Recent Publications – Department of Information Technology
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Recent Publications

Research Papers
Khemchandani, M., Jadhav, S., Kadam, V. (2023). Cascaded 3D V-Net for Fully Automatic Segmentation and Classification of Brain Tumor Using Multi-channel MRI Brain Images. In: Troiano, L., Vaccaro, A., Kesswani, N., Díaz Rodriguez, I., Brigui, I., Pastor-Escuredo, D. (eds) Key Digital Trends in Artificial Intelligence and Robotics. ICDLAIR 2022. Lecture Notes in Networks and Systems, vol 670. Springer, Cham. https://doi.org/10.1007/978-3-031-30396-8_9
Khemchandani, M. A., Jadhav, S. M., & Iyer, B. R. (2022). Brain tumor segmentation and identification using particle imperialist deep convolutional neural network in MRI images. International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI).
Pingale, S. V., & Sutar, S. R. (2023) Remora based Deep Maxout Network model for network intrusion detection using Convolutional Neural Network features. Computers and Electrical Engineering.
Pingale, S. V., & Sutar, S. R. (2022, December 30). Remora whale optimization-based hybrid deep learning for network intrusion detection using CNN features. Expert Systems with Applications, 210, 118476
Kadam V. J., Yadav S. S., Jadhav S. M. (2020), Soft-Margin SVM Incorporating Feature Selection Using Improved Elitist GA for arrhythmia Classification,In Abraham A., Cherukuri A., Melin P., Gandhi N. (eds) Intelligent Systems Design and Applications. ISDA 2018, Advances in Intelligent Systems and Computing, Volume 941, pages 965-976, ISBN: Print 978-3-030-16659-5 Online 978-3-030-16660-1, Series ISSN: Print 2194-5357 Online 2194-5365, DOI: 10. 1007/978-3-030-16660-1_94, Publisher: (Springer), Cham, Indexed in: [ Scopus]
Vinod Kadam, Shivajirao Jadhav, Mahesh Shirsath, Atharv Kurdukar (2020),Parkinson’s disease prediction using a stacked generalization ensemble of kNN and its variants with mRMR feature selection,S. D. Purohit et al. (eds),Proceedings of International Conference on Communication and Computational Technologies, Algorithms for Intelligent Systems, Chapter no. 39, DOI: 10. 1007/978-981-15-5077-5_39, Publisher: (Springer).
Yadav S. S., Kadam V. J., Jadhav S. M. (2020), Comparative Analysis of Ensemble Classifier and Single Base Classifier in Medical Disease Diagnosis,In: Bansal J., Gupta M., Sharma H., Agarwal B. (eds) Communication and Intelligent Systems. ICCIS 2019, Lecture Notes in Networks and Systems, Volume 120, ISBN: Print 978-981-15-3324-2 Online 978-981-15-3325-9, DOI: 10.1007/978-981-15-3325- 9_37, Publisher: (Springer), Singapore.
Kadam, Vinod, Shivajirao Jadhav, Samir Yadav (2020), Bagging based ensemble of support vector machines with improved elitist GA-SVM features selection for cardiac arrhythmia classification,International Journal of Hybrid Intelligent Systems, Volume 16, Issue 1, pages 25-33, ISSN: Print 1448-5869 Online 1875-8819, DOI: 10. 3233/HIS-190276, Publisher: (IOS Press)
V. J. Kadam, S. M. Jadhav, A. A. Kurdukar and M. R. Shirsath, Arrhythmia Classification using Feature Ensemble Learning based on Stacked Sparse Autoencoders with GA-SVM Guided Features, 2020 International Conference on Industry 4.0 Technology (I4Tech), Pune, India, 2020, pp. 94-99, doi: 10.1109/I4Tech48345.2020.9102675. (Publisher:IEEE)
Kadam Vinod, Thematic Issue Intelligent Data Mining for Data Analysis and Knowledge Discovery”, Recent Advances in Computer Science and Communications (Formerly: Recent Patents on Computer Science), Volume 13, Number 3, 2020, pp. 433-434(2) DOI: https://doi.org/10.2174/266625581303200609114251 Publisher:Bentham Science Publishers
