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السجلات المعروضة 2126 -- 2145 من 7857
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Data confidentiality in cloud-based pervasive system
( Association for Computing Machinery , 2017 , Conference Paper)Data confidentiality and privacy is a serious concern in pervasive systems where cloud computing is used to process huge amount of data such as matrix multiplications typically used in HPC. Due to limited processing ... -
Data driven feature extraction for gender classification using multi-script handwritten texts
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)This paper presents a study on assessing the effectiveness of machine learned features to predict gender of writers from images of handwriting. Pre-trained Convolutional Neural Networks have been employed as feature ... -
Data for benchmarking low-cost, 3D printed prosthetic hands
( Elsevier Inc. , 2019 , Article)In this article, three different data sets are presented to evaluate a representative of openly accessible 3D printed prosthetic hand. The first data set includes grasping force measurements of human hand and low-cost 3D ... -
Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations
( Elsevier , 2020 , Article)Recently, tremendous interest has been devoted to develop data fusion strategies for energy efficiency in buildings, where various kinds of information can be processed. However, applying the appropriate data fusion strategy ... -
Data Interpretation Framework for Pile Thermal Integrity Testing
( Qatar University Press , 2023 , Conference Paper)Given the inherent nature of how deep cast in-situ concrete foundations (piles and diaphragm walls) are constructed, evaluating their integrity is difficult. Several well-established methods for testing integrity have been ... -
Data mining for pesticide decontamination using heterogeneous photocatalytic processes
( Elsevier Ltd , 2021 , Article)Pesticides are chemical compounds used to kill pests and weeds. Due to their nature, pesticides are potentially toxic to many organisms, including humans. Among the various methods used to decontaminate pesticides from the ... -
Data Mining, Reasoning and Incremental Information Retrieval through Non Enlargeable Rectangular Relation Coverage
( Springer Berlin / Heidelberg , 2009 , Conference Paper)Association rules extraction from a binary relation as well as reasoning and information retrieval are generally based on the initial representation of the binary relation as an adjacency matrix. This presents some ... -
Data Obfuscation for Privacy and Confidentiality in Cloud Computing
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)This paper proposes a data obfuscation approach in outsourcing matrix multiplication to cloud computing. It is primarily based on splitting the rows and columns of matrices to alter their actual dimension coupled with ... -
Data of the design of solar assisted district cooling systems
( Elsevier , 2020 , Other)The collected datasets are relevant and related to Optimization of Design and Operation of Solar Assisted District Cooling Systems [1] paper. Part of the data is collected on the main and common components of the system. ... -
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-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 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 ... -
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 ...
