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[null,"1.","Record Nr.",null,"UNINA9910734889203321"]
[null,null,"Autore",null,"Yu Jianglong"]
[null,null,"Titolo",null,"Time-Varying Formation Tracking Control for Nonlinear Swarm Systems / / by Jianglong Yu, Xiwang Dong, Zhang Ren"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023"]
[null,null,"ISBN",null,"981-9928-58-3"]
[null,null,"Edizione",null,"[1st ed. 2023.]"]
[null,null,"Descrizione fisica",null,"1 online resource (218 pages)"]
[null,null,"Disciplina",null,"629.8"]
[null,null,"Soggetti",null,"Automatic control"]
[{"$nulls":4},"Robotics"]
[{"$nulls":4},"Automation"]
[{"$nulls":4},"Computational intelligence"]
[{"$nulls":4},"Control, Robotics, Automation"]
[{"$nulls":4},"Computational Intelligence"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Introduction -- Preliminaries -- Time-varying formation tracking control for nonlinear swarm system with matched nonlinearity -- Time-varying formation tracking control for high-order strict-feedback nonlinear swarm system with a noncooperative leader -- Time-varying formation tracking control for high-order strict-feedback nonlinear swarm system with multiple leaders -- Time-varying formation tracking control for underactuated nonlinear swarm system."]
[null,null,null,"Sommario/riassunto","The book focuses on time-varying formation control approaches for practical nonlinear swarm systems. Time-varying formation control is the basic guarantee for performing other tasks of swarm systems, such as cooperative decision-making and cooperative detection. However, most practical swarm systems have nonlinear dynamic models. This book studies three typical models of practical nonlinear swarm systems, which represent most of the practical systems and construct the corresponding formation control structure. At the same time, the effects of disturbances, uncertain dynamics, random noise and unknown leader's input are considered and processed to improve the robustness and adaptability. The comprehensive and systematic treatment of practical nonlinear time-varying formation control issues is one of the major features of the book, which is particularly suited for readers who are interested to learn time-varying formation control "]
[{"$nulls":4},"solutions in nonlinear swarm systems. The book benefits researchers, engineers and graduate students in the fields of formation control, nonlinear control, robust control, etc."]
[null,"2.","Record Nr.",null,"UNINA9910869157203321"]
[null,null,"Autore",null,"Kumar Sunil"]
[null,null,"Titolo",null,"Python for Accounting and Finance : An Integrative Approach to Using Python for Research / / by Sunil Kumar"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Palgrave Macmillan, , 2024"]
[null,null,"ISBN",null,"9783031546808"]
[{"$nulls":4},"9783031546792"]
[null,null,"Edizione",null,"[1st ed. 2024.]"]
[null,null,"Descrizione fisica",null,"1 online resource (502 pages)"]
[null,null,"Disciplina",null,"332.072"]
[null,null,"Soggetti",null,"Financial engineering"]
[{"$nulls":4},"Python (Computer program language)"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Natural language processing (Computer science)"]
[{"$nulls":4},"Financial Engineering"]
[{"$nulls":4},"Python"]
[{"$nulls":4},"Machine Learning"]
[{"$nulls":4},"Natural Language Processing (NLP)"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Chapter 1: Introduction and Fundamentals -- Chapter 2: Data Acquisition and Cleaning -- Chapter 3: Exploratory Data Analysis and Visualization -- Chapter 4: Natural Language Processing and Text Analysis -- Chapter 5: Machine Learning and Predictive Analytics -- Chapter 6: Advanced Topics. ."]
[null,null,null,"Sommario/riassunto","This book is a comprehensive guide to the application of Python in accounting, finance, and other business disciplines. This book is more than a Python tutorial; it is an integrative approach to using Python for practical research in these fields. The book begins with an introduction to Python and its key libraries. It then covers real-world applications of Python, covering data acquisition, cleaning, exploratory data analysis, visualization, and advanced topics like natural language processing, machine learning, predictive analytics, and deep learning. What sets this book apart is its unique blend of theoretical knowledge and real-world examples, supplemented with ready-to-use code. It doesn't stop at the syntax; it shows how to apply Python to tackle actual analytical problems. The book uses case studies to illustrate how Python can "]
[{"$nulls":4},"enhance traditional research methods in accounting and finance, not only allowing the reader to gain a firm understanding of Python programming but also equipping them with the skills to apply Python to accounting, finance, and broader business research. Whether you are a PhD student, a professor, an industry professional, or a financial researcher, this book provides the key to unlocking the full potential of Python in research. Sunil Kumar, Ph.D., C.P.A., currently serves as an assistant professor of Accounting at the Mario J. Gabelli School of Business, Roger Williams University, USA. He is a seasoned academic with a diversified research portfolio. His innovative research approach is deeply rooted in the application of technology, distinguishing him in the academic field of accounting and finance. His command over Python and other advanced computational tools allows him to integrate complex technological processes into his research, enabling a nuanced and comprehensive understanding of accounting and finance phenomena. He is currently involved in several projects that use machine learning and deep learning approaches for predictive modeling in financial contexts, further emphasizing his commitment to leveraging technology in research."]