Wagh, N.R. and Sutar, S.R. (2022). An Enhanced Security of Women and Children Using Machine Learning and Data Mining Techniques. In Data Mining and Machine Learning Applications (eds R. Raja, K.K. Nagwanshi, S. Kumar and K.R. Laxmi). https://doi.org/10.1002/9781119792529.ch16
S. S. Yadav, V. J. Kadam, S. M. Jadhav, S. Jagtap and P. R. Pathak, Machine Learning based Malaria Prediction using Clinical Findings, 2021 International Conference on Emerging Smart Computing and Informatics (ESCI), 2021, pp. 216-222, doi: 10.1109/ESCI50559.2021.9396850.(Publisher:IEEE)
Williamson, S., Vijayakumar, K. & Kadam, V.J. Predicting breast cancer biopsy outcomes from BI-RADS findings using random forests with chi-square and MI features.Multimed Tools Appl(2021).https://doi.org/10.1007/s11042-021-11114-5Publisher: (Springer).Indexed in [SCI & Scopus]
Vijayakumar K, Kadam VJ, Sharma SK. Breast cancer diagnosis using multiple activation deep neural network.Concurrent Engineering. June 2021. doi:10.1177/1063293X211025105Publisher: (Sage).Indexed in [SCI & Scopus]
S. S. Yadav, S. B. More, S. M. Jadhav and S. R. Sutar, "Convolutional Neural Networks Based Diagnosis of Myocardial Infarction in Electrocardiograms," 2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), Greater Noida, India, 2021, pp. 581-586, doi: 10.1109/ICCCIS51004.2021.9397193.
Yadav, S.S., Sutar, S.R. (2021). Alzheimer’s Disease Diagnosis Using Structural MRI and Machine Learning Techniques. In: Bajpai, M.K., Kumar Singh, K., Giakos, G. (eds) Machine Vision and Augmented Intelligence—Theory and Applications. Lecture Notes in Electrical Engineering, vol 796. Springer, Singapore. https://doi.org/10.1007/978-981-16-5078-9_53
S. S. Yadav, S. B. More, S. M. Jadhav, S. R. Sutar, Convolutional Neural Networks Based Diagnosis of Myocardial Infarction in Electrocardiograms”, IEEE co-sponsored International Conference on Computing, Communication, and Intelligent Systems, (IEEE Xplore), 19-21 February, 2021, Sharda University, Noida
Pingale, S. V., & Sutar, S. R. (2022). Automated network intrusion detection using multimodal networks. International Journal of Computational Science and Engineering, 25(3), 339-352. Inderscience Publishers (IEL).
V. T. Lokare , A. W. Kiwelekar, S. S. Barphe, L. D. Netak, "Increasing Students Engagement during Virtual Classroom Teaching through Effective use of Online Tools", 8th International Conference on Transformations in Engineering Education, Hydrabad on 7th January 2021.
Yadav, S., Kadam, V., Jadhav, S. (2021). Machine Learning Algorithms for the Diagnosis of Cardiac Arrhythmia in IoT Environment. In: Santosh, K.C., Gawali, B. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2020. Communications in Computer and Information Science, vol 1381. Springer, Singapore. https://doi.org/10.1007/978-981-16-0493-5_9
S. S. Barphe , V. T. Lokare, A. W. Kiwelekar,S. R. Sutar,Effective Online Tools for Teaching Java Programming Course on an Online Platform", 5th World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4 2021), London, UK on 29th - 30th July 2021.
S. S. Yadav, S. M. Jadhav, S. Nagrale and N. Patil, "Application of Machine Learning for the Detection of Heart Disease," 2020 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), Bangalore, India, 2020, pp. 165-172, doi: 10.1109/ICIMIA48430.2020.9074954.
