E-Mail spam detection and classification using SVM and feature Extraction S Nirmal, T Verma Int. J. Advance Res., Ideas Innov. Technol 3 (3), 1491-1495, 2017 | 29 | 2017 |
Prediction of diseased rice plant using video processing and LSTM-simple recurrent neural network with comparative study T Verma, S Dubey Multimedia Tools and Applications 80 (19), 29267-29298, 2021 | 24 | 2021 |
Identification and classification of normal and infected apples using neural network B Tiger, T Verma International Journal of Science and Research 2 (3), 160-163, 2013 | 24 | 2013 |
A new digital image watermarking algorithm based on image interlacing, DWT, DCT M Khan, A Kushwaha, T Verma 2015 International Conference on Industrial Instrumentation and Control …, 2015 | 15 | 2015 |
Impact of color spaces and feature sets in automated plant diseases classifier: a comprehensive review based on rice plant images T Verma, S Dubey Archives of computational methods in engineering 27 (5), 1611-1632, 2020 | 14 | 2020 |
Sentiment analysis using maximum entropy algorithm in big data D Patel, S Saxena, T Verma International Journal of Innovative Research in Science, Engineering and …, 2016 | 14 | 2016 |
A distributed framework for event log analysis using MapReduce SK Dewangan, S Pandey, T Verma 2016 International Conference on Advanced Communication Control and …, 2016 | 11 | 2016 |
Image Segmentation and Various Segmentation Techniques–A Review B Baral, S Gonnade, T Verma International Journal of Soft Computing and Engineering (IJSCE) ISSN, 2231-2307, 2014 | 11 | 2014 |
Lesion segmentation in dermoscopic images using decision based neuro fuzzy model B Baral, S Gonnade, T Verma International Journal of Computer Science and Information Technologies 5 (2 …, 2014 | 11 | 2014 |
Half hourly electricity load prediction using echo state network S Varshney, T Verma International Journal of Science and Research 3 (6), 885-888, 2014 | 10 | 2014 |
Tomato leaf disease detection using back propagation neural network G Roopali, T Verma International Journal of Innovative Technology and Exploring Engineering 9 …, 2020 | 9 | 2020 |
Optimizing rice plant diseases recognition in image processing and decision tree based model T Verma, S Dubey International Conference on Next Generation Computing Technologies, 733-751, 2017 | 9 | 2017 |
Fuzzy-filtered neural network for rice disease diagnosis using image analysis T Verma, S Dubey International Journal of Innovative Technology and Exploring Engineering 8 …, 2019 | 7 | 2019 |
Texture image classification using neurofuzzy approach S Panigrahi, T Verma Int. J. Eng. Comput. Sci 2, 2309-2313, 2013 | 7 | 2013 |
A Survey of identification of soybean crop diseases P Dongre, T Verma Int. J. Adv. Res. Comput. Eng. Technol 1 (8), 361-364, 2012 | 6 | 2012 |
Paddy disease recognition using image processing and radial basis function network T Verma, S Dubey Indian Journal of Science and Technology, 2017 | 5 | 2017 |
Damage detection caused by natural disaster using image processing technique R Singh, P Verma Int. J. Recent Innov. Trends Comput. Commun 3 (4), 2287-2291, 2015 | 5 | 2015 |
Brain cancer classification using back propagation neural network and principle component analysis GR Nayak, T Verma International Journal of Technical Research and Applications 2 (4), 26-31, 2014 | 5 | 2014 |
A step towards precision farming of rice crop by estimating loss caused by leaf blast disease using digital image processing and fuzzy clustering T Verma, SK Satpathy, LK Sharma International Journal of Computer Trends and Technology, 1-6, 2011 | 5 | 2011 |
Color image segmentation of disease infected plant images captured in an uncontrolled environment T Verma, S Dubey, H Sabrol International Conference on Next Generation Computing Technologies, 790-804, 2017 | 4 | 2017 |