Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Mechanical Engineering (20)
- Physical Sciences and Mathematics (19)
- Materials Science and Engineering (18)
- Electrical and Computer Engineering (16)
- Operations Research, Systems Engineering and Industrial Engineering (16)
-
- Chemical Engineering (11)
- Education (11)
- Architectural Engineering (9)
- Architecture (9)
- Construction Engineering (9)
- Civil and Environmental Engineering (8)
- Computer Engineering (8)
- Risk Analysis (8)
- Social and Behavioral Sciences (8)
- Environmental Design (7)
- Physics (7)
- Other Electrical and Computer Engineering (6)
- Petroleum Engineering (6)
- Aerospace Engineering (5)
- Other Materials Science and Engineering (5)
- Arts and Humanities (4)
- Business (4)
- Chemistry (4)
- Civil Engineering (4)
- Computational Engineering (4)
- Computer Sciences (4)
- Engineering Education (4)
- Nanoscience and Nanotechnology (4)
- Institution
-
- California Polytechnic State University, San Luis Obispo (18)
- Universitas Indonesia (15)
- SASTRA Deemed to be University (14)
- University of Nebraska - Lincoln (8)
- West Virginia University (6)
-
- University of New Mexico (5)
- Chapman University (4)
- The British University in Egypt (4)
- American University in Cairo (3)
- Clemson University (3)
- University of South Alabama (3)
- Association of Arab Universities (2)
- Louisiana State University (2)
- Tashkent State Technical University (2)
- Technological University Dublin (2)
- The University of Akron (2)
- University of Kentucky (2)
- Cal Poly Humboldt (1)
- City University of New York (CUNY) (1)
- Claremont Colleges (1)
- Dartmouth College (1)
- Faculty of Engineering, Mansoura University (1)
- Florida Institute of Technology (1)
- Georgia Southern University (1)
- Harrisburg University of Science and Technology (1)
- LSU New Orleans (1)
- Michigan Technological University (1)
- Murray State University (1)
- National Louis University (1)
- Old Dominion University (1)
- Keyword
-
- ASET (7)
- RSET (7)
- Fire Dynamics Simulator (FDS) (6)
- Machine Learning (6)
- Performance Based Design (6)
-
- Artificial Intelligence (5)
- Life Safety Code (4)
- Corrosion (3)
- Deep Learning (3)
- Machine learning (3)
- CCUS (2)
- Code (2)
- Computer Vision (2)
- Construction (2)
- Engineering (2)
- Engineering Education (2)
- Food safety (2)
- Generative AI (2)
- Neural Network (2)
- Neural Networks (2)
- Petroleum Engineering (2)
- Response Surface Methodology (2)
- Robotics (2)
- Techno-Economic (2)
- 21st Century Skills (1)
- 3D laser scanning (1)
- 3D-Printing (1)
- : Nonprofit (1)
- AC load flow (1)
- ADCIRC (1)
- Publication
-
- Theses and Dissertations (18)
- Journal of Materials Exploration and Findings (13)
- Fire Protection Engineering: Culminating Experience Project Reports (10)
- Durham School of Architectural Engineering and Construction: Faculty Publications (7)
- Graduate Theses, Dissertations, and Problem Reports (ETD) (6)
-
- Engineering Faculty Articles and Research (4)
- Master's Theses (4)
- Optical Science and Engineering ETDs (4)
- All Theses (2)
- Articles (2)
- Chemical Technology, Control and Management (2)
- College of Engineering Summer Undergraduate Research Program (2)
- Dissertations (2)
- Graduate Theses and Dissertations (2019 - present) (2)
- Honors Theses (2)
- LSU Doctoral Dissertations (2)
- Petroleum Engineering and Gas (2)
- All Dissertations (1)
- An-Najah University Journal for Research - B (Humanities) (1)
- Branch Mathematics and Statistics Faculty and Staff Publications (1)
- CMC Senior Theses (1)
- CSID Journal of Infrastructure Development (1)
- Cal Poly Humboldt theses and projects (1)
- Center for Coastal and Ocean Mapping (1)
- College of Graduate Studies: Theses & Dissertations (1)
- Computer Science (1)
- Computer Science and Computer Engineering Undergraduate Honors Theses (1)
- Computer Science and Engineering Theses - Archive (1)
- Computer Science and Engineering Theses and Dissertations (1)
- Construction Management (1)
- Publication Type
Articles 121 - 127 of 127
Full-Text Articles in Other Engineering
Machine-Learning-Assisted Design Of Deep Eutectic Solvents Based On Uncovered Hydrogen Bond Patterns, Usman Lame Abbas, Yuxuan Zhang, Joseph Tapia, Md Selim, Jin Chen, Jian Shi, Qing Shao
Machine-Learning-Assisted Design Of Deep Eutectic Solvents Based On Uncovered Hydrogen Bond Patterns, Usman Lame Abbas, Yuxuan Zhang, Joseph Tapia, Md Selim, Jin Chen, Jian Shi, Qing Shao
Markey Cancer Center Faculty Publications
Non-ionic deep eutectic solvents (DESs) are non-ionic designer solvents with various applications in catalysis, extraction, carbon capture, and pharmaceuticals. However, discovering new DES candidates is challenging due to a lack of efficient tools that accurately predict DES formation. The search for DES relies heavily on intuition or trial-and-error processes, leading to low success rates or missed opportuni- ties. Recognizing that hydrogen bonds (HBs) play a central role in DES formation, we aim to identify HB features that distinguish DES from non-DES systems and use them to develop machine learning (ML) models to discover new DES systems. We first analyze the …
