Joseph Andrews / Henry Fielding ; introduction by George Saintsbury

• Record Nr.: UNISALENTO991003208249707536
• Autore: Fielding, Henry
• Pubbl/distr/stampa: London : Dent, 1957
• Descrizione fisica: XXIV, 280 p. ; 18 cm.
• Collana: Everyman's library ; 467
• Altri autori (Persone): Saintsbury, George
• Disciplina: 823.6
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia

Highway and transit investments [[electronic resource] ] : flexible funding supports state and local transportation priorities and multimodal planning : report to congressional committees

• Record Nr.: UNINA9910696138503321
• Pubbl/distr/stampa: [Washington, D.C.] : , : U.S. Govt. Accountability Office, , [2007]
• Descrizione fisica: ii, 39 pages : digital, PDF file
• Soggetti: Local transit - United States - Finance; Local transit - United States - Planning; Federal aid to transportation - United States
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Title from title screen (viewed on Sept. 20, 2007).; "July 2007."; Paper version available from: U.S. Govt. Accountability Office, 441 G St., NW, Rm. LM, Washington, D.C. 20548.; "GAO-07-772."
• Nota di bibliografia: Includes bibliographical references.

Making Freud more Freudian / / Arnold Rothstein

• Record Nr.: UNINA9910785256203321
• Autore: Rothstein Arnold <1936->
• Pubbl/distr/stampa: London : , : Routledge, , 2018
• ISBN: 0-429-91598-5; 0-429-90175-5; 0-429-47698-1; 1-282-78009-3; 9786612780097; 1-84940-859-9
• Edizione: [1st]
• Descrizione fisica: 1 online resource (180 p.)
• Disciplina: 150.19/52; 150.1952
• Soggetti: Psychoanalytic interpretation; Compromise formation; Psychoanalysis
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Table of Contents; Cover; Copyright; ABOUT THE AUTHOR; Introduction; PART I; CHAPTER ONE: Making Freud more Freudian: a reading; CHAPTER TWO: Narcissism; CHAPTER THREE: Sadomasochism; CHAPTER FOUR: Shame and guilt; PART II; CHAPTER FIVE: The seduction of money; CHAPTER SIX: On beginning analysis with patients who are reluctant to pay the analyst's fee; CHAPTER SEVEN: On diagnosing; CHAPTER EIGHT: The failure of an illusion; Conclusion; References
• Sommario/riassunto: This book demonstrates the clinical value of ""making Freud more Freudian"". The theoretical contributions of Charles Brenner are summarized and emphasized. They are built on an elaboration of Arlow's ""fantasy function"" and Freud's ""compromise formation"". The author applies this theoretical perspective in elaboration of the concepts of narcissism, masochism, shame and guilt to the distinction ; between psychiatric and psychoanalytic diagnoses, as well as to a variety of specific clinical topics. Finally, the author emphasizes that the ubiquity of unconscious conflict demonstrates that all pe

18;2.: Écrits politiques : reazione, libertà, fascismo, 1896-1923 / Vilfredo Pareto ; textes réunis avec une introduction par Giovanni Busino

• Record Nr.: UNINA990003065110403321
• Autore: Pareto, Vilfredo <1848-1923>
• Pubbl/distr/stampa: Genève, : Libr. Droz, 1974
• Collana: Travaux de droit, d'économie, de sociologie et de sciences politiques ; 98
• Locazione: SES; DECTS; FLFBC
• Collocazione: A/70 PAR; A01.11/1; 301.094 PARE 22 (2)
• Lingua di pubblicazione: Francese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia

Machine Learning for Cyber Physical Systems : Selected papers from the International Conference ML4CPS 2020 / / edited by Jürgen Beyerer, Alexander Maier, Oliver Niggemann

• Record Nr.: UNINA9910433248603321
• Autore: Beyerer Jürgen
• Pubbl/distr/stampa: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 2021
• ISBN: 3-662-62746-9
• Edizione: [1st ed. 2021.]
• Descrizione fisica: 1 online resource (VII, 130 p. 42 illus., 25 illus. in color.)
• Collana: Technologien für die intelligente Automation, Technologies for Intelligent Automation, , 2522-8587 ; ; 13
• Classificazione: COM043000TEC007000TEC041000
• Disciplina: 621.38
• Soggetti: Cooperating objects (Computer systems); Telecommunication; Computer engineering; Computer networks; Cyber-Physical Systems; Communications Engineering, Networks; Computer Engineering and Networks
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Preface -- Energy Profile Prediction of Milling Processes Using Machine Learning Techniques -- Improvement of the prediction quality of electrical load profiles with artficial neural networks -- Detection and localization of an underwater docking station -- Deployment architecture for the local delivery of ML-Models to the industrial shop floor -- Deep Learning in Resource and Data Constrained Edge Computing Systems -- Prediction of Batch Processes Runtime Applying Dynamic Time Warping and Survival Analysis -- Proposal for requirements on industrial AI solutions -- Information modeling and knowledge extraction for machine learning applications in industrial production systems -- Explanation Framework for Intrusion Detection -- Automatic Generation of Improvement Suggestions for Legacy, PLC Controlled Manufacturing Equipment Utilizing Machine Learning -- Hardening Deep Neural Networks in Condition Monitoring Systems ; against Adversarial ExampleAttacks -- First Approaches to Automatically Diagnose and Reconfigure Hybrid Cyber-Physical Systems -- Machine learning for reconstruction of highly porous structures from FIB-SEM nano-tomographic data.
• Sommario/riassunto: This open access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains selected papers from the fifth international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Berlin, March 12-13, 2020. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments. The Editors Prof. Dr.-Ing. Jürgen Beyerer is Professor at the Department for Interactive Real-Time Systems at the Karlsruhe Institute of Technology. In addition he manages the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB. Dr. Alexander Maier is head of group Machine Learning at Fraunhofer IOSB-INA. His focus is on the development of algorithms for big data applications in Cyber-Physical Systems (diagnostics, optimization, predictive maintenance) and the transfer of research results to industry. Prof. Oliver Niggemann got his doctorate in 2001 at the University of Paderborn with the topic "Visual Data Mining of Graph-Based Data". He then worked for almost 8 years in leading positions in the industry. From 2008-2019 he held a professorship at the Institute for Industrial Information Technologies (inIT) in Lemgo/Germany. Until 2019 Prof. Niggemann was also deputy head of the Fraunhofer IOSB-INA, which works in industrial automation. On April 1, 2019 Prof. Niggemann took over the university professorship "Computer Science in Mechanical Engineering" at the Helmut-Schmidt-University in Hamburg / Germany. There he does research at the Institute for Automation Technology IfA in the field of artificial intelligence and machine learning for cyber-physical systems.