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Akademický článek

AI and Big Data approaches to addressing the opioid crisis: a scoping review protocol

Autor: Kasey Claborn, Scott Graham, Maaz Amjad, Katie McCormick

Publikováno v: BMJ Open, Vol 14, Iss 8 (2024)

Introduction This paper outlines the steps necessary to assess the latest developments in artificial intelligence (AI) as well as Big Data technologies and their relevance to the opioid crisis. Fatal opioid overdoses have risen to over 82 998 annuall

Externí odkaz: https://doaj.org/article/e1268ec928fa4804965b83934a5cf7f5

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Akademický článek

An interpretable machine learning framework for opioid overdose surveillance from emergency medical services records.

Autor: S Scott Graham, Savannah Shifflet, Maaz Amjad, Kasey Claborn

Publikováno v: PLoS ONE, Vol 19, Iss 1, p e0292170 (2024)

The goal of this study is to develop and validate a lightweight, interpretable machine learning (ML) classifier to identify opioid overdoses in emergency medical services (EMS) records. We conducted a comparative assessment of three feature engineeri

Externí odkaz: https://doaj.org/article/f9c5312d072c4148b09d1149d5b2181f

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Akademický článek

Threatening Language Detection and Target Identification in Urdu Tweets

Autor: Maaz Amjad, Noman Ashraf, Alisa Zhila, Grigori Sidorov, Arkaitz Zubiaga, Alexander Gelbukh

Publikováno v: IEEE Access, Vol 9, Pp 128302-128313 (2021)

Automatic detection of threatening language is an important task, however, most of the existing studies focused on English as the target language, with limited work on low-resource languages. In this paper, we introduce and release a new dataset for

Externí odkaz: https://doaj.org/article/6fc5021a9bc64850826cdd82f3fc8a10

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Akademický článek

Analysis and Design of Piled Raft Foundation Taking into Account Interaction Factors

Autor: Irfan Jamil, Irshad Ahmad, Shahid Ali Khan, Wali Ullah, Maaz Amjad, Beenish Jehan Khan, Hassan Nasir

Publikováno v: Advances in Civil Engineering, Vol 2022 (2022)

In a combined piled raft foundation (CPRF) both raft and piles take their share of the total load applied. However, in practice, the contribution of a raft in taking load is usually ignored and the load is assumed to be supported on piles. This way o

Externí odkaz: https://doaj.org/article/c95ffa87550c454d937a3a4f0d986ee6

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Akademický článek

Prediction of Liquefaction-Induced Lateral Displacements Using Gaussian Process Regression

Autor: Mahmood Ahmad, Maaz Amjad, Ramez A. Al-Mansob, Paweł Kamiński, Piotr Olczak, Beenish Jehan Khan, Arnold C. Alguno

Publikováno v: Applied Sciences, Vol 12, Iss 4, p 1977 (2022)

During severe earthquakes, liquefaction-induced lateral displacement causes significant damage to designed structures. As a result, geotechnical specialists must accurately estimate lateral displacement in liquefaction-prone areas in order to ensure

Externí odkaz: https://doaj.org/article/8b82636d60844c3bafac943007d806a0

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Akademický článek

Prediction of Pile Bearing Capacity Using XGBoost Algorithm: Modeling and Performance Evaluation

Autor: Maaz Amjad, Irshad Ahmad, Mahmood Ahmad, Piotr Wróblewski, Paweł Kamiński, Uzair Amjad

Publikováno v: Applied Sciences, Vol 12, Iss 4, p 2126 (2022)

The major criteria that control pile foundation design is pile bearing capacity (Pu). The load bearing capacity of piles is affected by the various characteristics of soils and the involvement of multiple parameters related to both soil and foundatio

Externí odkaz: https://doaj.org/article/87c7ab7b3c3e4ca1902d648834d83b92

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