Plant Disease detection using Image segmentation based on Convolutional neural network
NLP on Odia Corpora (iNLTK and indic NLP Library)
Ongoing Projects
Application of Machine Learning in Hyper spectral Image Analysis
Machine Learning Based Eye Health Care System
Leaf Disease Detection System
Automated Elephant Detection System to desist uncertain Railway accidents by unifying AI and IoT
Center Patents
S. Chakravarty, “Machine Learning Based Computer implemented method for managing production from a Hydrocarbon Reservoir”, Application number – 201941040224, Publication date - 25/10/2019.
S. Chakravarty, Automated Elephant Detection System to desist Railway accidents by unifying AI and IoT (Applied August 2020)
S. Chakravarty, "Automated Portable Diagnostic System and Method for the Patient in COVID Hospital", Application number – 202031035686, Publication date - 11/09/2020.
Dr. Sujata Chakravarty, Got Jhansi Rani Laxmibai Prativa Puraskar for Technical Education and Research on 8th March 2018 at Jayadev Bhaban, Bhubaneswar, Odisha.
Dr. Sujata Chakravarty, Editor-In- Chief, IEEE News-Letter, Bhubaneswar Sub-Section.
Dr. Sujata Chakravarty, Elevated as a Senior Member of IEEE, Year 2014.
Dr. Sujata Chakravarty,Elected as an Executive Committee Member IEEE Bhubaneswar Sub-section, November 2015.
Publications
N. Dash, S. Chakravarty (2020), Improved Harmony Search Extreme Learning Machine for Development of Intrusion Detection System, Neural Computing and Applications, Springer, (Comunicated).
Satyabrata Dash, S. Chakravarty (2020) A Mathematical Model for Analysis of COVID-19 Outbreak Using Von Bertalanffy Growth Function (VBGF), World Development, Elsevier, (Comunicated).Satyabrata Dash, S. Chakravarty (2020)
Manoj Kumar Behera, Rutuparnna Mishra, Anshit Ransingh, S. Chakravarty (2020), Segmentation of Hard Exudates in Retinal Fundus Images using Deep Convolutional Neural Network, International Journal of Advanced Science and Technology, Volume. 29, No. 6, pp-5192-5199.
Ankita Singh, Jatindra Kumar Dash, Biswajit Behura, S. Chakravarty (2020) Teaching Learning Based Optimized Support Vector Regression Model for Prediction of Indian Stock Market, International Journal of Advanced Science and Technology, Vol. 29, No. 5, (2020), pp. 3002 – 3015
Rutuparnna Mishra, Anshit Ransingh, Manoj Kumar Behera, S. Chakravarty (2020) Face Recognition based Smart Door Lock Using Raspberry Pi, Journal of Xidian University, Vol 14, Issue 5, pp 321-331.
Jatindra Kumar Dash, S. Chakravarty (2020) Novel Texture Feature for Content Based Image Retrieval, Test Engineering and Management, Vol 83, 17788 – 17800.
Satyabrata Dash, S. Chakravarty (2020) Security vulnerabilities in Application layer protocols for Machine-to-Machine (M2M) Communication, ADALYA JOURNAL, Volume 9, Issue 4, 248- 268.
Satyabrata Dash, S. Chakravarty (2020) Trustworthiness of Vulnerable VMs with Increasing Number of Attacks in Cloud Environment, Indian Journal of Natural Sciences, Vol.10 / Issue 59 / April / 2020, 18930- 18938.
Manoj Kumar Behera, S. Chakravarty (2020), Prediction of different Stages in Diabetic Retinopathy from Retinal Fundus Images using Radial Basis Function based Support Vector Machine, Indian Journal of Science and Technology, Accepted.