S. S. Yadav, S. M. Jadahv , R. Bonde, S. Chaudhari, Automated Cardiac Disease Diagnosis Using Support Vector Machine Date of Conference:3-4 April 2020 , Publisher, CSCITA, DOI:10.1109/CSCITA47329.2020.9137817
S.V.Pingale, S. R. Sutar, Analysis of Web Application Firewalls, Challenges, and Research Opportunities, International Conference on Data Sciences, Machine Learning and Applications, ICDSMLA (Springer), Pune, December, 2020
Kadam V. J., Jadhav S. M. (2020), Performance analysis of hyperparameter optimization methods for ensemble learning with small and medium-sized medical datasets,Journal of Discrete Mathematical Sciences and Cryptography, Volume 23, Issue 1, pages 115-123, ISSN: Print 0972-0529 Online 2169-0065, DOI:10. 1080/09720529. 2020. 1721871, Publisher: (Taylor & Francis), Indexed in: [ESCI & Scopus]
A. R. Babhulgaonkar ,S. Sonavane , "Empirical Comparison of Machine Translation Techniques", International Conference on Machine Intelligence & Smart Computing (ICMISC-2020) organized by Government College of Engineering, Karad 21-22 May, 2020 Published in Solid State Technology Journal Vol. 63 No. 2 (2020) ISSN 0038-111X
Kadam V. J., Jadhav Shivajirao M., K. Vijayakumar (2019), Breast cancer Diagnosis Using Feature Ensemble Learning Based on Stacked Sparse Autoencoders and Softmax Regression,Journal of Medical Systems Volume 43, Issue 8, Article number 263, ISSN: Print 0148-5598 Online 1573-689X, DOI: 10. 1007/s10916-019-1397-z, Publisher: (Springer), Indexed in [SCI & Scopus]
Wagh, N. R., & Sutar, S. R. (2021). Women and Children Safety using Multimodal Facial Expression Recognition. Design Engineering, 4879-4889.
Kadam V.J., Jadhav S.M. (2019) Feature Ensemble Learning Based on Sparse Autoencoders for Diagnosis of Parkinson’s Disease. Computing, Communication and Signal Processing. Advances in Intelligent Systems and Computing, vol 810.(Springer, Singapore)
Kadam V. J., Jadhav Shivajirao M. (2019), Optimal weighted feature vector and deep belief network for medical data classification,International Journal of Wavelets, Multiresolution and Information Processing, Volume 18, Issue 2, pages 2050006, ISSN: Print 0219-6913 online 1793-690X, DOI: 1142/S021969132050006X, Publisher: (World Scientific), Indexed in [SCI & Scopus]
Yadav, S.S., Jadhav, S.M. Deep convolutional neural network based medical image classification for disease diagnosis.J Big Data6,113 (2019). https://doi.org/10.1186/s40537-019-0276-2
Kadam V. J., Jadhav S. M. (2019), Feature Ensemble Learning Based on Sparse Autoencoders for Diagnosis of Parkinson’s Disease,In Iyer B., Nalbalwar S., Pathak N. (eds) Computing, Communication, and Signal Processing, Advances in Intelligent Systems and Computing, Volume 810, pages 567-581, ISBN: Print 978-981-13-1512-1 Online 978-981-13-1513-8, Series ISSN: Print 2194-5357 Online 2194-5365, DOI: 10. 1007/978-981-13-1513-58, Publisher: (Springer), Singapore, Indexed in: [ Scopus]
A.R. Babhulgaonkar, S.P. Sonavane, (2018). Factored Language Modeling. International Journal of Computer Sciences and Engineering, 06(01), 19-25.
S. M. Jadhav, S. L. Nalbalwar, Ashok Ghatol, Artificial Neural Network based cardiac arrhythmia classification using ECG signal dataINSPEC Accession Number:11515363 DOI:10.1109/ICEIE.2010.5559887 Publisher IEEE
S. M. Jadhav, S. L. Nalbalwar, Ashok Ghatol Generalized Feed forward Neural Network based cardiac arrhythmia classification from ECG signal data ,date Added to IEEEXplore:14 February 2011, ISBN Information:, INSPEC Accession Number:11824149, Publisher:IEEE
Kadam V.J., Yadav S.S., Jadhav S.M., Soft-Margin SVM Incorporating Feature Selection Using Improved Elitist GA for Arrhythmia Classification. Intelligent Systems Design and Applications. Advances in Intelligent Systems and Computing, vol 941. (Springer, Cham)
Babhulgaonkar, A.R., Sonavane, S.P. (2020). Application of Linguistic Knowledge in Factored Language Modeling for Hindi Language. In: Iyer, B., Deshpande, P., Sharma, S., Shiurkar, U. (eds) Computing in Engineering and Technology. Advances in Intelligent Systems and Computing, vol 1025. Springer, Singapore. https://doi.org/10.1007/978-981-32-9515-5_50
Babhulgaonkar, A., & Sonavane, S. (2020). Optimization of Phrase Table in Statistical Machine Translation Using Linguistic Features. International Journal of Future Generation Communication and Networking, 13(3), 1324–1337. SERSC.
