Machine learning has been utilized to perform tasks in many different domains such as
classification, object detection, image segmentation and natural language analysis. Data …

Modern approach to artificial intelligence (AI) aims to design algorithms that learn directly
from data. This approach has achieved impressive results and has contributed significantly …

Many parts of the world experience severe episodes of flooding every year. In addition to the
high cost of mitigation and damage to property, floods make roads impassable and hamper …

With the novel coronavirus, social distancing and crowd monitoring became vital in
managing the spread of the virus. This paper presents a desktop application that utilizes …

Abstract According to the Indian Food and Agriculture Organizations (FAO), agricultural
plants can disrupt the prospect of a worldwide productivity loss of about 20–40%. To avoid …

As climate change, biodiversity loss, and biological invaders are all on the rise, the
significance of conservation and pest management initiatives cannot be stressed. Insect …

The current biodiversity loss crisis makes animal monitoring a relevant field of study. In light
of this, data collected through monitoring can provide essential insights, and information for …

The health of the coral reefs is at risk due to the increase in water pollution and climate
change. The destruction of these coral reefs becomes relevant as the Philippines has a …

Intelligent Surveillance Systems are increasingly gaining attention as countries build smart
cities. The application of such systems includes monitoring foot traffic. This functionality …

With the ongoing trend of implementing intelligent and remote traffic control on inland
waterways, relying solely on Automatic Identification System as a data source is insufficient …