MAIN TRACK
| Time (IST) | Day 1 (08-12-2022) | Day 2 (09-12-2022) | Day 3 (10-12-2022) |
| 9.00 AM – 10.30 AM |
Tutorial 1Speaker: |
Inaugural Session |
Invited Session 2Title: Impact of Data Science in Health Informatics Speaker: |
| 10.50 AM – 12.20 PM |
Tutorial 2Speaker: |
Technical Paper Presentation Session 1 (T1) | Technical Paper Presentation Session 3 (T7) |
| 1.00 PM – 2.30 PM |
Tutorial 3Speaker: |
Technical Paper Presentation Session 2 (T2) |
Invited Session 3Speaker: |
| 2.50 PM – 4.20 PM |
Tutorial 4Speaker: |
Invited Session 1Speaker: |
Technical Paper
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| 4.30 PM – 5.00 PM | – | – | Valedictory Session |
TECHNICAL TRACK 1: Pennai Hall
| Time (IST) | Day 1 (08-12-2022) | Day 2 (09-12-2022) | Day 2 (10-12-2022) |
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9.00 AM – 10.30 AM |
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10.50 AM – 12.20 PM |
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Technical Paper Presentation Session 5 (T3) |
Technical Paper Presentation Session 6 (T9) |
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1.00 PM – 2.30 PM |
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Technical Paper Presentation Session 7 (T4) |
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2.50 AM – 4.20 AM |
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Technical Paper Presentation Session 8 (T10) |
TECHNICAL TRACK 2 : Bharani Hall
| Time (IST) | Day 1 – 08-12-2022 | Day 2 – 09-12-2022 | Day 2- 10-12-2022 |
| 9.00 AM – 10.30 AM | – | – | – |
| 10.50 AM – 12.20 PM | – | Technical Paper Presentation Session 9 (T5) | Technical Paper Presentation Session 10 (T11) |
| 1.00 PM – 2.30 PM | – | Technical Paper Presentation Session 11 (T6) | – |
| 2.50 AM – 4.20 AM | – | – | Technical Paper Presentation Session 12 (T12) |
Technical Paper Presentation Session 1 (T1)Time: 10.50 AM to 12.20 PM Co-Chair: Dr. B. Sundarambal |
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| 1. | P Nagaraj, K. Muthamil Sudar, V. Muneeswaran, T Anurag, A Shankar Srinivas, V D M Pavan Kumar, V Ragava Saketh | A Novel Scheme for Papaya Fruit Disease Prediction and Classification using Convolution Neural Networks |
| 2. | Neha Mishra, Ankit Jhan, Ankit Singh and Saurabh Mishra | An Upgrade to Power Output of Solar Panel utilizing MPPT with Artificial Intelligence |
| 3. | Nikhil Gangaramani, Sahil Lotya, Akansha Ahuja, Shivani Kulkarni, Sujata Khedkar and Devesh Rajadhyax | Detection of ADR on Covid Vaccine Safety Data |
| 4. | Abhinand G and Poonam B N | An Efficient Stacking Ensemble Technique for Success Prediction of Indian Ventures |
| 5. | Nikita Anand Joshi, Geeth Kuldeep T and Karthikeyan B | Face Mask Detection Based Entry |
| 6. | Anantha Natarajan Vaithilingam, Bhavishya Gowni, Siddardha Byraboina, Surendra Natha Reddy Bana, Dathusai Gandla and Vidya Sree Golla | Detection of skin malignancy using Deep Convolutional Neural Networks with Transfer learning techniques |
| 7. | N Deepa, Sathya Priya J and Devi T | Online E-learning Mobile Application for Self-learning |
| 8. | Sarthak Choudhary, Sakshi Choudhary and Chandra Shakher Tyagi | Loan payment date prediction model using Exploratory data analysis Gradient boosting algorithm Support vector machine algorithm |
Technical Paper Presentation Session 2 (T2)Time: 1.00 PM to 2.30 PM Co-Chair : Dr. A.R. Kavitha |
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| 1. | S Menaka, S Hiranmayi, S Malavikka and B Shivani | A Reliable and Fast Automatic combination of Deep Features and Species Categorization using Unified Ensemble Layer |
