Feasibility Study

Feasibility studies rigorously assess the viability of novel approaches or technologies across diverse scientific domains, ranging from medical diagnostics and data sharing to robotics and environmental monitoring. Current research emphasizes the application of machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and transformer architectures, to improve accuracy, efficiency, and data handling in these studies. These investigations are crucial for guiding resource allocation, informing decision-making, and ultimately translating promising scientific advancements into practical applications and improved outcomes across various fields.