Nowcasting has emerged as a critical foundation for services including heavy rain alerts and public transportation management. Although widely used short-term forecasting, models such TrajGRU PredRNN exhibit limitations in predicting low-intensity rainfall low temporal resolution, resulting suboptimal performance during infrequent events. To tackle these challenges, we introduce spatio-temporal...

Anxiety and depression are very common in population and occur in a wide range of clinical states and is very common in epileptic patients. Many recent epidemiological studies have found a high prevalence of depression and anxiety in epileptic patients. These studies found that epileptic patients suffered from depression and anxiety than those without epilepsy. The prevalence of depression or a...

Temporal reasoning is complex. Typically, the proof methods used for temporal logics are both slow and, due to the quantity of information required, consume a large amount of space. The introduction of parallelism provides the potential for significant speedups together with the increased memory size required to handle larger proofs. Thus, we see the effective utilisation of parallelism as bein...

Introduction Activation mapping of ventricular tachycardia (VT) is rarely accomplished owing to limited temporal and spatial resolution, unacceptably long mapping time, and hemodynamic instability. Entrainment mapping is a reasonable approach to identify targets for ablation in patients with tolerated postinfarction reentrant VTs; however, it often does not allow delineation of the entire VT ci...

Crop cover mapping is an essential tool for controlling and enhancing agricultural productivity. By determining the spatial distribution of different crop types, solidified judgements regarding planning, management, risk management can be made. classification using optical data pose constraints in terms spectral resolution. With Sentinel – 2 providing ground information at 10m resolution, users...