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Selection of effective machine learning algorithm and Bot-IoT attacks traffic identification for internet of things in smart city
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Elsevier B.V.
, 2020 , Article)
Identifying cyber attacks traffic is very important for the Internet of things (IoT) security in smart city. Recently, the research community in the field of IoT Security endeavor hard to build anomaly, intrusion and cyber ...
Machine learning in the Internet of Things: Designed techniques for smart cities
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Elsevier B.V.
, 2019 , Article)
Machine learning is one of the emerging technologies that has grabbed the attention of academicians and industrialists, and is expected to evolve in the near future. Machine learning techniques are anticipated to provide ...
Breast cancer image classification using pattern-based Hyper Conceptual Sampling method
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Elsevier Ltd
, 2018 , Article)
The increase in biomedical data has given rise to the need for developing data sampling techniques. With the emergence of big data and the rise of popularity of data science, sampling or reduction techniques have been ...
A machine learning framework for enhancing digital experiences in cultural heritage
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Emerald Group Publishing Ltd.
, 2020 , Article)
Purpose: Digital tools have been used to document cultural heritage with high-quality imaging and metadata. However, some of the historical assets are totally or partially unlabeled and some are physically damaged, which ...
An integrated framework for the interaction and 3D visualization of cultural heritage
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Springer
, 2023 , Article)
In this study, the aim is to design and develop a 3D acquisition, visualization, and interaction framework to preserve cultural heritage and provide new ways to enable museum visitors and cultural audiences to virtually ...
Field data forecasting using lstm and bi-lstm approaches
(
MDPI
, 2021 , Article)
Water, an essential resource for crop production, is becoming increasingly scarce, while cropland continues to expand due to the world's population growth. Proper irrigation scheduling has been shown to help farmers improve ...
Analysis of customers' satisfaction with baby products: The moderating role of brand image
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Elsevier
, 2023 , Article)
The previous experience of customers is assessed by textual reviews and ratings to reflect their levels of satisfaction with the service or product. Online reviews and ratings have played a vital role to assess the performance ...
Arabic natural language processing for Qur'anic research: a systematic review
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Springer Nature
, 2023 , Article)
The Qur'an is a fourteen centuries old divine book in Arabic language that is read and followed by almost two billion Muslims globally as their sacred religious text. With the rise of Islam, the Arabic language gained ...
Machine learning for prediction of the uniaxial compressive strength within carbonate rocks
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Springer Science and Business Media Deutschland GmbH
, 2023 , Article)
The Uniaxial Compressive Strength (UCS) is an essential parameter in various fields (e.g., civil engineering, geotechnical engineering, mechanical engineering, and material sciences). Indeed, the determination of UCS in ...
CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children
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Elsevier
, 2023 , Article)
Dysgraphia is a neurological disorder that hinders the acquisition process of normal writing skills in children, resulting in poor writing abilities. Poor or underdeveloped writing skills in children can negatively impact ...