AIMC Topic: Cloud Computing

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Automated depression detection via cloud based EEG analysis with transfer learning and synchrosqueezed wavelet transform.

Scientific reports
Post-COVID-19, depression rates have risen sharply, increasing the need for early diagnosis using electroencephalogram (EEG) and deep learning. To tackle this, we developed a cloud-based computer-aided depression diagnostic (CCADD) system that utiliz...

An intelligent framework for crop health surveillance and disease management.

PloS one
The agricultural sector faces critical challenges, including significant crop losses due to undetected plant diseases, inefficient monitoring systems, and delays in disease management, all of which threaten food security worldwide. Traditional approa...

Heuristically enhanced multi-head attention based recurrent neural network for denial of wallet attacks detection on serverless computing environment.

Scientific reports
Denial of Wallet (DoW) attacks are a cyber threat designed to utilize and deplete an organization's financial resources by generating excessive prices or charges in their cloud computing (CC) and serverless computing platforms. These threats are prim...

Toward a conceptual model to improve the user experience of a sustainable and secure intelligent transport system.

Acta psychologica
The rapid advancement of automotive technologies has spurred the development of innovative applications within intelligent transportation systems (ITS), aimed at enhancing safety, efficiency and sustainability. These applications, such as advanced dr...

Optimized Adaboost Support Vector Machine-Based Encryption for Securing IoT-Cloud Healthcare Data.

Sensors (Basel, Switzerland)
The Internet of Things (IoT) connects various medical devices that enable remote monitoring, which can improve patient outcomes and help healthcare providers deliver precise diagnoses and better service to patients. However, IoT-based healthcare mana...

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

Sensors (Basel, Switzerland)
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...

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
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...

Application of cloud server-based machine learning for assisting pathological structure recognition in IgA nephropathy.

Journal of clinical pathology
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...

AIScholar: An OpenFaaS-enhanced cloud platform for intelligent medical data analytics.

Computers in biology and medicine
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....

Optimizing load scheduling and data distribution in heterogeneous cloud environments using fuzzy-logic based two-level framework.

PloS one
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...