Journals (SCI, Scopus, WoS)

2025

April-2025

1. A. Chaudhari, A. A. Hitham Seddig, R. Raut and A. Sarlan, "FedRecSys: A Federated Learning-Based Recommender System for Concept Drift Adaptation," in IEEE Access, vol. 13, pp. 66478-66491, 2025, doi: 10.1109/ACCESS.2025.3557045, https://ieeexplore.ieee.org/abstract/document/10947686

2024

October-2024

2. Chaudhari A, Alhussian H, Sarlan A, Raut R. A Hybrid Recommendation System: A Review. IEEE Access. 2024 Oct 14. https://ieeexplore.ieee.org/abstract/document/10716623

June-2024

3. Akram J, Aamir M, Raut R, Anaissi A, Jhaveri RH, Akram A. AI-Generated Content-as-a-Service in IoMT-Based Smart Homes: Personalizing Patient Care With Human Digital Twins. IEEE Transactions on Consumer Electronics. 2024 Jun 3.  https://ieeexplore.ieee.org/abstract/document/10547221

2023 

Dec-2023

4. " Accelerating prediction of RNA secondary structure using parallelization on multicore architecture", Sadhana - Academy Proceedings in Engineering Sciences, Springer, SCI, Q2 , 19 December, 2023, 49(1), 6 , https://doi.org/10.1007/s12046-023-02343-5 

5. "Lightweight Security Algorithm for Wireless Sensor Network Computer Security", International Journal of Intelligent Systems and Applications in Engineering, 12(4s), pp. 147–157, Scopus, Q3 Dec-2023

6. " Depression Therapy Chat-Bot using Natural Language Processing", International Journal of Intelligent Systems and Applications in Engineering, 12(2s), pp. 181–187 , Scopus, Q3 Dec-2023

July-2023

7. "An Analytical Approach on Various Deep Learning Models for Image Classification", International Journal of Intelligent Systems and Applications in Engineering, 11(7s), 593–605. Scopus, Q3 July-2023, https://ijisae.org/index.php/IJISAE/article/view/2996 

8.  "Image Captioning Using ResNet RS and Attention Mechanism", International Journal of Intelligent Systems and Applications in Engineering, 11(7s), 606–613. Scopus, Q3 https://www.ijisae.org/index.php/IJISAE/article/view/2997 

9. Dynamic hidden feature space detection of noisy image set by weight binarization, Signal, Image and Video Processing (2022), Springer, SCI, Q2, Scopus , https://doi.org/10.1007/s11760-022-02284 

January-2023

10. "Water and wastewater quality prediction: current trends and challenges in the implementation of artificial neural network." Environmental Monitoring and Assessment 195.2 (2023): 321, SCI, Q2 Scopus, https://link.springer.com/article/10.1007/s10661-022-10904-0

2022

August-2022

11. Transfer Learning for Audio Waveform to Guitar Chord Spectrograms Using the Convolution Neural Network, Mobile Information Systems (2022), published by Wiley and Hindawi (2022), SCI, Scopus, 31 Aug 2022 https://doi.org/10.1155/2022/8544765 

12. A review on machine learning strategies for real-world engineering applications, Mobile Information Systems 2022,  published by Wiley and Hindawi (2022), published by Wiley and Hindawi (2022), SCI, Scopus 28 Aug, 2022,  https://doi.org/10.1155/2022/1833507 

13.  NNPCov19: Artificial Neural Network-Based Propaganda Identification on Social Media in COVID-19 Era." Mobile Information Systems 2022 (2022), SCI, Scopus: 1-10,  https://doi.org/10.1155/2022/3412992 

July-2022 

14. Deep Learning for Intrusion Detection and Security of Internet of Things (IoT): Current Analysis, Challenges, and Possible Solutions, SCI, Scopus and Web of Science  Indexed Journal “Security and Communication Networks” published by Wiley and Hindawi, Volume 2022, Article ID 4016073 | https://doi.org/10.1155/2022/4016073

