Volume 12, Number 19, November 2022
Computer Science & Technology
9th International Conference on Foundations of Computer Science & Technology (CST 2022)
November 12 ~ 13, 2022, Chennai, India
Volume Editors : David C. Wyld, Dhinaharan Nagamalai (Eds)
ISBN : 978-1-925953-79-4
Download full Proceedings
Generic and Accessible Gesture Controlled Augmented Reality Platform
Arya Rajiv Chaloli, K Anjali Kamath, Divya T Puranam and Preet Kanwal,
PES University Bangalore, India
Classifying Celeste as NP Complete
Zeeshan Ahmed, Alapan Chaudhuri, Kunwar Grover, Ashwin Rao, Kushagra Garg and
Pulak Malhotra, International Institute of Information Technology, Hyderabad, India
Performance Analysis of Supervised Learning Algorithms on Different Applications
Vijayalakshmi Sarraju1, Jaya Pal1 and Supreeti Kamilya2, 1BIT Extension Centre
Lalpur, India, 2BIT Mesra, India
An Analysis of Phrase based SMT for English to Manipuri Language
Maibam Indika Devi1 and Bipul Syam Purkayastha2, 1IGNTU-RCM, India,
2Assam University, India
Roberta Goes for IPO: Prospectus Analysis with Language Models for
Indian Initial Public Offerings
Abhishek Mishra1 and Yogendra Sisodia2, 1Trust Group, India, 2Conga, India
Comparison of Sequence Models for Text Narration from Tabular Data
Mayank Lohani, Rohan Dasari, Praveen Thenraj Gunasekaran, Selvakuberan
Karuppasamy and Subhashini Lakshminarayanan, Data and AI, Advance Technology
Centers in India & Accenture, Gurugram, India
Study of Consistency and Performance Trade-Off in Cassandra
Kena Vyas and PM Jat, DAIICT, Gujarat, India
Application of Bayesian Optimization and Stacking Integration in
Personal Credit Delinquency Prediction
Jicong Yang and Hua Yin, Guangdong University of Finance and Economics, China
A Formal Composition of Multi-Agent Organization based on Category Theory
Abdelghani Boudjidj1 and Mohammed El Habib Souidi2, 1Ecole nationale
Supérieure d’Informatique (ESI), Algeria, 2University of Khenchela, Algeria
The Challenges of Internet of Things Adoption in Developing Countries: An Overview
Based on the Technical Context
Ayman Altameem, King Saud University, Saudi Arabia
Screening Deep Learning Inference Accelerators at the Production Lines
Ashish Sharma, Puneesh Khanna, Jaimin Maniyar, AI Group, Intel, India