Cancer is the most fatal diseases in the world which has highest mortality rate as compared
to other type's human diseases. The most common and dangerous types of cancers are lung …

This paper presents survey on various techniques used to classify plants and its disease.
Classification is concerned with classifying each sample into different classes. Classification …

Optimization algorithms are used to improve model accuracy. The optimization process
undergoes multiple cycles until convergence. A variety of optimization strategies have been …

The prediction of crowd flows is an important urban computing issue whose purpose is to
predict the future number of incoming and outgoing people in regions. Measuring the …

A chatbot is emerged as an effective tool to address the user queries in automated, most
appropriate and accurate way. Depending upon the complexity of the subject domain …

For intelligent transportation systems (ITS), predicting urban traffic crowd flows is of great
importance. However, it is challenging to represent various complex spatial relationships …

Accurate and timely predicting citywide traffic crowd flows precisely is crucial for public
safety and traffic management in smart cities. Nevertheless, its crucial challenge lies in how …

Human activity recognition (HAR) is a challenging issue in several fields, such as medical
diagnosis. Recent advances in the accuracy of deep learning have contributed to solving the …

Crowd counting research has made significant advancements in real-world applications, but
it remains a formidable challenge in cross modal settings. Most existing methods rely solely …

Credit card fraud has adversely impacted market economic order and has broken
stakeholders, financial entities, and consumers' trust and interest. Card fraud losses are …