15. Analysis of Cross-Domain Security and Privacy Aspects of Cyber-Physical Systems, Int J Wireless Inf Networks (2022), Springer, Scopus, 04 July 2022 https://doi.org/10.1007/s10776-022-00559-6

16. Blockchain-Based Optimization Model for Evaluating Psychological Mental Disease and Mental Fitness, Computational Intelligence and Neuroscience 2022 (2022), SCI, Scopus,  https://doi.org/10.1155/2022/8657313 

June-2022

17. FPGA-Based Deep Learning Models for Analysing Corona Using Chest X-Ray Images, SCI, Scopus and Web of Science, Mobile Information Systems, published by Wiley and Hindawi (2022) Volume 2022 |Article ID 2110785 | https://doi.org/10.1155/2022/2110785

18. From Blackbox to Explainable Medical AI: Existing Tools and Case Studies, SCI, Scopus and Web of Science, Mobile Information Systems, published by Wiley and Hindawi (2022), Volume 2022 |Article ID 8167821 | https://doi.org/10.1155/2022/8167821, 13 June, 2022

May-2022

19. Improved resilience of secret sharing scheme with augmented multifarious features, Scopus, Int. j. inf. tecnol. (2022). https://doi.org/10.1007/s41870-022-00941-w, 14 May, 2022

20. Robust Authentication System with Privacy preservation of Biometrics, SCI, Scopus and Web of Science  Indexed Journal “Security and Communication Networks” published by Wiley and Hindawi, Volume 2022 |Article ID 7857975 | https://doi.org/10.1155/2022/7857975, May-2022

2019

21. "Students performance prediction using hybrid classifier technique in incremental learning", Published in International Journal of Business Intelligence and Data Mining, Scopus Vol 15, no. 2, 31st May, 2019, 10.1504/IJBIDM.2019.101255.  https://www.inderscience.com/info/inarticle.php?artid=10125

Book Chapters (Scopus Indexed)

2023

1. "Generative Adversarial Networks for Video-to-Video Translation." Generative Adversarial Networks and Deep Learning: Theory and Applications 4 (2023): 4-4. 

2. "Beyond Image Synthesis: GAN and Audio." Generative Adversarial Networks and Deep Learning: Theory and Applications (2023). 

3. "Security Issues in Generative Adversarial Networks." Generative Adversarial Networks and Deep Learning: Theory and Applications (2023). 

4. "Image Editing Using Generative Adversarial Network." Generative Adversarial Networks and Deep Learning: Theory and Applications (2023). 

5. Generative Adversarial Networks and Its Use Cases." Generative Adversarial Networks and Deep Learning: Theory and Applications (2023). 

2022

6. "Machine‐Learning Techniques for Deaf People." Machine Learning Algorithms for Signal and Image Processing (2022): 201-217. 

7. Accelerating Polynomial Based Image Secret Sharing Using Hadoop, Springer book chapter “Emerging Converging Technologies and Biomedical Systems”, Lecture Notes in Electrical Engineering, Springer, Singapore, March-2022. https://www.springerprofessional.de/en/accelerating-polynomial-based-image-secret-sharing-using-hadoop/20248170

8. Neurorehabilitation Robots Review: Towards a Mechanized Process for Upper Limb, Intelligent Systems for Rehabilitation Engineering, Scrivener Wiley, USA, https://doi.org/10.1002/9781119785651.ch2, Jan-2022, https://onlinelibrary.wiley.com/doi/10.1002/9781119785651.ch2

9. Use of Assistive Techniques for the Visually Impaired People, Intelligent Systems for Rehabilitation Engineering, Scrivener Wiley, USA, https://doi.org/10.1002/9781119785651.ch5, Jan-2022, https://onlinelibrary.wiley.com/doi/10.1002/9781119785651.ch5

10. IoT-Assisted Smart Device for Blind People, Intelligent Systems for Rehabilitation Engineering, Scrivener Wiley, USA, https://doi.org/10.1002/9781119785651.ch6, Jan-2022. https://onlinelibrary.wiley.com/doi/10.1002/9781119785651.ch6

