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[null,"1.","Record Nr.",null,"UNINA9910154858903321"]
[null,null,"Autore",null,"Lacerda Daniel (Yoga teacher)"]
[null,null,"Titolo",null,"2,100 Asanas : the complete yoga poses / / Daniel Lacerda"]
[null,null,"Pubbl/distr/stampa",null,"New York, New York : , : Black Dog & Leventhal Publishers, , [2015]"]
[{"$nulls":4},"©2015"]
[null,null,"ISBN",null,"0-316-27062-8"]
[{"$nulls":4},"0-316-43239-3"]
[null,null,"Edizione",null,"[First edition.]"]
[null,null,"Descrizione fisica",null,"1 online resource (736 pages) : illustrations"]
[null,null,"Classificazione",null,"HEA025000HEA007000"]
[null,null,"Disciplina",null,"613.7/046"]
[null,null,"Soggetti",null,"Exercise"]
[{"$nulls":4},"Hatha yoga"]
[{"$nulls":4},"Yoga"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Includes index."]
[null,null,null,"Sommario/riassunto","\"The most complete collection of yoga Asanas ever photographed, and the first-ever to categorize an astonishing 2,100 yoga poses. This beautifully designed book is a must-have for yogis of all levels and every practice. 2,100 Asanas is an unprecedented, meticulously crafted catalog of yoga poses and modifications. It is also a gorgeous work of art, showcasing the beauty and athleticism of the human form. Each photograph features an expert yogi performing the pose to perfection. The aesthetic is clean and modern. The book is organized into eight major types of poses-standing, seated, core, quadruped, backbends, inversions, prone, and supine-and further broken down by families of poses that progress from easiest to more challenging. Every pose is accompanied by the name of the pose in English and Sanskrit, a description of the modification, the Drishti point (eye gaze), the chakras affected and its benefits\"--"]
[null,"2.","Record Nr.",null,"UNINA9910483843603321"]
[null,null,"Titolo",null,"Blockchain Intelligence : Methods, Applications and Challenges / / edited by Zibin Zheng, Hong-Ning Dai, Jiajing Wu"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021"]
[null,null,"ISBN",null,"981-16-0127-5"]
[null,null,"Edizione",null,"[1st ed. 2021.]"]
[null,null,"Descrizione fisica",null,"1 online resource (170 pages)"]
[null,null,"Disciplina",null,"005.74"]
[null,null,"Soggetti",null,"Blockchains (Databases)"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Software engineering"]
[{"$nulls":4},"Blockchain"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Software Engineering"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Chapter 1 Overview of blockchain and smart contract -- Chapter 2 On-chain and Off-Chain Blockchain Data Collection -- Chapter 3 Analysis and Mining of Blockchain Transaction Network -- Chapter 4 Intelligence Driven Optimization of Smart Contracts -- Chapter 5 Misbehavior Detection on Blockchain Data -- Chapter 6 Market Analysis of Blockchain-based Cryptocurrencies -- Chapter 7 Open research problems."]
[null,null,null,"Sommario/riassunto","This book focuses on using artificial intelligence (AI) to improve blockchain ecosystems. Gathering the latest advances resulting from AI in blockchain data analytics, it also presents big data research on blockchain systems. Despite blockchain's merits of decentralisation, immutability, non-repudiation and traceability, the development of blockchain technology has faced a number of challenges, such as the difficulty of data analytics on encrypted blockchain data, poor scalability, software vulnerabilities, and the scarcity of appropriate incentive mechanisms. Combining AI with blockchain has the potential to overcome the limitations, and machine learning-based approaches may help to analyse blockchain data and to identify misbehaviours in "]
[{"$nulls":4},"blockchain. In addition, deep reinforcement learning methods can be used to improve the reliability of blockchain systems. This book focuses in the use of AI to improve blockchain systems and promote blockchain intelligence. It describes data extraction, exploration and analytics on representative blockchain systems such as Bitcoin and Ethereum. It also includes data analytics on smart contracts, misbehaviour detection on blockchain data, and market analysis of blockchain-based cryptocurrencies. As such, this book provides researchers and practitioners alike with valuable insights into big data analysis of blockchain data, AI-enabled blockchain systems, and applications driven by blockchain intelligence."]