International Journals

• Chaudhary, P., Vats, S., & Sharma, V. (2025). Performance Insights of Convolutional Neural Networks Operating on Distributed Computing Platforms. SN Computer Science, 6(4), 371. Scopus /ESCI (Web of Science) Indexed, Impact Factor 1.0.

• Satvik vats et al (2024). Iterative Enhancement Fusion-based Cascaded Model for Detection and Localization of Multiple Disease from CXR-Images. Expert Systems with Applications, 122129. https://doi.org/10.1016/j.eswa.2024.124464, (SCI/SCIE Indexed), Impact Factor 8.5.

• Satvik vats et al (2023). Incremental Learning-Based Cascaded Model for Detection and Localization of Tuberculosis from chest X-Ray Images. Expert Systems with Applications, 122129. https://doi.org/10.1016/j.eswa.2023.122129, (SCI/SCIE Indexed), Impact Factor 8.5

• Satvik vats & B. B. Sagar. "Performance Evaluation of an Independent Time Optimized Infrastructure for Big Data Analytics that Maintains Symmetry." In Symmetry (MDPI) 12.8 (2020): 1274. https://doi.org/10.3390/sym12081274, (SCI/SCIE Indexed) Impact Factor 2.7.

• Satvik vats & B. B. Sagar (2020). An Independent Time Optimized Hybrid Infrastructure for Big Data Analytics. In Modern Physics Letters B, World Scientific Journal: 2050311. https://doi.org/10.1142/S021798492050311X, (SCI/SCIE Indexed) Impact Factor 2.5.

• Satvik vats et al (2022). OGAS: Omni-directional Glider Assisted Scheme for autonomous deployment of sensor nodes in open area wireless sensor network. Published in ISA Trans., Aug. 2022, https://doi.org/10.1016/j.isatra.2022.08.001,  (SCI/SCIE Indexed), Impact Factor 7.3

• Satvik vats et al (2025). A Progressive Hierarchical Model for Plant Disease Diagnosis. SN COMPUT. SCI. 5, 102 (2025). https://doi.org/10.1007/s42979-024-03582-x. Scopus /ESCI (Web of Science) Indexed, Impact Factor 1.0.

• Satvik vats et al (2024). Heatmap-Based Deep Learning Model for Network Attacks Classification. SN COMPUT. SCI. 5, 1113 (2024). https://doi.org/10.1007/s42979-024-03447-3. Scopus /ESCI (Web of Science) Indexed, Impact Factor 1.0.

• Satvik vats et al (2021). iDoc-X: An Artificial Intelligence Model for Tuberculosis Diagnosis and Localization. Published in Journal of Discrete Mathematical Sciences and Cryptography (Taylor & Francis). https://doi.org/10.1080/09720529.2021.1932910,  Scopus /ESCI (Web of Science) Indexed, Impact Factor 1.0.

• Satvik vats & B. B. Sagar (2020). Performance evaluation of K-means clustering on Hadoop infrastructure. Journal of Discrete Mathematical Sciences and Cryptography (Taylor & Francis), 22(8), 1349-1363. https://doi.org/10.1080/09720529.2019.1692444,   Scopus /ESCI (Web of Science) Indexed, Impact Factor 1.0

• Bajaj, M., Rawat, P., Vats, S., Sharma, V., Mehta, S., & Sagar, B. B. (2023). Enhancing patient outcomes through machine learning: A study of lung cancer prediction. Journal of Information and Optimization Sciences, 44(6), 1075-1086. https://doi.org/10.47974/JIOS-1438, ESCI (Web of Science) Indexed.

• Rawat, P., Bajaj, M., Vats, S., & Sharma, V. (2023). A comprehensive study based on MFCC and spectrogram for audio classification. Journal of Information and Optimization Sciences, 44(6), 1057-1074. https://doi.org/10.47974/JIOS-1431 , ESCI (Web of Science) Indexed.

• Kholiya, G., Sharma, V., Vats, S., & Garg, V. (2023). A heuristic-based linear time O (N) novel solution to N-Queen problem. Journal of Information and Optimization Sciences, 44(6), 1087-1096. https://doi.org/10.47974/JIOS-1440, ESCI (Web of Science) Indexed.

