Browsing Academic by Title
Now showing items 5271-5290 of 25460
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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 petroleum based stock markets and GAUSS codes for SAMEM
( Elsevier Inc. , 2017 , Article)This article includes a unique data set of a balanced daily (Monday, Tuesday and Wednesday) for oil and natural gas volatility and the oil rich economies’ stock markets for Saudi Arabia, Qatar, Kuwait, Abu Dhabi, Dubai, ... -
Dataset for transient 3D simulations of turbulent premixed flames of Gas-to-Liquid (GTL) fuel
( Elsevier , 2021 , Other)A fan-stirred combustion vessel is used to study the premixed turbulent combustion of diesel, Gas to Liquids (GTL) and 50/50 diesel-GTL and to generate these datasets. A numerical simulation approach is implemented for ... -
Dataset of allelopathic effects of Casuarina equisetifolia-L leaf aquatic extract on seed germination and growth of selected plant crops
( Elsevier Inc. , 2019 , Article)In agricultural fields that are surrounded by dunes, the Casuarina tree is usually used as windbreaks. In addition, it plays a significant role in inhibiting nearby vegetation growth. In this dataset, the effect of Casuarina ... -
Dataset on the new recipe for the preparation of nanoporous carbon nanorods using resorcinol-formaldehyde xerogels
( Elsevier Inc. , 2018 , Article)The data presented in this article are related to the research article entitled “Novel controlled synthesis of nanoporous carbon nanorods from resorcinol-formaldehyde xerogels" (Awadallah-F and Al-Muhtaseb, 2017) [1]. This ... -
Datasets for recognition of aggressive interactions of children toward robotic toys
( Elsevier , 2021 , Other)The data is related to unwanted interactions between a person and a small robotic toy based on acceleration sensor embedded within the robotic toy. Three toys were considered namely, a stuffed panda, a stuffed robot, and ... -
Date Palm Cellulose Nanocrystals (CNCs)/Polyamide Composites: Tailoring Morphological, Mechanical, and Thermal Properties
( MDPI , 2023 , Article)In the present study, polyamide (PA) was successfully reinforced with cellulose nanocrystal (CNC) prepared from date palm leaves using two different techniques, electrospinning and the solution casting method, and a ... -
Date palm fibre filled recycled ternary polymer blend composites with enhanced flame retardancy
( Elsevier Ltd , 2017 , Article)Flammability of recycled polypropylene (PP)/low density polyethylene (LDPE)/high density polyethylene (HDPE) ternary blends containing date palm fibres is investigated in this study. Melt blending is used for the composite ... -
The date palm microbiome: A review
( Elsevier , 2023 , Article)Date palm (Phoenix dactylifera) is a significant crop grown in warm, tropical, and arid regions. The microorganisms associated with plants can have positive and negative effects on the growth and yield of crops. Thus, there ...
