Neeta Verma

Professional Qualifications

  • B.E : Computer Science
  • M.Tech : Computer Science
  • PhD :Soft Computing

Teaching Experience

25 years experience teaching courses on undergraduate and postgraduate levels

Subject of Interest

Artificial Intelligence, Data Mining, soft computing, Neural Network, Machine learning, Data Science.

Academic Achievements

International Journals
  • "An Intelligent approach to enhance the help messages for a compiler - An expert system" International Journal on Futuristic Computer Applications. Number 23 (ISBN: 978-93-80746-22-7) 2010
  • "Approach towards Car Failure Diagnosis-An Expert System" International Journal on Futuristic Computer Applications. Number 23 (ISBN: 978-93-80746-22-7) 2010
  • "An approach to integrate the knowledge based systems” International Journal of Computer Applications in Engineering Sciences (IJCAES) ".JUNE 2011
  • "Time Series Analysis of Forecasting Indian Rainfall" International Journal of Inventive Engineering and Sciences (IJIES)ISSN: 2319–9598, Volume-1, Issue-6, May 2013
  • "A Review Study of Weather Forecasting Using Artificial Neural Network Approach", International Journal of Engineering Research & Technology (IJERT) Vol. 2 Issue 11, November – 2013,ISSN: 2278-0181.
  • " Neuro-Genetic Hybrid approach for Rainfall Forecasting",International Journal of Computer Science and Information Technologies (IJCSIT) ISSN: 0975-9646., 2014, pp 1291-1295
  • "Artificial Neural Network for preditability of all india tainfall ussing historical time series",International Journal of Science & Management ,March 2015 .
  • "Optimization of Fuzzy C Means Clustering using Genetic Algorithm for an Image" International Journal of Computer Applications , Volume 121 - Number 17, Year of Publication: 2015.
  • "Prospects & scope of genetic algorithm In green computing", International Journal Of Advanced Technology In Engineering And Science Www.Ijates.Com Volume No 03, Special Issue No. 10 , February 15 .
  • "Comparative Analysis of classification Algorithms using WEKA tool", International Journal of Scientific & Engineering Research, Volume 7, Issue 8, 2014 ISSN 2229-5518 August-2016
  • "ll India maximum temperature analysis using a soft computing technique ANN" ,International Journal of Computer Science and Information Security, Volume 14,Issue 12, Publication date ,2016/12/1 Pages 395. (ESCI - IP & Science) December 2016.
  • "Skill Scores Verification for all India Rainfall Data Using Artificial Neural Network" International Journal of Soft Computing, Volume 12, Issue 1, DOI: 10.3923/ijscomp.2017.13.19-(SCOPUS INDEX) June 2017.
  • "Traffic lights control by soft computing approach-fuzzy logic", Journal of Analysis and Computation, ISSN 0973-2861 Volume XII, Issue I, Jan-June 2019.
  • "Twitter sentiment analysis on real time data", International journal of research and analytical reviews (ijrar), E-ISSN 2348-1269,P-ISSN 2349-5138,Volume :7 Issue :2 ,June 2020 (UGC Approved).
  • Abhishek Agarwal; Amit Rana; Neeta Verma; Karan Gupta, "Enhancement of classification techniques using principal component analysis and class imbalance handling methods in credit card defaulter detection," International Journal of Forensic Engineering 2021 Vol.5 No.1. DOI: 10.1504/IJFE.2021.117383. [Published](Inderscience Publications)
  • Abhishek Saxenaa , Dr. Bharti Kalrab & Dr. Neeta Verma, "A Comparative Analysis of Artificial Neural Network and Deep Learning Techniques in Heart Disease" Turkish Journal of Computer and Mathematics Education Vol.12 No.3(2021),3650-3661. [Published](Scopus Journal )
International Conferences
  • Artificial Neural Network for preditability of all india tainfall ussing historical time series”,Internarional Conference on Recent Trends in Engineering Science and Management JNU,Convention center,New Delhi,15 March 2015.
  • A Comparative Study and enhancement of classification techniques using Principal Component Analysis for credit card dataset”, IEEE Conference- international conference on intelligent engineering and management,Published in IEEE xplore digital library.July 2020.
  • Dr. V Nagajothi, Kumar Devadutta, Mr. Guru Prasad Das, Mr. Ravi Rai Dangi, Mrs. Neetu Bhadouria, Mr. Raghuveer Meena, Dr. Ashish Manohar Urkude, Amairullah Khan Lodhi, Dr. Neeta Verma, Dr. I. V. Prakash, Dr. Deepika Yadav" INTELLIGENCE SYSTEM FOR THE EARLY DETECTION OF OMICRON SYMPTOMS BASED ON ARTIFICIAL INTELLIGENCE, IOT, AND ARTIFICIAL INTELLIGENCE" Patent No. 202141058638, 24 Dec,2021 [Published]

Areas of Interest:

Artificial Intelligence , Machine learning