The growing human population in this modern society hugely depends on the energy to
fulfill their day-to-day needs and activities. Renewable energy sources, especially solar …

Object detection for industrial applications refers to analyzing the captured images and
videos and finding the relationship between the detected objects for better optimization, data …

The wide scale prevalence of diseases in tomato crop affects the production quality and
quantity. In order to counteract the problem early diagnosis of diseases using a fast reliable …

Predictive models for micropollutant removal by membrane separation are highly desirable
for the design and selection of appropriate membranes. While machine learning (ML) …

Cybersecurity protects and recovers computer systems and networks from cyber attacks. The
importance of cybersecurity is growing commensurately with people's increasing reliance on …

In recent times, hurricanes Matthew, Harvey, and Irma have disrupted the lives of millions of
people across multiple states in the United States. Under hurricane evacuation, efficient …

In the era of Internet of things (IoT), network Connection of an enormous number of
agriculture machines and service centers is an expectation. However, it will be with a …

The classification of tree species can significantly benefit from high spatial and spectral
information acquired by unmanned aerial vehicles (UAVs) associated with advanced …

Classification of very high resolution imagery (VHRI) is challenging due to the difficulty in
mining complex spatial and spectral patterns from rich image details. Various object-based …

Essential genes are critical for the growth and survival of any organism. The machine
learning approach complements the experimental methods to minimize the resources …