A Deep Learning-Based Approach to Forecast Ionospheric Delays for GPS Signals von Srivani, I., Siva Vara Prasad, G., Venkata Ratnam, D.

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New Energy Aware MPR Selection for Securing OLSR Routing Scheme Under Black Hole Attack: A Machine Learning Approach von Shafi, Shaik, Venkata Ratnam, D.

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An Efficient Cross Layer Design of Stability Based Clustering Scheme Using Ant Colony Optimization in VANETs von Shafi, Shaik, Venkata Ratnam, D.

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GNSS multipath mitigation techniques in urban scenarios von Sravanthi, P., Ratnam, D. Venkata

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An improved NeQuick-G global ionospheric TEC model with a machine learning approach von Sivakrishna, K., Venkata Ratnam, D., Sivavaraprasad, Gampala

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Performance evaluation of ionospheric time delay forecasting models using GPS observations at a low-latitude station von Sivavaraprasad, G., Venkata Ratnam, D.

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A Cross Layer Cluster Based Routing Approach for Efficient Multimedia Data Dissemination with Improved Reliability in VANETs von Shafi, Shaik, Venkata Ratnam, D.

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Role of antioxidants in prophylaxis and therapy: A pharmaceutical perspective von Ratnam, D. Venkat, Ankola, D.D., Bhardwaj, V., Sahana, D.K., Kumar, M.N.V. Ravi

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Ant-Colony Optimization Based Energy Aware Cross Layer Routing Protocol to Improve Route Reliability in MANETs von Shafi, Shaik, Ratnam, D. Venkata

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Implementation of Hybrid Deep Learning Model (LSTM-CNN) for Ionospheric TEC Forecasting Using GPS Data von Ruwali, Adarsha, Kumar, A. J. Sravan, Prakash, Kolla Bhanu, Sivavaraprasad, G., Ratnam, D. Venkata

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Statistical Analysis of Global and Regional Ionospheric Total Electron Content (TEC) Using Extreme Value Distributions von Emmela, Suneetha, Ratnam, D. Venkata, Otsuka, Yuichi, Shinbori, Atsuki, Sori, Takuya, Nishioka, Michi, Perwitasari, Septi

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An Extreme Value Analysis of Long-term GNSS Ionospheric Total Electron Content Data Observed at Japan Grid Point Location (34.95°N and 134.05°E) von Emmela, Suneetha, Venkata Ratnam, D, Otsuka, Yuichi, Shinbori, Atsuki, Sori, Takuya, Nishioka, Michi, Perwitasari, Septi

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Auto-detection of sporadic E and spread F events from the digital ionograms von Venkateswara Rao, T., Sridhar, M., Venkata Ratnam, D.

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Multi-class classification of ionospheric scintillations using SMOTE-Super Learner ensemble technique von Srivani, I., Sridhar, M., Swamy, K.C.T., Venkata Ratnam, D.

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A trust based energy and mobility aware routing protocol to improve infotainment services in VANETs von Shafi, Shaik, Ratnam, D. Venkata

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Analysis of TEC values predicted by OKSM amongst low, mid and high latitude GPS stations during X 9.3 solar flare von Kiruthiga, S., Mythili, S., Mukesh, R., Vijay, M., Venkata Ratnam, D.

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Machine learning algorithm to forecast ionospheric time delays using Global Navigation satellite system observations von Mallika I, Lakshmi, Ratnam, D. Venkata, Raman, Saravana, Sivavaraprasad, G.

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Mitigation of Ionospheric Scintillation Effects on GNSS Signals Using Variational Mode Decomposition von Sivavaraprasad, G., Padmaja, R. Sree, Ratnam, D. Venkata

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A New Ionospheric Model for Single Frequency GNSS User Applications Using Klobuchar Model Driven by Auto Regressive Moving Average (SAKARMA) Method Over Indian Region von Mallika, I. Lakshmi, Ratnam, D. Venkata, Raman, Saravana, Sivavaraprasad, Gampala

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Global ionospheric total electron content short-term forecast based on Light Gradient Boosting Machine, Extreme Gradient Boosting, and Gradient Boost Regression von Emmela, Suneetha, Rama Lahari, V., Anusha, B., Bhavana, D., Yasyukevich, Yury V., Demyanov, Vladislav V., Venkata Ratnam, D.

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