• Ishrat, Z., Ali, K. B., Vats, S., & Kumar, S. (2023). Optimizing Solar Energy Harvesting: Supervised Machine Learning-Driven Peak Power Point Tracking for Diverse Weather Conditions. International Journal of Robotics & Control Systems, 3(4). Scopus /ESCI (Web of Science)

• Satvik vats et al (2024). Segmentation Synergy with a Dual U-Net and Federated Learning with CNNRF Models for Enhanced Brain Tumor Analysis. Current medical imaging, 20, e15734056312765. (SCI/SCIE Indexed) Impact Factor 2.5

• Satvik vats et al (2024). Advancing Climate Forecasting Accuracy Through Neurosymbolic Integration: Unveiling the Neurosymbolic Climate Inference and Prediction (NS-CIP) Model’s Approach to Predicting Extreme Weather Events. SN Computer Science, 5(7), 958. Scopus /ESCI (Web of Science) Indexed, Impact Factor 1.0.

• Satvik vats et al (2024). An Innovative Approach to Iris Flower Leaf Disease Classification: Federated Learning Meets CNN with Denoising Techniques. Scopus Indexed

• Satvik vats et al (2024). Bilateral Filtering and Federated Learning CNN: A Novel Approach to Rice Yellow Mottle Virus Leaf Disease Severity Grading. Scopus Indexed

Books Edited:

• Satvik Vats, Vikrant Sharma, Dibyahash Bordoloi, Satya Prakash Yadav, (2024)  " A Practitioner's Approach to Problem-Solving using AI ", Bentham Science Publishers (Scopus Indexed). https://doi.org/10.2174/97898153053641240101

• Satvik Vats et al (2016). ‘Knowledge Discovery Using Big Data Analytics’ Published by ‘Lambert Academic Publishing Germany’. ISBN 13 – 9783659906244, ISBN-10- 3659906247, PP 1-84.

• Satvik Vats et al (2015). ‘Practical Approach to Software Engineering’ published by ‘Lambert Academic Publishing Germany ISBN 13 – 978-3-659-76986-3, ISBN 10 – 365976986X, PP 1-108.

• Satvik Vats et al (2013). ‘Criminal Face Identification System’ published by ‘Lambert Academic Publishing Germany’ ISBN 13 – 9783659224140, ISBN 10 – 3659224146, PP 1-176.

Book Chapters:

• Vats, S., Sharma, V., Singh, P., Thakur, S., & Rawat, D. (2026). How Do LLMs Work?: A Deep Dive Into Transformer Models. In A. Kumar, A. de Alexandria, S. Yadav, & A. Galletta (Eds.), Digital Watermarking in Cloud Environments For Copyright Protection (pp. 85-106). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-3785-2.ch004. (Scopus Indexed)

• Vats, S., Sharma, V., Rawat, P., & Ratra, A. (2025). K-means clustering over distributed environment: A review. Uncertainty in Computational Intelligence-Based Decision Making, 173-185. Academic Press (Scopus Indexed)

• Vats, S., Sharma, V., Bajaj, M., Singh, S., & Sagar, B. B. (2025). Advanced frequent itemset mining algorithm (AFIM). In Uncertainty in Computational Intelligence-Based Decision Making (pp. 187-201). Academic Press (Scopus Indexed).

• Satvik Vats et al (2022). " Apriori-Based Algorithms Having Decentralized Approach for Mining Frequent Item-Sets: A Review" in Advanced Computer Science Applications. Apple Academic Press (Scopus Indexed).

• Satvik Vats et al (2018). "Examining Big Data Management Techniques for Cloud-Based IoT Systems." Examining Cloud Computing Technologies Through the Internet of Things. PP- 164-191, 2018. IGI Global (Scopus Indexed)

Patents

Granted Patents

[1] S. Vats, A multi-node system and a method for big data analytics, Patent No. 202131000115, Feb. 12, 2021.

[2] S. Vats, CAMERA LENS PROTECTION KIT, Patent No. 202211009261, Feb. 22, 2022.

[3] S. Vats, Emotion Recognition and Mood Analysis system (German Patent), Patent No. 202023102803, May 22, 2020.

[4] S. Vats, IMT-Voice Based Mobile Banking: Intelligent money Transfer Using Voice Based Mobile Banking, Patent No. 2020102380, Sep. 20, 2020.

Published Patents

[1] S. Vats, Multi-Disease classifier and localizer for chest X-ray, Application No. 202211004393 A, Feb. 4, 2022.

