In recent years, sparse self-representation has achieved remarkable success in hyperspectral band selection.However, the traditional sparse transpharm online shopping self-representation-based band selection methods tend to neglect the spatial distribution differences and spectral redundancy between heterogeneous regions.Consequently, the uniform b
Past empirical studies have suggested that older adults preferentially use gaze-based mood regulation to lessen their negative experiences while watching an emotional scene.This preference for a low cognitively demanding regulatory strategy leaves open the question of whether the effortful processing of a more cognitively demanding reappraisal task
In this paper we propose a method for real-time blob detection in large images with low memory cost.The method is suitable for implementation on the specialized southwestern aztec rug parallel hardware such as multi-core platforms, FPGA and ASIC.It uses parallelism to speed-up the blob detection.The input image is divided into blocks of equal sizes
This paper presents the application of deep learning (DL) approach namely Feed-Forward Neural Networks (FFNN) in predicting the location of lightning occurrences within 100 km radius from Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) Pekan, Pahang Malaysia.The recorded data were obtained from Malaysia Meteorology Department (MET Malaysia),