Babhulgaonkar, A.R., Sonavane, S.P. (2021). Experimenting with Reordering Model of Phrase-Based Machine Translation System for English to Hindi. In: Deshpande, P., Abraham, A., Iyer, B., Ma, K. (eds) Next Generation Information Processing System. Advances in Intelligent Systems and Computing, vol 1162 . Springer, Singapore. https://doi.org/10.1007/978-981-15-4851-2_31
Babhulgaonkar, A.R., Sonavane, S.P. Experimenting with factored language model and generalized back-off for Hindi. Int. j. inf. tecnol. 14, 2105–2118 (2022). https://doi.org/10.1007/s41870-020-00503-y
A. R. Babhulgaonkar and S. V. Bharad, "Statistical machine translation," 2017 1st International Conference on Intelligent Systems and Information Management (ICISIM), Aurangabad, India, 2017, pp. 62-67, doi: 10.1109/ICISIM.2017.8122149.
Bharad S. V., Prediction of carrier status of students using ID3 algorithm, International conference on Reliability, Infocom Technologies and Optimization, January 2013.
Kasar, Pankaj Eknath, Shivajirao M. Jadhav, and Vineet Kansal. "Brain Tumor Segmentation using UNET and SEGNET: a Comparative Study." (2022).
Sharma, S.K., Vijayakumar, K., Kadam, V.J. et al. Breast cancer prediction from microRNA profiling using random subspace ensemble of LDA classifiers via Bayesian optimization. Multimed Tools Appl (2022). https://doi.org/10.1007/s11042-021-11653-x
Babhulgaonkar, A., & Sonavane, S. (2022). Empirical Analysis of Phrase-Based Statistical Machine Translation System for English to Hindi Language. Vietnam Journal of Computer Science, 9(02), 135-162. World Scientific Publishing Company.
Babhulgaonkar, A., Shirsath, M., Kurdukar, A., Khandare, H., Tekale, A., Musale, M. (2021). Empirical Laws of Natural Language Processing for Hindi Language. In: Gunjan, V.K., Zurada, J.M. (eds) Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications. Advances in Intelligent Systems and Computing, vol 1245. Springer, Singapore. https://doi.org/10.1007/978-981-15-7234-0_18
Kadam, V. J., & Yadav, S. S. (2016, February 13). ACADEMIC TIMETABLE SCHEDULING: REVISITED. International Journal of Research In Science & Engineering, Special Issue: Techno-Xtreme 16, 417-423. Publisher: IJRISE.
Yadav, S. S., & Jadhav, S. M. (2019, August 25). Machine Learning Algorithms for Disease Prediction Using IoT Environment. International Journal of Engineering and Advanced Technology, 8(6), 4303-4307.
Yadav, S., Kaur, J., Pathak, Y., & Jadhav, S. (2020, August). Chest X-ray scanning based detection of COVID-19 using deep convolutional neural network. Research Square. Report number: 10.21203/rs.3.rs-58833/v1.
Yadav, S., & Jadhav, S. (2020, August 3). Detection of common risk factors for diagnosis of cardiac arrhythmia using machine learning algorithm. Expert Systems with Applications, 163, 113807. Elsevier.
Yadav, S., & Jadhav, S. (2020, August 15). Machine Learning based Cardiovascular Disease Diagnosis using Feature Selection. In National Conference on Recent Innovations in Science, Engineering and Technology, Udupi, India (Vol. 93, Issue 3, pp. 1-4). 10.13140/RG.2.2.15329.33127.
Yadav, S., & Jadhav, S. (2020, August 25). Thermal infrared imaging based breast cancer diagnosis using machine learning techniques. Multimedia Tools and Applications. Springer.