| 2. | Rinki Gupta, Ashavanthini Krishna Thota and Mohd. Adeeb | Cough-based COVID-19 Detection with Multi-head Deep Neural Network |
| 3. | Shanmuganathan C, Sai Pranay, Ossama Md and Dinesh S | An Iterative Constraint Spectral Model for Ophthalmic disease detection using Transfer Learning |
| 4. | Veena B and Babu S | Face Mask and Helmet Facial Detection for ATM Security Using Image Processing in Cloud Computing |
| 5. | Naveen Chandra Gowda, Lingampally Shalini, Sunilkumar S. Manvi and Bryan Gardiner | Image Based Classification of Covid-19 Infection Using Ensemble of Machine Learning Classifiers and Deep Learning Techniques |
| 6. | Kanimozhi. J, Rohini. M.S, Mohanasuganthi. N, V. Swathilakshmi, Priyadharshini. A | Analysis on Chest X-ray and Computed Tomography images to detect COVID-19 based on deep learning techniques |
| 7. | Mohanasuganthi. N, Rohini. M.S, Kanimozhi. J, V. Swathilakshmi, V. Preethi | A state-of-the-art survey of machine learning in the Agricultural sector |
| 8. | Pitchai Manickam Bose, Kamalakannan P, Jayakumar S, Padmanaban S and Nithish Balaji M | Analysis on Forecasting of Loan using Supervised Machine Learning Models |
Technical Paper Presentation Session 2 (T3)Time: 10.50 AM to 12.20 PM Co-Chair : Dr. P. Kodhai |
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| 1. | Sathya R, Nirnai Rai, Palash Chaturvedi and C.H. Bhargava Phanindra | Life Expectancy Post Thoracic Surgery using Machine Learning |
| 2. | R Sathya, Arpit Rastogi, Shubham Singh and Ankit Kumar | Weather Based Future Rain Prediction Using Machine Learning with Flask Framework |
| 3. | Vishal Chandar R and Madhavan P | Securing Iot Medical Data using Cryptography and Steganography |
| 4. | T.C. Sabareeswari, Paturi Vamsi, Pudi Tharun Kumar | Estimating of Noise Patterns by Satellite Image using ELBP and SVM |
| 5. | Swati Singh | Improving the strategy choices of Kabaddi players using Game Theory |
| 6. | Aryan Ashar, Vanshika Sabhani, Namrata and Durga Prasad Bavirisetti | Classification Of Magnetic Resonance Imaging (MRI) Scans For Brain Tumor Using Improved EfficientNet Architecture And Transfer Learning |
| 7. | Saif Alattar and Abdullahi Abdu Ibrahim | Performance Enhancement of Conventional Microstrip Patch Antenna Based on Intelligent FSS Superstrate |
| 8. | Nirmalkumar S. Benni and Sunilkumar S. Manvi | Chennel Allocation Scheme to Mitigate Interference in 5G Backhaul Wireless Mesh Networks |
Technical Paper Presentation Session 2 (T4)Time : 1.00 PM to 2.30 PM Co-Chair : Dr. S. Pavithra |
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1. |
Pankaj P, Snigdha Sen and Pavan Chakraborty | A novel classification based approach for quicker prediction of redshift using Apache spark |
| 2. | Lokesh Koti, Venkatesh Pusarla and Manivannan D | Discovering Lung Cancer Cell Using Machine Learning |
| 3. | Ashok M, Chinnasamy A, Kumar Ramasamy, Benjamin Douglas and Hrithick Gokul | A Systematic Survey on Personalized Learning Framework based Recommendation System |
| 4. | Pachaivannan Partheeban, M. Shiva, J Vishnupriyan, R. Ponnusamy, T. Sathish Kumar | Solar Energy Optimisation Using IOT and Deep Learning |
| 5. | K Alice, N Deepa and Devi Thiyagarajan | Plant Disease detection using Enhanced EfficientNet architecture in comparison with DenseNet to analyze the severity in leaves with performance measures |
| 6. | I. Mettildha Mary, R. C. Jeffrin Goldwin, T. P. Mathi Varshini and N. Meena Nandhini | Detecting Hostellers Using Face Recognition |
| 7. | R O Aashvina, S Monika, S Priyanivethitha, R Perumalraja and P Suresh Babu | An IoT and ML-based Poultry Waste Management System |
| 8. | Puneet Mahajan | Textual Data Quality at Scale for High Dimensionality data |