[2] S. Vats, Distributed platform-based model for identification and classification of body parts from X-ray, Application No. 202211012525 A, Mar. 18, 2022.

[3] S. Vats, An air quality improvement system using air conditioners, Application No. 202211022904 A, Apr. 22, 2022.

[4] S. Vats, A System for water management and quality assurance, Application No. 202211026084 A, May 13, 2022.

[5] S. Vats, A system and method based on an incremental learning-based cascaded model, Application No. 202211034957 A, Jun. 17, 2022.

[6] S. Vats, Air shield-based camera lens guard for dirt protection, Application No. 202211057008 A, Oct. 14, 2022.

[7] S. Vats, Star-brain: a brain game, Application No. 202211057011 A, Oct. 14, 2022.

[8] S. Vats, Manual espresso brewer, Application No. 202311004209 A, Jan. 27, 2023.

[9] S. Vats, Lung infection identification using the heatmap, Application No. 202311004206 A, Jan. 27, 2023.

[10] S. Vats, Leveraging IoT, automating homes from mobile devices & gesture, Application No. 202311004211 A, Jan. 27, 2023.

[11] S. Vats, ACTIVE REAR VIEW MIRROR CLEANER, Application No. 202411049363, Jul. 12, 2024.

[12] S. Vats, Proximity Based Attendance Manager, Application No. 202411049364, Jul. 12, 2024.

[13] S. Vats, Adaptive Tire Pressure Control System For Enhanced Efficiency and Safety, Application No. 202411049370, Jul. 12, 2024.

[14] S. Vats, ARMREST MOUNTED VEHICLE CONTROLLER (AMVC), Application No. 202411000600, Feb. 2, 2024.

[15] S. Vats, INVERTED CONICAL GLIDER FOR PRECISE PLACEMENT OF PAYLOADS ON GROUND, Application No. 202311053278, Sep. 1, 2023.

[16] S. Vats, Network Attack Classification Using Heat Map And Method Thereof, Application No. 202411039469, May 31, 2024.

UG/PG (Student)-Level Project based Publication

• Rawat, D., Khetarpal, D., Khetarpal, I., Vats, S., & Sharma, V. (2025, May). Wide-Angle Threat Detection: Fisheye Imaging and Machine Learning for Enhanced Drone and Bird Surveillance. In 2025 International Conference on Networks and Cryptology (NETCRYPT) (pp. 1945-1950). IEEE.

• Solanki, K., Yadav, A., Sharma, V., & Vats, S. (2025, May). ADAS-PeVision: Advanced Driver Assistance System for Pedestrian Movement Prediction. In 2025 International Conference on Networks and Cryptology (NETCRYPT) (pp. 1053-1058). IEEE.

• Chohan, D. K., Vats, S., Sharma, V., & Parmar, D. S. (2025, March). Optimized Detection of Tomato Leaf Diseases via VGG16 Neural Network. In 2025 International Conference on Automation and Computation (AUTOCOM) (pp. 1694-1698). IEEE.

• Dharmendra, K. R., Verma, D. K., & Vats, S. (2025, March). Advancing Brain-Computer Interfaces: A Deep Learning Approach for Enhanced Neural Signal Processing. In 2025 International Conference on Automation and Computation (AUTOCOM) (pp. 1616-1621). IEEE.

• D. Chauhan; M. Singh; A. Sharma; H. Narang; S. Vats; V. Sharma, "Development of a Legal Chatbot for Comprehensive User Support," in 2024 Asia Pacific Conference on Innovation in Technology (APCIT), 2024, pp. 1-4, doi: 10.1109/APCIT62007.2024.10673669

• R. Arya; D. Joshi; K. Sharma; V. S. Bhakuni; S. Vats; V. Sharma, "Stacked Generative Adversarial Networks (StackGAN) Text-to-Image Generator," in 2024 IEEE 3rd World Conference on Applied Intelligence and Computing (AIC), 2024, pp. 1095-1101, doi: 10.1109/AIC61668.2024.10730994

• A. Dogra; S. Sharma; D. Rawat; H. Narang; S. Vats; V. Sharma, "Using XGBoost for Risk Stratification in Differentiated Thyroid Cancer Recurrence Prediction," in 2024 IEEE 3rd World Conference on Applied Intelligence and Computing (AIC), 2024, pp. 472-477, doi: 10.1109/AIC61668.2024.10731128

