Summary
Total Papers: 55
SCI: 03
SCOPUS : 11
Web of Science: 10
UGC CARE: 30
SCI
1. Lioness Adapted GWO-Based Deep Belief Network Enabled with Multiple Features for a Novel Question Answering System, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, https://doi.org/10.1142/S0218488522500052
2. A Hybrid Optimized Deep Learning Framework to Enhance Question Answering System, in Springer Journal of Neural Processing. https://link.springer.com/article/10.1007/s11063-022-10829-2
3. Comprehensive Analysis of Electronic Health Records: Introducing SWASTHA - A Novel Model.
4. A Model for Predicting Chronic Kidney Diseases Based on Medical Data Using Reinforcement Learning .
5. Disaster Prediction System using Convolution Neural Network.
6. A Theoretical model for the implementation for the artificial intelligence in business to business marketing 2023
SCOPUS
Zamani, A.S., Abdalla Hashim, A.H., Gopi, A. et al. Deep convolutional neural network to predict ground water level. Spat. Inf. Res. (2023). https://doi.org/10.1007/s41324-023-00537-x,25 August 2023, https://doi.org/10.1007/s41324-023-00537-x
M.R.M. Veeramanickam, B. Venkatesh, Laxmi A. Bewoor, Yogesh W. Bhowte, Kavita Moholkar, Jyoti L. Bangare, IoT based smart parking model using Arduino UNO with FCFS priority scheduling, Measurement: Sensors ,Volume 24,2022,100524,ISSN:2665-9174,https://doi.org/10.1016/j.measen.2022.100524. (https://www.sciencedirect.com/science/article/pii/S2665917422001581)
“Hybrid CNN-LSTM Model for Answer Identification”, published in ‘International Journal of Recent Technology and Engineering (IJRTE)’Volume-8 Issue-3, 30 September 2019.
“Question Classification for Efficient QA System”, Moholkar, K. P. "Question Classification for Efficient QA System." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12.2 (2021): 1876-1884. https://doi.org/10.17762/turcomat.v12i2.1526
K. Moholkar and S. H. Patil, "Multiple Choice Question Answer System using Ensemble Deep Neural Network," 2020 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), Bangalore, India, 2020, pp. 762-766, doi: 10.1109/ICIMIA48430.2020.9074855. https://ieeexplore.ieee.org/document/9074855
Moholkar K.P., Patil S.H. (2021) Deep Ensemble Approach for Question Answer System. In: Pandian A., Fernando X., Islam S.M.S. (eds) Computer Networks, Big Data and IoT. Lecture Notes on Data Engineering and Communications Technologies, vol 66. Springer, Singapore. https://doi.org/10.1007/978-981-16-0965-7_2
Moholkar, K. P. "Visual Question Answering using Convolutional Neural Networks." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12.1S (2021): 170-175. https://doi.org/10.17762/turcomat.v12i1S.1602
Fulmal, Vaishali. "The Implementation of Question Answer System Using Deep Learning." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12.1S (2021): 176-182. https://doi.org/10.17762/turcomat.v12i1S.1604
Sentiment Classification and analysis using Long-Short Term Memory (LSTM) in Intelligent Communication Technologies and Virtual Mobile Networks Lecture Notes on Data Engineering and Communications Technologies, 2019, p. 487-493 Publisher: Springer International Publishing, https://doi.org/10.1007/978-3-030-28364-3_49
