High-noise grayscale image denoising using an improved median filter for the adaptive selection of a threshold

N Cao, Y Liu - Applied Sciences, 2024 - mdpi.com
Grayscale image processing is a key research area in the field of computer vision and image
analysis, where image quality and visualization effects may be seriously damaged by high …

[HTML][HTML] Optical remote sensing ship recognition and classification based on improved YOLOv5

J Jian, L Liu, Y Zhang, K Xu, J Yang - Remote Sensing, 2023 - mdpi.com
Due to the special characteristics of the shooting distance and angle of remote sensing
satellites, the pixel area of ship targets is small, and the feature expression is insufficient …

Development a Novel Hybrid Deep Learning-Model for Brain Tumor Classification and Automated Diagnosis

S Gupta, V Bansla, S Kumar, G Singh… - 2024 International …, 2024 - ieeexplore.ieee.org
Tumors of the brain are among the deadliest diseases of the century. Artificial intelligence
(AI) and neuroscience are used to identify, identify, and categorize brain tumors. A large …

[HTML][HTML] Emerging Biometric Modalities and Integration Challenges

S Tiwari, R Raja, RS Wadawadagi… - Online Identity-An …, 2024 - intechopen.com
Biometric authentication systems play a pivotal role in ensuring security and user
convenience across diverse domains, and with technological advancements, there is a …

HDL environment for the synthesis of 2-dimensional and 3-dimensional network on chip mesh router architecture

S Kumari, K Rajput, G Singh, A Jain… - 2024 International …, 2024 - ieeexplore.ieee.org
Application specific Network on Chip (NoC) designs are quickly becoming the technology of
choice for solving the problem of multiprocessor system architecture. Broadband, interposes …

Q-Learning-Based Approach to Detect Tumor in Human–Brain

C Mani, A Aeron, K Rajput, S Kumar… - 2024 International …, 2024 - ieeexplore.ieee.org
The brain's own aberrant and unregulated cell division is what causes brain tumors. In the
tumor growth exceeds 50%, the patient will not be able to recover. As a result, rapid and …

Development of a novel quality of service aware video streaming on demand system for the Internet of Thing enabled MANET

NK Agrawal, S Kumar, GS Bisht… - 2024 International …, 2024 - ieeexplore.ieee.org
A mobile ad hoc network (MANET) uses mobile devices and wireless networking to stream
video. Several methods have been developed to address the challenges associated with …

RECRIoT-MAC: A reliable and energy efficient resource management for Internet of Things based cognitive radio multi-channel MAC protocol

NK Agrawal, S Kumar, GS Bisht… - 2024 International …, 2024 - ieeexplore.ieee.org
Currently, the overcrowding of unlicensed spectrum bands is causing severe interference to
IoT devices embedded with sensors. CR-IoT networks apply cognitive radio capabilities to …

Machine Learning Model used Efficiently to Manage the Smart Grid and Renewable Energy

Y Narayan, S Selvaraj… - … Conference on New …, 2023 - ieeexplore.ieee.org
A new technology, a Smart Grid Management System (SGMS), explains how it uses
machine learning algorithms to distribute power more effectively. This article overviews …

Privacy-Preserving Techniques for Data Sharing in the Era of IoT

PK Goel, G Singh, S Chattopadhyay… - 2024 International …, 2024 - ieeexplore.ieee.org
The rapid expansion of Internet of Things (IoT) devices has revolutionized data generation
and sharing but simultaneously introduced profound privacy concerns for both individuals …