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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 …
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 …
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
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 …
(AI) and neuroscience are used to identify, identify, and categorize brain tumors. A large …
[HTML][HTML] Emerging Biometric Modalities and Integration Challenges
Biometric authentication systems play a pivotal role in ensuring security and user
convenience across diverse domains, and with technological advancements, there is a …
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 …
choice for solving the problem of multiprocessor system architecture. Broadband, interposes …
Q-Learning-Based Approach to Detect Tumor in Human–Brain
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 …
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 …
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 …
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 …
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 …
and sharing but simultaneously introduced profound privacy concerns for both individuals …