Despite the strong predictive performance of deep learning models for tr...
Electrolysis is crucial for eco-friendly hydrogen production, but gas bu...
For many AI systems, concept drift detection is crucial to ensure the sy...
In this paper, for the first time, we present a direct and new construct...
We present a new template for building oblivious transfer from quantum
i...
In this paper, we propose a direct construction of a novel type of code ...
The performance of deep neural networks for image recognition tasks such...
In modern NLP applications, word embeddings are a crucial backbone that ...
In the recent years, zero-correlation zone (ZCZ) sequences have been stu...
Normalizing flows are prominent deep generative models that provide trac...
Prediction tasks related to congestion are targeted at improving the lev...
We present CrypTFlow2, a cryptographic framework for secure inference ov...
The medical image fusion combines two or more modalities into a single v...
We present CrypTFlow, a first of its kind system that converts TensorFlo...
Multimodal medical image fusion helps in combining contrasting features ...
Today, many of the home automation systems deployed are mostly controlle...
Today, many of the aid systems deployed for visually impaired people are...