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An improved design for a cloud intrusion detection system using hybrid features selection approach with ML classifier
The focus of cloud computing nowadays has been resha** the digital epoch, in which
clients now face serious concerns about the security and privacy of their data hosted in the …
clients now face serious concerns about the security and privacy of their data hosted in the …
Taxonomy of Metrics for Effectively Estimating Quantum Software Projects: A Fuzzy-AHP based analysis
Quantum computing represents a revolutionary shift in computing, yet develo** quantum
software is significantly more complex than traditional software engineering. Existing …
software is significantly more complex than traditional software engineering. Existing …
Image Text Extraction and Natural Language Processing of Unstructured Data from Medical Reports
This study presents an integrated approach for automatically extracting and structuring
information from medical reports, captured as scanned documents or photographs, through …
information from medical reports, captured as scanned documents or photographs, through …
Frontiers in machine learning strategies for dye removal in water treatment
The application of machine learning techniques in the removal of dyes from water has
garnered significant attention due to its potential to enhance efficiency and accuracy in water …
garnered significant attention due to its potential to enhance efficiency and accuracy in water …
Machine learning based predictive modeling to effectively implement DevOps practices in software organizations
Abstract Development and Operations (DevOps) is a relatively recent phenomenon that can
be defined as a multidisciplinary effort to improve and accelerate the delivery of business …
be defined as a multidisciplinary effort to improve and accelerate the delivery of business …
[HTML][HTML] Genetic model-based success probability prediction of quantum software development projects
Context Quantum computing (QC) holds the potential to revolutionize computing by solving
complex problems exponentially faster than classical computers, transforming fields such as …
complex problems exponentially faster than classical computers, transforming fields such as …
Challenges in requirements gathering for agile software development
Agile software development is a methodology for creating software that prioritizes flexibility,
collaboration, and iterative development. It emphasizes the rapid delivery of working …
collaboration, and iterative development. It emphasizes the rapid delivery of working …
6G secure quantum communication: a success probability prediction model
The emergence of 6G networks initiates significant transformations in the communication
technology landscape. Yet, the melding of quantum computing (QC) with 6G networks …
technology landscape. Yet, the melding of quantum computing (QC) with 6G networks …
Enterprise architecture contribution in distributed agile software development
Geographically distributed agile development may experience a high failure rate due to
communication issues, which has a negative influence on project performance. One …
communication issues, which has a negative influence on project performance. One …
Optimized radial basis function network for the fatigue driving modeling
The optimized radial basis function network is a kind of neural network that utilizes a step
size inside of the gradient strategy for the modeling, where a small step size will spend much …
size inside of the gradient strategy for the modeling, where a small step size will spend much …