K. Reddy Madhavi

According to our database, K. Reddy Madhavi authored at least 31 papers between 2012 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

AMFFR-Net: Adaptive Multi-scale Feature Fusion and Graph Attention Networks for Breast Cancer Classification in Mammography Images.

Kudithikunta Anusha, K. Reddy Madhavi

Int. J. Comput. Intell. Syst., December, 2026

2025

Internet of medical things-based ECG monitoring for arrhythmia classification utilizing metaheuristic optimization with ensemble deep learning model.

K. Ghamya, K. Reddy Madhavi

Clust. Comput., October, 2025

Development of Heuristic Strategy With Hybrid Encryption for Energy Efficient and Secure Data Storage Scheme in Blockchain-Based Mobile Edge Computing.

Khaled M. Matrouk, Punithavathi Rasappan, Priyanka Bhutani, Shikha Mittal, A. Sahaya Anselin Nisha, Reddy Madhavi Konduru

Trans. Emerg. Telecommun. Technol., February, 2025

2024

Taylor African vulture optimization algorithm with hybrid deep convolution neural network for image captioning system.

Chengamma Chitteti, K. Reddy Madhavi

Multim. Tools Appl., July, 2024

2023

Deep Transformer-Based Model for Sepsis Prediction with Multimodal Health Data.

G. Vasavi, V. Sandeep Kumar Reddy, A. Basi Reddy, J. Avanija, K. Reddy Madhavi, Naresh Tangudu

Proceedings of the Bio-Inspired Computing, 2023

Solid Waste Classification Using Transformer Model.

K. Ayyappa Swamy, G. Madhavi, K. Reddy Madhavi, Naresh Tangudu, C. V. Krishnaveni, S. Hemachandra

Proceedings of the Bio-Inspired Computing, 2023

Efficient Diagnosis of Skin Cancer Utilizing Swin Transformers Through Dermatoscopic Image Analysis.

Vootla Srisuma, Sreekanth Yalavarthi, Rambabu Inaganti, K. Reddy Madhavi, Pantham Vishnu, Matta Venkata Pullarao

Proceedings of the Bio-Inspired Computing, 2023

A Machine Learning Approach To Predict Autism Spectrum Disorder.

U. Sivaji, B. Rupa Devi, A. Suresh, M. Reddi Durgasree, K. Reddy Madhavi, Janagaraj Avanija

Proceedings of the Bio-Inspired Computing, 2023

Unmasking Sarcasm: Exploring Machine Learning Approaches for Sarcasm Detection and Comparative Evaluation.

Abbaraju Sai Sathwik, B. Narendra Kumar Rao, Bheri Saiteja, A. Koteswara Rao, K. Reddy Madhavi, S. Bhaskar Nikhil

Proceedings of the Bio-Inspired Computing, 2023

An Effective and Deep Neural Network for Brain Tumor Segmentation and Detection.

S. Saravanakumar, M. Senbagavalli, Saswati Debnath, Ramesh Sekaran, Manikandan Parasuraman, Suresh Kallam, K. Reddy Madhavi

Proceedings of the Bio-Inspired Computing, 2023

Robust Predictive Analysis of COPD with AI Models.

D. T. V. Dharmajee Rao, A. Basi Reddy, Janagaraj Avanija, K. Reddy Madhavi, Swaraja Kuraparthi, Sivaram Rajeyyagari

Proceedings of the Bio-Inspired Computing, 2023

Real Time Face Mask Detector.

Ch. Rajyalakshmi, Gampa Sri Varsha, Galipalli Vinay Teja, Dasi Bhargavi, K. Reddy Madhavi, Mohammad Gouse Galety

Proceedings of the Bio-Inspired Computing, 2023

Clustered Wireless Sensor Networks with Blockchain-Enabled Multi-hop Data Transmission.

Konduru Venkateswara Raju, P. Jayasri, Ranjith Kumar Painam, K. Reddy Madhavi, S. Hemachandra, Shivaprasad Kaleru

Proceedings of the Bio-Inspired Computing, 2023

Identification and Correction of Image Similarity using autoencoder.

Karthik Kovuri, Nampally Vijay Kumar, Awatef Salem Balobaid, A. V. Sriharsha, Bura Vijay Kumar, K. Reddy Madhavi, A. Reni

Proceedings of the Bio-Inspired Computing, 2023

Multi-scale Lung Nodule Detection with U-Net and Dilated Convolution Networks in Thoracic CT Scans.

K. S. Kannan, P. Megana Santhoshi, A. Basi Reddy, Janagaraj Avanija, K. Reddy Madhavi, Mohammad Gouse Galety, Pranitha Kondra

Proceedings of the Bio-Inspired Computing, 2023

A Dynamic Effective Class Balanced Approach for Semantic Segmentation of Imbalanced Medical Image Data.

