Dr. Suresh Kumar Pemmada

Employment

• GITAM University Assistant Professor
  2022 - Present
• Aditya Institute of Technology and Management Assistant Professor
  2021 - 2022
• Dr. Lankapalli Bullayya College of Engineering Assistant Professor
  2017 - 2021
• Sri Sivani College of Engineering Assistant Professor
  2012 - 2017

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (17)

• A Fog-Based Intelligent Secured IoMT Framework for Early Diabetes Prediction
  Internet of Things Based on Smart Objects: Technology, Middleware and Applications 2022 DOI: 10.1007/978-3-030-81473-1_10
  +Save
• Correlation-based modified long short-term memory network approach for software defect prediction
  Evolving Systems 2022 DOI: 10.1007/S12530-022-09423-7
  +Save
• Identification of Heart Failure in Early Stages Using SMOTE-Integrated AdaBoost Framework
  Computational Intelligence in Data Mining: Proceedings of ICCIDM. Smart Innovation, Systems and Technologies (281) 2022 DOI: 10.1007/978-981-16-9447-9_41
  +Save
• Model-based Software Defect Prediction from Software Quality Characterized Code Features by using Stacking Ensemble Learning
  Journal of Engineering Science and Technology Review 2022 DOI: 10.25103/JESTR.152.17
  +Save
• QCM Sensor-Based Alcohol Classification Using Ensembled Stacking Model
  Smart Innovation, Systems and Technologies 2022 DOI: 10.1007/978-981-16-9447-9_49
  +Save
• A pragmatic ensemble learning approach for effective software effort estimation
  Innovations in Systems and Software Engineering 2022 DOI: 10.1007/s11334-020-00379-y
  +Save
• Machine Learning and Big Data in Cyber‐Physical System: Methods, Applications and Challenges
  Cognitive Engineering for Next Generation Computing 2021 DOI: 10.1002/9781119711308.ch2
  +Save
• QCM Sensor-Based Alcohol Classification by Advance Machine Learning Approach
  Lecture Notes in Electrical Engineering 2021 DOI: 10.1007/978-981-15-8439-8_25
  +Save
• Identification and classification of hepatitis C virus: An advance machine-learning-based approac
  Blockchain and Machine Learning for e-Healthcare Systems 2021
  +Save
• CatBoost Ensemble Approach for Diabetes Risk Prediction at Early Stages
  2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) 2021 DOI: 10.1109/odicon50556.2021.9428943
  +Save