11. Hand-Talk Assistance: An Application for Hearing and Speech Impaired People, Intelligent Systems for Rehabilitation Engineering, Scrivener Wiley, USA, https://doi.org/10.1002/9781119785651.ch9, Jan-2022. https://onlinelibrary.wiley.com/doi/10.1002/9781119785651.ch9

12. Green IoT for Smart Transportation: Challenges, Issues, and Case Study,  Green Internet of Things and Machine learning: Towards a smart sustainable world, December 2021, https://onlinelibrary.wiley.com/doi/abs/10.1002/9781119793144.ch10

13. Logistic Regression Learning Model for Concept Drift with Unbalanced Data in Credit Card Fraud Detection System, Advances in Intelligent Systems and Computing, Springer, Vol. 380, No. 2, pp.681-689, 2015.

14. Efficient Knowledge Transformation for Incremental Learning and Detection of New Concept Class in Students Classification System, Advances in Intelligent Systems and Computing, Springer, Vol. 340, No. 2, pp.757-766, Jan 2015.

15. A Software Project Risk Analysis Tool Using Software Development Goal Modeling Approach, Advances in Intelligent Systems and Computing, Springer, Vol. 340, No. 2, pp.767-777, Jan 2015.

Conferences (Scopus Indexed)

2024

2023

1. Modak, Aachal, et al. "Disease Detection in Rice leaves using Convolutional Neural Network." 2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC). IEEE, 2023. 

2. Sonawane, Chaitanya, et al. "Diabetic Prediction Using Machine Algorithm SVM and Decision Tree." 2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC). IEEE, 2023. 

3. Pate, Raj, et al. "Sentiment Analysis of Tweets Using Machine Learning Algorithms." 2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC). IEEE, 2023. 

4. S. Deshmukh, A. Rathod, H. Sonawane, R. Raut and A. Devkar, "Skin Cancer Classification Using CNN," 2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC), Dharwad, India, 2023, pp. 1-5, doi: 10.1109/ICAISC58445.2023.10199440. 

5. K. Meshram, H. Jadhav, N. Narsale, R. Raut and A. Devkar, "Image Generation from Random Noise using Generative Adversarial Networks," 2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES), Greater Noida, India, 2023, pp. 381-385, doi: 10.1109/CISES58720.2023.10183425. 

6. A. Mhasawade, G. Rawal, P. Roje, R. Raut and A. Devkar, "Comparative study of SVM, KNN and Decision Tree for Diabetic Retinopathy Detection," 2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES), Greater Noida, India, 2023, pp. 166-170, doi: 10.1109/CISES58720.2023.10183456. 

7. R. Patil, S. Patil, N. Todakari, A. Devkar and R. Raut, "Earthquake Depth & Magnitude Prediction Model Using Artificial Neural Network," 2023 4th International Conference for Emerging Technology (INCET), Belgaum, India, 2023, pp. 1-5, doi: 10.1109/INCET57972.2023.10170413. 

8. R. M. Putra, E. H. Yossy, Suharjito, I. P. Saputro, D. Pratama and T. Prasandy, "Face Mask Detection using Convolutional Neural Network," 2023 8th International Conference on Business and Industrial Research (ICBIR), Bangkok, Thailand, 2023, pp. 133-138, doi: 10.1109/ICBIR57571.2023.10147730. 

9. D. Ojha, A. Pawar, G. Kasliwal, R. Raut and A. Devkar, "Driver Drowsiness Detection Using Deep Learning," 2023 4th International Conference for Emerging Technology (INCET), Belgaum, India, 2023, pp. 1-4, doi: 10.1109/INCET57972.2023.10169941. 

10. Raut, Roshani, et al. "Undergraduate College Admission Prediction System Using Decision Tree Classifier." Micro-Electronics and Telecommunication Engineering: Proceedings of 6th ICMETE 2022. Singapore: Springer Nature Singapore, 2023. 297-308. 

