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Two Days Conference Schedule (15th & 16th December 2023)

Time: 8:30 AM-9:00 PM | Indian Standard Time (IST)

Conference Day-1 | Date: 15th December 2023


Time: 9:00 AM-9:00 PM | Indian Standard Time (IST)
Meeting Link

Time (IST)

Programme

8:0 AM-9.00 AM
Registration
9:00 AM-9:20 AM
Plenary Talk 1:
vishnu-pendyala  Dr. Parteek Bhatia , Professor - CSE & Associate DSA, Thapar Institute of Engineering and Technology, Patiala
9:20 AM-9:40 AM Plenary Talk 2:
vishnu-pendyala  Ajay Shiv Sharma , Cyber Security and Analytics, Melbourne, Victoria, Australia
9:40 AM-10:00 AM Plenary Talk 3:
vishnu-pendyala  Prof. P. N. Suganthan , Professor, Computer & Data Science at Capitol Technology University, Qatar University, UK
10:00 AM-10.20 AM Plenary Talk 4:
vishnu-pendyala  Dr. Ammar Almomani , Dr. Ammar Almomani, Prof. & Head of Research & Innovation Department, Skyline University, Sharjah, UAE
10:20 AM-10:40 AM Plenary Talk 5:
Yi-Sun-53  Dr. Sun Yi , Professor - Beijing University of Technology, China
10:40 AM-11:00 AM Plenary Talk 6:
Title of Talk: Improved ViT models for Medical Image Analysis
vishnu-pendyala  Prof. Yudong Zhang , Prof. Yudong Zhang, Professor, Knowledge Discovery & Machine Learning, University of Leicester, UK
11:00 AM-11:20 AM High Tea
11:20 AM-11:25 AM
~ Inauguration ~

Welcome of Guest & Lighting of Lamp

11:25 AM-11:35 AM Felicitation to Guests (Dr K V Kale, Dr Suneet Gupta, Dr Meena Jha, Dr Sagaya, Dr Ketan Kotecha)
11:35 AM-11:45 AM Welcome Addresses by:
  Shri Anil A Bagane, Hon. Executive Director - Sharad Institute of Technology, College of Engineering, Kolhapur, Maharashtra, India
11:45 AM-11:55 AM Welcome Addresses of IACC-2023 by:
  Dr. Suneet Gupta , Professor - Bennett University, Greater Noida & General co-chair, IACC-2023, India
11:55 AM-12:00 PM Addresses by:
  Shri Rajendra Patil (Yadravkar), Chairman - Sharad Institute of Technology, College of Engineering, Kolhapur, Maharashtra, India
12:00 PM-12:30 PM Addresses by:
vishnu-pendyala  Dr K V Kale, Vice-Chancellor - Dr Babasaheb Ambedkar Technological University, Lonere, Maharashtra, India
12:30 PM-12.35 PM Vote for Thanks by:
  Dr. Sanjay A. Khot, Principal - Sharad Institute of Technology, College of Engineering, Kolhapur, Maharashtra, India
12:35 PM-1:00 PM Award Ceremony
1:00 PM-2:00 PM LUNCH
2:00 PM-2.30 PM Plenary Talk By:
Talk Title: Lifelong Machine Learning for Robotic/Autonomous Systems
vishnu-pendyala  Dr. Jagannathan Sarangpani , From Missouri University of Science and Technology, USA
2:30 PM-3.00 PM Plenary Talk By:
iacc2021  Dr. Meena Jha, ICT College of Information & Communication Technology, SIT, Central Queensland University, Sydney, Australia
3:00 PM-3:30 PM Plenary Talk by:
vishnu-pendyala  Dr. Ketan Kotecha , Director, Symbiosis Institute of Technology, Dean - Symbiosis International University
3:30 PM-4:00 PM Plenary Talk by:
vishnu-pendyala  Dr. Umesh Rao Hodeghtta, An Engineer, Scientist & Educator, Faculty member at Northeastern University, USA
4:00 PM-4:10 PM Tea Break
4:30 PM-5:30 PM Panel Discussion By:
Dr. Deepak Garg (Moderator), Director Mr. Anil Bagane, Dr. Meena Jha, Dr. Sagaya Amalathas, Dr. Ketan Kotecha
Topic: The Societal Impacts of Deepfakes
5:45 PM-7:00 PM Cultural Program
7:15 PM-9:30 PM Gala Dinner with Light Music