• A. Mohan; D. Mohan; S. Vats; V. Sharma; V. Kukreja, "Classification of Sign Language Gestures using CNN with Adam Optimizer," in 2024 2nd International Conference on Disruptive Technologies (ICDT), 2024, pp. 430-433, doi: 10.1109/ICDT61202.2024.10489158

• S. Thapa; V. Sharma; S. Vats, "Algorithmic Forex Trading: Expert Advisor Implementation of Automated Strategies," in 2024 2nd International Conference on Disruptive Technologies (ICDT), 2024, pp. 347-352, doi: 10.1109/ICDT61202.2024.10489230

• K. Sachdeva; V. K. Singh; H. Narang; S. Vats; V. Sharma; V. Kukreja, "Detection Of Breast Tumour Using Advanced Methods," in 2024 2nd International Conference on Disruptive Technologies (ICDT), 2024, pp. 589-593, doi: 10.1109/ICDT61202.2024.10489247

• K. Solanki; S. P. Singh; A. Yadav; V. Sharma; S. Awasthi; S. Vats, "Enhancing Ophthalmic Diagnostics: CNNs in Cataract Detection," in 2024 2nd International Conference on Disruptive Technologies (ICDT), 2024, pp. 842-846, doi: 10.1109/ICDT61202.2024.10489576

• S. Uniyal; P. Dhoundiyal; V. Sharma; S. Vats, "An Intelligent Approach to Grape Leaf Disease Diagnosis Through Machine Learning," in 2024 2nd International Conference on Disruptive Technologies (ICDT), 2024, pp. 284-288, doi: 10.1109/ICDT61202.2024.10489767

• M. Chuphal; K. Singh; A. Bisht; V. Sharma; S. Awasthi; S. Vats, "Anomaly Detection in Electro-Mechanical Devices Using MFCC," in 2024 2nd International Conference on Disruptive Technologies (ICDT), 2024, pp. 986-991, doi: 10.1109/ICDT61202.2024.10489646

• A. Negi; S. Vats; M. Khatri; V. Sharma; H. Narang; V. Kukreja, "Automated Medical Analysis for Pneumonia Diagnosis," in 2024 2nd International Conference on Disruptive Technologies (ICDT), 2024, pp. 577-581, doi: 10.1109/ICDT61202.2024.10489608

• R. Rathore; P. Dhoundiyal; V. Sharma; S. Vats, "An Integrated System for Potato Leaf Disease Recognition," in 2024 2nd International Conference on Disruptive Technologies (ICDT), 2024, pp. 1614-1618, doi: 10.1109/ICDT61202.2024.10489674

• A. Singh; S. Gupta; H. Satyawali; V. Sharma; S. Awasthi; S. Vats, "MoodSync: Personalized Video Recommendation Based on User Face Emotion," in 2024 2nd International Conference on Disruptive Technologies (ICDT), 2024, pp. 975-980, doi: 10.1109/ICDT61202.2024.10489755

• D. Khetarpal; I. Khetarpal; D. Rawat; H. Narang; S. Vats; V. Sharma, "Trash Detection: Advanced Classification of Waste Materials Using ML Techniques," in 2024 OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 4.0, 2024, pp. 1-6, doi: 10.1109/OTCON60325.2024.10688146

• N. Singh; H. Narang; D. Rawat; S. Vats; V. Sharma, "Breast Cancer Prediction Using Deep Learning And Transfer Learning," in 2024 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC), 2024, pp. 1-5, doi: 10.1109/ICECCC61767.2024.10593931

• A. Uniyal; Pooja; H. Narang; S. Vats; V. Sharma; S. P. Yadav, "Employing DL-Based Algorithm for Gender and Age Identification," in 2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT), 2024, pp. 1459-1464, doi: 10.1109/IC2PCT60090.2024.10486667

• S. Dhapola; S. Goel; D. Rawat; S. Vats; V. Sharma, "Abstractive Text Summarization using Transformer Architecture," in 2024 IEEE 3rd World Conference on Applied Intelligence and Computing (AIC), 2024, pp. 13-17, doi: 10.1109/AIC61668.2024.10730840

