Two Days Conference Schedule (16th & 17th December 2022)
Time: 8:30 AM-9:00 PM | Indian Standard Time (IST)
Conference Day-1 | Date: 16th December 2022
Time (IST)*
Programme
9:00 AM-10.30 AM
Registration
Parallel Session-1 | 9:00 AM-11:00 AM | Online Mode Session Chair: Dr. Vimal Kumar || Session Co-Chair: Dr Kirubakaran
9:00 AM-9:20 AM
Keynote Talk By: Dr. P N Suganthan Fellow IEEE, Associate Professor, School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore
9:20 AM-9:30 AM
A Smart Shopping Cart: Ezi-KART Authored by: Joe Joseph, Joseph Roshan E.E, Krishnapriya S, Riya Sara Mathew and Sreenu G
9:30 AM-9:40 AM
The Perceived Impact of Correlative Relationship between Depression, Anxiety, and Stress among University Students
Authored by: Sharayu Dosalwar, Ketki Kinkar, Aditi Baheti and Prof Shilpa Sonawani
9:40 AM-9:50 AM
HydroPro: An IoT-based Smart Water Bottle Authored by: Aadi Nirbhavane, Ankur Gupta, Lokesh Kumar Sharma, Gaurav Singal and Abhinav Tomar
9:50 AM-10:00 AM
Human-centric Cross-domain Transfer Network for Music Recommendation Authored by: Bojun Liu and Bohong Liu
10:00 AM-10:10 AM
Importance Of Feature Extraction in Sentiment Analysis Implementation Authored by:Dr. Priyanka Tyagi, Dr. Suveg Moudgil and Garima Saini
10:10 AM-10:20 AM
Underwater Image Denoising and 3D Modelling Of Poompuhar Site Authored by: Dr.B.Sridevi, Mukesh.A, Rakesh.N and Hari krishnan.G
10:20 AM-10:30 AM
Machine Learning Approach for Predicting the Maladies Of Humans Authored by: Chalapathiraju Kanumuri, Ravichandra Torthi, Yadavalli S S Sriramam, D Kumara Swamy and Pavani Maganti
10:30 AM-10:40 AM
Crew Rostering Problem with Fatigue Balance Authored by: Hao Guo, Bin Deng, Weidong Li, Junfeng Huang, Jingfeng Li and Kaiyi Tang
10:40 AM-10:50 AM
DDOS Attacks Detection using A Deep Neural Network Model Authored by: Meenakshi Mittal, Krishan Kumar and Sunny Behal
Parallel Session-2 | 9:00 AM-11:00 AM | Online Mode Session Chair: Dr. Rajesh Kumar Srivastava || Session Co-Chair: Dr. Guru Murthy
9:00 AM-9:20 AM
Keynote Talk By: Dr. Jaume Anguera IEEE Fellow Founder and CTO at Ignion Associate Professor at Universitat Ramon Llull Barcelona, Spain
9:20 AM-9:30 AM
Intelligent Crop Recommendation System Using Machine Learning Algorithms Authored by: Mr. Swapnil Desai, Dr. Manuj Joshi and Dr. Pradip Mane
9:30 AM-9:40 AM
ACDNet: Abusive content detection on social media with an effective deep neural network using code-mixed Hinglish data Authored by: Rohit Kumar Kaliyar, Anurag Goswami, Ujali Sharma and Kanika Kanojia
9:40 AM-9:50 AM
Prediction of Omicron Virus Data Analytics using ECNN Technique Authored by: Anand Kumar Gupta, Asadi Srinivasulu, Tarkeshwar Barua and Kamal Kant Hiran
9:50 AM-10:00 AM
Prediction of Face Emotion with Labelled Selective Transfer Machine as a generalized emotion classifier Authored by: Dipti Pandit and Sangeeta Jadhav
10:00 AM-10:10 AM
A Large Scale IoT Botnet Attack Detection using Ensemble Learning Authored by: B Jwalina and S. Saravananb
10:10 AM-10:20 AM
Unsupervised learning method for better imputation of missing values Authored by: B.Mathura Bai, N.Mangathayaru and B. Padmaja Rani
10:20 AM-10:30 AM