Conference Day-2 | Date: 16th December 2023

Time (IST)*

Programme

9:00 AM-9:45 AM Plenary Talk by:
vishnu-pendyala  Dr. Bharat S. Rawal , Professor, Computer & Data Science at Capitol Technology University
9:45 AM-10.30 AM Plenary Talk By:
iacc2021  Dr. Sagaya Amalathas Professor, Head of Computer Science Programme, University of Southampton Malaysia
10:30 AM-11.05 AM Plenary Talk By:
iacc2021   Dr. Abhyankar, Professor and Head, Dept of Technology, SP Pune University, Maharashtra, India
10:30 AM-11.05 AM High Tea
Parallel Session-1 | 11.20 AM-1:00 PM | Online Mode
Session Chair: Dr. Mahesh Kumar Singh

11:20 AM-11:30 AM Analysis of Effectiveness of Indian Political Campaigns on Twitter
Authored by: Kriti Singhal, Kartik Sood, Akshat Kaushal, Vansh Gehlot and Prashant Singh Rana
11:30 AM-11:40 AM Early Phase Detection Of Diabetes Mellitus Using Machine Learning
Authored by: Dharna Choudhary, Pradeep Gupta, Sonam Gupta
11:40 AM-11:50 AM Voice Enabled Form Filling Using Hidden Markov Models
Authored by:Sallagundla Babu , Kethavath Bharath Naik , Mitaigiri Shaik Arshad Hussain , Kata Siddartha and Merla Kodandaram Sri Satya Sai
11:50 AM-12:00 PM Classification of Colorectal Cancer Tissue Utilizing Machine Learning Algorithms
Authored by:N Sai Satwik Reddy, Venkata Siva Manoj A and Sowmya V
12:00 PM-12:10 PM Comparative Analysis of Deep Learning Methods for Voice-based Differentiation of Parkinson Syndromes
Authored by:N Sai Satwik Reddy, Venkata Siva Manoj A, V Poorna Muni Sasidhar Reddy, Aadharsh Aadhithya and Sowmya V
12:10 PM-12:20 PM Colon Cancer Nuclei Classification with Convolutional Neural Networks
Authored by:Kancharagunta Kishan Babu, Bhavanam Santhosh Reddy, Akhil Chimma, Paruchuri Pranav and Kamatam Santhosh Kumar
12:20 PM-12:30 PM Unveiling Efficiency: Loan Application Process Optimization Using PM4Py Tool
Authored by:Anukriti Tripathi, Aditi Rai, Uphar Singh, Ranjana Vyas and O.P.Vyas
12:30 PM-12:40 PM Stock price prediction using time series
Authored by:Rahul Maurya, Dashniet Kaur and Shashi Ranjan
12:40 PM-12:50 PM Heart Disease Diagnosis using Machine Learning Classifiers
Authored by:Pushpendra Singh, Chandra Shekher Tyagi, Davesh Kumar Sharma, Mahesh Kumar Singh, Pushpa Choudhary and Arun Kumar Singh
12:50 PM-1:00 PM Mental Health Analysis Using Rasa And Bert: Mindful
Authored by:Rashmi Gandhi, Prachi Jain and Hardeo Kumar Thakur
Parallel Session-2 | 11.20 AM-1:00 PM | Online Mode
Session Chair: Dr. Pushpendra Singh

