A systematic review on biomarker identification for cancer diagnosis and prognosis in multi-omics: from computational needs to machine learning and deep learning
Biomarkers, also known as biological markers, are substances like transcripts,
deoxyribonucleic acid (DNA), genes, proteins, and metabolites that indicate whether a …
deoxyribonucleic acid (DNA), genes, proteins, and metabolites that indicate whether a …
Cloud-based multiclass anomaly detection and categorization using ensemble learning
The world of the Internet and networking is exposed to many cyber-attacks and threats. Over
the years, machine learning models have progressed to be integrated into many scenarios …
the years, machine learning models have progressed to be integrated into many scenarios …
Improving operations through a lean AI paradigm: A view to an AI-aided lean manufacturing via versatile convolutional neural network
Abstract Integrating Lean Manufacturing tools with artificial intelligence (AI) is emerging as a
revolutionary approach to optimize production processes, reduce waste, and enhance …
revolutionary approach to optimize production processes, reduce waste, and enhance …
[PDF][PDF] Adopting artificial intelligence and deep learning techniques in cloud computing for operational efficiency
S Achar - International Journal of Information and …, 2022 - researchgate.net
Artificial intelligence (AI) is being increasingly incorporated into many applications across
various sectors such as health, education, security, and agriculture. Recently, there has …
various sectors such as health, education, security, and agriculture. Recently, there has …
Single sample face recognition using deep learning: a survey
Face recognition has become popular in the last few decades among researchers across
the globe due to its applicability in several domains. This problem becomes more …
the globe due to its applicability in several domains. This problem becomes more …
An Edge-Fog-Cloud computing architecture for IoT and smart metering data
Smart Metering (SM) systems allow frequent and accurate consumption readings that can be
the source of multiple applications, generating new business in the future. However, it …
the source of multiple applications, generating new business in the future. However, it …
Artificial Intelligence in Cloud Computing technology in the Construction industry: A bibliometric and systematic review
The integration and impact of artificial intelligence (AI) and cloud computing (CC) technology
in the construction industry (CI) would support their implementation process and adoption …
in the construction industry (CI) would support their implementation process and adoption …
Container-based data pipelines on the computing continuum for remote patient monitoring
The emerging concept of big data pipelines provides relevant solutions and is one of the
main enablers of telemedicine. We present a data pipeline for remote patient monitoring and …
main enablers of telemedicine. We present a data pipeline for remote patient monitoring and …
Artificial intelligence algorithms in flood prediction: a general overview
M Pandey - Geo-information for Disaster Monitoring and …, 2024 - Springer
This paper presents a comprehensive general overview of the extensive literature available
in the field of application of artificial intelligence (AI) in flood prediction. The initial approach …
in the field of application of artificial intelligence (AI) in flood prediction. The initial approach …
Human-centric and semantics-based explainable event detection: a survey
In recent years, there has been a surge of interest in Artificial Intelligence (AI) systems that
can provide human-centric explanations for decisions or predictions. No matter how good …
can provide human-centric explanations for decisions or predictions. No matter how good …