LINGA REDDY CENKERAMADDI

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Universitetet i Agder - Campus Grimstad

Norway

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LINGA REDDY CENKERAMADDI is a Professor at Universitetet i Agder - Campus Grimstad, Norway. He specializes in research areas including mobile handset identification, wireless technology identification, and fault detection in wireless sensor networks. His recent publications focus on deep learning applications in telecommunications, federated learning, and energy-efficient healthcare monitoring devices.

LINGA REDDY CENKERAMADDI

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Articles (30)

GSM-Based Mobile Handset Identification Using RF Fingerprints and Deep Learning on the Edge Computing Devices

Wireless Technology Identification Using Continuous Wavelet Transform and Deep Learning

Distributed fault detection in sparse wireless sensor networks utilizing simultaneous likelihood ratio statistics

Multivariate Fuzzy Density-Based Temporospatial Clustering of Applications With Noise (MF-DBTSCAN) Algorithm for Detection and Tracking of Multiple Targets by 77-GHz Millimeter Wave Radar Sensor

Minimal data poisoning attack in federated learning for medical image classification: An attacker perspective

Federated Learning Minimal Model Replacement Attack Using Optimal Transport: An Attacker Perspective

Incentivized Federated Learning: A Survey

Leveraging Mixture Alignment for Multi-Source Domain Adaptation

Leveraging Mixture Alignment for Multi-Source Domain Adaptation

Quality-Aware PPG-Based Blood Pressure Classification for Energy-Efficient Trustworthy BP Monitoring Devices With Reduced False Alarms

Thermal video-based hand gestures recognition using lightweight CNN

Video based hand gesture recognition dataset using thermal camera

The Impact of Adversarial Attacks on Federated Learning: A Survey

A new machine learning approach for estimating shear wave velocity profile using borelog data

A Novel Convex Combination-Based Mixed Centrality Measure for Identification of Influential Nodes in Complex Networks

A Novel Convex Combination-based Mixed Centrality Measure for Identification of Influential Nodes in Complex Networks

A Survey on Waveform Design for Radar-Communication Convergence

A Systematic Kidney Tumour Segmentation and Classification Framework Using Adaptive and Attentive-Based Deep Learning Networks With Improved Crayfish Optimization Algorithm

Breathing Rate Classification Using Piezoresistive Sensor Utilizing Continuous Wavelet Transform and Lightweight CNN

Communication-Aided Target State Estimation in a Cooperative Radar-Communication System

Q-learning-based unmanned aerial vehicle path planning with dynamic obstacle avoidance

Time frequency domain deep CNN for automatic background classification in speech signals

Carry Object Detection Utilizing mmWave Radar Sensors and Ensemble-Based Extra Tree Classifiers on the Edge Computing Systems

Deep Learning for Medical Image Cryptography: A Comprehensive Review

Time-frequency Analysis and Fault Prediction of Motor Bearings using Millimeter Wave Radar

Time–Frequency Analysis and Fault Prediction of Motor Bearings Using Millimeter-Wave Radar

Estimation of number of unmanned aerial vehicles in a scene utilizing acoustic signatures and machine learning

Energy and Throughput Management in Delay-Constrained Small-World UAV-IoT Network

Generalized multi-cavity laser self-mixinginterferometry based on scattering theory

Multitarget Detection and Tracking by Mitigating Spot Jammer Attack in 77-GHz mm-Wave Radars: An Experimental Evaluation

Collaborators (2)

Khang huynh

Ajit Jha

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