11:20 AM-11:30 AM Human Age and Gender Prediction based on Teeth X-Ray Images
Authored by:Mokshith Varma Lolakapuri, Samhitha Mallannagari, Koushil Goud, Dr.D.Vivek and Dr. Lanke Pallavi
11:30 AM-11:40 AM Damage Evaluation Following Natural Disasters Using Deep Learning
Authored by:Dr. Neha Gupta, Dr. Shikha Verma, Ms. Rosey Chauhan and Ms. Pooja Singhal
11:40 AM-11:50 AM Plant Disease Recognition using Machine Learning and Deep Learning Classifiers
Authored by:Deepak, Sonam Gupta and Pradeep Gupta
11:50 AM-12:00 PM ELECTRA: A Comprehensive Ecosystem for Electric Vehicles and Intelligent Transportation using YOLO
Authored by: Amol Dhumane, Shwetambari Chiwhane, Akarsh Singh, Ayush Koul, Maruti Panchal, Pronit Parida
12:00 PM-12:10 PM Bayesian Network Model based Classifiers are used in an Intelligent E-learning System
Authored by:Dr. Rohit. B.Kaliwal and Dr. Santosh. L. Deshpande
12:10 PM-12:20 PM Where You Think Stock Takes with the Linear Regression Model
Authored by:Bharat S.Rawal, William Sharpe, Elizabeth Moseng, and Andre Galustian
12:20 PM-12:30 PM Comparative Evaluation Of Feature Extraction Techniques In Chest X Ray Image With Different Classification Model
Authored by: Sonia Verma, Dr. D Ganesh Gopal, Dr. Pankaj Kumar Sharma
12:30 PM-12:40 PM Depression Detection Using Distribution of Microstructures from Actigraph Information
Authored by:Harsh Bhasin, Chirag, Nishant Kumar and Hardeo Kumar Thakur
12:40 PM-12:50 PM Mild Cognitive Impairment Diagnosis Using Neuropsychological Tests and Agile Machine Learning
Authored by:Harsh Bhasin, Ansh Ohri, Nishant Kuma, Manish Sharma and Hardeo Kumar Thakur
12:50 PM-1:00 PM Developing an Efficient Toxic Comment Detector using Machine Learning Techniques
Authored by:Peehu Bajaj, Avanish Shimpi, Dr Satish Kumar, Dr. Priya Jadhav and Dr. Arun kumar Bongale
Parallel Session-3 | 11.20 AM-1:00 PM | Online Mode
Session Chair: Dr. Pushpa Choudhary

11:20 AM-11:30 AM Tilapia Fish Freshness Detection Using CNN Models
Authored by:Haripriya S, Pranuthi Saka, Manoja Nanded, A. Kousar Nikhath, Sandhya Nadella
11:30 AM-11:40 AM Deep Learning Methods for Precise Sugarcane Disease Detection and Sustainable Crop Management
Authored by:Davesh Kumar Sharma, Akash Punhani
11:40 AM-11:50 AM Enhancing Hex Strategy: AI Based Two-Distance Pruning Approach with Pattern-Enhanced Alpha-Beta Search
Authored by:Saatvik Saradhi Inampudi
11:50 AM-12:00 PM Detection of brain tumor type based on FANET segmentation and hybrid Squeeze Excitation network with KNN
Authored by:Anjali Hemant Tiple, A. B. Kakade and Uday Anan-drao Patil
12:00 PM-12:10 PM Efficient Characterization of Cough Sounds Using Statistical Analysis
Authored by:Vodnala Naveenkumar, Lankireddy Pratapreddy, Yarlagadda PadmaSai
12:10 PM-12:20 PM Object Detection and Depth Estimation using Deep Learning
Authored by:Rajani Katiyar,, Uttara Kumari, Karthik Panagar, Kashinath Patil Manjunath B M5 Jeevan Gowda Y
12:20 PM-12:30 PM A Predictive Deep Learning Ensemble Based Approach for Advanced Cancer Classification
Authored by:Kanika Kansal and Sanjiv Sharma
12:30 PM-12:40 PM Predictive Deep Learning: A Comparative Analysis of Inception V3, VGG16, and VGG19 models for Breast Cancer Detection
Authored by:Kanika Kansal and Sanjiv Sharma
12:40 PM-12:50 PM Prediction Of Abnormality Using Iot And Machine Learning
Authored by:B. Kowsalya, D. R. Keerthana Prashanthi, S. Vigneshwaran, P. Poornima
12:50 PM-1:00 PM Genetic Algorithm-based Optimization of UNet for Breast Cancer Classification: A Lightweight and Efficient approach for IoT Devices
Authored by:Mohit Agarwal, Amit Kumar Dwivedi, Suneet Kr Gupta
Parallel Session-4 | 11.20 AM-1:00 PM | Online Mode
Session Chair: Dr. Arun Kumar Singh