Purnima Lal, Puja Kumari, Soumya Samar Brahma, S. Chakravarty (2020), Detecting Malicious URLs Using Machine Learning Techniques, Indian Journal of Natural Sciences, Accepted
Payal Bhadra, Avijit Balabantaray, S. Chakravarty (2020) Automated Elephant Detection System to desist uncertain Railway accidents by unifying AI and IoT Indian Journal of Natural Sciences, Accepted
Chinmayee Chaini, S. Chakravarty (2020), ANT Colony Optimization based Artificial Neural Network for Classification of Breast Cancer Dataset Indian Journal of Natural Sciences, Accepted
Anshuman Khuntia, Chinmayee Chaini, S. Chakravarty (2020), Anomaly Based Intrusion Detection System Using Machine Learning Techniques Indian Journal of Natural Sciences, Accepted
Shanti Darshan Ray, Satya Naryan Pati, Prashant Kumar, Manoj Kumar Behera, S. Chakravarty (2020), Prediction of Glaucoma from Retinal Fundus Images using Support Vector Machine Indian Journal of Natural Sciences Accepted
Goutam Sahu, Manoj Kumar Behera, Rakesh Ray, S. Chakravarty (2020), Random Forest Frame Work for Crop Yield Prediction Indian Journal of Natural Sciences, Accepted
Rohit Kumar, Manjeet bhardwaj, Manoj Kumar Behera, Debases Das, S. Chakravarty (2020), Classification of Tomato Leaf Diseases using Image Processing and Machine Indian Journal of Natural Sciences, Accepted
Swati Sucharita Barik, Mamata Garanayak, Sasmita Kumari Nayak, “Transfer Learning:Approaches and Methodologies,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.852-855, 2019.
Swati Sucharita Barik, Sasmita Kumari Nayak, “Human Face Recognition using LBPH,” International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-6, March 2020.
Sasmita Kumarai Nayak, Swati Sucharita Barik, Mamata Beura,” Analysis of Infectious Hepatitis Disease with High Accuracy Using Machine Learning Techniques,” TEST Engineering & Management 83 (Vol. 83: May/June 2020), 14294-14302.
Sasmita Kumarai Nayak, Swati Sucharita Barik, Mamata Beura,” Weather Forecasts Based on Rainfall Prediction Using Machine Learning Methodologies,” Adalya Journal 9 (6), Page No : 72 – 80.
Sripada Swain, Sasmita Kumari Nayak, Swati Sucharita Barik,” A Review on Plant Leaf Diseases Detection and Classification Based on Machine Learning Models,” Mukt shabd 9 (6), 5195-5205.
Sasmita Kumari Nayak, Swati Sucharita Barik,” Real-time Object Detection and Recognition Using Deep Learning with YOLO Algorithm for Visually Impaired People,” Indian Journal of Natural Sciences, Vol.10, Issue 60, June – 2020.
Swati Sucharita Barik , Stiti prajna, Sasmita Kumari Nayak,”A Review on Human Facial Recognition Techniques,” Indian Journal of Natural Sciences 0976 – 0997, Vol.10, Issue 60, June – 2020.
Mohammed Siddique, S. Das and D. Panda (2017): Hybrid forecasting model for stock value prediction using soft computing technique, International Journal of Pure and Applied Mathematics, Vol. 117 (19); 357-363. ISSN:1311-8080
Mohammed Siddique, S. Mohanty and D. Panda (2018): A hybrid forecasting model for prediction of stock value of Tata steel using support vector regression and particle swarm optimization, International Journal of Pure and Applied Mathematics, Vol. 119 (14): 1719-1727; ISSN:1311-8080
Mohammed Siddique, S. Mohanty and D. Panda (2018): Daily stock market forecasting using kernel principal component analysis, support vector regression, and teaching learning based optimization, International Journal of Management, Technology and Engineering, Vol.8 (12) 3691-3704; ISSN: 2249-7455
Mohammed Siddique, S. Mohanty and D. Panda (2019): A hybrid model for forecasting of stock value of Tata steel using orthogonal forward selection, support vector regression and teaching learning based optimization, Far East Journal of Mathematical Sciences, Vol-113 (1): 95-114; ISSN: 0972-0871
Mohammed Siddique and D. Panda (2019): Prediction of Stock Index of Tata Steel using Hybrid Machine Learning Based Optimization Techniques, International Journal of Recent Technology and Engineering, Vol. 8 (2):3186-3193; ISSN: 2277-3878
Mohammed Siddique and D. Panda (2019): A hybrid forecasting model for prediction of stock index of Tata Motors using principal component analysis, support vector regression and particle swarm optimization, International Journal of Engineering and Advanced Technology, Vol.9(1): 3032-3037; ISSN: 2249 – 8958
Swati Sucharita Barik and Sujata Chakravarty Rainfall Prediction using Computational Intelligence Techniques: A Review, Vol 10, Issue 60, pp 25596- 25600
Mrutyunjoy Murmu, Aashirbad Maharan, Manoj Kumar Behera and S. Chakravarty Prediction of Cataract from Retinal Fundus Images using Gradient Boosting Algorithm Vol 10, Issue 60, pp 23908- 23912
Satya RanjanPrusty, Debasish Das and S. Chakravarty Air Quality Prediction by Machine Learning Technique Vol 10, Issue 60, pp 23918- 23922
Manoj Kumar Behera and S. Chakravarty An Image based Glaucoma Detection Technique using Support Vector Machine Vol 10, Issue 60, pp 23928 – 23933
Raj Kumar Sahoo, Debasish Das and S. Chakravarty COVID-19 Outbreak Prediction using Machine Learning Techniques Vol 10, Issue 60.
