Jajoo, V., Tanwani, S. (2025). An Adaptive Ensemble Based Filtering Approach for Noise Removal in Online Data Streams, Journal of Machine and Computing, vol.6, no.1, pp. 242-252, 2026, doi: 10.53759/7669/jmc202606018.

Makhija, P., & Tanwani, S. (2024). A RECENT SURVEY ON TEXT MINING TOOLS & TECHNIQUES IN THE BIO-MEDICAL DOMAIN. ShodhKosh: Journal of Visual and Performing Arts, 5(6), 582–594. (UGCCARE Approved)

Pawan Makhija, Dr. Sanjay Tanwani,. (2024). A Novel Hybrid Approach for Biomedical Text Summarization Using Pre-Trained Language Models. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 3053–3068. (Scopus)

Jain P, Shaikh Y, Tanwani S. Performance Evaluation of Feature Extraction Methods for Opinion Classification Using Different Machine Learning Classifiers. International Journal of Engineering Applied Sciences and Technology, 2024 Vol. 8, Issue 12, ISSN No. 2455-2143, Pages 166-173 Published Online April 2024 in IJEAST (http://www.ijeast.com). IJEAST Impact Factor: 4.982; 5-year IJEAST Impact Factor: 4.987 DOI: 10.33564; H-index: 14. PEER REVIEWED

Ahmad R, Shaikh Y, Tanwani S. Classifying Opinions and Sentiments on Social Networking Sites using Machine Learning Classifiers. International Journal for Research in Applied Science & Engineering Technology (IJRASET)Volume 12 Issue II Feb 2024- Available at www.ijraset.com. ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.538. https://doi.org/10.22214/ijraset.2024.58664. PEER REVIEWED

Jain P, Shaikh Y, Tanwani S. Visual Sentiment Analysis using Deep Learning Models: A Comparative Study. International Journal of Science, Mathematics and Technology Learning. Volume 31 No. 2, pp 378-388, 2023. Publication: 25 September 2023. 2327-7971 (Print) ISSN: 2327-915X (Online). DOI: https://doi.org/10.5281/zenodo.8375540UGC-CARE List II Scopus Indexed SJR 2022 0.142.

Ahmad R, Shaikh Y, Tanwani S. Aspect based Sentiment Analysis and Opinion Mining on Twitter Data Set using linguistic Rules. Indian Journal of Science and Technology 16(10): 764-774 March, 2023, ISSN-0974-6846 (Print), 0974-5645 (Electronic), Page 212-221.

Prateek Nahar, N.S. Chaudhari and Sanjay Tanwani, “Fingerprint classification system using CNN”, Multimedia Tools and Applications (2022), 81, 24515 – 24527. DOI:10.1007/s11042-022-12294-4, Scopus Indexed Journal. Cite Score: 7.2, Page 405-421.

Ahmad R, Shaikh Y, Tanwani S.“To Stand with Ukraine is to stand with Humanity”: Sentiment Analysis using Machine Learning with NLP, Journal of Emerging Technologies and Innovative Research,Vol. 9, Issue 9, pp. a804-a815, September 2022, ISSN- 2349-5162. Available at : http://www.jetir.org/papers/JETIR2209086.pdf.PEER REVIEWED.

R. Patel, S. Tanwani, C. Patidar, "Relation extraction between medical entities using deep learning approach." Informatica, ISSN: 1854-3871, vol. 45, no. 3, 2021, Scopus Indexed Journal. Cite Score: 2.2, Page 291-198.

Ahmad R, Shaikh Y, Tanwani S. Opinion Mining and Sentiment Analysis for Classification of Opinions on Social Networking Sites Using Machine Learning Algorithms: Systematic Literature Review, International Journal of Advanced Research in Computer and Communication Engineering Vol. 10, Issue 5, pp. 488-494 May 2021. ISSN- 2319-5940 (Print), 2278-1021 (Online) DOI 10.17148/IJARCCE.2021.10100. PEER REVIEWED.

Neha Gaur, Maya Rathore and U. Suman “Gait Cycle Segmentation and Fall Detection of Healthy Individuals using IMU sensors and Deep Learning", Sensor Review, Emerald Publishing, Sept. 2025.