11:20 AM-11:30 AM Optimizing Biomass Forecasting & Supply Chain : An Integrated Modelling Approach
Authored by:Sangeeta Oswal, Ritesh Bhalerao, Aum Kulkarni
11:30 AM-11:40 AM An Interactive Interface for Plant Disease Prediction and Remedy Recommendation
Authored by: Mrunalini S. Bhandarkar, Basudha Dewan, Payal Bansal
11:40 AM-11:50 AM Advancing Image Classification through Self-Teachable Machine Models and Transfer Learning
Authored by:Madhu kumar Jha, Suwarna Shukla, Ajay Pal Singh and Vaishali Shukla
11:50 AM-12:00 PM Handwritten English Alphabets Recognition System
Authored by:Raunak Kumar, Sagar Patra, Ajay Pal Singh
12:00 PM-12:10 PM Prediction of Breast Cancer Using Machine Learning Technique
Authored by:Madhav P.Namdev, Sakil Ahmad Ansari, Arjun Singh, and Pushpa Choudhary, Arun Kumar Singh and Jaideep kumar
12:10 PM-12:20 PM Facial Expression Recognition: Detection and Tracking
Authored by:Abhay Bhatia, Manish Kumar, Jaideep Kumar, Anil Kr Chauhan and Prashant Verma
12:20 PM-12:30 PM Driver Drowsiness Detection System Using Machine Learning Techniques
Authored by:Neha Paliwal, Renu Bahuguna, Deepika Rawat, Isha Gupta, Arjun Singh and Saurabh Bhardwaj
12:30 PM-12:40 PM Analysis Effect of K Values Used in K-Fold Cross Validation for Enhancing Performance of Machine Learning Model with Decision Tree
Authored by:Dr. Vijay Kumar Verma, Dr. Kanak Saxena and Dr. Umesh Banodh
12:40 PM-12:50 PM Revisiting Class Imbalance: A Generalized Notion for Oversampling
Authored by:Purushoth Velayuthan, Navodika Karunasingha, Hasalanka Nagahawaththa, Buddhi G. Jayasekara and Asela Hevapathige
12:50 PM-1:00 PM A Genetic Algorithm-Enhanced Deep Neural Network for Efficient and Optimized Brain Tumor Detection
Authored by:Arun Kumar, Dr Mohit Agarwal and Dr Mohd Aquib
1:00 PM-1:10 PM Diabetes Risk Prediction through Fine-Tuned Gradient Boosting
Authored by:Pooja Rani, Rohit Lamba, Ravi Kumar Sachdeva, Anurag Jain, Tanupriya Choudhury and Ketan Kotecha
1:10 PM-1:20 PM An Efficient Method for Heart Failure Diagnosis
Authored by:Ravi Kumar Sachdeva, Anshika Singla, Priyanka Bathla, Anurag Jain, Tanupriya Choudhury and Ketan Kotecha
1:20 PM-1:30 PM Early detection of diabetes using ML based classification algorithms
Authored by:Ashisha G R, Anitha Mary X, Subrata Chowdhury, Karthik C, Tanupriya Choudhury and Ketan Kotecha
Parallel Session-5 | 11.20 AM-1:00 PM | Online Mode
Session Chair: Dr Amrit Kumar Agrawal

11:20 AM-11:30 AM Decision Model for Cost Control of Transmission and Transformation Projects Considering Uncertainty: a GAN Algorithm
Authored by:Si Shen, Shili Liu, Fulei Chen, Jian Ma and Jinghua Liu
11:30 AM-11:40 AM Optimization Model of Construction Period in Special Construction Scenarios of Power Transmission and Transformation Project Based on Back Propagation Neural Network

