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السجلات المعروضة 51 -- 60 من 66
An integrated framework of data-driven, metaheuristic, and mechanistic modeling approach for biomass pyrolysis
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Elsevier
, 2022 , Article)
This study presents an integrated hybrid framework of data-driven (cascade forward neural network (CFNN)), metaheuristic (artificial bee colony (ABC)), and a mechanistic modeling (Aspen simulation) approach for the biomass ...
Urban resilience and livability performance of European smart cities: A novel machine learning approach
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Elsevier
, 2022 , Article)
Smart cities are centres of economic opulence and hope for standardized living. Understanding the shades of urban resilience and livability in smart city models is of paramount importance. This study presents a novel ...
State of charge estimation for a group of lithium-ion batteries using long short-term memory neural network
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Elsevier
, 2022 , Article)
The present paper estimates for the first time the State of Charge (SoC) of a high capacity grid-scale lithium-ion battery storage system used to improve the power profile in a distribution network. The proposed long ...
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 ...
Predictive ANN models for varying filler content for cotton fiber/PVC composites based on experimental load displacement curves
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Elsevier Ltd
, 2020 , Article)
In this paper, artificial neural network (ANN) models are developed to predict the load-displacement curves for better understanding the behavior of cotton fiber/polyvinyl chloride (PVC) composites. Series of experiments ...
Data-driven modeling to predict the load vs. displacement curves of targeted composite materials for industry 4.0 and smart manufacturing
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Elsevier Ltd
, 2021 , Article)
This work presents an approach for smart manufacturing focusing on Industry 4.0 to predict the load vs. displacement curve of targeted cotton fiber/Polypropylene (PP) composite materials while complying with the required ...
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 ...
Modeling of permeability impairment dynamics in porous media: A machine learning approach
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Elsevier
, 2023 , Article)
The prediction of clogging and permeability impairment dynamics in porous media is crucial for the optimization of various industrial and natural processes. This paper presents a novel machine learning-based approach for ...
Influence of Reaction Time in the Emotional Response of a Companion Robot to a Child’s Aggressive Interaction
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springer link
, 2020 , Article)
The quality of a companion robot’s reaction is important to make it acceptable to the users and to sustain interactions. Furthermore, the robot’s reaction can be used to train socially acceptable behaviors and to develop ...