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Data Augmentation for Intrusion Detection and Classification in Cloud Networks
( IEEE , 2021 , Conference Paper)Cloud computing is a paradigm that provides multiple services over the internet with high flexibility in a cost-effective way. However, the growth of cloud-based services comes with major security issues. Recently, machine ... -
Data Clustering Based on Community Structure in Mutual k-Nearest Neighbor Graph
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)Data clustering is a fundamental machine learning problem. Community structure is common in social and biological networks. In this article we propose a novel data clustering algorithm that uses this phenomenon in mutual ... -
Data Collection and Image Processing System for Ancient Arabic Manuscripts
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)This paper presents a general-purpose data collection system that combines a DSLR camera with directional LED lamps in order to capture a large quantity of high-resolution manuscript images in such a way as to maximize the ... -
Data concerning isometric lower limb strength of dominant versus not-dominant leg in young elite soccer players
( Elsevier Inc. , 2018 , Article)The present data article describes the isometric lower limb strength of dominant leg versus not-dominant leg measured with handheld dynamometer (HHD) in a sample of 31 young elite soccer players (age 16.42 ± 0.45 years; ... -
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 enrichment in fine-grained classification of aquatic macroinvertebrates
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)The types and numbers of benthic macroinverte-brates found in a water body reflect water quality. Therefore, macroinvertebrates are routinely monitored as a part of freshwater ecological quality assessment. The collected ... -
Data envelopment analysis and data mining to efficiency estimation and evaluation
( Emerald Group Publishing Ltd. , 2019 , Article)Purpose: This paper aims to assess the application of seven statistical and data mining techniques to second-stage data envelopment analysis (DEA) for bank performance. Design/methodology/approach: Different statistical ... -
Data extraction error in pharmaceutical versus non-pharmaceutical interventions for evidence synthesis: Study protocol for a crossover trial
( Elsevier , 2023 , Article)BackgroundData extraction is the foundation for research synthesis evidence, while data extraction errors frequently occur in the literature. An interesting phenomenon was observed that data extraction error tend to be ... -
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 applications in accounting: A review of the literature and organizing framework
( Elsevier Inc. , 2017 , Article)This paper explores the applications of data mining techniques in accounting and proposes an organizing framework for these applications. A large body of literature reported on specific uses of the important data mining ... -
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 structural and composition-related merits of gC3N4 nanofibres doped and undoped with Au/Pd at the atomic level for efficient catalytic CO oxidation
( Elsevier Inc. , 2019 , Article)Precise design of graphitic carbon nitride (gC3N4) nanostructures is of grand importance in different catalytic applications. This article emphasizes additional data on the fabrication of metal-free gC3N4 nanofibres ... -
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 ...
