Big data analytics deep learning techniques and applications: A survey

HA Selmy, HK Mohamed, W Medhat - Information Systems, 2023 - Elsevier
Deep learning (DL), as one of the most active machine learning research fields, has
achieved great success in numerous scientific and technological disciplines, including …

Deep learning of brain magnetic resonance images: A brief review

X Zhao, XM Zhao - Methods, 2021 - Elsevier
Magnetic resonance imaging (MRI) is one of the most popular techniques in brain science
and is important for understanding brain function and neuropsychiatric disorders. However …

Big data analytics in supply chain management: a systematic literature review

A Albqowr, M Alsharairi, A Alsoussi - VINE Journal of Information and …, 2024 - emerald.com
Purpose The purpose of this paper is to analyse and classify the literature that contributed to
three questions, namely, what are the benefits of big data analytics (BDA) in the field of …

CADM: big data to limit creative accounting in Saudi-listed companies

M Bineid, N Beloff, A Khanina… - 2023 18th Conference on …, 2023 - ieeexplore.ieee.org
Global financial scandals have demonstrated the harmful impact of creative accounting, a
practice where managers creatively manipulate financial reports to conceal a company's …

[PDF][PDF] Intelligence COVID-19 Monitoring Framework Based on Deep Learning and Smart Wearable IoT Sensors.

F Mukhlif, N Ithnin, R Alroobaea… - … Materials & Continua, 2023 - cdn.techscience.cn
ABSTRACT The World Health Organization (WHO) refers to the 2019 new coronavirus
epidemic as COVID-19, and it has caused an unprecedented global crisis for several …

BiLSTM_SAE: a hybrid deep learning framework for predictive data analytics system in traffic modeling

S Goswami, A Kumar - 2023 - researchsquare.com
Big data has been utilized and attracted various researchers due to the phenomenal
increase in computational application which has developed an overwhelming flow of data …

Hybrid Clustering and Optimized DBN for Data-Driven Visual Merchandising Insights within the Textile Sector.

V KR, DM Pon Reka - International Journal of Intelligent …, 2024 - search.ebscohost.com
The main goal of this study is to improve the effectiveness of customer prediction in order to
benefit businesses. To achieve this objective, the research focuses on addressing two main …

Feature Fused Attention Network for Acute Bilirubin Encephalopathy Classification

H Zhang, Z Wang - … 7th International Conference on Signal and …, 2022 - ieeexplore.ieee.org
Neonatal hyperbilirubinemia is a common clinical disorder that requires medical attention in
newborns. It may develop into acute bilirubin encephalopathy, which can further deteriorate …

[PDF][PDF] BiLSTM_SAE: A Hybrid Deep Learning Framework for Efficient Predictive Big Data Analytics System

S Goswami, A Kumar - 2023 - academia.edu
Big data has been utilized and attracted various researchers due to the phenomenal
increase in computational application which has developed an overwhelming flow of data …

Energy loss prediction in nonoriented materials using machine learning techniques: A novel approach

M Khan, M Afaq, IU Islam, J Iqbal… - Transactions on …, 2022 - Wiley Online Library
Traditional extrapolation performed by machine designers for energy loss estimation results
in the decrease of the overall efficiency of electrical machines. Therefore, state‐of‐the‐art …