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SigScatNet: A Siamese + Scattering based Deep Learning Approach for Signature Forgery Detection and Similarity Assessment
This groundbreaking research paper introduces SigScatNet, an innovative solution to combat this issue by harnessing the potential of a Siamese deep learning network, bolstered by Scattering wavelets, to detect signature forgery and assess signature similarity.
Resume Evaluation through Latent Dirichlet Allocation and Natural Language Processing for Effective Candidate Selection
In this paper, we propose a method for resume rating using Latent Dirichlet Allocation (LDA) and entity detection with SpaCy.
A Comparative Study of Machine Learning and Deep Learning Techniques for Prediction of Co2 Emission in Cars
The most recent concern of all people on Earth is the increase in the concentration of greenhouse gas in the atmosphere.
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