Neha Gaur, M. Rathore, U. Suman and V. B. Semwal, “FIBiLS: Fall Detection of Healthy Elderly using IMU Sensor and BiLSTM Model", IEEE Sensor Journal, Sept. 2025, pp.1-8.

Anil Patidar, U. Suman, “iALBMAD: An Improved Agile-based Layered Approach for Mobile App Development”, Springer, Automated Software Engineering, (2025) 32:48.

Neha Gaud, Maya Rathore, U. Suman, “Multi-Headed CNN-LSTM Based Human Activity Recognition Leveraging a Novel Wearable Edge Device for Elderly Health Care”, IEEE Sensors Journal, pp.1-12.

Shekhar Disawal, U. Suman, “Enhancing Security to Prevent Vulnerabilities in Web Applications”, SSRG-International Journal of Engineering Trends and Technology (IJETT), Vol. 72, Issue 7, pp.278-283, July 2024.

Pragya Singh Tomar, Kirti Mathur, U. Suman, “Fusing Facial and Speech Cues for Enhanced Multimodal Emotion Recognition”, International Journal of Information Technology, Springer, Vol. 16, pp.1397–1405, 2024.

Jyoti Tiwari, U. Suman, “Automated Test Case Generation Model from UML Diagrams based on Monotonic Genetic Algorithm”, International Journal on Recent and Innovation Trends in Computing and Communication, 12(2), 376-384, 2024.

Pranay Tandon, and U. Suman, “Iterative feature elimination method using artificial neural network for software effort estimation”, SSRG-International Journal of Engineering Trends and Technology (IJETT), Vol. 72, Issue 2, pp.6-18, Feb. 2024.

Anil Patidar, U. Suman, “ALBMAD: A Mobile App Development Approach”, International Journal of Intelligent Systems and Applications in Engineering, Vol. 12, No. 7s, pp.664-676, 2024.

Jyoti Tiwari, U. Suman, “Model based testing approaches using UML diagrams: A systematic literature review”, International Journal on Recent and Innovation Trends in Computing and Communication (IJRITCC), Vol.11, Issue 9, pp. 3267-3276, Sept. 2023.

Shekhar Disawal, U. Suman, “An Approach to Detect and Prevent SQL Injection and XSS Vulnerability in the Web Application”, SSRG-International Journal of Engineering Trends and Technology (IJETT), Vol. 71, Issue 8, pp.216-224, Aug. 2023.

Pragya Singh Tomar, K. Mathur, U. Suman, “Unimodal approaches for emotion recognition: A systematic review”, Cognitive Systems Research, Elsevier, Volume 77, pp. 94-109, January 2023.

Basant Namdeo, U. Suman, “A case study: Database migration from RDBMS to NoSQL,” Journal of Physical Sciences, Engineering and Technology, SAMRIDDHI, Vol.14, Special Issue 2, 2022.

Pranay Tandon, and U. Suman, “A Systematic Literature Review on Effort Estimation in Agile Software Development using Machine Learning Techniques”, International Journal of Computer Applications, 184(21), pp.15-23, July 2022.

Anil Patidar, U. Suman, “A Survey on Mobile App Development Approaches with Industry Perspective”, International Journal of Open Source Software and Processes (IJOSSP), IGI Global, Vol.13, No.1, pp.1-17, 2022.

Pragya Singh Tomar, K. Mathur, U. Suman, “An Evaluative Approach towards Emotion Recognition using Facial Expressions Classifications”, Journal of Optoelectronics Laser, Volume 41, Issue 5, pp.198-203, 2022.

Basant Namdeo, U. Suman, “A Middleware Model for SQL to NoSQL Query Translation”, Indian Journal of Science and Technology (IJST), Vol.15 No.16, pp.718–728, 2022.

Shekhar Disawal, U. Suman and Maya Rathore, “Investigation of Detection and Mitigation of Web Application Vulnerabilities”, International Journal of Computer Applications, 184(1), pp.30-36, March 2022.