Study of Bitcoin Price Prediction based on Sentiment Scores of Influencer Tweets with Experimental Validation Authored by: Abhishek Gandhi, Mukund Shinde, Rajendra Kulkarni, Shubham Chavan, Ar-shadali Sayyed, Dhanalekshmi Yedurkar and Shraddha Phansalkar
10:30 AM-10:40 AM
Neural-Network-based OFDM-SNM detection: Emerging Technique of Future Data communication Authored by: Jagadeshwaran Ramasamy and Dhandapani Samiappan
10:40 AM-10:50 AM
Plant Disease Detection Using Multispectral Imaging Authored by: Malithi De Silva and Dane Brown
10:50 AM-11:00 AM
Improving Signer-Independence using Pose Estimation and Transfer Learning for Sign Language Recognition Authored by: Marc Marais, Dane Brown, James Connan and Alden Boby
Parallel Session-3 | 9:00 AM-11:00 AM | Online Mode Session Chair: Dr. Simar Preet Singh || Session Co-Chair: Dr. L Chandra Sekhar Reddy
9:00 AM-9:20 AM
Keynote Speaker: Dr. Sanjay Madria ACM Distinguished Scientist from University of Missouri, USA
9:20 AM-9:30 AM
Modeling human performance in complex search and retrieve environment using supervised and unsupervised machine learning techniques Authored by: Shashank Uttrani, Sakshi Sharma, Mahavir Dabas, Bhavik Kanekar, and Varun Dutt
9:30 AM-9:40 AM
Detection of COVID-19 from Chest X-ray images using VGG-19 architecture Authored by: Pooja Pradeep Dalvi, Damodar Reddy Edla and Purushothama B.R.
9:40 AM-9:50 AM
Exploring the Incremental Improvements of YOLOv7 Over YOLOv5 for Character Recognition Authored by: Alden Boby, Dane Brown, James Connan and Marc Marias
9:50 AM-10:00 AM
Estimating the Water Level and Bathymetry of Lake Yahuarcocha, Ecuador using ICESat-2/ATL13 satellite laser altimetry, System Dynamics Model, and Machine Learning Authored by: Garrido Fernando and Granda Pedro
10:00 AM-10:10 AM
Virtual reality and artificial intelligence in e-commerce Authored by: Grzegorz Chodak and Edyta Ropuszyńska-Surma
10:10 AM-10:20 AM
Verifiable Machine Learning Models in Industrial IoT via Blockchain
Authored by: Verifiable Machine Learning Models in Industrial IoT via Blockchain
10:20 AM-10:30 AM
Object Pre-processing with Noise Reduction and Key Frame Extraction using Machine Learning Techniques
Authored by: Mrs Kande Archana , Dr V Kamakshi Prasad & Dr M Ashok
10:30 AM-10:40 AM
Covid Identification With Chest X Ray Image Classification Using Convolutional Neural Network
Authored by: Shikha Rastogi, Neha Gupta, Sarita Yadav and Devansh Verma
10:40 AM-10:50 AM
Ocular Disease Recognition Using Convolutional Neural Networks
Authored by: Abhinav Mangla, Shafali Dhall, Neha Gupta, Shikha Rastogi and Sarita Yadav
10:50 AM-11:00 AM
Sentence Classification using Quantum Natural Language Processing and Comparison of Optimization Methods
Authored by: KMM Rajashekharaiah, Dr. Satyadhyan Chickerur, Goutam Hegde, Subrahmanya L Bhat and Shubham Annappa Sali
Parallel Session-4 | 9:00 AM-11:00 AM | Online Mode Session Chair: Dr. Riti Kushwaha || Session Co-Chair: Dr. K L S Soujanya
9:00 AM-9:20 AM
Keynote Talk By: Dr. Rongxing Lu Mastercard IoT Research Chair, University Research Scholar, Associate Professor, Faculty of Computer Science, University of New Brunswick
9:20 AM-9:30 AM
Brain Tumor Segmentation from MRI Images using Deep Learning Techniques
Authored by: Ayan Gupta, Mayank Dixit, Vipul Kumar Mishra, Attulya Singh and Atul Dayal