11. Raut, Roshani, et al. "Intelligent Information System for Detection of COVID-19 Based on AI." Proceedings of 3rd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications: ICMISC 2022. Singapore: Springer Nature Singapore, 2023. 

12. Rajput, Divya, et al. "Plant Quality Assessment and Disease Identification System Using AI." Proceedings of 3rd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications: ICMISC 2022. Singapore: Springer Nature Singapore, 2023. 

13. Raut, Roshani, Prem Jadhav, and Abha Bodas. "Image-Based Plant Disease Detection and Classification Using Deep Convolution Neural Network." Proceedings of 3rd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications: ICMISC 2022. Singapore: Springer Nature Singapore, 2023. 

2022

14. Chaudhari, Anagha, et al. "A Comprehensive Study on Recommendation Engines." 2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA. IEEE, 2022. 

15. P. Chavan, K. Ambavade, S. Bajad, R. Chaudhari and R. Raut, "Smart Blind Stick," 2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA, Pune, India, 2022, pp. 1-4, doi: 10.1109/ICCUBEA54992.2022.10010707. 

16. Chaudhari, Anagha, Aliza Sarlan, and Roshani Raut. "A Systematic Analysis of Federated Learning." 2022 International Conference on Digital Transformation and Intelligence (ICDI). IEEE, 2022. 

17. Classification of Fruits using Convolutional Neural Networks," 2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), 2022, pp. 1-4, doi: 10.1109/ICAECT54875.2022.9808070.

18. Traffic Signs Recognition and Detection using Deep Convolution Neural Networks for Autonomous Driving," 2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT), 2022, pp. 207-214, doi: 10.1109/CSNT54456.2022.9787584.

19. Accelerating Polynomial-Based Image Secret Sharing Using Hadoop. Emergent Converging Technologies and Biomedical Systems Lecture Notes in Electrical Engineering, vol 841. Springer, Singapore, 24 March-2022, https://doi.org/10.1007/978-981-16-8774-7_6

20. "Single Shot Detector Based Object Detection For Visually Impaired People," 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT), 20-22 Jan, 2022, pp. 1378-1385, doi: 10.1109/ICSSIT53264.2022.9716230. https://ieeexplore.ieee.org/document/9716230

21. "Smart Indoor Navigation, Shopping Recommendation & Queue less billing based shopping assistant using AI," 2021 International Conference on Artificial Intelligence and Machine Vision (AIMV), 24-26 Sept, 2021, pp. 1-4, doi: 10.1109/AIMV53313.2021.9670948. https://ieeexplore.ieee.org/document/9670948

22. Real-Time Driver’s Eye Closure, Yawning Detection for Drowsiness Analysis and Gazing Detection for Distraction Analysis.  Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 1286. Springer, 29-June-2021, Singapore. https://doi.org/10.1007/978-981-15-9927-9_91 

23. MLP-based undersampling technique for imbalanced learning, IEEE International Conference on Automatic Control and Dynamic Optimization Techniques, ICACDOT, 9-10 Sept. 2016. http://ieeexplore.ieee.org/document/7877567/

24. Enhancing performance of keyword query over structured data, IEEE International Conference on Computing Communication Control and Automation (ICCUBEA), 12-13 Aug, 2016. http://ieeexplore.ieee.org/document/7860009/

25. Dynamic sampling approach with MLP and Cart, IEEE International Conference on Automatic Control and Dynamic Optimization Techniques, ICACDOT, 9-10 Sept. 2016, http://ieeexplore.ieee.org/document/7877622/

26. Logistic Regression Learning Model for Concept Drift with Unbalanced Data in Credit Card Fraud Detection System, Second International Conference on Computer and Communication Technologies, IC3T, Springer, CMR Technical, Hydrabad, India, pp. 681-689, 23-24 July, 2015.

27. Efficient Knowledge Transformation System Using Pair of Classifiers for Prediction of Students Career Choice”, International Conference on Information and Communication Technologies, ICICT, Procedia Computer Science, Sciencedirect, Dec 2014.

28. Cloud data Security for goal driven global software engineering projects, International Conference on Information and Communication Technologies, ICICT, Procedia Computer Science, Sciencedirect, Dec 2014.

