Academics > Departments

Computer Science & Engineering (CSE)

Mrs. N. Durga

Assistant Professor |

Teaching Experience: 5 yrs

SVCEW Emp ID: 572
AICTE Unique ID: 1-11318970803

  • Machine Learning
DegreeOrganization/InstitutionSpecializationYear of Passing
Ph.D.JNTUKMachine LearningPursuing
M.TechAUCST2015
B.TechJNTUKCSE2013

Journal Publications in National/International Conferences:

  • A Novel Deep Learning Framework with Global Attention Mechanism for Enhanced Heart Disease Detection and PredictionDurga N., Gayathri T., Ratna Kumari K.
    Lecture Notes in Networks and Systems 1343 LNNS,2025

  • Enhanced Lung Cancer Detection via Modified U-Net and Deep Learning Classifiers: A Hybrid Approach Utilizing NSCLC-Radiomics Data, Durga N., Gayathri T., Ratna Kumari K., …Sricharani P., Kavitha D.N.S.B.Lecture Notes in Networks and Systems 1343 LNNS,2025

  • A Hybrid Deep Learning Framework for HER2-Stained Breast Cancer Image Classification with Swin Transformer and YOLOv4, Durga N., Kumari K.R., Gayathri T., …Sekharam M.Y., Uppalapati P.J. Lecture Notes in Networks and Systems 1343 LNNS,2025

  • Prediction of Daily Cow’s Milk Yield Using IGHOA-Based Convolutional Neural Network in Smart Farming System, Durga N., Gayathri T., Ratna Kumari K. 2nd International Conference on Signal Processing Communication Power and Embedded Systems Scopes,2024

  • Clustering Based Hybrid Optimized Model for Effective Data Transmission, International Conference on Cognitive Computing and Cyber Physical Systems, Volume 537,January 2024, PP.338-351.
  • Segmentation and Classification of Lung Tumor Analysis using LU-Net with BBH Optimizer, 14th International Conference on Cloud Computing, Data Science & Engineering (Confluence),January 2024,PP.834-839.
  • Advanced NID-VGG16 with Orca Predation Optimization based 1DCNN-BiLSTM for Network Intrusion Detection, 14th International Conference on Cloud Computing, Data Science & Engineering (Confluence),January 2024,PP.840-845.
  • Data Analytics with Python
  • Cloud Computing
  • Introduction to Machine Learning
  • Attended Faculty Development Program (FDP) on Deep Learning and Artificial Intelligence organized by Andhra Pradesh State Skill Development Corporation (APSSDC) in Collaboration with ExcelR Edtech Pvt. Ltd.
    Date: 26th Feb to 1st March 2024.
  • Assistant Professor
  • Department NAAC Crireria-1 Coordinator

UG Level

  • Compiler design
  • C programming
  • Data structures
  • Julia programming
  • Advanced data bases
  • DBMS
  • Dataware house & Data mining

The recent publications and research contributions can be viewed from the following URLs:

Profile Link
ORCID 0009-0008-2844-3096
Scopus 58671106500