P. M. Padmawar, A. S. Shinde, T. Z. Sayyed, S. K. Shinde and K. Moholkar, "Disaster Prediction System using Convolution Neural Network," 2019 International Conference on Communication and Electronics Systems (ICCES), 2019, pp. 808-812, doi: 10.1109/ICCES45898.2019.9002400. https://ieeexplore.ieee.org/document/9002400
“A novel approach for clustering Hindi tweets”, International Conference on Intelligent Sustainable Systems (ICISS 2017) 7-8, December IEEE Xplore: 21 June 2018 DOI: 10.1109/ISS1.2017.8389256 (Scopus) https://ieeexplore.ieee.org/document/8389256
International journal (UGC Care)
K. P. Moholkar, S.H. Patil, "A Question Answer System: A survey", International Journal of Computer Sciences and Engineering, Vol.7, Issue.3, pp.441-447, 2019.DOI: 10.26438/ijcse/v7i3.426432
K. P. Moholkar “A Survey on Multimodal Summarization using Deep Learning”, International Journal of Future Generation Communication and Networking, Vol. 13 No. 3 (2020), 2020-08-01
“The Question Answer System Using Deep Learning”, International Journal of Future Generation Communication and Networking, Vol. 13 No. 3 (2020), 2020-08-01
A Review of Different Approaches for Visual Question-Answering Systems International Journal of Future Generation Communication and Networking, Vol. 13 No. 3 (2020), 2020-08-01
Moholkar, “Multimodal Summarization using Deep Learning”, GIS Science Journal, ISSN NO.:1869-9391, VOLUME 7, ISSUE 7, 2020 pp763-765
Moholkar, M. (2017). A Survey of Multilingual Document Clustering. International Journal of Engineering and Computer Science, 6(4). http://www.ijecs.in/index.php/ijecs/article/view/3633
The Question Answer System Using Deep Learning, International Journal of Future Generation Communication and Networking Vol. 13, No. 3, (2020), pp. 3184–3190,ISSN: 2233-7857 IJFGCN
A Survey of Disaster Prediction System Page No: 378-383 DOI:16.10089.IJMTE.2019.V9I3.19.27466 ,JOURNAL OF ARCHITECTURE & Technologies No : 1006-7930 (UGC Care)
Trust and Reliability Control by Continuous Auditing: Ensuring Cloud Security International Journal of Innovative Research in Computer and Communication Engineering. ISSN(Online): 2320-9801, ISSN (Print) : 2320-9798 DOI: 10.15680/IJIRCCE.2018.0605025
Trust and Reliability Control by Continuous Auditing: Ensuring Cloud Security International Journal of Innovative Research in Science, Engineering and Technology . ISSN(Online): 2319-8753, ISSN (Print) : 2347-6710 DOI:10.15680/IJIRSET.2018.0701060
“Ontology Learning from unstructured information sources for user Query” in International Journal of Innovative Research in Science and Engineering Vol No 3,Issue 05,May 2017 ISSN (O) 2454-9665,ISSN (P) 2455-0663
“SMART PARKING FOR SMART CITIES” in International Journal of Innovative Research in Science and Engineering Vol. No 3,Issue 05,May 2017 ISSN (O) 2454-9665,ISSN (P) 2455-0663
International Journal of Engineering And Computer Science on "A Survey of Multilingual Document Clustering" , "Volume 6 Issue 4 , April 2017. IC :58.10 DOI: 10.18535/ijecs/v6i4.21
International Journal of Innovative Research in Computer and Communication Engineering on “Survey of interesting pattern classification”, Vol 5,Issue 3,March 2017. ISSN (Print) 2320-9798 ISSN (Online) 2320-9801
International Journal of Advanced Research in Computer Science and Management Studies (IJARCSMS) on “Efficient Content Sharing over Delay Tolerant Networks” ,Vol 3 Issue 1,January 2015.
