Deep Learning Approaches for Medical Image Analysis and Disease Diagnosis

V Shinde - International Journal of Multidisciplinary Innovation and …, 2023 - ijmirm.com
Propose: Today, there has been a major global advancement in medical image-based
diagnosis. A great deal of research is being done in this area, and the results are having a …

Future Trends: The Impact of AI and ML on Regulatory Compliance Training Programs

A Dave, L Paripati, VR Hajari… - Universal Research …, 2024 - urr.shodhsagar.com
In the rapidly evolving regulatory landscape, ensuring compliance through effective training
programs has become increasingly critical for organizations. This paper explores how …

Cloud-Based Regulatory Intelligence Dashboards: Empowering Decision-Makers with Actionable Insights

A Dave, L Paripati, N Narukulla… - Innovative Research …, 2024 - irt.shodhsagar.com
In today's dynamic regulatory landscape, staying abreast of evolving standards and
requirements is paramount for pharmaceutical companies to ensure compliance and drive …

[PDF][PDF] Data-Driven Cybersecurity: Leveraging Machine Learning for Anomaly Detection and Prevention

S Naguri, R Saoji, B Devaguptapu, A Agarwal, V Nakra… - espjournals.org
Aim: The research aims to explore the multi-layer application of machine learning
techniques in the field of cybersecurity, with a particular focus on anomaly detection as a …

[PDF][PDF] ENHANCING REGULATORY COMPLIANCE THROUGH TRAINING AND DEVELOPMENT PROGRAMS: CASE STUDIES AND RECOMMENDATION

M Tilala, AD Chawda, AP Benke - jcdronline.org
This article explores the significance of training and development in improving worker
performance, particularly in the realm of Information Systems (IS) security. Recognizing that …