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Dr. Suresh Kumar Pemmada
Dr. Suresh Kumar Pemmada
Alte numePS Kumar, P Suresh Kumar, SK Pemmada
GITAM (Deemed to be University)
Adresă de e-mail confirmată pe gitam.edu - Pagina de pornire
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Advancement from neural networks to deep learning in software effort estimation: Perspective of two decades
PS Kumar, HS Behera, A Kumari, J Nayak, B Naik
Computer Science Review 38, 100288, 2020
892020
CatBoost ensemble approach for diabetes risk prediction at early stages
PS Kumar, A Kumari, S Mohapatra, B Naik, J Nayak, M Mishra
2021 1st Odisha International Conference on Electrical Power Engineering …, 2021
412021
Bootstrap aggregation ensemble learning-based reliable approach for software defect prediction by using characterized code feature
P Suresh Kumar, HS Behera, J Nayak, B Naik
Innovations in Systems and Software Engineering 17 (4), 355-379, 2021
332021
A pragmatic ensemble learning approach for effective software effort estimation
P Suresh Kumar, HS Behera, J Nayak, B Naik
Innovations in Systems and Software Engineering 18 (2), 283-299, 2022
292022
Estimating software effort using neural network: An experimental investigation
P Suresh Kumar, HS Behera
Computational Intelligence in Pattern Recognition: Proceedings of CIPR 2020 …, 2020
282020
Multiplicative Holts Winter model for trend analysis and forecasting of COVID-19 spread in India
H Swapnarekha, HS Behera, J Nayak, B Naik, PS Kumar
SN computer science 2 (5), 416, 2021
202021
Role of soft computing techniques in software effort estimation: an analytical study
P Suresh Kumar, HS Behera
Computational Intelligence in Pattern Recognition: Proceedings of CIPR 2019 …, 2020
152020
QCM sensor-based alcohol classification by Advance Machine Learning Approach
BK Rao, PS Kumar, DKK Reddy, J Nayak, B Naik
Intelligent Computing in Control and Communication: Proceeding of the First …, 2021
82021
A Fog-Based Intelligent Secured IoMT Framework for Early Diabetes Prediction
DKK Reddy, HS Behera, J Nayak, AR Routray, PS Kumar, U Ghosh
Intelligent Internet of Things for Healthcare and Industry, 199, 2022
72022
Correlation-based modified long short-term memory network approach for software defect prediction
SK Pemmada, HS Behera, J Nayak, B Naik
Evolving Systems 13 (6), 869-887, 2022
52022
Machine learning and big data in cyber‐physical system: methods, applications and challenges
J Nayak, PS Kumar, DKK Reddy, B Naik, D Pelusi
Cognitive engineering for next generation computing: a practical analytical …, 2021
42021
Identification of Heart Failure in Early Stages Using SMOTE-Integrated AdaBoost Framework
B Kameswara Rao, UD Prasan, J Rao, R Pedada, PS Kumar
Computational Intelligence in Data Mining, 537-552, 2022
32022
Model-based Software Defect Prediction from Software Quality Characterized Code Features by using Stacking Ensemble Learning
SK Pemmada, HS Behera, J Nayak
Journal of Engineering Science and Technology Review 15 (2), 137-155, 2022
32022
Identification and classification of hepatitis C virus: an advance machine-learning-based approach
J Nayak, PS Kumar, DKK Reddy, B Naik
Blockchain and Machine Learning for E-Healthcare Systems, 393, 2021
32021
A deep intelligent framework for software risk prediction using improved firefly optimization
SK Pemmada, J Nayak, B Naik
Neural Computing and Applications 35 (26), 19523-19539, 2023
12023
Early Detection of Chronic Obstructive Pulmonary Disease Using LSTM-Firefly Based Deep Learning Model
PS Kumar, PB Dash, BK Rao, S Vimal, K Muhammad
Nature-Inspired Optimization Methodologies in Biomedical and Healthcare, 247-267, 2023
12023
K-Medoids Computation Model Framework for Security in Distributed Architecture Networks
L Ariyapalli, RK Ganiya, PS Kumar
International Journal of Computer Applications 131 (14), 1-3, 2015
12015
SMOTE Integrated Adaptive Boosting Framework for Network Intrusion Detection
SK Pemmada, KS Naidu, DKK Reddy
Machine Learning for Cyber Physical System: Advances and Challenges, 1-25, 2024
2024
Prediction of Absenteeism at the Workplace: A Light Gradient Boosting Approach
SK Pemmada, J Nayak
International Conference on Computational Intelligence in Pattern …, 2023
2023
An Ensemble Bootstrap Aggregation for Just-in-Time Defect Prediction on a Code Change Level
SK Pemmada, J Nayak, HS Behera, S Mohapatra
2022 2nd Odisha International Conference on Electrical Power Engineering …, 2023
2023
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