• A. Agarwal; P. Dhoundiyal; V. Sharma; S. Vats, "Acoustic Based Drone Identification and Classification," in 2024 International Conference on Electrical Electronics and Computing Technologies (ICEECT), 2024, pp. 1-5, doi: 10.1109/ICEECT61758.2024.10739288

• P. Semwal; A. Kumar; D. Rawat; H. Narang; S. Vats; V. Sharma, "A Comprehensive Review of Automatic Speech Recognition Systems," in 2024 IEEE International Conference on Smart Power Control and Renewable Energy (ICSPCRE), 2024, pp. 1-6, doi: 10.1109/ICSPCRE62303.2024.10674831

• J. Pant; Khushi; D. Rawat; K. Verma; S. Vats; V. Sharma, "Prediction of Breast Cancer utilizing Logistic Regression, Decision Tree, Random Forest," in 2024 1st International Conference on Advanced Computing and Emerging Technologies (ACET), 2024, pp. 1-6, doi: 10.1109/ACET61898.2024.10730726

• A. Raturi; M. Pal; H. Narang; S. Vats; V. Sharma; S. P. Yadav, "A Comparative Analysis of Machine Learning Algorithms for Credit Card Fraud Detection," in 2024 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC), 2024, pp. 1-4, doi: 10.1109/ICECCC61767.2024.10593936

• N. Dhyani; J. Rani; S. Srivastava; H. Narang; S. Vats; V. Sharma, "Virtumotion: Gesture-Powered Virtual Meetups," in 2024 OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 4.0, 2024, pp. 1-6, doi: 10.1109/OTCON60325.2024.10687855

• A. Singh; P. Gusain; D. Rawat; H. Narang; S. Vats; V. Sharma, "Deep Learning-Based Fruits And Vegetables Recognition Using Convolutional Neural Network," in 2024 IEEE 3rd World Conference on Applied Intelligence and Computing (AIC), 2024, pp. 867-872, doi: 10.1109/AIC61668.2024.10730946

• K. Bhatt; A. Joshi; G. Singh; V. Sharma; S. Vats, "AI Guardian on the Road: Harnessing Machine Learning for Two-Wheeler Helmet Detection," in 2024 International Conference on Computational Intelligence and Computing Applications (ICCICA), 2024, pp. 59-64, doi: 10.1109/ICCICA60014.2024.10585188

• J. Choudhary; D. Awasthi; B. Bhatt; H. Narang; S. Vats; V. Sharma, "SentiSense: Pioneering Mental Health Application Through Advanced Technology," in 2024 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC), 2024, pp. 1-5, doi: 10.1109/ICECCC61767.2024.10593909

• R. Garg; M. Bansal; N. Agarwal; A. Purohit; S. Vats; V. Sharma, "Home Energy Management System," in 2024 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC), 2024, pp. 1-5, doi: 10.1109/ICECCC61767.2024.10593952

• P. Kimothi; A. Balodi; P. Rawat; D. Rawat; S. Vats; V. Sharma, "Optical Character Recognition of Bhrami Script using Tesseract," in 2024 Asian Conference on Intelligent Technologies (ACOIT), 2024, pp. 1-5, doi: 10.1109/ACOIT62457.2024.10939818

• S. Manwal; G. Pandey; N. Singh; V. S. Bhakuni; V. Sharma; S. Vats, "Enhancing Breast Cancer Detection:Comparative Analysis of Convolutional Neural Network Architectures with Fine-Tuning," in 2024 IEEE 3rd World Conference on Applied Intelligence and Computing (AIC), 2024, pp. 928-934, doi: 10.1109/AIC61668.2024.10731119

• N. Bisht; A. Rajvanshi; P. Saklani; H. Narang; S. Vats; V. Sharma, "Enhancing Human-Robot Interaction Through Ethical and Emotional Intelligence in Conversational AI," in 2024 Asia Pacific Conference on Innovation in Technology (APCIT), 2024, pp. 1-5, doi: 10.1109/APCIT62007.2024.10673476

• S. Thapa; G. Kholiya; V. Sharma; S. Vats, "Drone Regulation: Decentralized Registration Framework with Blockchain Technology," in 2024 Second International Conference on Advanced Computing & Communication Technologies (ICACCTech), 2024, pp. 195-201, doi: 10.1109/ICACCTech65084.2024.00041

