Convolutional Neural network (CNN) based spinal cord disease prediction has emerged as
a reliable model in medical imaging applications. Spinal cord injury (SCI) detection is one of …

Image modalities, such as computed tomography (CT), magnetic resonance imaging (MRI),
single‐photon emission computed tomography (SPECT), and so on, reflect various levels of …

Our aim is to produce a model that can recognize hand gestures and signs. We will train a
model for the purpose of sign language conversion, a simple gesture recognizing model; …

Student advising is an important task that every advisor must participate for his/her career.
This paper defines the essentiality of the software, decision taking system for students to …

The spinal cord and heart in the body are major organs. Diagnosis of diseases in these
organs is very complex using MRI and CT images. The conventional methods like post …

The book recommendation systems provide practical information from datamining platform
with the evidence of Valuable sources. The Artificial intelligence (AI) concepts are more …

This study has outlined simulative study on integrated optical multimode waveguides with
guided beams based on the system standardization of elements. Deflection of a cantilever …

Abstract This work demonstrates Mach–Zehnder electro-optic modulators chirping
management in high speed data communication lightwave systems. The link with applied …

Abstract Industrial Process Control Systems (IPCS) like Supervisory Control and Data
Acquisition (SCADA) systems are more vulnerable to cyber-attacks. Detection of malicious …

Spinal cord tumour is an abnormal growth of cells in and around the spinal cord. Detecting
spinal cord tumours is a very crucial process. Identifying the tumour from MRI is difficult …