Recent advancements in computational drug design algorithms through machine learning and optimization
The goal of drug discovery is to uncover new molecules with specific chemical properties
that can be used to cure diseases. With the accessibility of machine learning techniques, the …
that can be used to cure diseases. With the accessibility of machine learning techniques, the …
A game-theoretic approach for rendering immersive experiences in the Metaverse
The metaverse is an upcoming computing paradigm aiming towards blending reality
seamlessly with the artificially generated 3D worlds of deep cyberspace. This giant …
seamlessly with the artificially generated 3D worlds of deep cyberspace. This giant …
Potential therapeutic agents on alzheimer's disease through molecular docking and molecular dynamics simulation study of plant‐based compounds
Globally Alzheimer's disease (AD) is a highly complex, heterogeneous, and multifactorial
neurological disease. AD is categorized clinically through a steady loss in memory and …
neurological disease. AD is categorized clinically through a steady loss in memory and …
Predicting the Future Appearances of Lost Children for Information Forensics with Adaptive Discriminator-Based FLM GAN
B Bhattacharjee, B Debnath, JC Das, S Kar… - Mathematics, 2023 - mdpi.com
This article proposes an adaptive discriminator-based GAN (generative adversarial network)
model architecture with different scaling and augmentation policies to investigate and …
model architecture with different scaling and augmentation policies to investigate and …