Authors: Ms. Monalisa Baral, Ms. Komal Bhamble, Dr. Jasbir Kaur, Ms. Ifrah Kampoo
Abstract: A variety of real-world problems are being addressed today by soft computing, but limited research has been found in the area of neuroimaging. Given the vast area of neuroimaging that can be explored through soft computing, researchers can work on and improve their work. The results of this research should advance soft-computing approaches to address neuroimaging problems. However, the human brain contains a large portion of the dataset, and the dataset is not homogeneous, so it is not easy to deal with the problem. A heuristic approach to soft computing can play an important role in addressing problems within limited time constraints. Furthermore, fuzzy logic is also an effective neural networks, fuzzy logic, statistics, and probabilistic inference. In addition, parts of machine learning and optimization are also included in this domain. However, Neuro imaging is primarily focused on brain data and the impact on behavioral and cognitive data by analyzing solution for identifying neurodivergent diseases. To combine all the fruitful solutions, this research topic aims to summarize all the solutions by covering a wide range of soft computing and neuroimaging methods
DOI: 10.61137/ijsret.vol.11.issue3.153
