Dates: 2023
Principal Investigator: Dr. Fakhri Alam Khan
Funded by: SDAIA-KFUPM Joint Research Center for Artificial Intelligence

Description: Deep learning has achieved great success but still faces two major challenges: slow learning and high computational complexity, which limit its performance. This research proposes improvements through pre-processing and data reduction. First, input data will undergo feature standardization and conversion into a bit-plane format to reduce storage needs, with bit-plane 7 used for further processing. Next, a 2D principal component analysis (2DPCA) will reduce dimensionality by selecting the most important information. These steps aim to speed up computation and improve efficiency while maintaining strong classification performance. The enhanced deep learning approach will be applied to develop an accurate and rapid system for early detection of Alzheimer’s disease, a leading cause of death worldwide where timely diagnosis is critical.