[PDF][PDF] Classification Similarity Network Model for Image Fusion Using Resnet50 and GoogLeNet.

PS Satya Sreedhar… - Intelligent Automation & …, 2022 - cdn.techscience.cn
The current trend in Image Fusion (IF) algorithms concentrate on the fusion process alone.
However, pay less attention to critical issues such as the similarity between the two input …

[HTML][HTML] The improvement of Faster-RCNN Crack Recognition Model and parameters based on attention mechanism

Q Li, X Xu, J Guan, H Yang - Symmetry, 2024 - mdpi.com
In recent years, computer vision technology has been extensively applied in the field of
defect detection for transportation infrastructure, particularly in the detection of road surface …

Early Diagnosis of Lung Cancer Using Computer Aided Detection via Lung Segmentation Approach

A Bhandary, M Basthikodi - arXiv preprint arXiv:2107.12205, 2021 - arxiv.org
Lung cancer begins in the lungs and leading to the reason of cancer demise amid
population in the creation. According to the American Cancer Society, which estimates about …

[PDF][PDF] Comparative analysis of machine learning techniques on genetic mutation based cancer diagnosis data

AR Kandula, R Sathya, S Narayana - Journal of Theoretical and Applied …, 2022 - jatit.org
There are still several research studies about how precision medicine and advanced genetic
testing are highly disrupted by how cancer-like diseases are treated. The major …

[Retracted] Integrated Energy Security Defense Monitoring Software Based on Cloud Computing

Y Shang - Security and Communication Networks, 2022 - Wiley Online Library
In order to solve the problem of outlier detection of integrated energy security defense
monitoring software, an automatic detection algorithm of virtual machine power anomaly in a …

Machine Learning Protocols for Enhanced Cloud Network Security

P Khatarkar, DP Singh, A Sharma - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
In fortifying the security of an organization's cloud environment, it is crucial to align security
strategies with specific objectives and threats unique to the cloud landscape. This paper …

Performance analysis of machine learning algorithms for Malware classification

RH Bushra, MT Alam, A Saha, NS Fahim, NM Binty - 2022 - dspace.bracu.ac.bd
Malware detection research has been popular over the years as the variations and
complexity of malware attacks are increasing daily. Using variously Supervised and …