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data analysis » data analytics (Expand Search), meta analysis (Expand Search), task analysis (Expand Search)
programs » program (Expand Search)
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A systematic literature review on contemporary and future trends in virtual machine scheduling techniques in cloud and multi-access computing
Published 2024“…<h3>Introduction</h3><p dir="ltr">The migration of business and scientific operations to the cloud and the surge in data from IoT devices have intensified the complexity of cloud resource scheduling. …”
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Distribution transformers reliability; industrial plant in SaudiArabia
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GIS-BIM Based Regional Seismic Risk Assessment for Dubai, UAE
Published 2023Get full text
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Reliability assessment of heterogeneous Dagum-distributed multi-component stress-strength systems under adaptive hybrid progressive censoring
Published 2025“…The methodology is validated through simulation studies and real-world data analysis, demonstrating the model’s flexibility in capturing heavy-tailed lifetime behavior and providing actionable insights for reliability planning, component selection, and preventive maintenance scheduling. …”
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Application of updated joint detection algorithm for the analysis of drilling parameters of roof bolters in multiple joints conditions
Published 2017“…For this purpose, computer programs based on updated pattern recognition algorithms were developed for joint-detection and classification of rock types to offer an estimated strength. …”
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Advanced Machine Learning and Deep Neural Network Models for Large-Scale Environmental Pollution Detection, Exposure Quantification, and Biomedical Impact Assessment Using Remote S...
Published 2025“…To address these constraints, this paper suggests a more complex machine learning (ML) and deep neural network (DNN)-based system to detect massive environmental pollution, quantify population exposure, and compute biomedical effects of desalination plants with multisource remote sensing data. …”
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Multivariate Features Extraction and Effective Decision Making Using Machine Learning Approaches
Published 2020“…</p><h2>Other Information</h2><p dir="ltr">Published in: Energies<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/en13030609" target="_blank">https://dx.doi.org/10.3390/en13030609</a></p><p dir="ltr">Additional institutions affiliated with: Electrical and Computer Engineering Program - TAMUQ</p>…”
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Quantum-Integrated Deep Learning Framework for Large-Scale Gene Expression Analysis and Predictive Modeling of Parkinson’s and Alzheimer’s disease
Published 2026“…The objectives of the current research were to isolate differentially expressed genes (DEGs) that are related to PD and AD, as well as to determine their applicability in the classification of the disease with the help of integrative computational methods. Available transcriptomic data in the general population were subjected to the analysis in order to identify important DEGs at the level of statistical providers such as false discovery rate (FDR) adjusted values. …”
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Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
Published 2020“…<p>Background Rigorous analysis of levels and trends in exposure to leading risk factors and quantification of their effect on human health are important to identify where public health is making progress and in which cases current efforts are inadequate. …”
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Addressing Cyber Security Accessibility: A Qualitative Study
Published 2021“…The experiences of 17 victims of social engineering attacks are sought using semi-structured interviews. The analysis of the interview data was done using grounded theory, and two main categories relevant to social engineering methods and accessible cybersecurity mechanisms were identified. …”