9:30 AM-9:40 AM
A Survey of Statistical, Machine Learning, and Deep Learning-Based Techniques for Time Series Anomaly Detection
Authored by: Sangeeta Oswal, Subhash Shinde and Vijayalakshmi M
9:40 AM-9:50 AM
Dimension Reduction in the Sagittal Plane for Diagnosis of Mild Cognitive Impairment
Authored by: Harsh Bhasin, Vishal Deshwal, and Arush Jasuja
9:50 AM-10:00 AM
XACML: Explainable Arrhythmia Classification Model using Machine Learning
Authored by: S.Nithya and Mary Shanthi Rani
10:00 AM-10:10 AM
Intelligent Analytical Randomization of Clinical Trials
Authored by: Vandana Sharma and Shalini Singh
10:10 AM-10:20 AM
An Effective Approach for Identification of Multivariate Global Outlier Using Min, Average and Max Linkage Methods of Agglomerative
Authored by: Dr Vijay Kumar Verma
10:20 AM-10:30 AM
Brain Tumor Segmentation using 3D Attention U-Net
Authored by: Siva Koteswara Rao Chinnam, Venkat ramaphani kumar Sistla, and Venkata Krishna Kishore Kolli
10:30 AM-10:40 AM
Whale optimization based approach to compressand fasten CNN for crop disease and speciesidentification
Authored by: Mohit Agarwal, Simar Preet Singh, Rohit Kaliyar, Suneet Kumar Gupta, Deepak Garg and Mani Jindal
10:40 AM-10:50 AM
Generative Adversarial Network for hand-writing detection
Authored by: Vimal Kumar, Rajesh Kumar Shrivastava and Simar Preet Singh
Parallel Session-5 | 9:00 AM-11:00 AM | Online Mode Session Chair: Dr. Ghazaala Yasmin || Session Co-Chair: Dr. P Sruthi
9:00 AM-9:20 AM
Keynote Talk By: Dr. Tarek Gaber University of Salford, UK
9:20 AM-9:30 AM
Study And Analysis of Deep Learning Models for the Recognition of Sign Language
Authored by: Naima Azim, Shamsia Afrin Jamema and Naznin Sultana
9:30 AM-9:40 AM
Prediction of Heat Energy Consumption by LSTM Sequence-to-sequence Models
Authored by: Mazen Ossman, Rozina Mohaideen and Yaxin Bi
9:40 AM-9:50 AM
Few-Shot Learning for Plant Disease Classification using ILP
Authored by: Dany Varghese, Uzma Patel, Paul Krause and Alireza Tamaddoni-Nezhad
9:50 AM-10:00 AM
Deep Learning-Based Multiclass Classification of Cotton Leaf Images Using ResNet and Transfer Learning
Authored by: Sengathir Janakiraman and Ranga Pravallika Rayapudi
10:00 AM-10:10 AM
Vision Transformer and Bidirectional RoBERTa: A Hybrid Image Captioning Model between VirTex and CPTR
Authored by: Khang Nhut Lam, Diem-Kieu ThiLe, Truong Dinh Ngo and Jugal Kalita
10:10 AM-10:20 AM
Artificial Intelligence Enabled IOT System for Football Identification In a Football Match
Authored by: Mahesh Kumar Singh, Akhilesh Kumar Singh, Pushpendra Singh, Kalpana and Om Prkash Rishi
10:20 AM-10:30 AM
ANN model to predict religiosity based on social online behaviors and personality traits
Authored by: Marta R. Jablonska and Smruti Rekha Das
10:30 AM-10:40 AM
Novel Taxonomy for E Learning Using Recommender System
Authored by: Kalpana, Shardul Singh Chauhan, Mahesh Kumar Singh and Renu Bagoria
10:40 AM-10:50 AM
Predicting Student Performance in Blended Learning Teaching Methodology using Machine Learning
Authored by: Vallampatla Nanda Kishore and Dr. B.Vikranth
10:50 AM-11:00 AM
Towards Better Gait Predictions: Sensor-based Detection of Flexion and Extension of Human Lower Limb Joints During Walking.
