UNT College of Engineering - 52 Matching Results

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open access

Automated extraction of attributes from natural language attribute-based access control (ABAC) Policies

Description: Article (1) developing a practical framework to extract authorization attributes of hierarchical ABAC system from natural language artifacts, and (2) generating a set of realistic synthetic natural language access control policies (NLACPs) to evaluate the proposed framework.
Date: January 21, 2019
Creator: Alohaly, Manar; Takabi, Hassan & Blanco, Eduardo
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open access

Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model

Description: Article is a study proposing an approach for blood cancer disease prediction using the supervised machine learning approach to perform blood cancer prediction with high accuracy using microarray gene data.
Date: January 19, 2022
Creator: Rupapara, Vaibhav; Rustam, Furqan; Aljedaani, Wajdi; Shahzad, Hina Fatima; Lee, Ernesto & Ashraf, Imran
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open access

Co-introduction of precipitate hardening and TRIP in a TWIP high-entropy alloy using friction stir alloying

Description: Article exploring friction stir alloying (FSA) to tune the microstructure and a composition of a TWIP high-entropy alloy by adding Ti, and thus activating site-specific deformation mechanisms that occur concomitantly in a single alloy. This approach presents a novel microstructural architecture to design alloys, an approach that combines and optimizes local compositions such that multiple deformation mechanisms can be activated to enhance engineering properties.
Date: January 15, 2021
Creator: Wang, Tianhao; Shukla, Shivakant; Gwalani, Bharat; Sinha, S.; Thapliyal, Saket; Frank, Michael et al.
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open access

Collaborative Research: SHF: Small: LEGAS: Learning Evolving Graphs At Scale

Description: Data management plan for the grant, "Collaborative Research: SHF: Small: LEGAS: Learning Evolving Graphs At Scale." This project aims to improve the computation efficiency of graph neural networks (GNNs), which are an emerging class of deep learning models on graphs, with many successful applications, such as, recommendation systems, drug discovery, social network analysis, and code vulnerability detection. This project aims to to design an efficient GNN framework via algorithm and system co-de… more
Date: 2024-01-01/2026-12-31
Creator: Ji, Yuede
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open access

CPS: Medium: Integrating sensors, controls, and ecotoxicology with decoupled aquaponics using brackish groundwater and desalination concentrate for sustainable food production

Description: Data management plan for the grant, "CPS: Medium: Integrating sensors, controls, and ecotoxicology with decoupled aquaponics using brackish groundwater and desalination concentrate for sustainable food production." This project aims to develop a cyber-physical system (CPS) testbed of integrated sensors, controls, machine learning, and ecotoxicology tools to engineer sustainable food production systems based on aquaculture using brackish water. The testbed includes an automated recirculating aqu… more
Date: 2023-01-01/2025-12-31
Creator: Acevedo, Miguel F.
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open access

Crystallographically degenerate B2 precipitation in a plastically deformed fcc-based complex concentrated alloy

Description: Article describes the development of bcc-ordered B2 and fcc phases manifested in three different orientation relationships (ORs) in the same microstructure: Kurdjumov–Sachs, Nishiyama–Wasserman and Pitsch.
Date: January 22, 2018
Creator: Choudhuri, Deep; Shukla, Shivakant; Green, Whitley; Gwalani, Bharat; Ageh, Victor; Banerjee, Rajarshi et al.
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open access

Detection of DDoS Attack in Software-Defined Networking Environment and Its Protocol-wise Analysis using Machine Learning

Description: Article describes how distributed-denial-of-service (DDoS) attacks can cause a great menace to numerous organizations and their stakeholders. The authors assert that the objective of this research work is to take into account a DDoS afflicted SDN specific dataset and detect the malicious traffic by using various machine learning algorithms namely., K-Nearest Neighbours, Logistic Regression, Multilayer Perceptron, Iterative Dichotomiser 3, and Stochastic Gradient Descent.
Date: January 10, 2022
Creator: Prasad, Ashwani; Prasad, Sanjana; Arockiasamy, Karmel; P, Karthika & Yuan, Xiaohui
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open access

Effect of Polymer Removal on the Morphology and Phase of the Nanoparticles in All-Inorganic Heterostructures Synthesized via Two-Step Polymer Infiltration

Description: This article uses iron oxide/alumina heterostructures formed by two-step infiltration of polystyrene-block-polyvinyl pyridine block copolymer with iron and aluminum precursors from the solution and vapor-phases, respectively, to show that the phase and morphology of iron oxide nanoparticles dramatically depend on the approach used to remove the polymer. The article extends the boundaries of structure manipulations in multicomponent heterostructures synthesized using polymer infiltration synthes… more
Date: January 28, 2021
Creator: Berman, Diana; Sha, Yuchen & Shevchenko, Elena V.
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open access

Electrochemical and Friction Characteristics of Metallic Glass Composites at the Microstructural Length-scales

Description: This article evaluates the phase-specific electrochemical and friction characteristics of a Zr-based mtallic glass composite, which comprised roughly of 40% by volume crystalline dendrites in an amorphous matrix.
Date: January 17, 2018
Creator: Ayyagari, Aditya; Hasannaeimi, Vahid; Singh Arora, Harpreet & Mukherjee, Sundeep
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open access

Fabrication of densified wood via synergy of chemical pretreatment, hot-pressing and post mechanical fixation

Description: Article describes examination of the appearance, color, chemical composition, and physiology and mechanical properties of densified Abies wood before and after densification treatment using a colorimeter, FTIR and mechanical testing machine.
Date: January 30, 2020
Creator: Shi, Jiangtao; Peng, Junyi; Huang, Qiongtao; Cai, Liping & Shi, Sheldon
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open access

Friction stir-based additive manufacturing

Description: This article is a review of friction stir additive manufacturing (FSAM) and additive friction stir deposition (AFSD) and provides a systems approach framework and a conceptual process model to guide researchers.
Date: January 18, 2022
Creator: Mishra, Rajiv; Haridas, Ravi Sankar & Agrawal, Priyanshi
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open access

Grid-based Coordinated Routing in Wireless Sensor Networks

Description: This paper discusses grid-based coordinated routing in wireless sensor networks and compares the energy available in the network over time for different grid sizes. The authors explore the quality of service of wireless sensor networks, how the coordinator nodes are elected, and the size of the grid area that will minimize the total energy consumption and extend the lifetime of the network.
Date: January 2007
Creator: Akl, Robert G. & Sawant, Uttara
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