“A Fast Clustering Based Feature Subset Selection Algorithm For High Dimensional Data” in International Journal of Emerging Trend in Engineering and Basic Sciences (IJEEBS) ISSN (Online) 2349-6967 Volume 2 , Issue 1(Jan-Feb 2015), PP494-499
International Journal of Advanced Research in Computer Science and Software Engineering IJARSCCE-2014 on “Real time object Identification, training and matching via surf algorithm methods” Volume 4, Issue 6, June 2014 ISSN: 2277 128X pp11442 to 1445 on 6 June 2014 .IMPACT FACTOR
International Journal of Data Mining & Knowledge Management Process (IJDKP) on “Web People Search Using Ontology Based Decision Tree” Vol.2, No.2, March 2012 ,DOI : 10.5121/ijdkp.2012.2203 31. IMPACT FACTOR: 2
International Journal of Engineering Research and Application (IJERA) on “Web People Search using Ontology Based Decision Tree” in March 2012. ISSN: 2248-9622 Vol. 2, Issue 2,Mar-Apr 2012, pp.759-763
“Search Result Clustering For Web Personalization” this paper is published in “International Advances in Advanced Engineering and Technology “(IJAET 2011), September 2011.Vol 1 Issue 3 pp356-363, ISSN: 2231-1963. Index Factor of 1.96
Web Personalization using Web mining’ this paper is published in ‘International journal of Engineering Sciences and Technology’ (IJEST 2010), Vol. 2(3), 2010, 307-311ISSN: 0975-5462. . Impact Factor 1.85
‘Web Search Result Personalization using Web mining’ this paper is published in ‘International journal of computer Applications’ (IJCA 2010), pp29–32, June 2010. Published By Foundation of Computer Science DOI 10.5120/665-933 ISSN: 0975-5462. Impact Factor 0.835
Hybrid CNN-LSTM Model for Answer Identification DOI: 10.35940/ijrte.C4281.098319
IoT based smart parking model using Arduino UNO with FCFS priority scheduling
survey on chatbot for banking application ISSN:0253-4967
Customer face recognition and detection in banking application using deep learning ISSN:0970-2555
Optimized convolution neural network deep learning for Arabian handwritten text recognition
ISSN: 2302-9285 DOI: 10.1159/eei.v14i2.7696
Differentiating between AI generated faces and human faces " international journal of advance computational engineering and networking ISSN(p):2320 -2106, ISSN(p):2321 -2062" volume-12 issue-7,july-2024
Mathematical modeling for brain tumor segmentation and classification using machine learning "Panamerican mathematical journal" ISSN: 1064-9735 Vol 34 no. 4 (2024)
Integrating AI with Health informatics for early detection and pancreatic cancer " frontiers in health informatics "
ISSN-Online:2676-7104 Vol 13 ;Issue 2 (2024)
International conference
K.P. Moholkar , S. H. Patil, “Deep Ensemble Approach for Question Answer System” International Conference on sentimental Analysis and deep learning (ICSADL 2020), 2-3 April 2020 (to be published in Springer)
K. Moholkar and S. H. Patil, "Multiple Choice Question Answer System using Ensemble Deep Neural Network," 2020 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), Bangalore, India, 2020, pp. 762-766, doi: 10.1109/ICIMIA48430.2020.9074855.
Sentiment Classification and analysis using Long-Short Term Memory (LSTM) in 2nd ICATCSIT -19 International Conference on Advanced Trends in Computer Science & Information Technology , 15th & 16th March 2019
A Survey of Disaster Prediction System in 2nd ICATCSIT -19 International Conference on Advanced Trends in Computer Science & Information Technology , 15th & 16th March 2019 (UGC Care)
Ontology Learning from unstructured information sources for user Query” in 2nd International Conference on Emerging Trends in Engineering and Management Research.
“Smart parking for smart cities” in 6th International Conference on Recent Development in Engineering Science, Humanities and Management on 14th May 2017.ISBN 978-93-86171-36-8
“Survey on Interesting Pattern Classification” in International Journal of Innovative Research in Computer and Classification Engineering Vol 5,Issue 3,March 2017.ISSN(O): 2320-9801, ISSN(P): 2320-9798 Impact factor: 6.577
“ Converting and Configuration of a calibrating software from MS-Access to Oracle” in 53rd IRF International Conference,24th April 2016,Pune ISBN 978-93-86083-01-2
“Enhancing scalable reverse dictionary using text rank in IRAJ International Conference, Pune ISBN:9788192958047.
“Implementation of FAST Clustering based feature subset selection Algorithm” in 24th IRF International Conference 12th April 2015,Pune ISBN 978-93-82702-94-8.
“Energy Efficient Method for Content Sharing over Delay Tolerant Networks” in Elsevier Proceeding of Third Post Graduate Conference,2014 Vol 3 ISBN 9789351072928.
“Machine learning & data mining Approach identify cardiovascular disease treatment relations” in ICST-2014 Proceedings of 4th International Conference, 1st December 2013, New Delhi India. ISBN: 978-93-82702-42-9
“Talk free: Mobile to mobile voice communication ”IN International Conference on computer Science & IT ICCSIT- 2012 ISBN:978-93-81693 April 2012
“Digital Water Marking” at International Conference on ACVIT Aurangabad on 28th -30th Nov 2007.
