Dr. U. Srinivasulu Reddy
Dr. U. Srinivasulu Reddy
Associate Professor, Department of Computer Applications, National Institute of Technology
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Cited by
Cited by
Crop pest classification based on deep convolutional neural network and transfer learning
K Thenmozhi, US Reddy
Computers and Electronics in Agriculture 164, 104906, 2019
Insect classification and detection in field crops using modern machine learning techniques
T Kasinathan, D Singaraju, SR Uyyala
Information Processing in Agriculture 8 (3), 446-457, 2021
Machine learning techniques for stress prediction in working employees
US Reddy, AV Thota, A Dharun
2018 IEEE International Conference on Computational Intelligence and …, 2018
Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State
VKK Venkata Chirra, Srinivasulu Reddy Uyyala
Revue d'Intelligence Artificielle 33 (6), 461-466, 2019
Data Imbalance: Effects and Solutions for Classification of Large and Highly Imbalanced Data
USR S. Akila
Internal Conference on Research in Engineering, 2016
Parallel and incremental credit card fraud detection model to handle concept drift and data imbalance
A Somasundaram, S Reddy
Neural Computing and Applications 31 (Suppl 1), 3-14, 2019
Aspect based sentiment analysis of students opinion using machine learning techniques
M Sivakumar, US Reddy
2017 international conference on inventive computing and informatics (ICICI …, 2017
BIDAPSCA5G: Blockchain based Internet of Things (IoT) device to device authentication protocol for smart city applications using 5G technology
M Vivekanandan, VN Sastry, S Reddy U
Peer-to-Peer Networking and Applications, 1-17, 2020
Cost-sensitive Risk Induced Bayesian Inference Bagging (RIBIB) for credit card fraud detection
S Akila, US Reddy
Journal of computational science 27, 247-254, 2018
Machine learning ensemble with image processing for pest identification and classification in field crops
T Kasinathan, SR Uyyala
Neural Computing and Applications 33 (13), 7491-7504, 2021
A novel approach for churn prediction using deep learning
A Mishra, US Reddy
2017 IEEE international conference on computational intelligence and …, 2017
A comparative study of customer churn prediction in telecom industry using ensemble based classifiers
A Mishra, US Reddy
2017 International conference on inventive computing and informatics (ICICI …, 2017
Aspect-based sentiment analysis of mobile phone reviews using LSTM and fuzzy logic
M Sivakumar, SR Uyyala
International Journal of Data Science and Analytics 12 (4), 355-367, 2021
Facial Emotion Recognition Using NLPCA and SVM
KVKK Chirra Venkata Rami Reddy, Uyyala Srinivasulu Reddy
Traitement du Signal 36 (1), 13-22, 2019
Image processing techniques for insect shape detection in field crops
K Thenmozhi, US Reddy
2017 International Conference on Inventive Computing and Informatics (ICICI …, 2017
Virtual facial expression recognition using deep CNN with ensemble learning
VRR Chirra, SR Uyyala, VKK Kolli
Journal of Ambient Intelligence and Humanized Computing 12 (12), 10581-10599, 2021
Blockchain based privacy preserving user authentication protocol for distributed mobile cloud environment
M Vivekanandan, S VN, SR U
Peer-to-Peer Networking and Applications 14 (3), 1572-1595, 2021
Modelling a stable classifier for handling large scale data with noise and imbalance
A Somasundaram, US Reddy
2017 International Conference on Computational Intelligence in Data Science …, 2017
Credit card fraud detection by modelling behaviour pattern using hybrid ensemble model
VSS Karthik, A Mishra, US Reddy
Arabian Journal for Science and Engineering 47 (2), 1987-1997, 2022
Anti-phishing System using LSTM and CNN
B Janet, S Reddy
2020 IEEE International Conference for Innovation in Technology (INOCON), 1-5, 2020
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