Nowadays, prostate cancer has surpassed lung cancer as the most common type of cancer,
segmentation of prostate ultrasound images is a critical step in the detection and planning …

In computer vision, image feature extraction methods are used to extract features so that the
features are learnt for classification tasks. In biomedical images, the choice of a particular …

Abstract Internet of Things (IoT) devices are widely used but also vulnerable to cyberattacks
that can cause security issues. To protect against this, machine learning approaches have …

The crop yield prediction is very useful for the farmers to manage the farming practices. The
prediction accuracy depends on various pre-processing tasks including but not limited to …

The liver tumor is one of the most foremost critical causes of death in the world. Nowadays,
Medical Imaging (MI) is one of the prominent Computer Vision fields (CV), which helps …

Spike sorting is the basis for analyzing spike firing patterns encoded in high-dimensional
information spaces. With the fact that high-density microelectrode arrays record multiple …

In medical science, the scrutiny of blood smears for the abnormality in erythrocyte, leads to
decisive determination of several ailments like Thalasemia, Liver disease, Sickle cell …

Biological Tomato leaf classification is very important to decide the pesticide, insecticide,
and other treatments needed for the plant to yield good crop. The images captured by …

Visual features encompass visual information extracted from images or videos, serving as
supplementary input to enhance the efficacy of neural machine translation (NMT) systems …

Large-scale urban scene 3D mapping has urgent demands and wide applications in many
areas, where sensor pose globalization remains its fundamental problem and critical step …