{"title":"Sustainable Artificial Intelligence-Powered Applications","description":"\u003cp\u003eBücher aus der Reihe: Sustainable Artificial Intelligence-Powered Applications\u003c\/p\u003e","products":[{"product_id":"quantum-ai-powered-and-hpc-applications-for-sustainable-environment-and-climate-ebook","title":"Quantum AI-Powered and HPC Applications for Sustainable Environment and Climate Change","description":"\u003cp\u003eThis book ‘Quantum AI-powered and HPC applications for sustainable environment and climate change’ offers an in-depth exploration of how Quantum Artificial Intelligence (AI) -powered and High-Performance Computing (HPC) based technologies can revolutionize our approach to environmental sustainability and climate change mitigation. Through a comprehensive analysis, the book delves into the urgent climate challenges of our era, showcasing the transformative potential of cutting-edge technologies to address these issues effectively.\u003c\/p\u003e\n\n\u003cp\u003eThe fundamental chapters provide a foundational understanding of the pressing environmental challenges of the 21st century and the transformative potential of quantum AI-powered and HPC. These chapters explore the power of environmental data analysis, the importance of balancing data security and privacy, and the advancements in federated learning for climate and environmental science. Additionally, they introduce the principles of quantum computing and its revolutionary applications in solving complex environmental problems.\u003c\/p\u003e\n\n\u003cp\u003eThe subsequent chapters provide detailed insights into specific applications of quantum AI-powered and HPC in environmental science. Topics include quantum image recognition for precise Earth observation, advancements in extreme weather forecasting, and quantum-enhanced sensing technologies for detecting environmental contaminants. These chapters also cover the optimization of natural resource management, advanced climate modeling powered by quantum computing and HPC, and the importance of explainable AI for building trust and transparency in environmental solutions.\u003c\/p\u003e\n\n\u003cp\u003eThe final chapters deal with the broader implications and future directions of quantum AI-powered and HPC applications in promoting environmental sustainability. They examine strategies for improving energy efficiency in quantum computing, ensuring data privacy and security in federated environmental systems, and leveraging quantum and HPC technologies for innovative renewable energy solutions. The book concludes with insights into building a resilient future by adapting to environmental changes and promoting sustainable development through advanced technologies. The book also delves with HPC applications that are useful for environmental sustainability and climate modelling.\u003c\/p\u003e\n\n\u003cp\u003eBy addressing these topics, this book aims to bridge the gap between current environmental challenges and the potential of advanced technologies to offer sustainable solutions. It is targeted at researchers, practitioners, policymakers, students, and industry professionals in the fields of environmental science, computer science, and quantum computing, as well as anyone interested in the intersection of technology and environmental sustainability.\u003c\/p\u003e","brand":"M. Karthiga","offers":[{"title":"Default Title","offer_id":53627991294279,"sku":"9783032151889","price":213.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/quantum-ai-powered-and-hpc-applications-for-sustai-ebook.webp?v=1775013574"},{"product_id":"computational-bioacoustic-artificial-intelligence-ebook","title":"Computational Bioacoustic Artificial Intelligence","description":"\u003cp\u003e\u003cspan data-olk-copy-source=\"MessageBody\"\u003eThis book deep dives into the theoretical background of bioacoustics, signal processing techniques, feature extraction and pattern recognition algorithms, and technically advanced case studies in bioacoustics AI. By exploring the intricate characteristics of bioacoustic signals, this book offers a comprehensive understanding of the underlying principles and practical implementations. The fundamental chapters provide readers the basics by discussing the statistical and deterministic models of bioacoustic signals, including parametric and non-parametric approaches, time-frequency representations, and stochastic processes. Furthermore, this book delves into the complexities of bioacoustic signal generation and propagation, considering physiological factors, acoustic media, and signal degradation. The feature engineering methodology upon the complex and noisy sound data is understood and explored using advanced signal processing techniques, such as wavelet transforms, matching pursuit, higher-order statistics, and fractal analysis. The subsequent chapters focus on feature engineering and pattern recognition. The feature extraction methods under subject of discussion include time-domain, frequency-domain, and time-frequency features, as well as statistical and structural features. The advanced techniques related to deep learning such as convolutional neural networks and recurrent neural networks are also explored. Traditional classification techniques, including statistical pattern recognition and syntactic pattern recognition, are covered, followed by a deep dive into the application of deep learning for bioacoustic classification. The later chapters detail on the futuristic topics such as bioacoustic localization, source separation, change detection, and monitoring. The bioacoustic data collected with other sensor modalities are significant in the development of bioacoustic indices. This book leads the assessment techniques to determine the quality of ecosystem and its performance. Furthermore, the application of bioacoustic AI in man-machine interaction is examined.\u003c\/span\u003e\u003c\/p\u003e","brand":"Karthika Subbaraj","offers":[{"title":"Default Title","offer_id":53628202123591,"sku":"9783032060884","price":213.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computational-bioacoustic-artificial-intelligence-ebook.webp?v=1775149493"}],"url":"https:\/\/www.cinebuch.de\/collections\/sustainable-artificial-intelligence-powered-applications.oembed","provider":"CineBuch","version":"1.0","type":"link"}