Authored by: Chaitanya Nutakki, Abhijith Balachandran, Akhil Kuchimanchi, Vagdevi Maddineni, Meghana Reddy, Ganesh Avugaddi and Shyam Diwakar
Parallel Session-6 | 9:00 AM-11:00 AM | Online Mode Session Chair: Dr. Jagendra Singh || Session Co-Chair: Dr. R Venkateswara Reddy
9:00 AM-9:20 AM
Keynote Talk By: Dr. Bharat S Rawal Professor, Benedict College, South Carolina,USA
9:20 AM-9:30 AM
Chlorophyll Prediction System with Machine Learning Algorithms in Lake Titicaca (Peruvian sector)
Authored by: Antonio Arroyo Paz and Yalmar Ponce
9:30 AM-9:40 AM
Using OMR for bubble sheet questionnaire qualification
Authored by: Yalmar Ponce Atencio, Jhon Huanca Suaquita, Joab Maquera Ramirez, Jesus Cabel Moscoso, and Freddy Marrero Saucedo
9:40 AM-9:50 AM
Channel Estimation of mmWave Massive MIMO Systems Using Large Intelligent Surfaces
Authored by: Udataneni Divya and Dr. M. VijayaLakshmi
9:50 AM-10:00 AM
A comparative study of stroke prediction algorithms using machine learning
Authored by: Manu Singh, Sonia Verma and Pooja Singhal
10:00 AM-10:10 AM
A Substantial Deep Learning Approach for Classification of Local and Coastal Fish
Authored by: Sajal Das, Shumaiya Akter Shammi and Dewan Mamun Raza
10:10 AM-10:20 AM
Malware Detection in URL using Machine Learning Approach
Authored by: Rajesh Kumar, Rachit Talwar, Manik Sharma, Suchi Kumari, Shivani Goel, Kanika Malhotra and Faiz Ahmed
10:20 AM-10:30 AM
Optimizing Beat Management System Using Soft Biometrics
Authored by: Kaushik N, Chandrakala G Raju, Sumalatha Aradhya, Ishaan Joshi, Indramma M and Radhika K R
10:40 AM-11:00 AM
Tea Break
11:00 AM-11:10 AM
Welcome Address By: Dr. Deepak Garg Dean-School of Computer Science Engineering and Technology (SCSET), Bennett University, Gr. Noida, India
11:10 AM-11:20 PM
Address By: Major Dr. V A Narayana Professor of CSE & Principal at CMR College of Engineering & Technology, Hyderabad, Telangana, India
11:20 AM-12:00 PM
Talk By: Prof. K. K. Agarwal Chairman, NBA and Founder Vice Chancellor, GGS Indraprastha University
12:00 PM-12:20 PM
Talk By: Sri Chamakura Malla Reddy Minister of Labour & Employment of Telangana, India
12:20 PM-12:30 PM
Talk By: Dr. Ch. Gopal Reddy Chairman, CMR Group of Institutions, Hyderabad, Telangana, India
Keynote Talk-1 By: Dr S Viswanadha Raju Professor, Vice Principal, JNTUHCEJ, Jagtial, Telangana
Keynote Talk-2 By: Dr M S V S Bhadri Raju Professor, CSE at S.R.K.R. Engineering College, West Godavari, Andhra Pradesh
2:50 PM-3:00 PM
Formulating Mechanisms For Reduction In Greenhouse Gas Emissions At Ghatkesar
Authored by: Abhiram Katuri, S Krishna Anand, Salugu Sindhu and V Jayaprakasan
3:00 PM-3:10 PM
Use of Machine Learning Algorithm for analyzing childrens health in COVID-19 situation : Consideration of Organic and Inorganic Food
Authored by: Dipti Nashine, Rahul Chaudhari and K. Nirmala
3:10 PM-3:20 PM
Forecasting Futuristic Covid-19 Trend Using Machine Learning Models
Authored by: Korimilla Yashwanth Reddyand and Dr. V. A. Narayana
3:20 PM-3:30 PM