29. “Incremental Learning in Students Classification System with Efficient Knowledge Transformation” IEEE Conference on Parallel, Distributed and Grid Computing, PDGC Dec 2014. IEEE Catalog no. CFP1434K-ART; ISBN:78-1-4799-7683-6.

30. Genetic Algorithm based Feature Selection Approach for Effective Intrusion Detection System, IEEE International conference, ICCCI, Dec, 2014, Coimbatore.

31. “Classification of students by using an incremental ensemble of classifiers”, published in 3rd IEEE International Conference On Reliability, Infocom Technologies and optimization, pp. 61-65, ICRITO- 8-10 Oct 2014. ISBN-978-93-83083-99-2.

32. “An incremental ensemble of classifiers as a technique for prediction of student's career choice”, published in IEEE International conference on network and soft computing, pp. 427-430, ICNSC, July 2014. ISBN: 978-1-4799-3486-7/14.

33. Classification of Students by Using Multilayer Perceptron, 3rd International Conference on Recent Trends in Engineering and Technology, ICRTET-2014, Elsevier,pp-439-444, 28-30 March, 2014.

Google Scholar

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2. Practical Issues in Robotics Internet of Things, Machine Vision for Industry 4.0, Applications and Case Studies, CRC Taylor and Francis, 23 March, 2022, https://doi.org/10.1201/9781003122401, ISBN: 9781003122401

3. "Use of Artificial Intelligence (AI) in Fighting With the Novel Coronavirus (COVID-19)", Source Title: Examining the Impact of Deep Learning and IoT on Multi-Industry Applications , IGI Global, USA, DOI: 10.4018/978-1-7998-7511-6.ch00

4. Learning from unbalanced stream data in non-stationary environment using logistic regression model: A Novel approach using machine learning for assessment of credit card frauds, Handbook of Research on Natural computing for optimization problem, ACIR, IGI Global, pp. 561-582, 2016. https://www.igi-global.com/chapter/learning-from-unbalanced-stream-data-in-non-stationary-environments-using-logistic-regression-model/153829

5. Classification of Students by using V-Incremental Learning Based on Regression Learning Model, Third Post Graduate Conference on Computer Engineering, Nashik, Elsevier, 1320-1330, 28-29 March, 2014.

6. Efficient Methods for Incremental Learning under Non-stationary Environment from Imbalanced Data Stream, Third Post Graduate Conference on Computer Engineering, Nashik, Elsevier, 1308-1319, 28-29 March, 2014.

7. A review: Social Media Data Mining for Understanding and Analyzing Different Issues in Society,First National Conference on Advanced in Computing, NCAC, pp. 1-4, Sept, 2015, IJCA, 0975-8887.

8. Trinity for web data extraction using efficient algorithm, First National Conference on Advanced in Computing, NCAC, pp. 18-22, Sept, 2015, IJCA, 0975-8887.

9. Effective FAST and Fuzzy ART MAP Performance to detect intrusion. , First National Conference on Advanced in Computing, NCAC, pp. 29-33, Sept, 2015, IJCA, 0975-8887.

10. Review: the secret sharing algorithm for data security in the cloud, First National Conference on Advanced in Computing, NCAC, pp. , Sept, 2015, IJCA, 0975-8887.

11. Patient controlled encryption using key aggregation with blowfish algorithm, First National Conference on Advanced in Computing, NCAC, pp. , Sept, 2015, IJCA, 0975-8887.

12. Intrusion detection based on incremental combining classifiers, First National Conference on Advanced in Computing, NCAC, pp. 37-41 , Sept, 2015, IJCA, 0975-8887.

13. A review on imbalanced learning methods, First National Conference on Advanced in Computing, NCAC, pp. 23-27 , Sept, 2015, IJCA, 0975-8889.

14. A case study: Stream Data Mining Classification, First National Conference on Advanced in Computing, NCAC, pp. 1-4 , Sept, 2015, IJCA, 0975-8889.