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السجلات المعروضة 6663 -- 6682 من 50656
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Data on the catalytic CO oxidation and CO2 reduction durability on gC3N4 nanotubes Co-doped atomically with Pd and Cu
( Elsevier Inc. , 2019 , Article)Understanding the fabrication mechanism of graphitic carbon nitride (gC3N4) nanostructures is critical for tailoring their physicochemical properties for various catalytic applications. In this article, we provide deep ... -
Data on the fabrication of hybrid calix [4]arene-modified natural bentonite clay for efficient selective removal of toxic metals from wastewater at room temperature
( Elsevier Inc. , 2021 , Other)Fresh water resources on the earth are less than 0.2%; meanwhile, around 80% of the freshwater is consumed daily in agriculture, industries, and household activities [1–2]. There is an essential need to develop efficient ... -
Data on the impact of an object with different thicknesses of different soft materials at different impact velocities on a dummy head
( Elsevier Inc. , 2019 , Article)The purpose of this data is to investigate the effect of different thicknesses of different soft materials samples added to an object on the resultant head acceleration of a developed dummy head upon impact. The object was ... -
Data on the impact of objects with different shapes, masses, and impact velocities on a dummy head
( Elsevier Inc. , 2019 , Article)In this article, a data generated from impacts of objects with different shapes, masses, and impact velocities on a developed dummy head. The mass considered was in the range of 0.3-0.5 kg while the shapes considered were ... -
Data on the synthesis and characterizations of carboxylated carbon-based catalyst from eucalyptus as efficient and reusable catalysts for hydrolysis of eucalyptus
( Elsevier Inc. , 2020 , Other)The presented article reports the preparation and characterization of heterogeneous carbon catalyst enriched with carboxylic group denoted as (ECS) from Eucalyptus as an efficient catalyst for the hydrolysis of woody ... -
Data reproducibility issues and their potential impact on conclusions from evidence syntheses of randomized controlled trials in sleep medicine
( Elsevier , 2022 , Article)In this study, we examined the data reproducibility issues in systematic reviews in sleep medicine. We searched for systematic reviews of randomized controlled trials published in sleep medicine journals. The metadata in ... -
DATA VISUALIZATION FOR SUPPORTING INFORMED DECISION MAKING FOR SUSTAINABLE ALTERNATIVE FUEL BUS TECHNOLOGIES
(06-2 , Master Thesis)Compared to other transportation approaches, public transportation produces the most greenhouse gas emissions. There is a pressing need to comply with national guidelines outlined in Qatar's National Development Strategy ... -
Data-Based Fault Diagnosis Model Using a Bayesian Causal Analysis Framework
( World Scientific Publishing Co. Pte Ltd , 2018 , Article)This paper provides a comprehensive data-driven diagnosis approach applicable to complex manufacturing industries. The proposed approach is based on the Bayesian network paradigm. Both the implementation of the Bayesian ... -
Data-driven curation, learning and analysis for inferring evolving IoT botnets in the wild
( Association for Computing Machinery , 2019 , Conference Paper)The insecurity of the Internet-of-Things (IoT) paradigm continues to wreak havoc in consumer and critical infrastructure realms. Several challenges impede addressing IoT security at large, including, the lack of IoT-centric ... -
Data-driven fault detection and isolation of nonlinear systems using deep learning for Koopman operator
( ISA - Instrumentation, Systems, and Automation Society , 2023 , Article)This paper proposes a data-driven actuator fault detection and isolation approach for the general class of nonlinear systems. The proposed method uses a deep neural network architecture to obtain an invariant set of basis ... -
Data-Driven Intelligent Model for Sale Price Prediction and Monitoring of a Building
( Springer , 2020 , Book chapter)The construction cost forecasting and monitoring plays an important role in a building condition assessment. The construction cost of a building (CCB) not only depends on the method of construction, equipment, labor, and ... -
Data-Driven Koopman Operator Based Cyber-Attacks for Nonlinear Control Affine Cyber-Physical Systems
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)This paper studies the data-driven implementation of stealthy cyber-attacks for a class of nonlinear cyber-physical systems (CPS). In particular, we consider and study zero dynamics and covert cyber-attacks. By utilizing ... -
Data-Driven Load Frequency Control Based on Multi-Agent Reinforcement Learning With Attention Mechanism
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)With the massive penetration of renewable energy, traditional reinforcement learning algorithms suffer from slow convergence and area control error (ACE) in interconnected power systems. This paper proposes data-driven ... -
Data-driven modeling to predict the load vs. displacement curves of targeted composite materials for industry 4.0 and smart manufacturing
( 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 ... -
DATA-DRIVEN OCCUPANCY DETECTION BY EMPLOYING DEEP AND TRANSFER LEARNING APPROACHES
(2023 , Master Thesis)Building occupancy information could aid energy preservation while maintaining the end-user comfort level. Energy conservation becomes essential since energy resources are scarce and human dependency on appliances is only ... -
Data-Driven Optimization for Dynamic Shortest Path Problem Considering Traffic Safety
( IEEE , 2022 , Article)Traffic congestion is an inescapable problem that frustrates drivers in megacities. Although there is hardly a way to eliminate the congestion, it is possible to mitigate the impact through predictive methods. This paper ... -
Data-driven sensor fault detection and isolation of nonlinear systems: Deep neural-network Koopman operator
( John Wiley and Sons Inc , 2023 , Article)This paper proposes a data-driven sensor fault detection and isolation approach for the general class of nonlinear systems. The proposed method uses deep neural network architecture to obtain an invariant set of basis ... -
Database Facilitated Screening with NMR Spectroscopy Analysis for Drug Detection
( IEEE , 2019 , Conference Paper)© 2019 IEEE. Drug detection plays the key role in the enforcement of drug regulations. Various detection methods for them are thus developed. However, in most investigations, the most time-consuming and tedious part is not ... -
Dataset for influence of visual and haptic feedback on the detection of threshold forces in a surgical grasping task
( Elsevier , 2022 , Dataset)The data is related to minimal force thresholds perception in robotic surgical grasping applications. The experimental setup included an indenter-based haptic device acting on the fingertip of a participant and a visual ... -
Dataset for measured viscosity of Polyalpha-Olefin- boron nitride nanofluids
( Elsevier , 2021 , Dataset)Datasets of measured viscosity of Polyalpha-Olefin- boron nitride (PAO/hBN) nanofluids are reported. An AR-G2 rheometer (from TA Instruments) experimental setup is used for measuring the rheological property of PAO/hBN ...