Self Supervised Learning for Classifying the Rotated Images
Authored by: Sidharth Roy, Aboli Marathe, Rahee Walambe and Ketan Kotecha
3:30 PM-3:40 PM
Data-driven Approach for Predicting Surface Subsidence Velocity from Geotechnical Parameters
Authored by: Priyanka, Praveen Kumar, Pratik Chaturvedi, K.V. Uday and Varun Dutt
3:40 PM-3:50 PM
DR-A-LSTM: A Recurrent Neural Network with a Dimension Reduction Autoencoder a Deep Learning Approach for Landslide Movements Prediction
Authored by: Praveen Kumar, Priyanka, K.V. Uday and Varun Dutt
Attacks and defenses of smart speakers: Voice Command Fingerprinting on Alexa
Authored by: Rohan Kathuria and Vinish Kathuria
4:10 PM-4:20 PM
Anomaly Detection in Time Series Data by Forecasting using Facebook Prophet
Authored by: Mrs. Sangeeta Oswal, Mr. Shubham Hadawle and Mr. Atharva Khangar
4:20 PM-4:30 PM
Machine Learning techniques in cardiovascular disease prediction
Authored by: Rajat Srivastava, Srabanti Maji and Trinath Panda
Keynote Talk By: Dr. Vishnu Pendalya San Jose, California, United States
Keynote Talk By: Prof. R. S. Salaria Dean & I/C Director, University Institute of Computer Science & Applications, Guru Nanak University, Hyderabad.
2:50 PM-3:00 PM
Comparative Analysis of Various Machine Learning Algorithms for Detection of Malware and Benign
Authored by: Saika Mohi ud din, Fizza Rizvi, Nonita Sharma and Deepak Kumar Sharma
3:00 PM-3:10 PM
An Analysis Employing Various Machine learning Algorithms for Detection of Malicilous URLs
Authored by: Fizza Rizvi, Saika Mohi ud din, Nonita Sharma and Deepak Kumar Sharma
3:10 PM-3:20 PM
Univariate, Multivariate, and Ensemble of Multilayer Perceptron Models for Landslide Movement Prediction: A Case Study of Mandi
Authored by: Priyanka, Praveen Kumar, Arti Devi, Akshay K, Gaurav G, K.V. Uday and Varun Dutt
3:20 PM-3:30 PM
An efficient and optimized Convolution Neural Network for Brain Tumour Detection
Authored by: Mohit Agarwal, Lokesh Kumar Sharma, Suneet Kumar Gupta, Deepak Garg and Mani Jindal
3:30 PM-3:40 PM
Video Tampering Detection using Machine Learning and Deep Learning
Authored by: Siddhi Deo, Simran Mehta, Digha Jain, Charu Tiwari, Aniket Tho-rat, Sudhanshu Mahara, Sudhanshu Gonge, Rahul Joshi, Shilpa Gite and Ketan Kotecha
3:40 PM-3:50 PM
Hashtag2vec: Ranking of Disaster related tourism Spot’s Hashtag on Twitter Data
Authored by: Rupesh Kumar Mishra, Talla Prashanthi, T. Susmitha, K. Arjun and Shree Harsh Attrey
3:50 PM-4:00 PM
Concrete Crack Detection using Deep Convolutional Generative Adversarial Network
Authored by: Biswajit Padhi, Motahar Reza, Md. Salman Shams and Arcot Navya Sai
4:00 PM-4:10 PM
Web-based Tumor Detection and Classification Using Convolutional Neural Network
Authored by:Kalab Kiros,Dinesh Kumar and Premavathi T
Keynote Talk By: Mr. Raghu Kishore Vempati Director, Technology, Research and Innovation, Hyderabad, Telangana, India
Keynote Talk By: Dr. Atul Negi Ph.D., University of Hyderabad, India
2:50 PM-3:00 PM
Mammogram based Breast Cancer Detection with Transfer Learning
