Recently, the improvement of network technology and the spread of digital documents have
made the technology for automatically correcting English texts very important. In English …

Software Defined Networking (SDN) is a new network paradigm to address the limitations of
vertically integrated conventional networks in context of scalability, Quality of Service …

In order to effectively manage infectious diseases, it is crucial to understand the interplay
between disease dynamics and human conduct. Various factors can impact the control of an …

The main aim of the project is to recognize faces using the Novel Convolutional Neural
Network algorithm in comparison with the Haar Cascade algorithm for the Google AI images …

The proposed work aims to detect numerous objects from various classes effectively using
YOLOv3-tiny in comparison with mobilenet SSD algorithm. Materials and Methods: A sample …

Artificial intelligence (AI) has revolutionized the scientific and biological fields to facilitate
animal and human health. The purpose of this chapter is to explain the impact and role of AI …

In this paper an innovative microstrip patch antenna is designed to enhance the return loss.
This work presents the comparative analysis of the return loss enhancement between the …

To detect human behaviour and measure accuracy of classification rate. Materials and
Methods: A novel deep belief network with sample size 10 and support vector machine with …

Dear Editor s an artificial intelligence (AI) branch, machine learning has pioneering
applications in public health, ranging from disease diagnosis to epidemic prediction …

To identify the diseased apple fruits using 2D and 3D convolution neural network. Materials
and Methods: Kaggle dataset is used to characterize the images, dataset contains 100 …