Technical Paper Presentation Session 2 (T5)Time : 10.50 AM to 12.30 PM Co-Chair : Dr. S. Anbarasan |
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1. |
Bakkialakshmi. V.S and Sudalaimuthu T | Emotional Psychological Impacts of Online Learning Students during Pandemic and Education Trend in Post-Pandemic. |
| 2. | Supriya U, Madhumathi Ramasamy and Reshma Sulthana | An Analysis of Deep Learning Models for Breast Cancer Mammography Image |
| 3. | Madhumathi R, Arumuganathan T, Shruthi R and Sneha Iyer R | Intelligent Time-based Irrigation System using Internet of Things and Machine Learning |
| 4. | Kalaiselvi Vkg, Shanmugasundaram Hariharan, Subha Rajan, Theerej C and Yokeshwaran S | Malware Detection Using Dynamic Analysis |
| 5. | R. Prabavathi, Abhishek Verma, Rohith S, Boobeshwaran K | Krishi Nanban: AI Driven Precision Agriculture |
| 6. | V.Deepa, P.Mohamed Fathimal | Lung cancer prediction and Stage classification in CT Scans Using Convolution Neural Networks -A Deep learning Model |
| 7. | V.K. Gnanavel, R.Sukanya, Viyanney Maria Joseph.H, Veeramalai S | GUI Base Prediction of Heart Stroke Stages by Finding the Accuracy using Machine Learning Algorithm |
| 8. | V.K. Gnanavel, V. Nandhini, B.Sam Jayaraj, Veeramalai S | Cognitive Based Approach for Intellectually Disabled Person |
Technical Paper Presentation Session 2 (T6)Time: 1.00 PM to 2.30 PM Co-Chair : Dr. S. Veeramalai |
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1. |
Udhayabanu Elangovan, Ranganathn Ranihemamalini, Pachaivannan Partheeban | Monitoring Hazardous Pollutants Using Smart Sensors and WSN |
| 2. | Latha R, R.M. Bommi | Detection of De-authentication Threats in Wi-Fi Channels Using Machine Learning Strategies |
| 3. | M. Muthamilarasan, R. Ponnusamy | A Hybrid CNN and GRU-based Spatial-temporal Marburg Virus Disease Hotspot Association Mining for health management in Kenya |
| 4. | Anantha Reddy Dasari, Jyothsna Kandi, Manoj Kumar V, Saroj Shambharkar, Chandrashekhar N Bhoyar and Rachna Somkunwar | Face Recognition Automated System for Visually Impaired Peoples Using Machine Learning |
| 5. | Charumathy Mani, B. Shanthini, R. Rani Hemmalini, Pachavannan Partheeban | Design and Fabrication of Nano-Sensors for Real Time Air Quality Monitoring |
| 6. | Poornima Jayaraman, Kothalam Krishnan Nagarajan, Pachaivannan Partheeban | A Review on Artificial intelligence Algorithms and machine learning to predict the quality of ground water for Irrigation purposes |
| 7. | T. Sathish Kumar, R. Ponnusamy, K. Deepa , S. Rajes Kannan, Pachaivannan Partheeban, Ranganathn Ranihemamalini | Finger vein based Human Identification and Recognition using Gabor Filter |
| 8. | Sujith K, Arsh Goyal, Anand Vardhan Hegde
Shreya Chowdhury, Ramamoorthy Srinath |
Twitter Bot Detection and Ranking using Supervised Machine Learning Models |
Technical Paper Presentation Session 1 (T7)Time: 10.50 AM to 12.20 PM Co-Chair: Dr. S.K. Muthusundar |
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| 1. | Chokiyan Karthikeyini, RM Bommi, V.Jacintha, Suresh Subramanian, Balaraman Sundarambal | Excogitation of Stacked Strategy for Coronary Artery Disease Diagnosis |
| 2. | Kalaiselvi VKG, Shanmugasundaram Hariharan, Subha Rajan, Theerej C and Yokeshwaran S | Malware Detection Using Dynamic Analysis |
| 3. | Muneeswaran. V , BudatiRamu, Cheemakurthi Sai Pavan, EdigaYoganand, Kodali Gnana Prakash, Nagaraj P | Voting System using Facial and Finger Print Authentication |
| 4. | Nayana Shenvi, Hassanali Virani and Chandrasekhar Enamundram | Forecasting of Ionospheric Total Electron Content Data using Autoregressive Distributed Lag Model for Mid-Latitude Region During Solar Minimum and Maximum |
