AIMC Topic: Cloud Computing

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Machine Learning-Based Resource Management in Fog Computing: A Systematic Literature Review.

Sensors (Basel, Switzerland) Jan 23, 2025
This systematic literature review analyzes machine learning (ML)-based techniques for resource management in fog computing. Utilizing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol, this paper focuses on ML a...
Machine Learning Deep Learning Cloud Computing Humans
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Towards practical and privacy-preserving CNN inference service for cloud-based medical imaging analysis: A homomorphic encryption-based approach.

Computer methods and programs in biomedicine Jan 21, 2025
BACKGROUND AND OBJECTIVE: Cloud-based Deep Learning as a Service (DLaaS) has transformed biomedicine by enabling healthcare systems to harness the power of deep learning for biomedical data analysis. However, privacy concerns emerge when sensitive us...
Algorithms Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Privacy Computer Security Cloud Computing Diagnostic Imaging Confidentiality
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Application of cloud server-based machine learning for assisting pathological structure recognition in IgA nephropathy.

Journal of clinical pathology Jan 17, 2025
BACKGROUND: Machine learning (ML) models can help assisting diagnosis by rapidly localising and classifying regions of interest (ROIs) within whole slide images (WSIs). Effective ML models for clinical decision support require a substantial dataset o...
Humans Machine Learning Algorithms Glomerulonephritis, IGA Image Interpretation, Computer-Assisted Cloud Computing Internet Kidney Glomerulus
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AIScholar: An OpenFaaS-enhanced cloud platform for intelligent medical data analytics.

Computers in biology and medicine Jan 8, 2025
This paper presents AIScholar, an intelligent research cloud platform developed based on artificial intelligence analysis methods and the OpenFaaS serverless framework, designed for intelligent analysis of clinical medical data with high scalability....
Cloud Computing Data Analytics Humans Artificial Intelligence Software Female Breast Neoplasms
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Optimizing load scheduling and data distribution in heterogeneous cloud environments using fuzzy-logic based two-level framework.

PloS one Dec 13, 2024
Cloud environment handles heterogeneous services, data, and users collaborating on different technologies and resource scheduling strategies. Despite its heterogeneity, the optimality in load scheduling and data distribution is paused due to unattend...
Humans Fuzzy Logic Algorithms Cloud Computing
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PHyPO: Priority-based Hybrid task Partitioning and Offloading in mobile computing using automated machine learning.

PloS one Dec 12, 2024
With the increasing demand for mobile computing, the requirement for intelligent resource management has also increased. Cloud computing lessens the energy consumption of user equipment, but it increases the latency of the system. Whereas edge comput...
Humans Cloud Computing Algorithms Machine Learning
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Revolutionizing healthcare: a comparative insight into deep learning's role in medical imaging.

Scientific reports Dec 4, 2024
Recently, Deep Learning (DL) models have shown promising accuracy in analysis of medical images. Alzeheimer Disease (AD), a prevalent form of dementia, uses Magnetic Resonance Imaging (MRI) scans, which is then analysed via DL models. To address the ...
Humans Neural Networks, Computer Cloud Computing Magnetic Resonance Imaging Diagnostic Imaging Alzheimer Disease Deep Learning Image Processing, Computer-Assisted
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The use of cloud based machine learning to predict outcome in intracerebral haemorrhage without explicit programming expertise.

Neurosurgical review Dec 3, 2024
Machine Learning (ML) techniques require novel computer programming skills along with clinical domain knowledge to produce a useful model. We demonstrate the use of a cloud-based ML tool that does not require any programming expertise to develop, val...
Glasgow Coma Scale ROC Curve Logistic Models Cerebral Hemorrhage Humans Cloud Computing Male Prognosis Treatment Outcome Middle Aged Female Aged Machine Learning Aged, 80 and over
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A fact based analysis of decision trees for improving reliability in cloud computing.

PloS one Dec 3, 2024
The popularity of cloud computing (CC) has increased significantly in recent years due to its cost-effectiveness and simplified resource allocation. Owing to the exponential rise of cloud computing in the past decade, many corporations and businesses...
Deep Learning Decision Trees Bayes Theorem Algorithms Reproducibility of Results Machine Learning Cloud Computing
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Performance of a Full-Coverage Cervical Cancer Screening Program Using on an Artificial Intelligence- and Cloud-Based Diagnostic System: Observational Study of an Ultralarge Population.

Journal of medical Internet research Nov 20, 2024
BACKGROUND: The World Health Organization has set a global strategy to eliminate cervical cancer, emphasizing the need for cervical cancer screening coverage to reach 70%. In response, China has developed an action plan to accelerate the elimination ...
Mass Screening Early Detection of Cancer Cloud Computing China Artificial Intelligence Rural Population Female Humans Uterine Cervical Neoplasms Adult Middle Aged
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