5 citations · 11 across the 5 of their papers we have counts for
5 papers
Unified Kernel-Segregated Transpose Convolution Operation
Vijay Srinivas Tida, Md Imran Hossen, Liqun Shan +3
The optimization of the transpose convolution layer for deep learning applications is achieved with the kernel segregation mechanism. However, kernel segregation has disadvantages,…
Kernel-Segregated Transpose Convolution Operation
Vijay Srinivas Tida, Sai Venkatesh Chilukoti, Xiali Hei +1
Transpose convolution has shown prominence in many deep learning applications. However, transpose convolution layers are computationally intensive due to the increased feature map…
Privacy-Preserving Deep Learning Model for Covid-19 Disease Detection
Vijay Srinivas Tida Sai Venkatesh Chilukoti, Sonya Hsu, Xiali Hei
Recent studies demonstrated that X-ray radiography showed higher accuracy than Polymerase Chain Reaction (PCR) testing for COVID-19 detection. Therefore, applying deep learning mod…
Universal Spam Detection using Transfer Learning of BERT Model
Vijay Srinivas Tida, Sonya Hsu
Deep learning transformer models become important by training on text data based on self-attention mechanisms. This manuscript demonstrated a novel universal spam detection model u…
A Unified Training Process for Fake News Detection based on Fine-Tuned BERT Model
Vijay Srinivas Tida, Sonya Hsu, Xiali Hei
An efficient fake news detector becomes essential as the accessibility of social media platforms increases rapidly.