• G. Kholiya; V. Joshi; S. Pandey; S. Thapa; V. Sharma; S. Vats, "Automated Extraction of Company Names from Product Label Images: A Text Mining Approach," in 2024 Second International Conference on Advanced Computing & Communication Technologies (ICACCTech), 2024, pp. 30-34, doi: 10.1109/ICACCTech65084.2024.00016

• S. Parashar; V. Sharma; S. Vats, "Proximity-Driven Attendance Management System," in 2024 1st International Conference on Sustainability and Technological Advancements in Engineering Domain (SUSTAINED), 2024, pp. 566-571, doi: 10.1109/SUSTAINED63638.2024.11074011

• S. Manwal; A. S. Bhandari; H. Narang; S. Vats; V. Sharma; S. P. Yadav, "Temperature Prediction: A Comparative Comprehensive Study Between Machine Learning Algorithms," in 2024 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC), 2024, pp. 1-6, doi: 10.1109/ICECCC61767.2024.10593978

• A. Harbola; R. Rana; S. S. Rawat; K. Saini; S. Vats; V. Sharma, "Human Object Interactivity Detection usingGraph Neural Networks," in 2024 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC), 2024, pp. 1-5, doi: 10.1109/ICECCC61767.2024.10593986

• M. Rauthan; P. Rawat; V. Sharma; S. Vats, "Advancing 2D Image Reconstruction Methods for Realistic Environment Modeling and Object Synthesis," in 2024 International Conference on Communication, Computing and Energy Efficient Technologies (I3CEET), 2024, pp. 290-295, doi: 10.1109/I3CEET61722.2024.10993675

• K. Yadav; S. Dabral; S. Vats; V. Sharma; V. Kukreja, "Developing a Model for Bird Vocalization Recognition and Population Estimation in Forest Ecosystems," in 2024 2nd International Conference on Disruptive Technologies (ICDT), 2024, pp. 16-21, doi: 10.1109/ICDT61202.2024.10489318

• A. Rana; A. Pant; N. Rawat; P. Rawat; S. Vats; V. Sharma, "Semantic Similarity Analysis using FastText," in 2024 IEEE 3rd World Conference on Applied Intelligence and Computing (AIC), 2024, pp. 454-460, doi: 10.1109/AIC61668.2024.10731025

• R. Karki; S. Rana; C. Jain; D. Rawat; S. Vats; V. Sharma, "Illness and Gender Classification of Cattle," in 2024 1st International Conference on Advanced Computing and Emerging Technologies (ACET), 2024, pp. 1-6, doi: 10.1109/ACET61898.2024.10730546

• V. Uniyal; S. Baluni; A. Kothari; S. Aswal; V. Sharma; S. Vats, "Dehazing Algorithms for Improved Visibility: Comparative Analysis," in 2024 International Conference on Computational Intelligence and Computing Applications (ICCICA), 2024, pp. 51-58, doi: 10.1109/ICCICA60014.2024.10584921

• A. Rawat; A. Dhyani; D. Panwa; G. Bisht; S. Vats; V. Sharma, "Knee Osteoarthritis Prediction using Transfer Learning," in 2024 IEEE 3rd World Conference on Applied Intelligence and Computing (AIC), 2024, pp. 1001-1007, doi: 10.1109/AIC61668.2024.10731036

• A. Raj; C. Mishra; A. Bahuguna; H. Shukla; S. Vats; V. Sharma, "Colourization of Old Black-and-White Media Using GAN (Generative Adversarial Network)," in 2024 IEEE International Conference on Smart Power Control and Renewable Energy (ICSPCRE), 2024, pp. 1-6, doi: 10.1109/ICSPCRE62303.2024.10674787

• A. Sharma; C. Sharma; V. Sharma; S. Vats, "Comparison & Performance Evaluation of Several Types of ECG Compression Techniques," in 2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), 2023, pp. 915-921, doi: 10.1109/ICSCDS56580.2023.10104703

• R. Saklani; K. Purohit; S. Vats; V. Sharma; V. Kukreja; S. P. Yadav, "Multicore Implementation of K-Means Clustering Algorithm," in 2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), 2023, pp. 171-175, doi: 10.1109/ICAAIC56838.2023.10140800

• M. Bajaj; P. Rawat; Diksha; S. Vats; V. Sharma; L. Gopal, "Prediction of Mental Health Treatment Adherence using Machine Learning Algorithms," in 2023 International Conference on Computational Intelligence, Communication Technology and Networking (CICTN), 2023, pp. 716-720, doi: 10.1109/CICTN57981.2023.10141520

