One of the most common and deadly diseases in the world is lung cancer. Only early
identification of lung cancer can increase a patient's probability of survival. A frequently used …

Video Surveillance (VS) systems are popular. For enhancing the safety of public lives as
well as assets, it is utilized in public places like marketplaces, hospitals, streets, education …

Convolutional neural network (CNN) has shown dissuasive accomplishment on different
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …

For traffic surveillance systems (TSS), Moving object detection and tracking is the key
technology. On account of moving object-orientation variation, changing weather conditions …

First, this study develops an enhanced slime mould algorithm (MGSMA). The main idea is to
combine the new movement strategy and Gaussian kernel probability strategy to improve …

By using color vegetative indices and Otsu's thresholding, we develop a method for the
segmentation of unhealthy leaves in cruciferous crops as a procedure of automatic early …

Day by day, all the research communities have been focusing on digital image retrieval due
to more internet and social media uses. In this paper, a U‐Net‐based neural network is …

Ambient intelligence refers to the combination of pervasive ubiquitous computing, big data
and artificial frameworks, IoT, sensor networks, and human‐computer interaction (HCI) …

In this day and age, area calculation and detection methods are always in need of training
data. Although, labelling objects are not volatile approaches to solve the detection problem …

Cerebrum signals can be acquired and broken down with various techniques, as
represented in the paper. Electroencephalogram (EEG) signals are damaged by various …