Pragya Singh Tomar, K. Mathur, U. Suman, “An Analysis of Speech Recognition Technology in Present Scenario”, The Journal

Ritu Jain, U. Suman, “Root Causes and Reduction Techniques for Rework in Global Software Development”, International Journal of Computer Applications (IJCA), Vol. 183, No. 43, PP.40-44, December 2021.

Devesh K. Lal, U. Suman, “An online approach to determine correlation between data streams”, ACM Auto-DaSP Workshop, pp.1-7, ICPE’21 Companion, Virtual Event, France, April 19-23, 2021.

Devesh K. Lal, U. Suman, “An efficient algorithm for reducing the flow of real time data stream with least sampling error”, International Journal of Big Data Intelligence (IJBDI), Inderscience, Vol. 7, No. 4, pp.186-193, 2020.

Ritu Jain, U. Suman, “Exploring the Aspects of Rework in Global Software Development”, International Journal of Computer Applications (IJCA), Vol. 174, No. 22, PP.13-19, February 2021.

Pritika Bahad, Dipti Chauhan, Preeti Saxena, and Manoj kumar Deshpande, “Early Prediction of Diabetes Mellitus: An Explainable AI Approach”, Indian Journal of Science and Technology, ISSN Print: 0974-6846 Electronic: 0974-5645, April 2025. (Web of Science)

Kirti Vijayvargia, Preeti Saxena, and D. S. Bhilare, “Context Management Life Cycle for Internet of Things: Tools, Techniques, and Open Issues”, Engineering, Technology & Applied Science Research, Volume 15(01), February 2025, Pp. 19449-19459, DOI: 10.48084/etasr.9117. (Scopus indexed)

Vibha Madhwacharya Bairagi and Preeti Saxena, “Deploying AI/ML in Microservices: A Comparative Study of Tools and Methodologies with Scalability Analysis and Case Studies of Leading Companies”, Journal of Tianjin University Science and Technology, ISSN(Online): 0493-2137, E-Publication: Online Open Access, Vol: 58 Issue: 03: 2025, Pp. 99-119, DOI:10.5281/zenodo.15004333. (Scopus indexed)

Sukhvinder Kaur Walia , Shraddha Masih, Ugrasen Suman, “An Experimental Approach for Evaluating the Performance of Clustering Techniques for Crime Detection” December 2024 Interantional Journal Of Scientific Research In Engineering And Management 08(12):1-5 DOI:10.55041/IJSREM40082

S. Soni, S. Masih,”Privacy preserving Data Analytics: A study of Processing Model”, International Journal of Scientific Research in Engineering and Management, vol. 08, Issue 10, ISSN: 2582-3930 Oct, 2024

A. Sankari, S. Masih and M. Ingle, "Exploring Matrix Decomposition Methods for Recommender Systems," Journal of Scientific Research, vol. 3, no. 16, 2024. (UGC Care)

A. Sankari, S. Masih and M. Ingle, "An Efficient Prediction Model for Collaborative Filtering Recommender System," Fuzzy Systems and Soft Computing, vol. 19, no. 1, pp. 31-49, 2024.(UGC Care)

Neha Sharma, Shradhdha Masih “ClaraStream: A Novel Algorithm for Real-Time Data Stream Clustering “International Journal on Recent and Innovation Trends in Computing and CommunicationISSN: 2321-8169 Volume: 11 Issue: 11 IJRITCC | December2023, Available @ http://www.ijritcc.org (SCOPUS Indexed Elsevier)

S.K.Walia, S.Masih, U.Suman, "A Comparative Analysis of Machine Learning Algorithmns for Crime Detection", Journal of the Maharaja Sayajirao University of Baroda UGC Care-I ISSN:0025-0422, vol. 57, no. 1, pp.178-188, Dec. 2023.

K, Makhan, M, Shraddha, "An Ensemble Model for Assessing Fake and Real Web Content on the Real Dataset." Fuzzy Systems and Soft Computing Vol 19:1, 2024, p.7-30. (UGC Care Listed Journal)

K, Makhan, M, Shraddha, “Detecting fake and real communities using Girvan-Newman algorithm and analyze accuracy using Graph Neural Networks (GNN)”. (Communicated in Current Science Journal) (2024).

