Recent trends and advances in artificial intelligence and internet of things VE Balas, R Kumar, R Srivastava Springer, 2020 | 86 | 2020 |
Computational intelligence for machine learning and healthcare informatics R Srivastava, PK Mallick, SS Rautaray, M Pandey Walter de Gruyter GmbH & Co KG, 2020 | 12 | 2020 |
A hybrid model for the identification and classification of thyroid nodules in medical ultrasound images R Srivastava, P Kumar International Journal of Modelling, Identification and Control 41 (1-2), 32-42, 2022 | 8 | 2022 |
Review on Cyber Security Intrusion Detection: Using Methods of Machine Learning and Data Mining R Sriavstava, P Singh, H Chhabra Internet of Things and Big Data Applications, 121-132, 2020 | 8 | 2020 |
A CNN-SVM Hybrid Model for The Classification of Thyroid Nodules in Medical Ultrasound Images R Srivastava, P Kumar International Journal of Grid and Utility Computing 13 (6), 624-639, 2022 | 7 | 2022 |
BL_SMOTE Ensemble Method for Prediction of Thyroid Disease on Imbalanced Classification Problem R Srivastava, P Kumar Proceedings of Second International Conference on Computing, Communications …, 2021 | 7* | 2021 |
An energy efficient clustered routing protocols for wireless sensor networks N Mittal, R Srivastava Recent Trends and Advances in Artificial Intelligence and Internet of Things …, 2020 | 7 | 2020 |
Trends in Deep Learning Methodologies: Algorithms, Applications, and Systems V Piuri, S Raj, A Genovese, R Srivastava Academic Press, 2020 | 6 | 2020 |
Analysis of different detection and mitigation algorithm of ddos attack in software-defined Internet of Things framework: A review N Kumar, N Mittal, P Thakur, R Srivastava Recent Trends and Advances in Artificial Intelligence and Internet of Things …, 2020 | 6 | 2020 |
Optimizing CNN based model for thyroid nodule classification using data augmentation, segmentation and boundary detection techniques R Srivastava, P Kumar Multimedia Tools and Applications, 1-36, 2023 | 4* | 2023 |
GSO-CNN based Model for the Identification and Classification of Thyroid Nodule in Medical USG Images R Srivastava, P Kumar Network Modeling Analysis in Health Informatics and Bioinformatics 11 (1), 1-14, 2022 | 4* | 2022 |
Green Information and Communication Systems for a Sustainable Future R Srivastava, S Kautish, R Tiwari CRC Press, 2020 | 4 | 2020 |
A Review on Localization in Wireless Sensor Networks for Static and Mobile Applications P Singh, N Mittal, R Srivastava, S Kautish, R Tiwari Green Information and Communication Systems for a Sustainable Future, 1-28, 2020 | 3 | 2020 |
Deep-GAN: an improved model for thyroid nodule identification and classification R Srivastava, P Kumar Neural Computing and Applications, 1-20, 2024 | 2 | 2024 |
A Contemporary Review on Soft Computing Techniques for Thyroid Identification and Detection R Srivastava, P Kumar International Journal of Computer Applications in Technology (IJCAT) 69 (4 …, 2022 | 1* | 2022 |
Segmentation and classification of hand symbol images using classifiers J Kaur, N Mittal, S Kaur, R Srivastava, S Raj Trends in Deep Learning Methodologies, 265-275, 2021 | 1 | 2021 |
A fuzzy entropy-based multilevel image thresholding using neural network optimization algorithm D Thakur, N Mittal, S Singh, R Srivastava Computational Intelligence for Machine Learning and Healthcare Informatics 1 …, 2020 | 1 | 2020 |
An Analysis on Risk Management and Risk in the Software Projects R Srivastava Analyzing the Role of Risk Mitigation and Monitoring in Software Development …, 2018 | 1 | 2018 |
Performance Comparison of Various Machine Learning Classifiers Using Fusion of LBP, Intensity and GLCM Feature Extraction Techniques for Thyroid Nodules Classification R Srivastava, P Kumar International Journal of Grid and Utility Computing, 1-26, 2023 | | 2023 |
A novel model for the identification and classification of thyroid nodules using deep neural network R Srivastava, P Kumar MISP 2022: Machine Learning and Computational Intelligence Techniques for …, 2023 | | 2023 |