Change Detection is a classic task of computer vision that receives a bi-temporal image pair
as input and separates the semantically changed and unchanged regions of it. The diffusion …

This paper explores the paradigm of AI-powered self-healing systems within the context of
fault-tolerant platform engineering. As systems become increasingly complex, the ability to …

The paper critically scopes the landscape of large language models with ChatGPT at the
epicenter within the artificial intelligence discipline. In the beginning, with the journey …

Abstract Machine learning and Reinforcement Learning (RL) have received a lot of
attentions in decision making problems. For individualized decision making, due to possible …

Abstract Autism Spectrum Disorders (ASD) represent a complex neurodevelopmental
condition with a multifactorial etiology, wherein genetic factors play a significant role. This …

This paper synthesizes current knowledge on the genetic architecture of ASD, highlighting
recent breakthroughs in identifying risk genes and their roles in shaping …