Deepti Soni, Shraddha Masih,” A Comprehensive Review of Traffic Congestion Evaluation: Methods and Approaches”, International Journal of Communication Networks and Information Security, vol-15, 2023(Scopus Indexed)

Deepti Soni, Shraddha Masih, “Enhancing Large Scale Traffic Congestion Prediction with Attention-augmented BiLSTM Neural Network”, Shodkosh Journal, June 2024(UGC CARE Listed Journal)

Deepti Soni, Shraddha Masih, ”STTBoost: A Hybrid Road Traffic Congestion Prediction Model Using Transformer and XGBoost”, International Journal of Intelligent Systems and Applications in Engineering”, vol-12,2024. (Scopus Indexed)

Abhilasha Sankari, Shraddha Masih, Maya Ingle, “Comparative Study of Matrix Factorization Techniques for Personalized Recommender Systems” SAMRIDDHI: A Journal of Physical Sciences, Engineering and Technology ISSN:2229-7111 (P), 2454-5767 (E) Vol 15 No 04 2023.

Makhan kumbhkar, Shraddha Masih,” Comparative Analysis of Machine Learning Models for Fake Content Detection” Journal of Data Acquisition and Processing, 2023, 38 (1): 4255-4268.

Neha Sharma, Shraddha Masih, “Performance Analysis of CluStream Algorithm. International Journal of Scientific Research in Engineering and Management”. 07, 07 (2023).

Neha Sharma, Shraddha Masih,”Cluster Analysis of Data Set (Cassini) using Various Data Stream Mining Clustering Algorithms.” Global Journal of Computer Science and Technology. 2023.

Neha Sharma, Shraddha Masih “Improving Performance of CluStream Algorithm” International Journal of Food and Nutritional Sciences. 11, 12 (2022), 9625-9632.(UGC CARE)

Kumbhkar, Makhan, Maish, Shraddha, “Fake News Detection: State -of - the – Art Approaches, Challenges and Research Directions”, Science and Technology Journal (STJ), Vol 10, Issue 2, July 2022, p. 1-10. (UGC Care Listed Journal)

Neha Sharma, Shraddha Masih, "A Comparative Study of Window-Based Sampling and Non-Window based Sampling on Data Stream." Webology. Vol. 18, 2021, pp. 1-14 (Scopus )

Pranali Mudgal, Shraddha Masih,” Comparative analysis of supervised and unsupervised Machine learning algorithms on Iris Dataset” International Journal of Computer Science Trends and Technology (IJCST) Volume 9 Issue 6, Nov-Dec 2021 ISSN: 2347-8578 www.ijcstjournal.org Page 62.

Jadiya, A. K., Thakur, R., & Thakur, A. (2025, March 11). Effective machine learning approach to track polarity change in social media data. Journal of Information Systems Engineering and Management, 10(18s), 525–535.

Vijay Choudhary, Archana Thakur 2024, Prediction of Crop Leaf Health by MCCM and Histogram Learning Model using Leaf Region. Advances in Technology Innovation.

Vijay Choudhary, Archana Thakur 2024. BAT Algorithm-Based Multi-Class Crop Leaf Disease Prediction Bootstrap Model. Proceedings of Engineering and Technology Innovation, vol. 26, 2024, pp. 72-82.

Archana Thakur, 2023. Applications and Challenges of E-Learning Technologies. International Journal of Computer Sciences and Engineering, Vol.11, Issue 3, pp.24-27.

Archana Thakur, Ankur Ratmele, Ramesh Thakur, 2023. OpExBERT: Opinion Extraction and Classification of Reviews using BERT Model. International Journal of Engineering Trends and Technology, Volume-71 Issue-11.

Archana Thakur, 2022. Data mining in disease prediction. International Journal of Advanced Research in Computer Science, Volume: 13, Issue: 3, PP: 15-17.

Archana Thakur, 2022. A systematic review on data mining methods and applications. International Journal of Advanced Research in Computer Science, Vol. 13 Issue 2, Pages: 28-31.

Archana Thakur, 2022. Internet of Things Applications in Healthcare. Compliance engineering Journal, Vol. 13, Issue 1, pages: 294-297.