Yadav, S. S., Bendre, M. R., Vikhe, P. S., & Jadhav, S. M. (2020, August 25). Analysis of deep machine learning algorithms in COVID-19 disease diagnosis. Preprint from arXiv. PPR: PPR347356.
Yadav, S. S., Sandhu, J. K., Bendre, M. R., Vikhe, P. S., & Kaur, A. (2020, August 25). A comparison of deep machine learning algorithms in COVID-19 disease diagnosis. arXiv preprint arXiv:2008.11639.
S. Yadav, R. Rathod, S. R. Pawar, V. S. Pawar and S. More, "Application of Deep Convulational Neural Network in Medical Image Classification," 2021 International Conference on Emerging Smart Computing and Informatics (ESCI), Pune, India, 2021, pp. 120-129, doi: 10.1109/ESCI50559.2021.9396854.
Barphe, S.S., Lokare, V.T., Sutar, S.R., Kiwelekar, A.W. (2022). Effective Online Tools for Teaching Java Programming Course on an Online Platform. In: Nagar, A.K., Jat, D.S., Marín-Raventós, G., Mishra, D.K. (eds) Intelligent Sustainable Systems. Lecture Notes in Networks and Systems, vol 334. Springer, Singapore. https://doi.org/10.1007/978-981-16-6369-7_56
Lokare, V. T., Kiwelekar, A. W., Barphe, S. S., Netak, L. D., & Jadhav, P. M. (2020). Increasing Students Engagement during Virtual Classroom Teaching through Effective Use of Online Tools. Journal of Engineering Education Transformations, 34(Special Issue), 44-49. DOI: 10.16920/jeet/2021/v34i0/157104.
Babhulgaonkar, A.R., Sonavane, S.P. (2021). Evaluation of Source to Target and Target to Source Word Alignment for English to Hindi. In: Garg, L., Sharma, H., Goyal, S.B., Singh, A. (eds) Proceedings of International Conference on Innovations in Information and Communication Technologies. ICI2CT 2020. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-0873-5_12
Jadhav, S. M., & Jadhav, P. P. (2023). Review on Question Answering System: Focus on Techniques and Performance Metrics. In GSRD International Conference on Machine Learning, Big Data Management and Cloud Computing, Mumbai, India (pp. 18-23).
Wagh, Nanda., Sutar, S. R., & Wagh, A. E. (2022). A Survey on the Recent Advances in the Development of IoT-based Devices for Women Safety. In Proceedings of the International Conference on Intelligent Computing in Information Technology for Engineering System (ICICITES-2021), 25-26 June, 2021, Pandharpur, India (Vol. 1, Issue First).
A. Babhulgaonkar and S. Sonavane, "Language Identification for Multilingual Machine Translation," 2020 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 2020, pp. 401-405, doi: 10.1109/ICCSP48568.2020.9182184.
Sutar, S. R., & Bichkar, R. S. (2017). High school timetabling using tabu search and partial feasibility preserving genetic algorithm. International Journal of Advances in Engineering & Technology, 10(3), 421.
Sutar, S. R., & Bichkar, R. S. (2017). Parallel genetic algorithm for high school timetabling. Int. J. Comput. Appl, 170, 1-5.
Sutar, S. R., & Bichkar, R. S. (2016). Genetic algorithms based timetabling using knowledge augmented operators. International Journal of Computer Science and Information Security, 14(11), 570. LJS Publishing.
Sutar, S. R., & Bichkar, R. S. (2016). An Application of Genetic Algorithm for University Course Timetabling Problem. International Journal of Applied Information Systems (IJAIS), 11(3), 26. Foundation of Computer Science FCS, New York, USA. ISSN: 2249-0868.
Sutar, S. R., & Bichkar, R. S. (2012). University timetabling based on hard constraints using genetic algorithm. International Journal of Computer Applications, 42(15), 3-5. International Journal of Computer Applications, 244 5th Avenue, #1526, New York, NY 10001, USA India.
Sutar, S., Sawant, J., & Jadhav, J. (2006). Task scheduling for multiprocessor systems using memetic algorithms. In 4th International Working Conference Performance Modeling and Evaluation of Heterogeneous Networks (HET-NETs ‘06).
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