Proceedings of the International Conference on Digital Transformation in Business PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Proceedings of the International Conference on Digital Transformation in Business PDF full book. Access full book title Proceedings of the International Conference on Digital Transformation in Business by N. V. Suresh. Download full books in PDF and EPUB format.
Author: N. V. Suresh
Publisher: Springer Nature
ISBN: 9464634332
Category : Electronic books
Languages : en
Pages : 651
Get Book Here
Book Description
Author: N. V. Suresh
Publisher: Springer Nature
ISBN: 9464634332
Category : Electronic books
Languages : en
Pages : 651
Get Book Here
Book Description
Author: Faisal Saeed
Publisher: Springer Nature
ISBN: 3031597117
Category :
Languages : en
Pages : 355
Get Book Here
Book Description
Author: Kohei Arai
Publisher: Springer Nature
ISBN: 3031663292
Category :
Languages : en
Pages : 727
Get Book Here
Book Description
Author: Takale, Dattatray
Publisher: IGI Global
ISBN:
Category : Medical
Languages : en
Pages : 528
Get Book Here
Book Description
In the ever-evolving landscape of maternal healthcare, expectant mothers face a myriad of challenges, from pregnancy complications to postpartum care. Traditional approaches often fail to provide timely and personalized interventions, leading to suboptimal outcomes for both mother and child. The lack of practical tools and strategies to address these complexities underscores the pressing need for innovative solutions that can revolutionize maternal care. Modernizing Maternal Care With Digital Technologies leads the way, offering a comprehensive solution that harnesses the power of modern technology and soft computing techniques to foster environments that improve maternal patient outcomes. This pioneering book delves into the transformative role of artificial intelligence (AI), data analytics, and wearable devices in reshaping maternal care. The book presents a paradigm shift in how expectant mothers can be supported throughout their pregnancy journey by highlighting the significance of predictive modeling and real-time monitoring.
Author: Bharat S Chaudhari
Publisher: Elsevier
ISBN: 0443222037
Category : Computers
Languages : en
Pages : 520
Get Book Here
Book Description
Recently, Tiny Machine Learning (TinyML) has gained incredible importance due to its capabilities of creating lightweight machine learning (ML) frameworks aiming at low latency, lower energy consumption, lower bandwidth requirement, improved data security and privacy, and other performance necessities. As billions of battery-operated embedded IoT and low power wide area networks (LPWAN) nodes with very low on-board memory and computational capabilities are getting connected to the Internet each year, there is a critical need to have a special computational framework like TinyML. TinyML for Edge Intelligence in IoT and LPWAN Networks presents the evolution, developments, and advances in TinyML as applied to IoT and LPWANs. It starts by providing the foundations of IoT/LPWANs, low power embedded systems and hardware, the role of artificial intelligence and machine learning in communication networks in general and cloud/edge intelligence. It then presents the concepts, methods, algorithms and tools of TinyML. Practical applications of the use of TinyML are given from health and industrial fields which provide practical guidance on the design of applications and the selection of appropriate technologies. TinyML for Edge Intelligence in IoT and LPWAN Networks is highly suitable for academic researchers and professional system engineers, architects, designers, testers, deployment engineers seeking to design ultra-lower power and time-critical applications. It would also help in designing the networks for emerging and future applications for resource-constrained nodes. - This book provides one-stop solutions for emerging TinyML for IoT and LPWAN applications. - The principles and methods of TinyML are explained, with a focus on how it can be used for IoT, LPWANs, and 5G applications. - Applications from the healthcare and industrial sectors are presented. - Guidance on the design of applications and the selection of appropriate technologies is provided.
Author: Hassan, Jahan
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 425
Get Book Here
Book Description
Applications of Machine Learning in UAV Networks presents a pioneering exploration into the symbiotic relationship between machine learning techniques and UAVs. In an age where UAVs are revolutionizing sectors as diverse as agriculture, environmental preservation, security, and disaster response, this meticulously crafted volume offers an analysis of the manifold ways machine learning drives advancements in UAV network efficiency and efficacy. This book navigates through an expansive array of domains, each demarcating a pivotal application of machine learning in UAV networks. From the precision realm of agriculture and its dynamic role in yield prediction to the ecological sensitivity of biodiversity monitoring and habitat restoration, the contours of each domain are vividly etched. These explorations are not limited to the terrestrial sphere; rather, they extend to the pivotal aerial missions of wildlife conservation, forest fire monitoring, and security enhancement, where UAVs adorned with machine learning algorithms wield an instrumental role. Scholars and practitioners from fields as diverse as machine learning, UAV technology, robotics, and IoT networks will find themselves immersed in a confluence of interdisciplinary expertise. The book's pages cater equally to professionals entrenched in agriculture, environmental studies, disaster management, and beyond.