• P. Rawat; M. Bajaj; S. Vats; V. Sharma; L. Gopal; R. Kumar, "Optimizing Hypothyroid Diagnosis with Physician-Supervised Feature Reduction using Machine Learning Techniques," in 2023 International Conference on Computational Intelligence, Communication Technology and Networking (CICTN), 2023, pp. 711-715, doi: 10.1109/CICTN57981.2023.10140459

• A. Agarwal; S. Vats; R. Agarwal; A. Ratra; V. Sharma; L. Gopal, "Sentiment Analysis in Stock Price Prediction: A Comparative Study of Algorithms," in 2023 10th International Conference on Computing for Sustainable Global Development (INDIACom), 2023, pp. 1403-1407

• A. Dhyani; A. Rawat; G. Bisht; S. Vats; V. Sharma; M. M. Baral; S. P. Yadav, "Comparative Analysis of Supervised Machine Learning Algorithms for Liver Disease Prediction with SMOTE Enhancement," in 2023 3rd Asian Conference on Innovation in Technology (ASIANCON), 2023, pp. 1-6, doi: 10.1109/ASIANCON58793.2023.10270381

• A. Ratra; A. Agarwal; S. Vats; V. Sharma; V. Kukreja; S. P. Yadav, "A Comprehensive Review on Crime Patterns and Trends Analysis using Machine Learning," in 2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), 2023, pp. 732-736, doi: 10.1109/ICAISS58487.2023.10250664

• A. Agarwal; S. Vats; R. Agarwal; A. Ratra; V. Sharma; A. Jain, "Efficient NetB3 for Automated Pest Detection in Agriculture," in 2023 10th International Conference on Computing for Sustainable Global Development (INDIACom), 2023, pp. 1408-1413

• A. Ratra; A. Agarwal; V. Sharma; S. Vats; S. Singh; V. Kukreja, "A Comparative Analysis of Fast-style Transfer and VGG19-GramMatrix Approach to Neural Style Transfer," in 2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), 2023, pp. 25-30, doi: 10.1109/ICAISS58487.2023.10250595

• P. Dhoundiyal; V. Sharma; S. Vats, "Deep Learning Framework for Automated Pothole Detection," in 2023 International Conference on Sustainable Communication Networks and Application (ICSCNA), 2023, pp. 1382-1387, doi: 10.1109/ICSCNA58489.2023.10370471

• P. Dhoundiyal; V. Sharma; S. Vats; K. Singh, "Harnessing CNNs for Accurate Skin Disease Identification," in 2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS), 2023, pp. 933-937, doi: 10.1109/ICTACS59847.2023.10389836

• A. Agarwal; A. Ratra; S. Vats; V. Sharma; S. Singh; K. Singh, "Paintings vs Photos Classification Using Deep Learning," in 2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS), 2023, pp. 922-926, doi: 10.1109/ICTACS59847.2023.10390427

• P. Rawat; M. Bajaj; S. Mehta; V. Sharma; S. Vats, "A Study on Cervical Cancer Prediction using Various Machine Learning Approaches," in 2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA), 2023, pp. 1101-1107, doi: 10.1109/ICIDCA56705.2023.10099493

• P. Rawat; M. Bajaj; V. Sharma; S. Vats, "A Comprehensive Analysis of the Effectiveness of Machine Learning Algorithms for Predicting Water Quality," in 2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA), 2023, pp. 1108-1114, doi: 10.1109/ICIDCA56705.2023.10099968

• Dolli; P. Rawat; M. Bajaj; S. Vats; V. Sharma, "An Analysis of Crop Recommendation Systems Employing Diverse Machine Learning Methodologies," in 2023 International Conference on Device Intelligence, Computing and Communication Technologies, (DICCT), 2023, pp. 619-624, doi: 10.1109/DICCT56244.2023.10110085

• P. Rawat; M. Bajaj; S. Vats; V. Sharma, "ASD Diagnosis in Children, Adults, and Adolescents using Various Machine Learning Techniques," in 2023 International Conference on Device Intelligence, Computing and Communication Technologies, (DICCT), 2023, pp. 625-630, doi: 10.1109/DICCT56244.2023.10110166

