Advances in Computing and Intelligent Systems

Advances in Computing and Intelligent Systems
-0 %
Der Artikel wird am Ende des Bestellprozesses zum Download zur Verfügung gestellt.
Proceedings of ICACM 2019
 eBook
Sofort lieferbar | Lieferzeit: Sofort lieferbar

Unser bisheriger Preis:ORGPRICE: 161,61 €

Jetzt 149,78 €* eBook

Artikel-Nr:
9789811502224
Veröffentl:
2020
Einband:
eBook
Seiten:
637
Autor:
Harish Sharma
Serie:
Algorithms for Intelligent Systems
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Beschreibung:

This book gathers selected papers presented at the International Conference on Advancements in Computing and Management (ICACM 2019). Discussing current research in the field of artificial intelligence and machine learning, cloud computing, recent trends in security, natural language processing and machine translation, parallel and distributed algorithms, as well as pattern recognition and analysis, it is a valuable resource for academics, practitioners in industry and decision-makers. 

This book gathers selected papers presented at the International Conference on Advancements in Computing and Management (ICACM 2019). Discussing current research in the field of artificial intelligence and machine learning, cloud computing, recent trends in security, natural language processing and machine translation, parallel and distributed algorithms, as well as pattern recognition and analysis, it is a valuable resource for academics, practitioners in industry and decision-makers.

 


Chapter 1. Intuitionistic Fuzzy Shannon Entropy Weight Based Multi Criteria Decision Model with TOPSIS to Analyse Security Risks and Select Online Transaction Method.- Chapter 2. Fermat Spiral Based Moth-Flame Optimization Algorithm for Object-Oriented Testing.- Chapter 3. A Comparative Study of Information Retrieval Using Machine Learning.- Chapter 4. Adaptive Background Subtraction Using Manual Approach for Static Images.- Chapter 5. Tweets Daily: Categorised News from Twitter.- Chapter 6. Compressing Meta Class Files through String Optimization.- Chapter 7. An Algorithm to Generate Largest Prime Number.- Chapter 8. Development of a Discretization Methodology for 2.5D Milling Toolpath optimization Using Genetic Algorithm.- Chapter 9. Machine Learning Based Prediction of PM 2.5 Pollution Level in Delhi.- Chapter 10. A Comparative Study of Load Balancing Algorithms in a Cloud Environment.- Chapter 11. Information Retrieval from Search Engine Using Particle Swarm Optimization.- Chapter12. Genetic Algorithm Based Multi Objective Optimization Framework to Solve Travelling Salesman Problem.- Chapter 13. Design of Optimal PID Controller for Varied System Using Teaching-Learning-Based Optimization.- Chapter 14. Innovative Review on Artificial Bee Colony Algorithm and it’s Variants.- Chapter 15. Multi Linear Regression Model to Predict Correlation between IT Graduate Attributes for Employability using R.

 

Kunden Rezensionen

Zu diesem Artikel ist noch keine Rezension vorhanden.
Helfen sie anderen Besuchern und verfassen Sie selbst eine Rezension.