Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 3659677892 ISBN 13: 9783659677892
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Lingua: Inglese
Editore: LAP Lambert Academic Publishing 2020-07, 2020
ISBN 10: 3659677892 ISBN 13: 9783659677892
Da: Chiron Media, Wallingford, Regno Unito
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Lingua: Inglese
Editore: Bentham Science Publishers, 2022
ISBN 10: 9815079204 ISBN 13: 9789815079203
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Lingua: Inglese
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Lingua: Inglese
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Lingua: Inglese
Editore: Bentham Science Publishers 2022-11, 2022
ISBN 10: 9815079204 ISBN 13: 9789815079203
Da: Chiron Media, Wallingford, Regno Unito
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ISBN 10: 9815079204 ISBN 13: 9789815079203
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Lingua: Inglese
Editore: Bentham Science Publishers, 2022
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Lingua: Inglese
Editore: Amazon Digital Services LLC - Kdp, 2022
ISBN 10: 9815079204 ISBN 13: 9789815079203
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 96,29
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - This book is a quick review of machine learning methods for engineeringapplications. It provides an introduction to the principles of machine learningand common algorithms in the first section. Proceeding chapters summarize andanalyze the existing scholarly work and discuss some general issues in this field.Next, it offers some guidelines on applying machine learning methods to softwareengineering tasks. Finally, it gives an outlook into some of the futuredevelopments and possibly new research areas of machine learning and artificialintelligence in general.Techniques highlighted in the book include: Bayesian models, supportvector machines, decision tree induction, regression analysis, and recurrent andconvolutional neural network. Finally, it also intends to be a reference book. Key Features: Describes real-world problems that can be solved using machine learningExplains methods for directly applying machine learning techniques to concrete real-world problemsExplains concepts used in Industry 4.0 platforms, including the use and integration of AI, ML, Big Data, NLP, and the Internet of Things (IoT). It does not require prior knowledge of the machine learning This book is meantto be an introduction to artificial intelligence (AI), machine earning, and itsapplications in Industry 4.0. It explains the basic mathematical principlesbut is intended to be understandable for readers who do not have a backgroundin advanced mathematics.
Lingua: Inglese
Editore: Bentham Science Publishers, 2022
ISBN 10: 9815079204 ISBN 13: 9789815079203
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 190,41
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Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 3659677892 ISBN 13: 9783659677892
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Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 3659677892 ISBN 13: 9783659677892
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Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Jul 2020, 2020
ISBN 10: 3659677892 ISBN 13: 9783659677892
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 54,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -With the rapid development of computer networks the daily work of all trades is more and more dependent on computers. As a result, high-tech crimes, commercial fraud and other phenomena involving computers occur more frequently. So people pay more and more attention to digital forensics. Digital forensics are concerned with the use of digital information (image or document file) as source of evidence in investigations and legal proceedings. This project focuses on the analysis part of digital forensics. Analysis concerned to reconstruct digital evidence and draw conclusions based on the evidence found. This project applies fuzzy c-means clustering based on swarm intelligence to digital forensics. The aim of clustering is to partition set of data into clusters. A drawback of clustering is that it easily traps into local minima. To overcome this problem, swarm intelligence is used. Swarm Intelligence is an evolutionary, nature inspired computer technique of global search strategy. 104 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 3659677892 ISBN 13: 9783659677892
Da: moluna, Greven, Germania
EUR 45,45
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Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bartere MahipMahip Bartere is currently working as an Assistant Professor in G.H.Raisoni College of Engineering & Management, Amravati. He has published 40 papers in different international journals.With the rapid development of .
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Jul 2020, 2020
ISBN 10: 3659677892 ISBN 13: 9783659677892
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 54,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -With the rapid development of computer networks the daily work of all trades is more and more dependent on computers. As a result, high-tech crimes, commercial fraud and other phenomena involving computers occur more frequently. So people pay more and more attention to digital forensics. Digital forensics are concerned with the use of digital information (image or document file) as source of evidence in investigations and legal proceedings. This project focuses on the analysis part of digital forensics. Analysis concerned to reconstruct digital evidence and draw conclusions based on the evidence found. This project applies fuzzy c-means clustering based on swarm intelligence to digital forensics. The aim of clustering is to partition set of data into clusters. A drawback of clustering is that it easily traps into local minima. To overcome this problem, swarm intelligence is used. Swarm Intelligence is an evolutionary, nature inspired computer technique of global search strategy.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 3659677892 ISBN 13: 9783659677892
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 54,90
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - With the rapid development of computer networks the daily work of all trades is more and more dependent on computers. As a result, high-tech crimes, commercial fraud and other phenomena involving computers occur more frequently. So people pay more and more attention to digital forensics. Digital forensics are concerned with the use of digital information (image or document file) as source of evidence in investigations and legal proceedings. This project focuses on the analysis part of digital forensics. Analysis concerned to reconstruct digital evidence and draw conclusions based on the evidence found. This project applies fuzzy c-means clustering based on swarm intelligence to digital forensics. The aim of clustering is to partition set of data into clusters. A drawback of clustering is that it easily traps into local minima. To overcome this problem, swarm intelligence is used. Swarm Intelligence is an evolutionary, nature inspired computer technique of global search strategy.