Authored by:Si Shen , Fulei Chen , Jian Ma, Tianrui Fang and Wei Yan
11:40 AM-11:50 AM Chilli Leaf Disease Detection using Deep Learning
Authored by: S Abdul Amjad, Anuradha.T, T Manasa Datta, U Mahesh Babu
11:50 AM-12:00 PM Handwritten Equation Solver: A Game-Changer in Mathematical Problem Solving
Authored by: Anmol Gupta, Disha Mohini Pathak, Rohit Sharma, Somya Srivastava
12:00 PM-12:10 PM IRBM: Incremental Restricted Boltzmann Machines for Concept Drift Detection and Adaption in Evolving Data Streams
Authored by: Shubhangi Suryawanshi, Anurag Goswami, Pramod Patil
12:10 PM-12:20 PM Prediction of deposition parameters in manufacturing of Ni-based coating using ANN
Authored by: Shubhangi Suryawanshi, Amrut P. Bhosale, Digvijay G. Bhosale, Sanjay W. Rukhande
12:20 PM-12:30 PM Innovation in the Field of Oncology: Early Lung Cancer Detection and Classification Using AI
Authored by: Kapila Moon and Dr. Ashok Jethawat
12:30 PM-12:40 PM Multi-Featured Speech Emotion Recognition Using Extended Convolutional Neural Network
Authored by: Arun Kumar Dubey, Yogita Arora, Neha Gupta, Sarita Yadav, Achin Jain, Devansh Verma
12:40 PM-12:50 PM Vision-Based Human Activity Recognition Using CNN & LSTM Architecture
Authored by: Neha Gupta, Payal Malik, Arun Kumar Dubey, Achin Jain, Sarita Yadav, Devansh Verma
12:50 PM-1:00 PM Securing Lives and Assets: IoT-Based Earthquake and Fire Detection for Real-Time Monitoring and Safety
Authored by: Ramveer Singh, Rahul Sharma, Kaushal Kumar, Mandeep Singh, Pooja Vajpayee
1:00 PM-1:10 PM Analysis of Parent with Fine Tuned Large Language Model
Authored by: Vaishali Baviskar, Shrinidhi Shedbalkar, Varun More, Sagar Waghmare, Yash Wafekar and Madhushi Verma
1:10 PM-1:20 PM AI Content Detection
Authored by: Rachna Sable, Vaishali Baviskar, Sudhanshu Gupta, Devang Pagare, Eshan Kasliwal, Devashri Bhosale, Pratik Jade
1:20 PM-1:30 PM An Early Detection of Fall Using Knowledge Distillation Ensemble Prediction Using Classification
Authored by:Divya Priya R and Dr. Bagyamani J
1:30 PM-1:35 PM Large Language Models for Search Engine Optimization in E-commerce
Authored by:Grzegorz Chodak, Klaudia Błażyczek
1:35 PM-1:40 PM The Forward-Forward Algorithm: Analysis and Discussion
Authored by:Sudhanshu Thakur, Reha Dhawan, Parth Bhargava, Kaustubh Tripathi, Rahee Walambe and Ketan Kotecha
1:40 PM-1:45 PM Exploring the Usability of Quantum Machine Learning for EEG Signal Classification
Authored by: Devansh Singh, Yashasvi Kanathey, Yoginii Waykole, Rohit Kumar, Rahee Walambe, Khan Hassan Aqeel, Ketan Kotecha
Parallel Session-1 | 11.20 AM-1:00 PM | Offline Mode