Sreedevi Chikkudu, Konkala Divya, A. Jyothi Babu, Ranjith Kumar Painam, K. Reddy Madhavi, V. Mahalakshmi

Proceedings of the Bio-Inspired Computing, 2023

Fake Profile Detection of Social Media Using Deep Learning and Ensemble Machine Learning.

U. Sivaji, B. Rupa Devi, L. N. C. Prakash K, K. Reddy Madhavi, M. Reddi Durgasree, Shaik Mohammad Rafee

Proceedings of the Hybrid Intelligent Systems, 2023

Interoperability Challenges in the Metaverse: The Need for Unified Platforms.

Potteli Sohan Sai, K. Reddy Madhavi, Kaveri Sreedevi, K. S. Vijay Kumar, Ashok Patel, Janagaraj Avanija

Proceedings of the Hybrid Intelligent Systems, 2023

Enhancing Intent Classification in Airline Travel Information Systems Using NLP Models.

A. Koteswara Rao, R. Subba Rao, Abbaraju Sai Sathwik, Naseeba Beebi, Nagendra Panini Challa, K. Reddy Madhavi

Proceedings of the Hybrid Intelligent Systems, 2023

Flower Segmentation and Classification Using U-Net + ResNeXt Deep Model.

K. Reddy Madhavi, P. Sunitha, Naresh Tangudu, Vemuri Sailaja, Madhavi Gudavalli, K. Mahesh Kumar

Proceedings of the Hybrid Intelligent Systems, 2023

Vehicle Type Detection Using Faster R-CNN.

P. Leela, P. Megana Santhoshi, K. Ayyappa Swamy, K. Reddy Madhavi, Naresh Tangudu, K. Mahesh Kumar

Proceedings of the Hybrid Intelligent Systems, 2023

5G and IOT Integration: Assessing the Technological and Security Impacts.

Namburi Manoj Kumar, Appana Kishan Prasad, Padari. Kumara Swamy, P. Devi Sree, P. Aswini, K. Reddy Madhavi

Proceedings of the Hybrid Intelligent Systems, 2023

Advancements in Breast Cancer Detection: A Wide-Ranging Analysis of ML and DL Approaches.

Kudithikunta Anusha, K. Reddy Madhavi

Proceedings of the Hybrid Intelligent Systems, 2023

Ensemble Model for Lidar Data Analysis and Nocturnal Boundary Layer Height Estimation.

Gurram Sunitha, K. Reddy Madhavi, Janagaraj Avanija, K. Srujan Raju, Adepu Kirankumar, Avala Raji Reddy

Proceedings of the Intelligent Data Engineering and Analytics, 2023

Detection of Malicious URLs Using Gradient Boosting Classifier.

Saba Sultana, K. Reddy Madhavi, G. Lavanya, J. Swarna Latha, Sandhyarani, Balijapalli Prathyusha

Proceedings of the Evolution in Computational Intelligence, 2023

2022

Sentiment Analysis from TWITTER Using NLTK.

Nagendra Panini Challa, K. Reddy Madhavi, Naseeba Beebi, B. Balaji Bhanu, Chandragiri Naresh

Proceedings of the Hybrid Intelligent Systems, 2022

2021

Brain Tumor Classification of MRI Images Using Deep Convolutional Neural Network.

Swaraja Kuraparthi, Madhavi K. Reddy, C. N. Sujatha, Hima Bindu Valiveti, Lakshmi Chaitanya Duggineni, Meenakshi Kollati, Padmavathi Kora, V. Sravan

Traitement du Signal, 2021

A deep neural network learning-based speckle noise removal technique for enhancing the quality of synthetic-aperture radar images.

Mohan Ellappan, Arunachalam Rajesh, Gurram Sunitha, Reddy Madhavi Konduru, Janagaraj Avanija, Loganathan Ganesh Babu

Concurr. Comput. Pract. Exp., 2021

2020

COVID-19 Detection Using Deep Learning.

K. Reddy Madhavi, G. Madhavi, C. V. Krishnaveni, Padmavathi Kora

Proceedings of the Hybrid Intelligent Systems, 2020

2012

Identification of optimal cluster centroid of multi-variable functions for clustering concept-drift categorical data.

K. Reddy Madhavi, A. Vinaya Babu, A. Anand Rao, S. Viswanadha Raju

Proceedings of the 2012 International Conference on Advances in Computing, 2012

Graphical method to find optimal cluster centroid for two-variable linear functions of concept-drift categorical data.

K. Reddy Madhavi, A. Vinaya Babu, A. Anand Rao, S. Viswanadha Raju, C. N. Rau

Proceedings of the Second International Conference on Computational Science, 2012