Archana Thakur, 2021. Recent Trends in Cloud Computing. Compliance engineering Journal, Vol. 12, Issue 9, pages: 294-297.

Archana Thakur, 2021. Machine Learning Algorithms for Software Assessment. International Journal on Emerging Technologies, Vol. 12, Issue: 2, Pages: 262-265.

Atul Kumar Uttam, Rohit Agrawal, Anand Singh Jalal, "EResNeXt: A multiple representation and attention based technique for fingerprint presentation attack detection in unknown presentation attack instruments scenario", Computer Science, Vol. 26, no. 3, 2025, Scopus (Elsevier)

Atul Kumar Uttam, Rohit Agrawal, Anand Singh Jalal, "Unsupervised Divergence-Based Domain Adaptation for Fingerprint Presentation Attack Detection", Automatic Control and Computer Sciences, Springer, Vol. 59, pp. 503–515, 2025, Scopus (Elsevier)

Arti Jain, Anand Singh Jalal, Chetan Negi, "A unified framework for image denoising using enhanced super-resolution generative adversarial networks", International Journal of Intelligent Engineering Informatics, Inderscience, Vol. 13, No. 3, pp. 297-319, September 2025. Scopus, ESCI (Impact Factor 1.1)

Dhirendra Prasad Yadav, Deepak Kumar, Anand Singh Jalal, Bhisham, “Hyperspectral Image Denoising through Hybrid Spectral Transformer Network”, Advances in Space Research, Elsevier, September 2025, SCIE (Impact Factor 2.8)

Dhirendra Prasad Yadav, Deepak Kumar, Anand Singh Jalal, "Leveraging potential of limpid attention transformer with dynamic tokenization for hyperspectral image classification", PLoS One, Vol. 20, No. 8, August 2025. SCIE (Impact Factor 2.6)

Sangeeta Rani, Subhash Chand Agrawal, and Anand Singh Jalal, "Multilevel approach for bright spot removal, fine detail restoration, and color correction in underwater imagery", Journal of Electronic Imaging, Vol. 34, No. 3, pp. 033038-033038, June 2025. SCIE (Impact Factor 0.945)

Mayank Agrawal, Anand Singh Jalal, and Himanshu Sharma. "Improving chart question answering through integration of figure captions and visual–textual co-attention" 8. Satya Prakash, Anand Singh Jalal & Pooja Pathak, "Infectious disease time series modelling using transformer self-attention based network", Engineering Research Express, Vol. 7, No. 1, January 2025. Scopus (Elsevier)

D. Kumawat, D. Abhayankar, and S. Tanwani, “Exploring Object Detection Algorithms and implementation of YOLOv7 and YOLOv8 based model for weapon detection,” International Journal of INTELLIGENT SYSTEMS AND APPLICATIONS IN ENGINEERING, vol. 3, pp. 877–886, 2024.

K.Borana , M Sharma, D. Abhyankar,” A Novel Software Quality Characteristic Recommendation Model to Handle the Dynamic Requirements of Software Projects that Improves Service Quality and Cost,” (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 14, No. 7, 2023.

D. Abhyankar, Maya Ingle: An Innovative Approach Towards Designing Efficient K- Nearest Neighbor Algorithm Lecture Notes in Networks and Systems, Vol. 434: Rising Threats in Expert Applications and Solutions proceedings of FICR-TEAS 2022 by Springer 4 July 2022.

K.Borana , M Sharma, D. Abhyankar,” A Review in Software Quality Models for Software Quality Assurance,” (IJARCCE) International Journal of Advanced Research in Computer and Communication Engineering, Vol. 11, Issue 1, 2022.

V. Badgaiyan and H. Ninama, "An Investigation of Cybersecurity: Examining Patterns, Hurdles and Solutions," International Journal for Scientific Research & Development, vol. 11, no. 6, pp. 70-87, 2023.

H. Ninama, J. Raikwal, A. Ravuri, et al., “Computer vision and deep transfer learning for automatic gauge reading detection,” Scientific Reports, vol. 14, no. 23019, 2024, doi: 10.1038/s41598-024-71270-0.