Co-Session Chair: Prof Kshama Kulhalli

11:20 AM-11:30 AM Total Electron Content Forecasting in Low Latitude Regions of India: Machine & Deep Learning Synergy
Authored by:Dr. Pooja Bagane, Chahak Sengar, Sumedh Dongre, Siddharth Prabhakar, Shreya Baldua and Dr. Shashidhar Gurav
11:30 AM-11:40 AM Novel Machine Learning Algorithms for Predicting COVID-19 Clinical Outcomes with Gender Analysis
Authored by: Yogendra Narayan Prajapati, Manish Sharma
11:40 AM-11:50 AM Investigation of Power Consumption of Refrigeration model and its Exploratory Data Analysis (EDA) by using Machine Learning (ML) Algorithm
Authored by: Avesahemad S. N. Husainy, Suresh M. Sawant, Sonali K. Kale, Sagar D. Patil, Sujit V. Kumbhar, Vishal V Patil, Anirban Sur
11:50 AM-12:00 PM Story Generation using GAN, RNN & LSTM
Authored by:Smita Mahajan, Devika Shrouti, Ameysingh Bayas, Nirgoon Joshi, Mrinank Misal and Shilpa Gite
12:00 PM-12:10 PM Detection of Cardiovascular Diseases using Machine Learning Approach
Authored by:Amol Dhumane, Shwetambari Chiwhane,Mubin Tamboli,Srinivas Ambala, Pooja Bagane and Vishal Meshram
12:10 PM-12:20 PM Diabetes Prediction Using Ensemble Learning
Authored by:Amol Dhumane, Sudhanshu Thakur, Utkarsh Khatter, Manas Gogna and Ameysingh Bayas
Parallel Session-2 | 11.20 AM-1:00 PM | Offline Mode
Co-Session Chair: Mr Abhijeet Patil

11:20 AM-11:30 AM Feature Fusion and Early prediction of mental health using hybrid Squeeze-MobileNet
Authored by:Vanita G. Kshirsagar, Dr. Sunil Yadav and Dr. Nikhil Karande
11:30 AM-11:40 AM Texture Feature Extraction Using Local Optimal Oriented Pattern (LOOP)
Authored by: Shital V. Sokashe-Ghorpade, Dr. S. A. Pardeshi
11:40 AM-11:50 AM Analysis and implementation of driver drowsiness, distraction and detection system
Authored by: Govind Singh Patel, Shubhada Chandrakant Patil, Akshata Adinath Patil, Rutuja Pravin Dahotre, Tejas Jitendra Pati
11:50 AM-12:00 PM Prediction of Emission Characteristics of Spark Ignition Engines with Premium Level Gasoline-Ethanol-Alkane Blends using Machine Learning
Authored by: Sujit Kumbhara, Sanjay Khotb, Varsha Jujarec, Vishal Patild, Avesahemad Hussainye, Kaustubha Shedbalkarf
12:00 PM-12:10 PM Kidney failure identification using augment intelligence and IOT based on integrated healthcare system
Authored by: Dr Shashidhar Gurav, Mr.Goutam Kamble, Mr.Prashant B. Patil, Dr Pooja Bagane
12:10 PM-12:20 PM ML-Based Rupture Strength Assessment in Cementations Materials
Authored by: Sheetal B Patil, Dr shashidhar Gurav, Belagavi, Karnataka, Karuna C. Gull
12:20 PM-12:30 PM Adaptive Coronavirus Mask Protection Algorithm enabled deep learning for Brain tumor detection and classification
Authored by: Kalyani Ashok Bedekar, Dr. Anupama Sanjay Awati
1.00 PM-2:00 PM LUNCH
Parallel Session-6 | 11.20 AM-1:00 PM | Online Mode
Session Chair: Dr. Akash Puhani

2:00 PM-2:20 PM Plenary Talk:
iacc2021  Dr. Balas Valentina Emilia, Professor, Aurel Vlaicu University of Arad, Academy of Romanian Scientists, Romania
2:30 PM-3:00 PM Valedictory

Presentation Guideline:

  1. The duration of the presentation is only 8 minutes followed by interaction.
  2. Author must finish the presentation within the allotted time.
  3. Authors are suggested to put maximum 8 slides in the presentation.
  4. 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 5 December 2023.
  5. If any author is not able to attend the session, they will send the 8 minutes (max) video in place of presentation slides.


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