Cryptocurrency is a new sort of asset that has emerged as a result of the advancement of
financial technology and it has created a big opportunity for researches. Cryptocurrency …

In recent years, the use of remote sensing data obtained from satellite or unmanned aerial
vehicle (UAV) imagery has grown in popularity for crop classification tasks such as yield …

Forecasting solar power generation (SPG) is vital for the development and planning of
power systems, offering significant benefits in terms of technical performance and financial …

Accurate mapping of crop types globally is essential for maintaining food security. In recent
years, with the continued launch of the earth observation (EO) satellites, the freely …

Satellite image time series (SITS) classification is a challenging application concurrently
driven by long-term, large-scale, and high spatial-resolution observations acquired by …

A gated recurrent unit (GRU) network, which is a kind of artificial neural network (ANN), has
been increasingly applied to runoff forecasting. However, knowledge about the impact of …

Semantic segmentation (classification) of Earth Observation imagery is a crucial task in
remote sensing. This paper presents a comprehensive review of technical factors to …

Crop classification plays a vital role in monitoring agricultural landscapes and enhancing
food production. In this study, we explore the effectiveness of Long Short-Term Memory …

The instantaneous abnormal mold level fluctuation (IAMLF) has significant harmful effects on
slab quality. This article proposes a prediction and control method for IAMLF. First, the data …

In this study, we propose a one-branch IncepTAE network to extract local and global hybrid
temporal attention simultaneously and congruously for fine-grained satellite image time …