Author: Ahmed, Zeinab E.
Publisher: IGI Global
ISBN:
Category : Education
Languages : en
Pages : 426
Get Book Here
Book Description
The digital age has ushered in an era where students must be equipped not only with traditional knowledge but also with the skills to navigate an increasingly interconnected and technologically driven world. As traditional teaching methods encounter the complexities of the 21st century, the demand for innovation becomes more apparent. This paves the way for the era of artificial intelligence (AI), a technological frontier that carries the potential to reshape education fundamentally. AI-Enhanced Teaching Methods recognizes the urgency of the ongoing technological shift and delves into an exploration of how AI can be effectively harnessed to redefine the learning experience. The book serves as a guide for educators, offering insights into navigating between conventional teaching methodologies and the possibilities presented by AI. It provides an understanding of AI's role in education, covering topics from machine learning to natural language processing. Ethical considerations, including privacy and bias, are thoroughly addressed with thoughtful solutions as well. Additionally, the book provides valuable support for administrators, aiding in the integration of these technologies into existing curricula.
Author: Irfan, Mohammad
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 426
Get Book Here
Book Description
In the evolving landscape of finance, traditional institutions grapple with challenges ranging from outdated processes to limited accessibility, hindering the industry's ability to meet the diverse needs of a modern, digital-first society. Moreover, as the world embraces Decentralized Finance (DeFi) and Artificial Intelligence (AI) technologies, there becomes a need to bridge the gap between innovation and traditional financial systems. This disconnect not only impedes progress but also limits the potential for financial inclusion and sustainable growth. AI-Driven Decentralized Finance and the Future of Finance addresses the complexities and challenges currently facing the financial industry. By exploring the transformative potential of AI in decentralized finance, this book offers a roadmap for navigating the convergence of technology and finance. From optimizing smart contracts to enhancing security and personalizing financial experiences, the book provides practical insights and real-world examples that empower professionals to leverage AI-driven strategies effectively.
Author: Christiansen, Bryan
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 554
Get Book Here
Book Description
Studies have indicated that employers across the globe face difficulties in filling critical roles, sparking a worldwide "war for talent." This talent war, once a temporary market condition, has now solidified into the "New Normal." Leaders recognize that success in this era demands the construction of optimal teams for strategic competitive advantage amid global uncertainty and hypercompetition. As explored in detail within the pages of Global Practices on Effective Talent Acquisition and Retention, this book serves as an indispensable guide for scholars and practitioners navigating the intricacies of talent management in the current global scenario. This project aspires to create a comprehensive reference material delving into diverse aspects of current global talent realities. It aims to provide scholars and practitioners with recent empirical, practical, and theoretical research on talent acquisition and retention practices worldwide. The emphasis is on sustainable practices that drive organizational success across multiple industries. The impact of this publication will resonate in both application and the direction of future research.
Author: Joceli Mayer
Publisher: BoD – Books on Demand
ISBN: 0854669027
Category : Computers
Languages : en
Pages : 162
Get Book Here
Book Description
This book provides a selection of chapters on the subject of steganography. Steganography is the practice of undetectably altering a digital work to embed a message. The undetectability of the message in the altered work is an essential property of steganography, whereas the required alterations in the work may be perceived as long as the hidden information is undetectable and therefore also undecipherable by non-authorized parties. The design of a steganographic algorithm concerns the properties of the communication medium or channel; the cover work, usually in digital format; and the functions of embedding and decoding the message. As cybersecurity becomes increasingly essential to communications worldwide, hidden or undetectable communication provided by enhanced steganography techniques enables the secure information sharing required by many applications. For business, governmental, or personal sharing of information via communication networks, countermeasures need to be taken to ensure that a third party is unable to detect the existence of a message embedded in the work and to avoid even attempts at decoding the information without the authorization of the sender. The property of undetectability of steganography along with cryptographic techniques has derived secure information schemes in the literature and has been applied in practice. The issues and properties of steganography have been investigated by scientists and practitioners in order to evolve techniques to improve security while sharing information on the open network. This book offers chapters on steganography ranging from definitions to the basics issues and properties, scientific research on diverse techniques, applications for a variety of areas (cybersecurity, military or defense, law enforcement, healthcare, financial services, etc.), and discussions on future applications and current research on the topic.
