Sentiment analysis on twitter using streaming API M Trupthi, S Pabboju, G Narasimha 2017 IEEE 7th international advance computing conference (IACC), 915-919, 2017 | 129 | 2017 |
Predicting the customer’s opinion on amazon products using selective memory architecture-based convolutional neural network T Mandhula, S Pabboju, N Gugulotu The journal of Supercomputing 76 (8), 5923-5947, 2020 | 32 | 2020 |
A CBIR classification using support vector machines K Sugamya, S Pabboju, AV Babu 2016 International Conference on Advances in Human Machine Interaction (HMI …, 2016 | 32 | 2016 |
A novel approach for content-based image indexing and retrieval system using global and region features S Pabboju, AVG Reddy IJCSNS 9 (2), 119-130, 2009 | 26 | 2009 |
Analysis of dual tree M‐band wavelet transform based features for brain image classification RR Ayalapogu, S Pabboju, RR Ramisetty Magnetic resonance in medicine 80 (6), 2393-2401, 2018 | 23 | 2018 |
Improved feature extraction and classification—Sentiment analysis M Trupthi, S Pabboju, G Narasimha 2016 International Conference on Advances in Human Machine Interaction (HMI …, 2016 | 20 | 2016 |
Advance text steganography algorithms: an overview KA Kumar, S Pabboju, NMS Desai International Journal of Research and Applications 1 (1), 31-35, 2014 | 20 | 2014 |
Applications of IoT for soil quality K Spandana, S Pabboju ICICCT 2019–System Reliability, Quality Control, Safety, Maintenance and …, 2020 | 16 | 2020 |
Possibilistic fuzzy C-means topic modelling for twitter sentiment analysis M Trupthi, S Pabboju, G Narsimha International Journal of Intelligent Engineering and Systems 11 (3), 100-108, 2018 | 16 | 2018 |
Software engineering: risk features in requirement engineering SN Bhukya, S Pabboju Cluster Computing 22 (Suppl 6), 14789-14801, 2019 | 13 | 2019 |
Hybrid active contour model and deep belief network based approach for brain tumor segmentation and classification A Ratna Raju, S Pabboju, R Rajeswara Rao Sensor Review 39 (4), 473-487, 2019 | 13 | 2019 |
An intelligent channel assignment approach for minimum interference in wireless mesh networks using learning automata and genetic algorithms N Balusu, S Pabboju, G Narsimha Wireless Personal Communications 106, 1293-1307, 2019 | 12 | 2019 |
ICICCT 2019–System Reliability, Quality Control, Safety, Maintenance and Management K Spandana, S Pabboju ICICCT 2019–System Reliability, Quality Control, Safety, Maintenance and …, 2020 | 10 | 2020 |
A novel approach for multi-label classification using probabilistic classifiers GR Kommu, M Trupthi, S Pabboju 2014 International Conference on Advances in Engineering & Technology …, 2014 | 10 | 2014 |
Data security in cloud computing and outsourced databases SN Bhukya, S Pabboju, KV Sharma 2016 International Conference on Electrical, Electronics, and Optimization …, 2016 | 9 | 2016 |
An ensemble model for predicting chronic diseases using machine learning algorithms B Manjulatha, S Pabboju Smart Computing Techniques and Applications: Proceedings of the Fourth …, 2021 | 8 | 2021 |
Deep Sentiments Extraction for Consumer Products Using NLP-Based Technique M Trupthi, S Pabboju, N Gugulotu Soft Computing and Signal Processing: Proceedings of ICSCSP 2018, Volume 2 …, 2019 | 8 | 2019 |
Image enhancement using singular value decomposition K Sugamya, S Pabboju, A VinayaBabu 2016 International Conference on Research Advances in Integrated Navigation …, 2016 | 8 | 2016 |
A dynamic approach for retrieval of software components using genetic algorithm S Vodithala, S Pabboju 2015 6th IEEE International Conference on Software Engineering and Service …, 2015 | 7 | 2015 |
CBIR using SIFT with LoG, DoG and PCA K Sugamya, P Suresh, A Vinaya Babu, R Akhila Data Engineering and Communication Technology: Proceedings of 3rd ICDECT …, 2020 | 6 | 2020 |