• K. Purohit; S. Vats; R. Saklani; V. Kukreja; V. Sharma; S. P. Yadav, "Improvement in K-Means Clustering for Information Retrieval," in 2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC), 2023, pp. 1239-1245, doi: 10.1109/ICESC57686.2023.10193031

• P. Rawat; M. Bajaj; P. Prerna; S. Vats; V. Sharma; P. Das, "A Study on Liver Disease Using Different Machine Learning Algorithms," in 2023 International Conference on Computational Intelligence, Communication Technology and Networking (CICTN), 2023, pp. 721-727, doi: 10.1109/CICTN57981.2023.10141325

• B. Agarwal; S. Pokhriyal; S. Vats; V. Sharma; P. Rawat; M. Bajaj, "Crop Prediction Using Ensemble Learning," in 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA), 2023, pp. 90-95, doi: 10.1109/ICIRCA57980.2023.10220666

• S. Srivastava; N. Dhyani; V. Sharma; S. Vats; S. P. Yadav; V. Kukreja; R. Singh, "Lung Infection and Identification using Heatmap," in 2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), 2023, pp. 1093-1098, doi: 10.1109/ICAAIC56838.2023.10140204

• N. Bisht; M. Bajaj; P. Rawat; S. Vats; V. Sharma; S. Srivastava, "Comparative Analytic Study of Machine Learning Algorithms for PCOS Diagnosis and Outcome Prediction: An Empirical Analysis," in 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA), 2023, pp. 391-397, doi: 10.1109/ICIRCA57980.2023.10220835

• M. Bajaj; P. Rawat; A. Bhatt; S. Vats; V. Sharma, "A Study on Tuberculosis With Deep Learning and Machine Learning Approaches," in 2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1), 2023, pp. 1-6, doi: 10.1109/ICAIA57370.2023.10169724

• S. Mehta; P. Rawat; M. Bajaj; S. Vats; V. Sharma; V. Kukreja, "Predicting Breast Cancer An Evaluation of Machine Learning Approaches," in 2023 3rd International Conference on Intelligent Technologies (CONIT), 2023, pp. 1-8, doi: 10.1109/CONIT59222.2023.10205711

• C. Grover; S. Vats; V. Sharma; P. Rawat; M. Bajaj; S. Singh, "Intelligent System for Identification and Classification of Pneumonia using Machine Learning," in 2023 3rd Asian Conference on Innovation in Technology (ASIANCON), 2023, pp. 1-6, doi: 10.1109/ASIANCON58793.2023.10269870

• M. Bajaj; P. Rawat; V. Sharma; S. Vats; S. P. Yadav; V. Kukreja, "Study on Degenerative Parkinson's Disease Using Various Machine Learning Algorithms," in 2023 3rd Asian Conference on Innovation in Technology (ASIANCON), 2023, pp. 1-6, doi: 10.1109/ASIANCON58793.2023.10270216

• S. Pokhriyal; S. Gairola; S. Vats; R. S. Rawat; R. B. Raut; V. Sharma, "An Ensemble Sentiment Classification System of Twitter Data for Airline Services Analysis: Smart Use of Soft Computing," in 2023 International Conference on Communication, Security and Artificial Intelligence (ICCSAI), 2023, pp. 636-642, doi: 10.1109/ICCSAI59793.2023.10421374

• Satvik Vats & B. B. Sagar. Data Lake: A plausible Big Data science for business intelligence. In Communication and Computing Systems: Proceedings of the 2nd International Conference on Communication and Computing Systems (ICCCS 2018), December 1-2, 2018, Gurgaon, India (p. 442). CRC Press (Taylor & Francis). (Scopus/ Web of Science Indexed)

• Satvik Vats et al (2016). “Implementation of an Improved Algorithm for Frequent Itemset Mining using Hadoop”. IEEE international conference on computing communication and automation (iccca-2016) 29-30th, April, 2016. Published in IEEE explore. Scopus /Web of Science.

• Satvik Vats et al (2015). Review of Parallel Apriori Algorithm on Map Reduce Framework for Performance Enhancement in ‘computer society of India’ ‘Published in Springer Nature Singapore (AISC–Series), PP- 403-411. Scopus Indexed.

• Satvik Vats et al (2013). Genetic algorithms for credit card fraud detection published in Proceedings of the ‘International Conference on Education and Educational Technologies’, Rhodes Island-Greece, PP 42-52.