UID:
almahu_9949420165402882
Format:
XVI, 846 p. 399 illus., 282 illus. in color.
,
online resource.
Edition:
1st ed. 2023.
ISBN:
9789811935718
Series Statement:
Smart Innovation, Systems and Technologies, 311
Content:
This book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining and software analysis. It presents the outcomes of the Sixth International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2022), held in Ahmedabad, India. The book is divided into two volumes. It discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.
Note:
Review of Different ML Techniques Used for Heart Disease Prediction -- Image Enhancement by various Segmentation Techniques using Machine Learning -- Sequence to Sequence Video Captioning System -- Stock Price Prediction Using Sentiment Analysis on News Headlines -- A Robust Framework for Governing Blockchain-based Distributed Ledgers during Covid-19 for Academic Establishments -- Cyber Security and it's Prediction with Cloud Data Computing and IoT -- A Review on Societal Application of Data Analytics -- Study of Security in Cryptocurrency -- Study And Analysis of Network Steganography Methods -- Survey On Driver Fatigue Detection Using Sensors,Big Data Analytics and Machine Learning Techniques -- On Characteristics of κ-Q- Fuzzy Translation and Fuzzy Multiplication in T-Ideals in T-Algebra -- Blockchain driven Smart Healthcare System: Challenges, Technologies and Future Research -- A Future to the Blockchain Technology and Its Concepts -- Impacts of DDoS attacks in Software Defined Networks -- IoT based Agriculture Trend prediction based on Weather Data -- EEG in Optic Nerves Disorder Based on FSVM using Kernel Membership Function -- DDoS DETECTION in ONOS SDN CONTROLLER USING SNORT -- Classification of Keratoconus using Corneal Topography Pattern with Transfer Learning Approach.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9789811935701
Additional Edition:
Printed edition: ISBN 9789811935725
Additional Edition:
Printed edition: ISBN 9789811935732
Language:
English
DOI:
10.1007/978-981-19-3571-8
URL:
https://doi.org/10.1007/978-981-19-3571-8
URL:
Volltext
(URL des Erstveröffentlichers)
