Dr. Dwi Ratna Sulistyaningrum, MT

Need Help?

Please contact us here:

Dr. Dwi Ratna Sulistyaningrum, MT

Email dwratna@gmail.com
Ruang 402 A – LAB Komputasi, Gedung U Lantai 4
Professional membership INDOMS
Profil Scholar Scopus Sinta

Research interest

  • Digital image processing
  • Video Processing

Education

  • Doctoral Degree, Digital Image Processing, Institut Teknologi Sepuluh Nopember Surabaya, Indonesia.
  • Master of Science, in Mathematics, Institut Teknologi Bandung, Bandung, Indonesia.
  • Bachelor Degree, in Mathematics, Institut Teknologi Bandung, Bandung, Indonesia.

Publications (Recent Journals and Conferences)

  1. Classification of Damaged Road Types Using Multiclass Support Vector Machine (SVM), Journal of Physics: Conference Series 1821 (1), 012048, 2021
  2. Number plate recognition on vehicle using YOLO-Darknet, Journal of Physics: Conference Series 1821 (1), 012048, 2021
  3. Estimation of Vehicle Speed at Night Based on Rear Lights, Journal of Physics: Conference Series 1821 (1), 012048, 2021
  4. Detection and counting potholes using morphological method from road video, AIP Conference Proceedings 2242 (1), 030011, 2020
  5. Vehicle detection using histogram of oriented gradients and real adaboost, Journal of Physics: Conference Series 1490 (1), 012001, 2020
  6. Rice disease classification based on leaf image using multilevel Support Vector Machine (SVM), Journal of Physics: Conference Series 1490 (1), 012053, 2020
  7. The Rain Noise Reduction using Guided Filter to Improve performance of Vehicle Counting, International Journal of Innovative Computing, Information and Control, 2020
  8. Pavement Distress Classification Using Deep Learning Method Based on Digital Image, 2nd International Symposium on Transportation Studies in Developing Countries (ISTSDC 2019)
  9. The application of statistic image analysis for classification of breast cancer based on mammograms, Journal of Physics: Conference Series 1218 (1), 012040, 2019
  10. Application of Daubechies Wavelet Transformation for Noise Rain Reduction on the Video, IJCSAM (International Journal of Computing Science and Applied Mathematics), 2019
  11. Road Defect Classification Using Gray Level Co-Occurrence Matrix (GLCM) and Radial Basis Function (RBF), 2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE)
  12. Moving vehicle classification using pixel quantity based on gaussian mixture models, 2018 3rd International Conference on Computer and Communication Systems (ICCCS)
  13. Improvement of sub region matching illumination transfer in hybrid shadow removal method for moving vehicle video, International Journal of Engineering & Technology 7 (4), 2515-2520, 2018

 Research and Development Project

  1. VEHICLE DETECTION USING HISTOGRAM OF ORIENTED GRADIENTS AND REAL ADABOOST ALGORITHM BASED ON DIGITAL IMAGES, Departement Research Fund, 2019
  2. DEVELOPMENT OF ROBUST SYSTEM AGAINST NOISE IN MOBILE VEHICLE TRACKING AND COUNTING BASED ON VIDEO PROCESSING AS SUPPORTING INTELLIGENT TRANSPORTATION MANAGEMENT, College Leading Applied Research, 2020
  3. DEVELOPMENT OF ROBUST SYSTEM AGAINST NOISE IN MOBILE VEHICLE TRACKING AND COUNTING BASED ON VIDEO PROCESSING AS SUPPORTING INTELLIGENT TRANSPORTATION MANAGEMENT, College Leading Applied Research, 2019
  4. AUTOMATIC ROAD DAMAGE INSPECTION SYSTEM BASED ON DIGITAL IMAGE FOR ROAD CONDITION ASSESSMENT, College Leading Applied Research, 2020
  5. AUTOMATIC ROAD DAMAGE INSPECTION SYSTEM BASED ON DIGITAL IMAGE FOR ROAD CONDITION ASSESSMENT, College Leading Applied Research, 2019
  6. Integration of Correlation and Kalman Filter Methods for Tracking Moving Vehicles with Occlusion Handling in Transportation Videos, Master’s Thesis Research, 2020
  7. Application of Machine Learning for Classification of Types of Road Damage on Video Data to Support Road Condition Inspections, Master’s Thesis Research, 2020
  8. Rain Noise Reduction Using Chromatic Filter to Improve Vehicle License Plate Detection Accuracy, Master’s Thesis Research, 2020.
Post Views: 653
Open chat
1
Scan the code
Hello 👋
Ada yang bisa kami bantu ?