KI-Beratung Beta

Gutscheinbedingungen

Gültig bis 11.11.2026 | Gültig für Spielzeug, Filme, Musik, Software, Games, Geschenke & Trends, Schreibwaren, Hörbücher und Hörbuch-Downloads (außer Abo & Shelfies), gebrauchte Bücher, nicht preisgebundene Bücher und Kalender | Einlösbar unter thalia.de und in der Thalia App | Click & Collect nur mit Online-Zahlung (Paypal/Kreditkarte) vorab | Einzelne Artikel können ausgeschlossen sein | Nicht kombinierbar mit anderen Gutscheinen oder Preisaktionen | Nur einmal pro Einkauf einlösbar | Gutschein wird auf max. 500€ Bestellwert angerechnet | Keine Barauszahlung | Digitale Hörbücher nur für Android  | Nicht gültig für preisgebundene Artikel (aufgrund der Buchpreisbindung sind Gutscheine nicht auf Bücher, eBooks, Presse einlösbar), tolino eReader & Zubehör, Abonnements & Flatrates, Geschenkkarten, Versandkosten und Services

  • Produktbild: Hybrid Computational Intelligence
  • Produktbild: Hybrid Computational Intelligence

Hybrid Computational Intelligence Challenges and Applications

149,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines,...

Beschreibung

Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book also explores the most widely used applications of hybrid computation as well as the history of their development.

Each individual methodology provides hybrid systems with complementary reasoning and searching methods which allow the use of domain knowledge and empirical data to solve complex problems.

Portrait

Siddhartha Bhattacharyya is a Senior Researcher in the Faculty of Electrical Engineering and Computer Science of VSB Technical University of Ostrava, Czech Republic. He is also serving as the Scientific Advisor of Algebra University College, Zagreb, Croatia. Prior to this, he served as the Principal of Rajnagar Mahavidyalaya, Rajnagar, Birbhum. He was a professor at CHRIST (Deemed to be University), Bangalore, India, and also served as the Principal of RCC Institute of Information Technology, Kolkata, India. He is the recipient of several coveted national and international awards. He received the Honorary Doctorate Award (D. Litt.) from the University of South America and the SEARCC International Digital Award ICT Educator of the Year in 2017. He was appointed as the ACM Distinguished Speaker for the tenure 2018-2020. He has been appointed as the IEEE Computer Society Distinguished Visitor for the tenure 2021-2023. He has co-authored six books, co-edited 75 books, and has more than 300 research publications in international journals and conference proceedings to his credit.Vaclav Snasel's research and development experience includes over 25 years in the Industry and Academia. He works in a multi-disciplinary environment involving artificial intelligence, multidimensional data indexing, conceptual lattice, information retrieval, semantic web, knowledge management, data compression, machine intelligence, neural network, web intelligence, data mining and applications to various real-world problems. He has authored/co-authored several refereed journal/conference papers and book chapters. In 2003 he became a visiting scientist in the Institute of Computer Science, Academy of Sciences of the Czech Republic. Since 2003 he has been vice-dean for Research and Science at Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Czech Republic. He has been a full professor since 2006. Before turning into a full time academic, he was working with industrial companies where he was involved in different industrial research and development projects for nearly 8 years. He received Ph.D. degree in Algebra and Geometry from Masaryk University, Brno, Czech Republic and a Master of Science degree from Palacky University, Olomouc, Czech Republic.

Dr. Aditya Khamparia has expertise in teaching, entrepreneurship, and research and development of 11 years. He is presently working as Assistant Professor in Babasaheb Bhimrao Ambedkar University, Satellite Centre, Amethi, India. He received his Ph.D. degree from Lovely Professional University, Punjab, India in May 2018. He has completed his M. Tech. from VIT University, Vellore, Tamil Nadu, India and B. Tech. from RGPV, Bhopal, Madhya Pradesh, India. He has completed his PDF from UNIFOR, Brazil. He has published around 105 research papers along with book chapters including more than 25 papers in SCI indexed Journals with cumulative impact factor of above 100 to his credit. Additionally, he has authored and edited eleven books. Furthermore, he has served the research field as a Keynote Speaker/Session Chair/Reviewer/TPC member/Guest Editor and many more positions in various conferences and journals. His research interest include machine learning, deep learning for biomedical health informatics, educational technologies, and computer vision.

Ashish Khanna is Professor in Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, New Delhi, India, and is also a Visiting Professor at the University of Valladolid, Spain. His research interests include distributed systems, MANET, FANET, VANET, Internet of Things, and machine learning.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

18.03.2020

Herausgeber Siddhartha Bhattacharyya + weitere
Verlag Elsevier Science & Technology

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

18.03.2020

Herausgeber
Verlag Elsevier Science & Technology
Seitenzahl

250

Maße (L/B/H)

22,9/15,2/1,3 cm

Gewicht

341 g

Sprache

Englisch

ISBN

978-0-12-818699-2

EU-Ansprechpartner

Elsevier B.V.
Radarweg 29
1043 NX Amsterdam
NL
productsafety@elsevier.com

Herstelleradresse

Elsevier Science & Technology
London Wall 125
EC2Y 5AS London
GB
tradeorders@elsevier.com

Ein neues Kapitel für Ihre Bücher

Ein neues Kapitel für Ihre Bücher

Schenken Sie Ihren alten Schätzen ein zweites Leben und erhalten Sie dafür eine Thalia Geschenkkarte.

Jetzt verkaufen
Jetzt verkaufen

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)

Die Leseprobe wird geladen.
  • Produktbild: Hybrid Computational Intelligence
  • Produktbild: Hybrid Computational Intelligence
  • 1. Application and Techniques of Opinion Mining
    2. Influence of Big Data in Smart Tourism
    3. Deep learning and its applications for Content-Based Video Retrieval
    4. A Computationally Intelligent agent for detecting fake news using Generative Adversarial networks (GANs)
    5. Detection of Primary Glaucoma using ANN with the help of Back Propagation algo in Bio-medical Image Processing
    6. Hybrid Computational Intelligence with Applications to BioMedical Image and HealthCare
    7. Application of Hybrid Computational Intelligence in Healthcare
    8. Utility System for premature plant disease detection using machine learning
    9. Artificial Intelligence-Based Computational Fluid Dynamics (CFD) Approaches
    10. Real-Time Video Segmentation using a Vague Adaptive Threshold