerging applications. It presents advanced topics such as spectrum sensing algorithms, cooperative spectrum sensing, and multi-user access, offering practical solutions to enhance spectrum efficiency.
The metaverse is opening new avenues of opportunities for product manufacturers as well as service providers; due to this, further study on the scope and challenges that the application of neuromarketing in virtual worlds faces across different disciplines and business segments is required. The immense growth potential currently untapped in the metaverse domain can be taken to a different level altogether with the help of neuromarketing applications. Applications of Neuromarketing in the Metaverse discusses brand positioning among the target market in the virtual world through the application of neuromarketing principles and techniques. The book also explores consumer behavior and decodes their physiological and psychological responses in the metaverse domain with the help of tools and technologies used in neuromarketing. Covering key topics such as media, virtual reality, and branding, this premier reference source is ideal for industry professionals, marketers, business owners, managers, researchers, academicians, scholars, practitioners, instructors, and students.
In manufacturing, entrenched challenges like costly maintenance, operational inefficiencies, and product defects loom large, casting shadows over industry progress. Despite the promise of Industry 4.0 and the proliferation of data-driven technologies, many enterprises need help to effectively harness the transformative power of artificial intelligence (AI). The gap between AI's potential and its practical application persists, hindering manufacturing companies from achieving optimal efficiency, competitiveness, and sustainability. Industry Applications of Thrust Manufacturing: Convergence with Real-Time Data and AI is a groundbreaking book meticulously crafted to address the pressing needs of academic scholars and industry professionals. Offering a nuanced exploration of AI's role in revolutionizing manufacturing, this book serves as a beacon of clarity amidst the complexities of modern industrial landscapes. Whether seeking to optimize operational workflows, mitigate risks, or unlock untapped opportunities, this definitive guide offers invaluable insights and actionable strategies to propel manufacturing enterprises into a future of innovation, efficiency, and sustainable growth.