Seema Sharma – författare

This book focuses on futuristic approaches and designs for real-time systems and applications, as well as the fundamental concepts of including advanced techniques and tools in models of data-driven blockchain ecosystems.The Data-Driven Blockchain Ecosystem: Fundamentals, Applications, and Emerging Technologies discusses how to implement and manage processes for releasing and delivering blockchain applications. It presents the core of blockchain technology, IoT-based and AI-based blockchain systems, and various manufacturing areas related to Industry 4.0. The book illustrates how to apply design principles to develop and manage blockchain networks, and also covers the role that cloud computing plays in blockchain applications.All major technologies involved in blockchain-embedded applications are included in this book, which makes it useful to engineering students, researchers, academicians, and professionals interested in the core of blockchain technology.

This book focuses on futuristic approaches and designs for real-time systems and applications, as well as the fundamental concepts of including advanced techniques and tools in models of data-driven blockchain ecosystems.The Data-Driven Blockchain Ecosystem: Fundamentals, Applications, and Emerging Technologies discusses how to implement and manage processes for releasing and delivering blockchain applications. It presents the core of blockchain technology, IoT-based and AI-based blockchain systems, and various manufacturing areas related to Industry 4.0. The book illustrates how to apply design principles to develop and manage blockchain networks, and also covers the role that cloud computing plays in blockchain applications.All major technologies involved in blockchain-embedded applications are included in this book, which makes it useful to engineering students, researchers, academicians, and professionals interested in the core of blockchain technology.

NATURE-INSPIRED ALGORITHMS AND APPLICATIONS The book’s unified approach of balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Inspired by the world around them, researchers are gathering information that can be developed for use in areas where certain practical applications of nature-inspired computation and machine learning can be applied. This book is designed to enhance the reader’s understanding of this process by portraying certain practical applications of nature-inspired algorithms (NIAs) specifically designed to solve complex real-world problems in data analytics and pattern recognition by means of domain-specific solutions. Since various NIAs and their multidisciplinary applications in the mechanical engineering and electrical engineering sectors; and in machine learning, image processing, data mining, and wireless networks are dealt with in detail in this book, it can act as a handy reference guide. Among the subjects of the 12 chapters are: A novel method based on TRIZ to map real-world problems to nature problemsApplications of cuckoo search algorithm for optimization problemsPerformance analysis of nature-inspired algorithms in breast cancer diagnosisNature-inspired computation in data miningHybrid bat-genetic algorithm–based novel optimal wavelet filter for compression of image dataEfficiency of finding best solutions through ant colony optimization techniquesApplications of hybridized algorithms and novel algorithms in the field of machine learning.Audience: Researchers and graduate students in mechanical engineering, electrical engineering, machine learning, image processing, data mining, and wireless networks will find this book very useful.

In this book, you will learn everything about nothing; this book is for the curious, the smart asses, and the conversation starters. And for everyone who needs more of nothing in daily life. Read Nothing in Here is an unscientific exploration of the meaning, function, history, and misuse of the word "nothing."

Get a deeper understanding of the brilliance and limitations of AI, our added human value on creativity and the future of work in the creative industry.The creative industry is rapidly evolving due to the rise of artificial intelligence. Some fear that the increase in machine-learning technologies could end human creativity. Seema Sharma, a renowned creative director at one of the world's largest independent communication agencies, believes the future of the creative industry lies in collaboration between human creators and machines. The book "The New Creatives," which Sharma co-authored with Artificial Intelligence, offers a ground-breaking exploration of the changes to come. The authors examine the skills, processes, and work ethics that AI will affect and discuss the emotional and economic value of creativity in this new landscape. They explore the potential disappearance of certain jobs, the changing dynamics of client relationships and discuss the currency of creativity in the age of AI. The book also sheds light on new roles emerging in the industry and elaborates on the new formats that will become necessary.