Earth observation is a growing research area that can capitalize on the powers of artificial
intelligence for short time forecasting, a now-casting scenario. In this work, we tackle the …

Hypercomplex numbers, such as quaternions and octonions, have recently gained attention
because of their advantageous properties over real numbers, eg, in the development of …

Weather forecasting is a critical research area that may lead to serious consequences, if not
done accurately. In order to manage the impact of adverse weather effects short time …

Marine debris poses a significant ecological challenge, necessitating advanced methods for
its accurate detection and segmentation. Deep learning (DL) enables advanced remote …

The brief presents the results of synthesizing efficient algorithms for implementing the basic
data-processing macro operations used in tessarine-valued neural networks. These macro …

Hypercomplex graph convolutions with higher hypercomplex dimensions can extract more
complex features in graphs and features with varying levels of complexity are suited for …

Quaternionized versions of standard (real-valued) neural network layers have shown to lead
to networks that are sparse and as effective as their real-valued counterparts. In this work …

This paper presents a new algorithm for multiplying two Kaluza numbers. Performing this
operation directly requires 1024 real multiplications and 992 real additions. We presented in …

Because of increased urban complexity and growing populations, more and more
challenges about predicting city-wide mobility behavior are being organized. Traffic Map …

Abstract Alabi Sakirudeen Bojesomo,“Short time spatiotemporal forecasting using efficient
deep learning algorithms”, PhD Dissertation, Phd in Engineering, Department of Electrical …