Crop diseases have a significant impact on plant growth and can lead to reduced yields.
Traditional methods of disease detection rely on the expertise of plant protection experts …

To prevent economic, social, and ecological damage, fire detection and management at an
early stage are significant yet challenging. Although computationally complex networks have …

The recognition of fire at its early stages and stopping it from causing socioeconomic and
environmental disasters remains a demanding task. Despite the availability of convincing …

A country's economy heavily depends on agricultural development. However, due to several
plant diseases, crop growth rate and quality are highly suffered. Accurate identification of …

The COVID-19 pandemic has posed significant challenges in accurately diagnosing the
disease, as severe cases may present symptoms similar to pneumonia. Real-Time Reverse …

Much artificial intelligence (AI) and machine learning (ML) applications use data collected
on IoT platforms to train their model. Depending on the quality and quantity of data collected …

The analysis of overcrowded areas is essential for flow monitoring, assembly control, and
security. Crowd counting's primary goal is to calculate the population in a given region …

Existing vehicle re-identification methods mainly rely on the single query, which has limited
information for vehicle representation and thus significantly hinders the performance of …

The oil industries are an important part of a country's economy. The crude oil's price is
influenced by a wide range of variables. Therefore, how accurately can countries predict its …

Artificial Intelligence (AI) and Computer Vision (CV) advancements have led to many useful
methodologies in recent years, particularly to help visually-challenged people. Object …