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Found 7 papers, 1 papers with code
Secure Information Embedding in Images with Hybrid Firefly Algorithm
Various methods have been proposed to secure access to sensitive information over time, such as the many cryptographic methods in use to facilitate secure communications on the internet.
Quantum Generative Adversarial Networks: Bridging Classical and Quantum Realms
In this pioneering research paper, we present a groundbreaking exploration into the synergistic fusion of classical and quantum computing paradigms within the realm of Generative Adversarial Networks (GANs).
Accelerating Neural Network Training: A Brief Review
This study examines innovative approaches to expedite the training process of deep neural networks (DNN), with specific emphasis on three state-of-the-art models such as ResNet50, Vision Transformer (ViT), and EfficientNet.
RTRA: Rapid Training of Regularization-based Approaches in Continual Learning
In regularization-based approaches to mitigate CF, modifications to important training parameters are penalized in subsequent tasks using an appropriate loss function.
DSS: A Diverse Sample Selection Method to Preserve Knowledge in Class-Incremental Learning
Rehearsal-based techniques are commonly used to mitigate catastrophic forgetting (CF) in Incremental learning (IL).
PBES: PCA Based Exemplar Sampling Algorithm for Continual Learning
We propose a novel exemplar selection approach based on Principal Component Analysis (PCA) and median sampling, and a neural network training regime in the setting of class-incremental learning.
EmbAu: A Novel Technique to Embed Audio Data Using Shuffled Frog Leaping Algorithm
In our currently proposed image steganographic technique, we used the Shuffled Frog Leaping Algorithm (SFLA) to determine the order of pixels by which sensitive information can be placed in the cover image.
