Abstract The application of Artificial Intelligence (AI) in environmental monitoring offers
accurate disaster forecasts, pollution source detection, and comprehensive air and water …

Rapid urbanisation has intensified the need for sustainable solutions to address challenges
in urban infrastructure, climate change, and resource constraints. This study reveals that …

The main goal of this research paper is to apply a deep neural network model for time series
forecasting of environmental variables. Accurate forecasting of snow cover and NDVI are …

Accurate predicting the air quality trend can provide a theoretical basis for environmental
protection management and decision-making. This study proposed the convolutional neural …

In power fingerprint identification, feature information is insufficient when using a single
feature to identify equipment, and small load data of specific customers, difficult to meet the …

A brain tumor is a lethal neurological disease that affects the average performance of the
brain and can be fatal. In India, around 15 million cases are diagnosed yearly. To mitigate …

An early brain tumor diagnosis is crucial for effective and proactive treatment, which
improves the patient's survival rate. In this paper, we propose a novel Deep Convolutional …

Agriculture is critical for a country's population growth and economic expansion. In Saudi
Arabia (SA), agriculture relies on groundwater, seasonal water, desalinated water, and …

Internet of things (IoT) devices' evolution and growth have boosted system efficiency,
reduced human labour, and improved operational efficiency; however, IoT devices pose …

Hyperspectral images can easily discriminate different materials due to their fine spectral
resolution. However, obtaining a hyperspectral image (HSI) with a high spatial resolution is …