A Gini Index Based Elegant Decision Tree Classifier to Predict Precipitation. - L. V. Narasimha Prasad; Kishna Rao Patro; Mannava Munirathnam Naidu (Asia International Conference on Modelling and Simulation, 2013)

Detection of Wavelengths for Hail Identification Using Satellite Imagery of Clouds. - Anisha Ravinder; Prudhvi Kumar Reddy; L. V. Narasimha Prasad (CICSyN, 2013)

Monitoring and Extracting Abnormalities in Land Surface Temperature Images for Automatic Identification of Forest Fires. - L. V. Narasimha Prasad; Rajkumar Gatadi Bandi; Buddi Padmaja (EMS, 2013)

A Novel Decision Tree Approach for the Prediction of Precipitation Using Entropy in SLIQ. - L. V. Narasimha Prasad; Prudhvi Kumar Reddy; Mannava Munirathnam Naidu (UKSim, 2013)

A Novel Analytical Model for Analysis of Delay and Crosstalk in Non Linear RLC Interconnects for Ultra Low Power Applications. - J. V. R. Ravindra; Pandurangaiah Yagateela; L. V. Narasimha Prasad (UKSim, 2013)

An Entropy Based Elegant Decision Tree Classifier to Predict Precipitation. - L. V. Narasimha Prasad; Mannava Munirathnam Naidu; C. Kishor Kumar Reddy (EMS, 2014)

Detection of thunderstorms using data mining and image processing. - C. Kishor Kumar Reddy; P. R. Anisha; L. V. Narasimha Prasad (ICADIWT, 2014)

Satellite Derived pH Estimation for Acidity in Precipitation Using Water Vapor and Nitrogen Dioxide Imagery. - L. V. Narasimha Prasad; C. Kishor Kumar Reddy; Shobha Rani Depuru (SCSE, 2015)

Revealing of Earth Quake Magnitude Using Seismic Signals and Wavelet Transforms. - G. V. S. Raju 002; C. Kishor Kumar Reddy; L. V. Narasimha Prasad (SCSE, 2015)

An efficient sampling-based visualization technique for big data clustering with crisp partitions. - K. Rajendra Prasad; Moulana Mohammed; L. V. Narasimha Prasad; Dinesh Kumar Anguraj (Distributed Parallel Databases, 2021)

Intelligent system for leaf disease detection using capsule networks for horticulture. - B. Janakiramaiah 001; Gadupudi Kalyani; L. V. Narasimha Prasad; Arava Karuna; M. Krishna (J. Intell. Fuzzy Syst., 2021)

Hyperparameter Optimization for Transfer Learning of VGG16 for Disease Identification in Corn Leaves Using Bayesian Optimization. - Malliga Subramanian; L. V. Narasimha Prasad; B. Janakiramaiah 001; Asanapuram Mohan Babu; Sathishkumar V. E. (Big Data, 2022)

Privacy and Security Enhancement of Smart Cities using Hybrid Deep Learning-enabled Blockchain. - Joseph Bamidele Awotunde; Tarek Gaber; L. V. Narasimha Prasad; Sakinat Oluwabukonla Folorunso; Vuyyuru Lakshmi Lalitha (Scalable Comput. Pract. Exp., 2023)

A Secure and Efficient Scheme Based on Unlinkability and Anonymous Traceable Protocol for Cloud-Assisted IoT Environment. - Rajkumar Gaur; Shiva Prakash; L. V. Narasimha Prasad; Sanjay Kumar; Kumar Abhishek 004; Manisha Guduri (J. Circuits Syst. Comput., 2023)

A Method for Specifying Yoga Poses Based on Deep Learning, Utilizing OpenCV and Media Pipe Technologies. - T. Anuradha; N. Krishnamoorthy; C. S. Pavan Kumar; L. V. Narasimha Prasad; Anilkumar Chunduru; Usha Moorthy (Scalable Comput. Pract. Exp., 2024)

Hypergraph-Based Interference Avoidance Resource Management in Customer-Centric Communication for Intelligent Cyber-Physical Transportation Systems. - Jie Huang 018; Shilong Zhang; Fan Yang 031; Tao Yu; L. V. Narasimha Prasad; Manisha Guduri; Keping Yu (IEEE Trans. Consumer Electron., 2024)

An optimized multi-objective-derived U-net for semantic segmentation in high-resolution remote sensing images. - Nagamani Gonthina; L. V. Narasimha Prasad (Signal Image Video Process., 2025)

An enhanced convolutional neural network architecture for semantic segmentation in high-resolution remote sensing images. - Nagamani Gonthina; L. V. Narasimha Prasad (Discov. Comput., 2025)