25 citations · 33 across the 5 of their papers we have counts for
7 papers
Two-stage Deep Stacked Autoencoder with Shallow Learning for Network Intrusion Detection System
Nasreen Fathima, Akshara Pramod, Yash Srivastava +3
Sparse events, such as malign attacks in real-time network traffic, have caused big organisations an immense hike in revenue loss. This is due to the excessive growth of the networ…
Water Care: Water Surface Cleaning Bot and Water Body Surveillance System
Harsh Sankar Naicker, Yash Srivastava, Akshara Pramod +4
Whenever a person hears about pollution, more often than not, the first thought that comes to their mind is air pollution. One of the most under-mentioned and under-discussed pollu…
Autonomous bot with ML-based reactive navigation for indoor environment
Yash Srivastava, Saumya Singh, S. P. Syed Ibrahim
Local or reactive navigation is essential for autonomous mobile robots which operate in an indoor environment. Techniques such as SLAM, computer vision require significant computat…
PSNet: Parametric Sigmoid Norm Based CNN for Face Recognition
Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey
The Convolutional Neural Networks (CNN) have become very popular recently due to its outstanding performance in various computer vision applications. It is also used over widely st…
Visual Question Answering using Deep Learning: A Survey and Performance Analysis
Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey +1
The Visual Question Answering (VQA) task combines challenges for processing data with both Visual and Linguistic processing, to answer basic `common sense' questions about given im…
Hard-Mining Loss based Convolutional Neural Network for Face Recognition
Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey
Face Recognition is one of the prominent problems in the computer vision domain. Witnessing advances in deep learning, significant work has been observed in face recognition, which…
A Performance Comparison of Loss Functions for Deep Face Recognition
Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey
Face recognition is one of the most widely publicized feature in the devices today and hence represents an important problem that should be studied with the utmost priority. As per…