Machine Learning Techniques for Descriptive Answer Evaluation: A Comprehensive Survey
4th International conference on data intelligence and cognitive informatics(ICDICI 2023)
7th International conference on computational vision and bio inspired computing ICCV BIC 2024
National Conference
National Conference in Innovative trends in Computer Science Engineering and technology (ITCSET 2018) on “ A survey on sentiment analysis using deep learning” ,21 and 22 Sep 2018
“Fast clustering based feature subset selection algorithm for high dimensional data” in National Conference on Advancement in computer & Information Technology (NACIT-15 held on 9th &10th Jan 2015.
Third Post Graduate Symposium on Computer Engineering cPGCON2014 Organized by department of Computer Engineering, MCERC Nasik on “Fast object matching and tracking in dynamic scene using Efficient SURF and GMC algorithm.”
“Prototype for Tutor Model for Intelligent Learning Environments : Assessment and Analysis. At the National Conference on Signal Processing and Automation(NCSPA-07) on 7-8 Sep.2007.
“Mariposa: A Distributed Database Operating System” in the National Conference for “Emerging Trends in Electronics & Telecommunication” NCET’07 on 16-17th April’07
"Object Oriented Software Engineering approach to Data Warehousing” in TECHNOTONIC, a National Level Event on 23-24th March’07.
INNOVATION -2014,Regional Research Conference, BCUD, University of Pune
INNOVATION -2015,Regional Research Conference, BCUD, University of Pune
Total Patents: 04
Granted: 01
Published: 03
Indian Patents
1. Name: Dual storage emergency battery with multiple features
Application No.201721034484 A
Date of filing of Application: 28/09/2017
Publication Date: 13/10/2017
2.Name: System For Robost And Scalable Anomaly Detection In Video Surveillance
Application No. 202121033210
Date of filling Application: 23/07/2021
Publication Date: 20/08/2021
3. Name: System and Method for Question Generation based on Bloom’s Taxonomy and Assessment generation
Application No.202121062300
Date of filling Application: 31 Dec 2021
Publication Date: 21/01/2022
Granted
UK Design Patent
4. Name: Smart plastic waste management device
Application number is : 6304627
Design number: 6306753
Grant date: 09 September 2023
Registration date: 01 September 2023
Board of College and University Development (BCUD) sanction Research project on the topic “Creation of unsupervised clustering algorithm based on ontology” for an amount of 65000/-(sixty-five thousand only) for ACY 2013-2015.
Copyright: 07
1. Name: Subjective Question and Answer Evaluation using Machine Learning
Dairy Number: 13205/2022- CO/L
Registration Number: L-119108/2022
Date of Registration: 28/11/2022
2. Name: Image Steganography
Dairy Number: 13969/2022-CO/L
Registration No : L-119062/2022
Date of Registration: 25/11/2022
3. Name: Virtual selfcare companion
Dairy Number: 13226/2022-CO/L
Registration No : L-131434/2023
Date of Registration: 02/8/2023
4. Name: Chatbot for College System
Dairy Number: 13975/2022-CO/L
Registration Number: L-119386/2022
Date of Registration: 6/12/2022
5. Name: converting wireframe to user interface and code
Dairy Number: 14075/2022-CO/L
Registration No: L-119151/2022
Date of Registration: 28/11/2022
6. Name: Swastha
Dairy Number: 1536/2024-CO/L
Registration No: L-143795/2024
Date of Registration: 14/02/2024
7. Name: FARMAPP
Dairy Number: 1573/2024-CO/L
Registration No: L-143795/2024
Date of Registration:22/02/24
Project Done
1. Web Personalization using Web Mining
When we give a query for search, the search engine returns a set of *web pages related to the given query. For such type of search, the job of finding the web page of interest is left on the user. In this project, we develop a technique for web search which clusters the web pages based on semantic information and maps them using ontology based decision tree making the user to access the information in more easy way. This technique uses the concept of ontology thus reducing the number of inconsistencies. The result proves that ontology based decision tree and clustering helps in increasing the efficiency of the overall search.
2. An Intelligent Tutoring Web Server using Neural Networks:
The project tried to develop a tutoring system for students according to their grasping power. In contrast to the existing tutoring systems, the system tries to identify the students’ capacity and explains the content accordingly. The system uses the concept of neural networks and incorporates the fuzzy logic to anticipate the student understanding level. The system dynamically identifies and adjusts itself to users need.