Academy & Industry Research Collaboration Center (AIRCC)

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

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