Dr. Swati Sharma

Dr. Swati Sharma

Associate Professor
Department of Computer Science & Engineering
Email Id :-

Emp. Code :- 6095


Soft Computing

  • Ms. Swati Sharma, Dr. Vineet Sharma (2019-20). Identification and Prioritization of Flood Conditioning Factors using ISM and MICMAC Technique. International Journal of Innovative Technology and Exploring Engineering (IJITEE). ISSN:2278-3075
  • Swati Sharma , Vineet Sharma (2021-22). Flood Conditioning Factors Identification And Evaluation Of The Baghain River Basin Using SWARA Technique. Webology. ISSN:1735-188X
  • Swati Sharma , Vineet Sharma (2021-22). A New Methodology For Efficient Flood Risk Mapping Using Machine Learning Techniques. Journal of Theoretical and Applied Information Technology. ISSN:1992-8645
  • SWATI SHARMA. A Review on Using Soft Computing Techniques In Disaster Management and Risk Assessment. International Conference on Innovation and Challenges in Cyber Security (ICICCS-INBUSH). ISBN:978-1-5090-2084-3
  • Dr.Parita Jain, Swati Sharma. Gaps Identification for User Experience for Model Driven Engineering. CONFLUENCE-2021. ISBN:ISBN: 978-0-7381-3160-3
  • Dr. Dr. Parita Jain, Ms. Swati Sharma, Mr. Dayanand Sharma (2019-12-13). Data Mining Based Computer Implemented Method Of Churn Prediction Using Machine Learning Techniques. Indian Patent Office. Application Number:201941050314 A
  • Dr. Swati Sharma (1900-01-00). NOISY TEXT PREDICTION IN LARGE VOLUME CLINICAL DATA USING REINFORCEMENT LEARNING. Australian patent office. Application Number:2020103756
  • Dr. Swati Sharma (2022-10-21). AN AI-BASED SYSTEM AND PROCESS FOR PROVIDING RAPID, PRECISE CARDIAC CARE. Indian Patent Office. Application Number:202211056072 A
  • Dr. Swati Sharma (2022-12-16). A SYSTEM AND METHOD FOR DISASTER MANAGEMENT THROUGH VISUAL GEOGRAPHICAL MONITORING. Indian Patent Office. Application Number:202211069212 A
  • Mr. Kamal Kant Sharma & Swati Sharma (2023-03-17). A SYSTEM BASED ON CLOUD, ML & INTERNET OF THINGS FOR EARLY WARNING OF FLOODING DISASTER. Indian Patent Office. Application Number:202311013706 A