Thippa Reddy Gadekallu, SMIEEE
Thippa Reddy Gadekallu, SMIEEE
Associate Professor, Vellore Institute of Technology & Chief Engineer, Zhongda Group, Jiaxing, China
Verified email at - Homepage
Cited by
Cited by
Industry 5.0: A survey on enabling technologies and potential applications
PKR Maddikunta, QV Pham, B Prabadevi, N Deepa, K Dev, TR Gadekallu, ...
Journal of Industrial Information Integration 26, 100257, 2022
Analysis of dimensionality reduction techniques on big data
GT Reddy, MPK Reddy, K Lakshmanna, R Kaluri, DS Rajput, ...
Ieee Access 8, 54776-54788, 2020
A survey on blockchain for big data: Approaches, opportunities, and future directions
N Deepa, QV Pham, DC Nguyen, S Bhattacharya, B Prabadevi, ...
Future Generation Computer Systems 131, 209-226, 2022
Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey
S Bhattacharya, PKR Maddikunta, QV Pham, TR Gadekallu, ...
Sustainable cities and society 65, 102589, 2021
Unmanned aerial vehicles in smart agriculture: Applications, requirements, and challenges
PKR Maddikunta, S Hakak, M Alazab, S Bhattacharya, TR Gadekallu, ...
IEEE Sensors Journal 21 (16), 17608-17619, 2021
Blockchain for the metaverse: A Review
T Huynh-The, TR Gadekallu, W Wang, G Yenduri, P Ranaweera, ...
Future Generation Computer Systems, 2023
Hybrid genetic algorithm and a fuzzy logic classifier for heart disease diagnosis
GT Reddy, MPK Reddy, K Lakshmanna, DS Rajput, R Kaluri, ...
Evolutionary Intelligence 13, 185-196, 2020
An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture
SP RM, PKR Maddikunta, M Parimala, S Koppu, TR Gadekallu, ...
Computer Communications 160, 139-149, 2020
A novel PCA-firefly based XGBoost classification model for intrusion detection in networks using GPU
S Bhattacharya, PKR Maddikunta, R Kaluri, S Singh, TR Gadekallu, ...
Electronics 9 (2), 219, 2020
An ensemble machine learning approach through effective feature extraction to classify fake news
S Hakak, M Alazab, S Khan, TR Gadekallu, PKR Maddikunta, WZ Khan
Future Generation Computer Systems 117, 47-58, 2021
Applications of wireless sensor networks and internet of things frameworks in the industry revolution 4.0: A systematic literature review
M Majid, S Habib, AR Javed, M Rizwan, G Srivastava, TR Gadekallu, ...
Sensors 22 (6), 2087, 2022
Early detection of diabetic retinopathy using PCA-firefly based deep learning model
TR Gadekallu, N Khare, S Bhattacharya, S Singh, PKR Maddikunta, IH Ra, ...
Electronics 9 (2), 274, 2020
A novel PCA–whale optimization-based deep neural network model for classification of tomato plant diseases using GPU
TR Gadekallu, DS Rajput, MPK Reddy, K Lakshmanna, S Bhattacharya, ...
Journal of Real-Time Image Processing 18, 1383-1396, 2021
A metaheuristic optimization approach for energy efficiency in the IoT networks
C Iwendi, PKR Maddikunta, TR Gadekallu, K Lakshmanna, AK Bashir, ...
Software: Practice and Experience 51 (12), 2558-2571, 2021
Deep neural networks to predict diabetic retinopathy
TR Gadekallu, N Khare, S Bhattacharya, S Singh, PKR Maddikunta, ...
Journal of Ambient Intelligence and Humanized Computing, 1-14, 2020
PPSF: A privacy-preserving and secure framework using blockchain-based machine-learning for IoT-driven smart cities
P Kumar, R Kumar, G Srivastava, GP Gupta, R Tripathi, TR Gadekallu, ...
IEEE Transactions on Network Science and Engineering 8 (3), 2326-2341, 2021
Blockchain-based reliable and efficient certificateless signature for IIoT devices
W Wang, H Xu, M Alazab, TR Gadekallu, Z Han, C Su
IEEE transactions on industrial informatics 18 (10), 7059-7067, 2021
CANintelliIDS: Detecting in-vehicle intrusion attacks on a controller area network using CNN and attention-based GRU
AR Javed, S Ur Rehman, MU Khan, M Alazab, T Reddy
IEEE transactions on network science and engineering 8 (2), 1456-1466, 2021
A multidirectional LSTM model for predicting the stability of a smart grid
M Alazab, S Khan, SSR Krishnan, QV Pham, MPK Reddy, TR Gadekallu
IEEE Access 8, 85454-85463, 2020
Federated learning for cybersecurity: Concepts, challenges, and future directions
M Alazab, SP RM, M Parimala, PKR Maddikunta, TR Gadekallu, QV Pham
IEEE Transactions on Industrial Informatics 18 (5), 3501-3509, 2021
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