Authored by: Pema Wangdi, Dinesh Kumar and Hitesh Kag
3:00 PM-3:10 PM
Intelligent & Smart Navigation System for Visually Impaired Friends
Authored by: Merugu Suresh, Abdul Subhani Shaik, B. Premalatha, V. A. Narayana and George Ghinea
3:10 PM-3:20 PM
Digitized Smart Farming Technology for Urban Agriculture for Future Sustainability
Authored by: S.Sai Kumar, K.Subba Shankar, E.Sunil , P.Saidulu, N.Rajeswaran and G. Venkata Hari Prasad
3:20 PM-3:30 PM
Detection of plant leaf diseases using hybrid convolution neural network with support vector machine
3:30 PM-3:40 PM
Brain Tumor Detection using Convolutional Neural Network
Authored by: Uppari Sai Bhargavi, Shwati Tiwari, Aditi Mishra, Syed Hasan, Sudhanshu Gonge, Rahul Joshi and Ketan Kotecha
3:40 PM-3:50 PM
A Critical Review on Machine Reading Comprehension(MRC) Developments : From High Resource to Low Resource Languages
Authored by: Bechoo Lal, Arun Bhaskar, M.Bhaskar, Ashish, Deepak Kumar Panda, G. Shivakantha
3:50 PM-04:00 PM
GCOMSP: Design of a GWO based Model for Continuous Optimization of Multidomain Stock Prediction performance Authored by: Rachna Sable, Shivani Goel and Pradeep Chatterjee
4:00 PM-04:10 PM
A Chi-Square dissimilarity measure for clustering categorical datasets
Authored by: Luis Ariosto Serna Cardona, Kevin Alejandro Hernández, Gina Marcela Barreto, Piedad Navarro González and Álvaro Ángel Orozco Gutiérrez
4:30 PM-5:00 PM
High Tea
5:00 PM-6:30 PM
Panel Discussion:
1. Mr. Karun Tadepalli, CEO & Co-Founder - byteXL, CEO of Blackbucks, CEO TechSys
2. Mr. Ramana TSV, CodeTantra Tech Solutions Pvt. Ltd
Title: "Effect of post COVID Technology Transformation in Economy and Society"
6:30 PM-7:30 PM
Cultural programmes
7:30 PM Onwards
Gala Dinner with light music
Presentation Guideline:
The duration of the presentation is only 8 minutes followed by interaction.
Author must finish the presentation within the allotted time.
Authors are suggested to put maximum 8 slides in the presentation.
Authors must send the final copy of the presentation to Dr. Suneet Gupta (suneet.banda@gmail.com) with CC to patrik@computingconf.com on or before 10 December 2022.
If any author is not able to attend the session, they will send the 8 minutes (max) video in place of presentation slides.
Conference Day-2 | Date: 17th December 2022
Time: 9:00 AM-2:00 PM | Indian Standard Time (IST)
Time (IST)
Programme
8:55 AM
Welcome Address and Assembly of Audience
9:00 AM-10:30 AM
Keynote 1:Online Mode Dr. Sanjay Ranka Distinguished Professor, University of Florida
Keynote 2: Offline Mode Dr. P. Krishna Reddy Professor, IIIT, Hyderabad
Dr. P N Suganthan 
Dr. Jaume Anguera 
Dr. Sanjay Madria 
Dr. Rongxing Lu 
Dr. Tarek Gaber 
Dr. Bharat S Rawal
Dr. Deepak Garg 
Major Dr. V A Narayana
Prof. K. K. Agarwal 
Sri Chamakura Malla Reddy
Dr. Ch. Gopal Reddy
Dr S Viswanadha Raju 
Dr M S V S Bhadri Raju
Dr. Vishnu Pendalya 
Prof. R. S. Salaria 
Mr. Raghu Kishore Vempati
Dr. Atul Negi 
Dr Ponnurangam Kumaraguru 
Dr. Sanjay Ranka 
Dr. P. Krishna Reddy 
Mr. Umamaheswara Rao