The Artificial Intelligence-Powered New Era in Pharmaceutical Research and Development: A Review
P Suriyaamporn, B Pamornpathomkul… - AAPS …, 2024 - Springer
Abstract Currently, artificial intelligence (AI), machine learning (ML), and deep learning (DL)
are gaining increased interest in many fields, particularly in pharmaceutical research and …
are gaining increased interest in many fields, particularly in pharmaceutical research and …
Prognostics and Health Management for Cyber-Physical System Resilience: A Security and Reliability Perspective
R Cassandro, G Wu, H Wang, ZS Li - … Engineering: In Honor of Prof. KB …, 2024 - Springer
This chapter explores the crucial role of Prognostics and Health Management (PHM) in
strengthening the resilience of Cyber-Physical Systems (CPSs), with a focus on reliability …
strengthening the resilience of Cyber-Physical Systems (CPSs), with a focus on reliability …
Cost-Benefit Evaluation of Digital Twin Implementation for Pharmaceutical Lyophilization Plant
The pharmaceutical industry continually seeks advancements to improve manufacturing
processes, ensuring product quality, regulatory compliance, and operational efficiency …
processes, ensuring product quality, regulatory compliance, and operational efficiency …
Designing a data-driven model for business continuity planning evaluation using robustness indicators
OB Amara - 2023 - theses.hal.science
The importance of business continuity planning (BCP) has been underscored by the
increase in risky events such as natural disasters and pandemics. Despite the critical nature …
increase in risky events such as natural disasters and pandemics. Despite the critical nature …