3 citations · 4 across the 4 of their papers we have counts for
4 papers
SigScatNet: A Siamese + Scattering based Deep Learning Approach for Signature Forgery Detection and Similarity Assessment
Anmol Chokshi, Vansh Jain, Rajas Bhope +1
The surge in counterfeit signatures has inflicted widespread inconveniences and formidable challenges for both individuals and organizations. This groundbreaking research paper int…
L-WaveBlock: A Novel Feature Extractor Leveraging Wavelets for Generative Adversarial Networks
Mirat Shah, Vansh Jain, Anmol Chokshi +2
Generative Adversarial Networks (GANs) have risen to prominence in the field of deep learning, facilitating the generation of realistic data from random noise. The effectiveness of…
Advancing Diagnostic Precision: Leveraging Machine Learning Techniques for Accurate Detection of Covid-19, Pneumonia, and Tuberculosis in Chest X-Ray Images
Aditya Kulkarni, Guruprasad Parasnis, Harish Balasubramanian +3
Lung diseases such as COVID-19, tuberculosis (TB), and pneumonia continue to be serious global health concerns that affect millions of people worldwide. In medical practice, chest…
RoadScan: A Novel and Robust Transfer Learning Framework for Autonomous Pothole Detection in Roads
Guruprasad Parasnis, Anmol Chokshi, Vansh Jain +1
This research paper presents a novel approach to pothole detection using Deep Learning and Image Processing techniques. The proposed system leverages the VGG16 model for feature ex…