
Mrs. Vidya V V
Assistant Professor
, Dept. of Computer Science & EngineeringDepartment of Computer Science & Engineering
- [email protected]
- Teaching Experience
- 8 years years
- Industry Experience
- 0.0 years
- Research Experience
- 3.2 years years
Educational Qualifications
| COURSES | SPECIALIZATION | INSTITUTION | UNIVERSITY |
|---|---|---|---|
| BE | Computer Science & Engineering | Government College of Engineering, Kannur | kannur University |
| M Tech | Computer Science & Engineering | Canara Engineering College, Bantwal | VTU, Belagavi |
| (Ph.D) | - | Sahyadri College of Engineering and Management Mangaluru | VTU, Belagavi |
Past Experience
No previous teaching experience available.
Departmental Responsibilities
No departmental responsibilities listed.
Professional Body Membership
- IAENG- International Association of Engineers
Subject Teaching / Handled
No subject teaching / handled details available.
Research
Areas of Interest
No areas of interest listed.
Ph.D. Supervision
No research supervision details available.
Awards / Grants
No awards or grants details available.
Funded Projects
No funded projects available.
Publications
Journal
- 1)The research paper titled " CrackNet-VOS: An Intelligent Vision-Based Framework for Multi-Class Concrete Crack Classification by Type, Orientation, and Severity in Infrastructure Surfaces " is published in International Journal of Computer Information Systems and Industrial Management Applications (IJCISIM), a Scopus-indexed Quartile-3 journal
- 2)The research paper titled"A Comprehensive Review of Image-Based Concrete Crack Analysis Using Deep Learning " is published in Communications on Applied Nonlinear Analysis, Scopus Indexed Journal
- 3)The research paper titled"A Systematic Review on Leveraging Machine Learning and Deep Learning for Early Mental health Depression detection on Social Media Platforms ", is published in Scopus Indexed Journal
Conference
- 1)IOT—Based Patient Health Monitoring System for Remote Locations Using ML Algorithms DOI:10.1007/978-981-96-7473-2_40 - Conference paper published in Springer conference proceedings
- 2)Intelligent Syllabus Mapping and Performance Analysis System Using NLP and Neural Networks Published in IEEE Xplore
- 3)Smart IoT-ML Ecosystem for Dynamic Pest Surveillance in Food Storage Environments is Published in IEEE
Book / Book Chapter
No book details available.
Patents
No patent details available.
FDPs / Workshops
No FDP / workshop details available.
MOOC Certifications
No MOOC certificates available.
Other Details
No certification details available.