E-Book, Englisch, Band 726, 945 Seiten, eBook
Swaroop / Kansal / Fortino Proceedings of Fourth Doctoral Symposium on Computational Intelligence
1. Auflage 2023
ISBN: 978-981-99-3716-5
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
DoSCI 2023
E-Book, Englisch, Band 726, 945 Seiten, eBook
Reihe: Lecture Notes in Networks and Systems
ISBN: 978-981-99-3716-5
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
The Moderating Influence of Big Data Analytics Capabilities on the Relationship between Organizational Culture and Management Effectiveness at Higher Education Institutions in Sichuan, China.- Simulation Secure MQTT protocol based on TLS in IoT-Fog Computing Environment Ola.- Application analysis and research of electronic tags based on RFID technology in the construction of the New Academic Library for University System.- An Optimal Non- Integer Controller Based Virtual Inertia Support For Frequency Control in Hybrid Microgrid.- Alteration Approach for Data Cryptography Based on Grigorchuk’s Group Rules to Data Mining Objective with Cloud Computing.- Review of Deep-learning based User-identification by Typing Behavior.- COMPARISON OF DIFFERENT CLOUD COMPUTING PLATFORMS FOR DATA ANALYTICS.- Review on Depression Detection on social media using Machine Learning.- A Large Scale Multivariate Features Based Classification of Brain Hemorrhage Using Machine Learning Algorithms.- Mood Based Music Recommendation System using Supervised Learning: A Study.- Computational Models to Prove Security Protocols against Adversary.- Blockchain-Based Mechanism for Efficient and Secured Logistics Management.- CG-Transmission: A New Encrypted Transmission Method for the Data Middle Platform.- Blockchain Technology Based Framework for Anticounterfeiting and Traceability.- Blockchain-Based Mechanism for Secured Information Exchange in Digital Governance Systems.- A Study on Identification of Human using Palm Vein Recognition System.- Accident hotspot identification by Affinity propagation and compared with different clustering algorithm.




