Follow
Dr. Ramalingaswamy Cheruku
Dr. Ramalingaswamy Cheruku
Assistant Professor (Gr-I), National Institute of Technology Warangal, Telangana, India
Verified email at nitw.ac.in - Homepage
Title
Cited by
Cited by
Year
Survey on brain-computer interface: An emerging computational intelligence paradigm
A Bablani, DR Edla, D Tripathi, R Cheruku
ACM computing surveys (CSUR) 52 (1), 1-32, 2019
802019
Rst-batminer: A fuzzy rule miner integrating rough set feature selection and bat optimization for detection of diabetes disease
R Cheruku, DR Edla, V Kuppili, R Dharavath
Applied Soft Computing 67, 764-780, 2018
732018
A novel hybrid credit scoring model based on ensemble feature selection and multilayer ensemble classification
D Tripathi, DR Edla, R Cheruku, V Kuppili
Computational Intelligence 35 (2), 371-394, 2019
722019
SM-RuleMiner: Spider Monkey Based Rule Miner using Novel Fitness Function for Diabetes Classification
VK Ramalingaswamy Cheruku, Damodar Reddy Edla
Computers in Biology and Medicine 81 (February), 79–92, 2017
722017
Hybrid credit scoring model using neighborhood rough set and multi-layer ensemble classification
D Tripathi, DR Edla, R Cheruku
Journal of Intelligent & Fuzzy Systems 34 (3), 1543-1549, 2018
692018
A PSO based routing with novel fitness function for improving lifetime of WSNs
DR Edla, MC Kongara, R Cheruku
Wireless Personal Communications 104 (1), 73-89, 2019
612019
An Efficient Load Balancing of Gateways using Improved Shuffled Frog Leaping Algorithm and Novel Fitness Function for WSNs
DR Edla, A Lipare, R Cheruku, V Kuppili
IEEE Sensors Journal, 2017
542017
Diabetes Classification using Radial Basis Function Network by Combining Cluster Validity Index and BAT Optimization with Novel Fitness Function
KV Cheruku Ramalingaswamy, Edla Damodar Reddy
International Journal of Computational Intelligence Systems 10 (1), 247–265, 2017
472017
An Efficient Multi-layer Ensemble Framework with BPSOGSA-Based Feature Selection for Credit Scoring Data Analysis
VK Damodar Reddy Edla, Diwakar Tripathi, Ramalingaswamy Cheruku
Arabian Journal for Science and Engineering, 2017
46*2017
SCE-PSO based clustering approach for load balancing of gateways in wireless sensor networks
RC Damodar Reddy Edla, Mahesh Chowdary Kongara
Wireless Networks, 2018
40*2018
SRAM cell with better read and write stability with Minimum area
BNK Reddy, K Sarangam, T Veeraiah, R Cheruku
TENCON 2019-2019 IEEE Region 10 Conference (TENCON), 2164-2167, 2019
352019
Diabetes-Finder: A Bat Optimized Classification System for Type-2 Diabetes
RC Damodar Reddy Edla
proceedia computer science 115, 235-242, 2017
29*2017
Shuffled Complex Evolution Approach for Load Balancing of Gateways in Wireless Sensor Networks
RC Damodar Reddy Edla, Amruta Lipare
Wireless Personal Communications 98 (4), 3455–3476, 2018
272018
Lie detection using extreme learning machine: A concealed information test based on short‐time Fourier transform and binary bat optimization using a novel fitness function
S Dodia, DR Edla, A Bablani, R Cheruku
Computational Intelligence 36 (2), 637-658, 2020
252020
Design of a fingerprint template protection scheme using elliptical structures
I Kavati, AM Reddy, ES Babu, KS Reddy, RS Cheruku
ICT Express 7 (4), 497-500, 2021
182021
Relative performance evaluation of ensemble classification with feature reduction in credit scoring datasets
D Tripathi, R Cheruku, A Bablani
Advances in Machine Learning and Data Science: Recent Achievements and …, 2018
172018
High blood pressure prediction based on AAA++ using machine-learning algorithms
RC Satyanarayana Nimmala, Ramadevi, Sahith R
Cogent Engineeting 5 (1), 2018
15*2018
GWO-GA based load balanced and energy efficient clustering approach for WSN
A Lipare, D Reddy Edla, R Cheruku, D Tripathi
Smart Trends in Computing and Communications: Proceedings of SmartCom 2019 …, 2020
142020
Sentiment classification with modified RoBERTa and recurrent neural networks
R Cheruku, K Hussain, I Kavati, AM Reddy, KS Reddy
Multimedia Tools and Applications 83 (10), 29399-29417, 2024
132024
PSO-RBFNN: a PSO-based clustering approach for RBFNN design to classify disease data
R Cheruku, DR Edla, V Kuppili, R Dharavath
Artificial Neural Networks and Machine Learning–ICANN 2017: 26th …, 2017
122017
The system can't perform the operation now. Try again later.
Articles 1–20