Next Generation Computing and Information Systems

Proceedings of the 2nd International Conference on Next Generation Computing and Information Systems (ICNGCIS 2023), December 18-19, 2023, Jammu, J&K, India
1. Auflage 2024
ISBN: 978-1-032-73865-9
Verlag: Taylor & Francis

Buch, Englisch, 266 Seiten, Format (B × H): 174 mm x 246 mm, Gewicht: 640 g

The proceedings of the 2nd International Conference on Next-Generation Computing and Information Systems (ICNGCIS'23) includes research papers in diverse emerging domains such as AI, blockchain, web 3.0, metaverse and edge computing apart from traditional domains such as distributed computing and networks and cybersecurity.

The proceedings include papers addressing currently relevant research issues such as smart contract security, interoperability in the metaverse, AI applications in healthcare, agriculture and related domains. The proceedings encompass findings with real-world implications for the growth and evolution of modern computing and information systems by addressing various challenges related to their design, deployment, operational aspects, performance and shortcomings.

The intended audience for the proceedings of ICNGCIS'23 include researchers from industry and academia, practitioners, students, technology enthusiasts and even general audience looking to explore interesting applications, use-cases and fundamental issues in modern computing and information systems.

Zielgruppe

Academic, Postgraduate, and Professional Reference

Autoren/Hrsg.

Gupta, Ankur

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Sensorik
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Cloud-Computing, Grid-Computing

Inhaltsverzeichnis

Distributed-Computing based Versatile Healthcare Services Framework for Diagnostic markers

Time Series Analysis of Vegetation Change Using Remote Sensing, GIS and FB Prophet

Towards A Serverless Computing and Edge-Intelligence Architecture for the Personal-Internet-of-Things (PIoT)

Deep Learning-Based Cognitive Digital Twin System for Wrist Pulse Diagnostic and Classification

Predicting Asthma Control Test Score using Machine Learning Regression Models

Optimized Deep Learning Models Based-Sentiment Analysis Approach for Identifying Healthcare Rumors Over Social Media

Über Autor(innen)

Prof. Ankur Gupta is the Director at the Model Institute of Engineering and Technology, Jammu (India), besides being a Professor at the Dept. of Computer Science and Engineering. He has 25+ years of experience spanning industry and academia. Prior to joining MIET, he worked as a Team Leader at Hewlett-Packard, India at Bengaluru. He has 85 published research papers in international journals/conferences. Prof. Gupta holds B.E (Hons.) CS and MS degrees from BITS, Pilani and PhD from NIT, Hamirpur. He has 11 patents granted and 34 patents filed at the Indian Patents Office. He is the inventor of the Performance Insight 360, quality analytics framework for higher education which has received several accolades. He has received the DSFT-FIST Grant in 2012, first in the private sector in J&K and received competitive grants over Rs. 2.5 Crore from various funding agencies. He is a recipient of the AICTE Career Award, faculty awards from IBM, EMC and Rs. 2 crores in funding from Govt. agencies. He is also Senior member IEEE and ACM and founder of the International Journal of Next-Generation Computing. His research interests are in cloud computing, P2P networks, network management, artificial intelligence and metaverse.