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Dr. K.R SRI PREETHAA
Dr. K.R SRI PREETHAA
Post Doctoral Researcher, Intelligent Automation Construction lab, Kyungpook National University
在 vit.ac.in 的电子邮件经过验证
标题
引用次数
引用次数
年份
Diabetes prediction in healthcare systems using machine learning algorithms on Hadoop cluster
N Yuvaraj, KR SriPreethaa
Cluster Computing 22 (Suppl 1), 1-9, 2019
1722019
Surface crack detection using deep learning with shallow CNN architecture for enhanced computation
B Kim, N Yuvaraj, KR Sri Preethaa, R Arun Pandian
Neural Computing and Applications 33 (15), 9289-9305, 2021
1392021
Enhanced pedestrian detection using optimized deep convolution neural network for smart building surveillance
B Kim, N Yuvaraj, KR Sri Preethaa, R Santhosh, A Sabari
Soft Computing 24 (22), 17081-17092, 2020
542020
Investigation of steel frame damage based on computer vision and deep learning
DEL Bubryur Kim, N. Yuvaraj, Hee Won Park, K.R. Sri Preethaa, R. Arun Pandian
Automation in Construction 132 (103941), 2021
442021
A Hybrid Speech Enhancement Algorithm for Voice Assistance Application
SPKR Jenifa Gnanamanickam, Yuvaraj Natarajan
sensors 21 (7025), 2021
372021
Ensemble machine learning-based approach for predicting of FRP–concrete interfacial bonding
B Kim, DE Lee, G Hu, Y Natarajan, S Preethaa, AP Rathinakumar
Mathematics 10 (2), 231, 2022
332022
Predicting wind flow around buildings using deep learning
B Kim, DE Lee, KRS Preethaa, G Hu, Y Natarajan, KCS Kwok
Journal of Wind Engineering and Industrial Aerodynamics 219, 104820, 2021
322021
Intelligent video analysis for enhanced pedestrian detection by hybrid metaheuristic approach
KR Sri Preethaa, A Sabari
Soft Computing 24 (16), 12303-12311, 2020
242020
Wind-Induced Pressure Prediction on Tall Buildings Using Generative Adversarial Imputation Network
KR Kim, B, Yuvaraj, N, Sri Preethaa, G Hu, DE Lee
Sensors 21 (7), 2021
232021
Transfer learning based real-time crack detection using unmanned aerial system
N Yuvaraj, B Kim, KR Preethaa
International Journal of High-Rise Buildings 9 (4), 351-360, 2020
182020
Predictive analysis in agriculture to improve the crop productivity using zeroR algorithm
T Rajasekaran, P Jayasheelan, KR Sri Preethaa
International Journal of Computer Science and Engineering Communications 4 …, 2016
142016
EAD-DNN: Early Alzheimer’s disease prediction using deep neural networks
KRSP Preethi Thangavel , Yuvaraj Natarajan
Biomedical Signal Processing and Control 86 (105210), 2023
112023
CROP YIELD PREDICTION
KVS K.R. Sri Preethaa, S.Nishanthini, D.Santhiya
International Journal On Engineering Technology and Sciences – IJETS 3 (3), 111, 2016
10*2016
Novel ANOVA-Statistic-Reduced Deep Fully Connected Neural Network for the Damage Grade Prediction of Post-Earthquake Buildings
YNAAYA K. R. Sri Preethaa, Shyamala Devi Munisamy, Aruna Rajendran, Akila ...
Sensors 23 (6439), 2023
92023
Forecasting carbon dioxide emissions of light-duty vehicles with different machine learning algorithms
Y Natarajan, G Wadhwa, KR Sri Preethaa, A Paul
Electronics 12 (10), 2288, 2023
92023
Deep Learning Activation Layer-Based Wall Quality Recognition Using Conv2D ResNet Exponential Transfer Learning Model
GW Bubryur Kim,Yuvaraj Natarajan, Shyamala Devi Munisamy, Aruna Rajendran,K ...
Mathematics 10 (23), 2022
82022
A Comprehensive Review on Machine Learning Techniques for Forecasting Wind Flow Pattern
GWAAYA K. R. Sri Preethaa, Akila Muthuramalingam, Yuvaraj Natarajan
Sustainability 15 (17), 2023
72023
Sentiment Analysis on Drug Reviews Using Diverse Classification Techniques
KM Premkumar Duraisamy,Yuvaraj Natarajan, K.R.Sri Preethaa
2022 3rd International Conference on Communication, Computing and Industry 4 …, 2023
6*2023
Real-time assessment of surface cracks in concrete structures using integrated deep neural networks with autonomous unmanned aerial vehicle
B Kim, Y Natarajan, KRS Preethaa, S Song, J An, S Mohan
Engineering Applications of Artificial Intelligence 129, 107537, 2024
42024
A Stacked Generalization Model to Enhance Prediction of Earthquake-Induced Soil Liquefaction
Yuvaraj Natarajan, Arun Pandian Rathinakumar, Dong-Eun Lee, Young Choi ...
Sensors 22 (19), 2022
42022
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