Search Results - "Shyamala Bharathi, P."

Advanced hybrid attention-based deep learning network with heuristic algorithm for adaptive CT and PET image fusion in lung cancer detection by Shyamala Bharathi, P., Shalini, C.

“…•Introduces a fusion of CT and PET images for comprehensive lung cancer detection.•Utilizes AD-CNN for image fusion, optimized by the MIV-CapSA…”
Get full text

Intelligent dynamic trust secure attacker detection routing for WSN-IoT networks by Kiruthika, B, P, Shyamala Bharathi

“…IoT networks require a variety of safety systems, because of evolving new technologies. They are subject to assaults and require a variety of security…”
Get full text

The Potential Role of PV Solar Power System to Improve the Integration of Electric Energy Storage System by Patnaik, Rajesh Kumar, Bharathi, P. Shyamala, Mathiyalagan, Sivaramkrishnan, Thumma, Rajesh, Saravanan, G., Alanazi, Mohana, Sivaraman, V., Elfasakhany, Ashraf, Belay, Assefa

“…Integration technique is becoming effective due to the world’s largest power requirement, which has imposed a considerable need for various techniques by which…”
Get full text

Optimizing V2V communication in ITS: The benefits of silver-coated DSRC by Bharathi, P. Shyamala, Harish, G.

“…The silver-coated DSRC of antennas are used for short-range communication between vehicles (V2V) in intelligent transportation systems (ITS), including DSRC…”
Get full text

Enhancing Optimization of Photovoltaic Devices Performance using Artificial Neural Network (ANN) Comparing with Thermoelectric Generators (TEGs) to Improve Power Efficiency by Ch, Mani Joshi, Bharathi, P. Shyamala

“…AIM: The objective of the study is to enhance optimization of photovoltaic devices performance using Artificial Neural network(ANN) compared with…”
Get full text

Uplink Multiuser Scheduling in Cognitive Radio Network using Group-based SVM Scheduling and Comparing with a Linear Classifier by Pamidakula, Bhuvanesh, Bharathi, P. Shyamala, Shibi, S. Rimlon

“…Aim: To study the uplink multiuser scheduling in cognitive radio networks using group-based SVM scheduling and compare it with a linear classifier utilizing…”
Get full text

Reinforcement Learning with URL Features in Twitter Network to Detect Malicious Social Bots using Random Forest in Comparison with Convolutional Neural Network to Improve Accuracy by M, Ram Kumar, Bharathi, P. Shyamala, Shibi, S. Rimlon

“…AIM: The objective of the project is to improve the efficiency of identifying dangerous social bots in the Twitter network by developing uniform resource…”
Get full text

The Defense Against Jamming Attack in Cognitive Radio Networks: Energy Efficiency Management Perspective by D, Bhuvana Suganthi, Jaichandran, R., Bharathi, P. Shyamala, Meenakshi, B., Anushya, A., Devi, V. Brindha

“…Cognitive Radio Networks (CRN) learning perspective and inherently reconfigurable capability generate a group of novel safety problems. Here, let's analyze the…”
Get full text

Interference-Aware Channel Allocation using Cournot Game Comparing with Potential Game Algorithm to Maximize the Transmission Data Rate of Secondary Users in Cognitive radio Network by Kumar, Krishna, Bharathi, P. Shyamala

“…The objective of the proposed study is to improve the transmission data rate during interference-aware channel allocation for secondary users by substituting…”
Get full text

Deep Learning Based Network Traffic Analysis Using Modified Hybrid Methodology Comparing with SVM to Improve Accuracy by Deeban, N., Bharathi, P. Shyamala

“…Users of networks are placing increased expectations on the speed and quality of the services provided by networks as a result of the fast advancement of…”
Get full text

A Robust and Efficient Traffic Analysis for 5G Network Based on Hybrid LSTM comparing with XGBoost to Improve Accuracy by Deeban, N., Bharathi, P. Shyamala

“…For the purpose of monitoring networks, internet traffic predictive analysis have become indispensable. The technique of recording network traffic and…”
Get full text

Artificial neural networks are used in a Dark Having to learn Biometric smart card in contrast to the Integrated Method by Shyamala Bharathi, P., Khiran Sai, G.

“…Deep Learning based face recognition attendance system using novel robust 4-layer Convolutional Neural Network architecture is proposed for the face…”
Get full text

Edge Detection of Images using Prewitt Algorithm Comparing with Sobel Algorithm to Improve Accuracy by Yadav, J. Suresh, Shyamala Bharathi, P.

“…The object of the study is to detect the edges in images using the prewitt and comparing with the sobel analysis method to improve accuracy. Materials and…”
Get full text

Spectrum Sensing Using Binary Hypothesis Test Comparing with Energy Detection Based Method to Improve the Probability of Detection by Reddy, P. Niranjan, Shyamala Bharathi, P.

“…Finding the most efficient channel in the cognitive radio network and raising the likelihood of detection are the main goals of this study. To do this, a…”
Get full text

Detection of Malicious Social Bots with reinforcement learning technique with URL Features in Twitter Network with KNN in comparison with RNN by M, Ram Kumar, Shyamala Bharathi, P.

“…Aim: The objective of the analysis is the Real time identification of spiteful Social Bots Utilize reinforcement learning technique with URL aspects in Twitter…”
Get full text

RETRACTED ARTICLE: Energy-efficient QoS-compliant routing for dedicated short-range communications in smart transportation based on V–V and V–I approach by Harish, G., Shyamala Bharathi, P.

Get full text

Neural Network based Earlier Stage Lung Cancer Prediction Scheme with Differential Learning Assistance by Bharathi, P Shyamala, T., Praveen Kumar Reddy

“…Cancer estimate and prediction are a difficult problem to examine and correct in the image processing arena. In comparison to tumor predictions, cancer initial…”
Get full text

Lung cancer detection using novel residual unity AlexNet-based optimized mish dropout-deep convolutional neural network by Reddy, Thappeta Praveen Kumar, Bharathi, P. Shyamala

Get full text

A Novel and Effective Ensemble Machine Learning Model for Identifying Healthy and Rotten Fruits by S, Arun Kumar, L, Hubert Mary, V., Shaamili Varsa G, M.S, Ulaganathan, Kannagi, L., Bharathi, P. Shyamala

“…The world's food supply is dwindling at an alarming rate because of inefficient measures used to cope with food waste at all levels of the food system, from…”
Get full text

Resource Allocation Based on Hybrid Water Filling Algorithm for Energy Efficiency Enhancement in Cognitive Radio Networks by Bharathi, P. Shyamala, Balasaraswathi, M., Jayekumar, M., Padmapriya, S.

“…In order to elevate the utility of licensed spectrum bands credit to coexistence within the same network of licensed or primary users and cognitive or…”
Get full text