Tamal Datta, Manoj Kumar Behera and S. Chakravarty Customer Churn Prediction in Banking using Naïve-Bayes Algorithm Vol 10, Issue 60
Swagat Choudhury, Jayadev Das, Debasish Das and S. Chakravarty Drowsiness Detection System by using Viola Jones and Haar Cascade Algorithm, Vol 10, Issue 60
Mamata Garanayak, Goutam Sahu and S. Chakravarty Prediction of Breast Cancer using Machine Learning Techniques, Vol 10, Issue 60
Stitiprajna Panda , Soumya samar Brahma, Poulomi Maji1 and S. Chakravarty, Odia Handwriting Recognition: Way to find the Identity Vol 10, Issue 60, pp 23988- 23996
Satabdi Swain, Chinmayee Chaini and S. Chakravarty Short Term Electricity Price Forecasting For Deregulated Energy Market, Vol 10, Issue 60, pp 24012- 24019
Nitish Mahanand, Nitesh Kumar , Manoj Kumar Behera and S. Chakravarty Soil Health Monitoring using Machine Learning Techniques Vol 10, Issue 60, pp 24020- 24024
Malini Patel , Simran Subudhi , Debasish Das and S. Chakravarty, Twitter Sentiment Analysis using Computational Intelligence Techniques Vol 10, Issue 60, pp 24025- 24032
Rutuparnna Mishra, Anshit Ransingh, Manoj Kumar Behera and S. Chakravarty, Face Recognition Based Smart Door Lock Using Raspberry Pi Vol 10, Issue 60, pp 24506-24512
Sasmita Pradhan , Suvendu Kumar Nayak , Manoj Kumar Behera and S. Chakravarty, Prediction of Indian Petrol Price Using Machine Learning Algorithm, Vol 10, Issue 60, pp 24518- 24525
Papers Published in IEEE Conferences
Santosh Jhansi K, Sujata Chakravarty, Ravi Kiran Varma P, (2020) Feature Selection and Evaluation of Permission- Based Android Malware Detection, International Conference on Trends in Electronics and Informatics, (ICOEI 2020), Accepted
Das, M. Singh, S. S. Mohanty, S. Chakravarty (2020), Leaf Disease Detection Using Support Vector Machine, International Conference on Cryptography, Security and Privacy (ICCSP-2020). Accepted.
Goutam Agrawal, Rutuparnna Mishra, Anshit Ransing, Chakravarty (2020), Temperature Prediction from Fire Body Using Machine Learning Model, INDISCON-2020, IEEE Conference, Communicated
Rutuparnna Mishra, Anshit Ransingh, Manoj Kumar Behera, Chakravarty, (2020) Convolutional Neural Network based Door lock System, INDISCON-2020, IEEE Conference, Communicated
Manoj Kumar Behera, Chakravarty (2020), Diabetic Retinopathy Image Classification Using Support Vector Machine, IEEE International Conference on Computer Science, Engineering and Applications (ICCSEA 2020), GIET University, Gunupur, March 13-14, 2020 ICCSEA-2020.
Book Chapter
Paikaray, B. K., Dewangan, P., Swain, D., & Chakravarty, S. (2020). An Extensive Study on Medical Image Security with ROI Preservation: Techniques, Evaluations, and Future Directions. In Machine Learning and Information Processing (pp. 465-476). Springer, Singapore.
Padhi, B. K., Chakravarty, S., & Biswal, B. N. (2020). Anonymized Credit Card Transaction Using Machine Learning Techniques. In Advances in Intelligent Computing and Communication (pp. 413-423). Springer, Singapore.