Recent Publications

Research Papers
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. More, S. M. Jadahv , S. R. Sutar, Convolutional Neural Networks Based Diagnosis of Myocardial Infarction in Electrocardiograms Date of Conference:19-20 Feb. 2021, DOI:10.1109/ICCCIS51004.2021.9397193, Publisher:IEEE
S. S. Yadav, S. R. Sutar, Alzheimer's Disease Diagnosis using Structural MRI and Machine Learning Techniques”, International Conference on Machine Vision and Augmented Intelligence , (MAI- 2021, Springer) , IIITDM, Jabalpur, February, 2021
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
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. Publisher: (Springer).
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. Jadahv, S. Nagrale, N. Patil, Application of Machine Learning for the Detection of Heart Disease”DOI:10.1109/ICIMIA48430.2020.9074954, Conference Location:Bangalore, India, Date Added to IEEEXplore:23 April 2020
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]
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
A. R. Babhulgaonkar ,S. Sonavane , 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]
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. Sonavane , International Journal of Computer Sciences and Engineering (IJCSE), UGC Listed, Special Issue-1, pp. 48-54, Feb 2018 E-ISSN: 2347-2693 https://doi.org/10.26438/ijcse/ v6si1.1925
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)
A. R. Babhulgaonkar ,S. Sonavane, National Level Research Symposium on Computing - RSC 2016 organized by dept. of CSE & IT under ACM chapter at WCE Sangli
A. R. Babhulgaonkar ,S. Sonavane , Published in International Advances in Intelligent Systems and Computing (AISC) ISBN 978-981-32-9515-5 https://doi.org/10.1007/978- 981-32-9515-5_50
A. R. Babhulgaonkar ,S. Sonavane , International Journal of Future Generation Communication and Networking (IJFGCN) ISSN: 2233-7857 IJFGCN https://sersc.org/journals/ index.php/IJFGCN/article/view/ 27005/14749
A. R. Babhulgaonkar ,S. Sonavane , Published in International Advances in Intelligent Systems and Computing (AISC) ISBN: 978-981-15-4851-2 https://doi.org/10.1007/978- 981-15-4851-2_31
A. R. Babhulgaonkar ,S. Sonavane , International Journal of Information Technology (IJIT) ISSN 2511-2104 DOI:10.1007/s41870-020- 00503-y
Bharad S. V., Statistical Machine Translation: Foundation, Challenges and Recent advances”, International coference on Intelligent systems & Information Management, October 2017.
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
Empirical Analysis of Phrase-Based Statistical Machine Translation System for English to Hindi Language
Arun Babhulgaonkar (1Department of Information Technology, Dr. Babasaheb Ambedkar Technological University, Lonere, Raigad, Maharashtra, India) and Shefali Sonavane (2Department of Information Technology, Walchand College of Engineering, Sangli, Maharashtra, India)
Vietnam Journal of Computer Science 2022 09:02, 135-162