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ORCIDNaresh Tangudu
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- 2023
[c8]K. Reddy Madhavi, P. Sunitha, Naresh Tangudu, Vemuri Sailaja, Madhavi Gudavalli, K. Mahesh Kumar:
Flower Segmentation and Classification Using U-Net + ResNeXt Deep Model. HIS (2) 2023: 442-449- [c7]P. Leela, P. Megana Santhoshi
, K. Ayyappa Swamy, K. Reddy Madhavi, Naresh Tangudu, K. Mahesh Kumar:
Vehicle Type Detection Using Faster R-CNN. HIS (2) 2023: 450-456 - [c6]Raghunath Mandipudi, A. Basi Reddy, Konatham Sumalatha, Naresh Tangudu, Madhavi Gudavalli, K. Mahesh Kumar:
BEiT-Based Deep Model for Agricultural Pest Detection. IBICA (2) 2023: 266-274 - [c5]K. Ayyappa Swamy, G. Madhavi, K. Reddy Madhavi, Naresh Tangudu, C. V. Krishnaveni, S. Hemachandra:
Solid Waste Classification Using Transformer Model. IBICA (2) 2023: 284-291 - [c4]G. Vasavi, V. Sandeep Kumar Reddy, A. Basi Reddy, J. Avanija, K. Reddy Madhavi, Naresh Tangudu:
Deep Transformer-Based Model for Sepsis Prediction with Multimodal Health Data. IBICA (1) 2023: 304-310 - [c3]G. Hemanth Kumar Yadav, Radhika Gundluru, N. Bala Krishna, Naresh Tangudu, Mohammad Gouse Galety, A. Ayisha Begam:
Efficient High Utility Mining Algorithm for Big Data Applications. IBICA (3) 2023: 327-335 - [c2]Jonnadula Narasimharao, P. Megana Santhoshi, Pabbati Swathi, Ganesh Davanam, Naresh Tangudu, P. Dileep Kumar Reddy:
Hybrid Deep Learning Algorithm to Predict Leaf Diseases for Botanical Sentinals. IBICA (2) 2023: 415-423 - [c1]Nagendar Yamsani, A. B. Archana, Suresh Babu Jugunta, E. Sreedevi, Naresh Tangudu, S. Ambika:
Emergency Communication Networks - Applications and Challenges. IBICA (3) 2023: 452-460
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