| 5. | Arul Raj . A.M , Sugumar R | Monitoring of the social distance between passengers in real-time through video analytics and deep learning in railway stations for developing the highest Efficiency |
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| 7. | Anirudh Ravikumar, Rohit P N, Mydhili K Nair and Vimal Bhatia | Hyperspectral Image Classification Using Deep Matrix Capsules |
| 8. | RahulBaba Ciriyala, Naveen Uppalapati, RushikeshReddy Nelavai, SaiKrishna Kunku, Jeyaranjani J, Nagaraj P | E-Voting Based on Face Recognition |
| 9. | Nagaraj P, Muneeswaran. V , BudatiRamu, Cheemakurthi Sai Pavan, EdigaYoganand, Kodali Gnana Prakash | Analysis of Spam Messages Using Various Machine Learning classifier |
Technical Paper Presentation Session 2 (T8)Time : 2.50 PM IST – 4.20 PM Co-Chair : Dr. J. Venkatesh |
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| 1. | Archana N, Menaka R, Kalidass S , Jothi Raj T | Smart Home Surveillance System and Intruder Detection Using Local Binary Pattern Histogram |
| 2. | Kannappan A, R.M. Bommi | An Improved Energy Efficient Chimp Optimization Routing Algorithm for Underwater Acoustic Sensor Networks |
| 3. | Voravarun Pattana-anake, Ferdin Joe John Joseph, Pachaivannan Partheeban | Data Wrangling for IoT Based Aquarium Water Quality Management System |
| 4. | Nagaraj P, Muneeswaran V, Muthamil Sudar K, Tejaswini C, Indu K and Bhavya G | Edge Computing and Deep Learning Based Urban Street Cleanliness Assessment System |
| 5. | Jai Jaganath Babu Jayachandran, Sivabalan Ambigapathy, Abirami P, Ishwaryalakshmi K | MRI image Analysis in Identification of Bone Cancer Using Laws features and CNN |
| 6. | Poornima.J, K.P.Aswathi, Rithul M, SureandarM P | Intelligent Military Robot For Intruder Detection Using Matlab With Machine Learning Technique |
| 7. | Pandimmena R Bhuvaneswari S Aravind Kumar TS Mohanram P | Detection of Lung Cancer using Artificial Neural Networks |
| 8. | Perumal. B, Muneeswaran. V , Nagaraj P, , Ferasian. C, GodwinC, Sathish Kumar. A | Tumor Identification in CTScan/UltraSound Using Deep Learning Technique |
Technical Paper Presentation Session 1 (T9)Time: 10.50 AM to 12.20 PM Co-Chair: Dr. Kirubakaran |
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1. |
Sheena A D, Anuradha B, Packialakshmi S | Integration of ALOHA- MARPLOT in the Real Study of Monitoring Air Quality Measures |
| 2. | Nandhini T J, K Thinakaran | CNN based Moving Object Detection from Surveillance Video in Comparison with GMM |
| 3. | M S Antony Vigil , M Mirthula, Sure Sarvagna , R Supraja | DNA Sequencing Using Machine Learning Algorithms |
| 4. | B. Narendra Kumar Rao, Pachaivannan Partheeban, Beebi Naseeba, Hemadri Prasad Raju | ML Approaches to Detect Email Spam Anomaly |
| 5. | S.K.Muthusundar, S.B.Gurav, Kavinkumar.S, Harish.P, Aswin R B | Scandalous Face Detection Using LPB Algorithm |
| 6. | M Jenila Vincent, P Varalakshmi, Nithya U, Sona S, Amy Merin Thomas | Land Use Land Cover Change Detection using Semi-Automatic Classification- A Case Study in Chennai, Tiruvallur and Kanchipuram Districts |
| 7. | Dilli Ganesh V, R.M. Bommi | Prediction of Tool Wear by Using RGB Techniques in Comparison with Experimental Analysis |
| 8. | Mahalakshmi .S, Rajeswari.C.,Jose Anand A,Rahul AV | Client Authentication by Signature Verification Method Using Robotic Process Automation (RPA) |
Technical Paper Presentation Session 2 (T10)Time : 2.50 PM IST – 4.20 PM Co-Chair : Dr. L. Ramalingam |
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| 1. | V. Arthi, R. Murugeswari, P. Nagaraj | Object Detection of Autonomous Vehicles under Adverse Weather Conditions |
| 2. | H. Shalma, P. Selvaraj | Deep-Learning Based Object Detection and Shape Recognition in Multiple Occluded Images |
| 3. | P. Suresh Kumar, S.Menaka, S. Meenakshi | Performance Enhancement of Improved Distinct Clustering Identification Algorithms for Multidimensional Datasets |
| 4. | S.B.Gurav, S.K.Muthusundar, Maurus Maria Rubenson, V.S.kisore | Convolution Neural Networks Machine learning model to classify the polarity of tweet using gensim word2Vec |
| 5. | S.V. Suryanarayana, G.N. Balaji | Using Computer Vision to enhance Safety in a Post COVID World |
| 6. | A.Seetharam Nagesh, G.N. Balaji | Deep Learning approach for recognition and classification of Tomato fruit diseases |
| 7. | Megala G, Venkatesan R, T. Vigneshwaran | Video Face Anonymization for Preserving Privacy |
| 8. | N. Balakrishna, Gurram Sunitha, K.Reddy Madhavi, Avula Karthik | Tomato Leaf Disease Detection Using Deep Learning: A CNN Approach |
Technical Paper Presentation Session 1 (T11)Time: 10.50 AM to 12.20 PM Co-Chair: Dr. P. Karthikeyan |
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1. |
Ch. Venkata Sasi Deepthi, A.Seenu | A Systematic Review on OCRs for Indic Documents and Manuscripts |
| 2. | D.Sudarsana Murthy, Madduru Poojith Kumar Reddy, V. Siva Prasad, K.Aman, K.Reddy Madhavi, Gurram Sunitha | An Investigative Study of Shallow, Deep and Dense Learning Models for Breast Cancer Detection based on Microcalcifications |
| 3. | Gayatri Ramakrishnan, Mirza Rehan, G.Sujatha | Solidity Vulnerability Scanner |
| 4. | Srivardhan Rengan, Nishanth Sm, Susiendiran Velu, Kaarthikeyan S and Dhanasekaran Arumugam | Improving the performance of SoC’s with ecosystem based artificial intelligence and enhanced thermal and power management |
| 5. | K. Vivek Balaji, R. Sugumar | A Comprehensive Review of Diabetes Mellitus Detection and Prediction using Deep Learning Techniques |
| 6. | Andhoju Karthikeya, Vansh Nawander, T G Thirumalesh, Nerella Chaithra Reddy, Shanmugasundaram Hariharan | Responder system in a non-invasive scenario using artificial intelligence |
| 7. | S. Visnu Dharsini, M. Abdul Razak, Palleti Karthikeya Reddy, Smit Modi, Sarthak Bhatnagar | Captioning Based Image Using Euclidean Distance and ResNet-50 |
| 8. | W. Ancy Breen, N. Nikhil Anirudh, S. Abhishek, M. Ganga Prasad, Yash Chaudhary | Counting And Characterization of Platelets Using Machine Learning Morphology |
Technical Paper Presentation Session 2 (T12)Time : 2.50 PM IST – 4.20 PM Co-Chair : Dr. T. Preethiya |
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1. |
Visnu Dharshini, Karthik K, M. Gopichandd, Jorige Venkatesh, Sabarish S | Advanced Road Lane Line Detection |
| 2. | S. Visnu Dharshini, Abhishek Sriramoju, Narahari Kamath, Nikhil Anurag, Yash Chaudhary | Devnagiri Character Image Recognition and Conversion into Text using Long Short-Term Memory |
| 3. | E Shanmugapriya, P.Velvizhy, K.Arul Deepa | Neural Style Transfer with Distortion Handling for Audio and Image |
| 4. | P.Selvaraj, Utsav Porwal, Aditya Singh | Hybrid Music Recommendation System Utilizing Item Popularity and Content-Based Filtering |
| 5. | K. Hemalatha, K.Somasundram | An Optimized Clustering and Improved Elman Recurrent Neural Network Based Data Aggregation Protocol For IOT Enabled WSN |
| 6. | Venkatesh J | Analysis of time and space complexion of array, linked list and linked array(hybrid) in linear search operation |
| 7. | Kavitha.A.R, A.Gayathri | Human Gait Recognition system for viewpoint variation in Visual surveillance system using Siamese Deep convolutional Neural Network |
**If you need any revision or if your paper is missing, please send an email to [email protected]