Stability Analysis Of Vertical Industrial Pressure Vessel Resting On Load Cells Subjected To A Seismic Load., Kameron W. Nez
Stability Analysis Of Vertical Industrial Pressure Vessel Resting On Load Cells Subjected To A Seismic Load., Kameron W. Nez
College of Graduate Studies: Theses & Dissertations
Instability of structures, such as large vertical pressure vessels, is always an issue under the seismic load. In this current work, the acceleration that causes instability for a vertical pressure vessel has been determined experimentally using scaled models. This instability is caused by the tipping of the tall structure that is not completely fixed to the ground. This method is applied for three different sizes of pressure vessels, representing 50 CuFt to 1100 CuFt full scale models. These experimental results are compared with theoretical models. Using dimensional analysis, the accelerations that will cause the instability in the actual full-size models …
Draft Makerspace Optimization And Procedure For The University Of Northern Iowa And Cedar Falls, Andrew Nii Anang
Draft Makerspace Optimization And Procedure For The University Of Northern Iowa And Cedar Falls, Andrew Nii Anang
Graduate Research Papers
The University of Northern Iowa (UNI) Makcrspace is a dynamic, communal setting created to encourage members of the community at large to be creative, innovative and engage in hands-on learning. Access to a variety of hand and power tools as well as state-of-the-art technologies is available at this cutting-edge facility. The Makerspace promotes a culture of experimentation and entrepreneurship while offering assistance for multidisciplinary initiatives. The Makerspace incorporates real-world, project-based learning experience, greatly improving UNI's educational environment. It enhances the university's reputation for encouraging innovation and research by drawing in potential students and community members who are interested in cutting-edge …
Machine Learning-Driven Quantification Of Co₂ Plume Dynamics At Ibdp Sites Using Microseismic Data, Ikponmwosa Bright Iyegbekedo
Machine Learning-Driven Quantification Of Co₂ Plume Dynamics At Ibdp Sites Using Microseismic Data, Ikponmwosa Bright Iyegbekedo
Graduate Theses, Dissertations, and Problem Reports (ETD)
This thesis delves into the utilization of machine learning methodologies to quantify the spatial extent of CO₂ plumes by leveraging microseismic data obtained from the Illinois Basin Decatur Project (IBDP) site spanning November 2011 to June 2018. This initiative, focused on the geological sequestration of carbon dioxide, furnishes a unique and comprehensive dataset comprising well logs, microseismic activity records, and CO₂ injection metrics, all crucial for quantifying the subsurface CO₂ saturation plume dynamics. The primary objective is to forecast the temporal evolution of CO₂ saturation plumes in the subsurface, a critical undertaking for ensuring both the environmental integrity and operational …
Mouralherwaqh Coastal Wetland Road Crossing Da'luk, Romel Robinson Ii
Mouralherwaqh Coastal Wetland Road Crossing Da'luk, Romel Robinson Ii
Cal Poly Humboldt theses and projects
The integration of Indigenous and Western science plays an essential role in Tribally led collaborations for land management. This process of woven sciences is rooted in reciprocal relations and partnerships guided by Tribal Nations. Our cohort was invited by Wiyot Tribal Representatives to investigate a culvert located within the wetlands of Mouralherwaqh— a parcel of land reacquired by the Wiyot Tribe in 2022. This document seeks to share our experience and analysis as part of the Wiyot Tribe’s broader journey in navigating ecocultural restoration projects within Mouralherwaqh. The four community interests we investigated for the wetland crossing included a resized …
Analyzing Imprecise Data From Wireless Temperature Sensor, Usama Afzal, Muhammad Aslam, Muhammad Ahmed Shehzad, Florentin Smarandache
Analyzing Imprecise Data From Wireless Temperature Sensor, Usama Afzal, Muhammad Aslam, Muhammad Ahmed Shehzad, Florentin Smarandache
Branch Mathematics and Statistics Faculty and Staff Publications
Various sensors play an important role in the monitoring and development of robotic technology. We present a contemporary statistical analysis method for evaluating datasets generated by robotic systems. Specifically, this data set originates from the physical structure of the robot and is acquired by a wireless temperature sensor. The data collection process spans a temporal period of 1 to 10 hours during the operational period of the robot. The collected data is subjected to a rigorous analysis using neutrosophic methodology. To facilitate this, a modern neutrosophic formula has been devised, drawing on definitions established within the field. To benchmark the …
Adaptive Trust Management For Data Poisoning Attacks In Mec-Based Fl Infrastructures, Abeer Hamdy Dr.
Adaptive Trust Management For Data Poisoning Attacks In Mec-Based Fl Infrastructures, Abeer Hamdy Dr.
Computer Science
Federated Learning (FL) has emerged as a powerful paradigm, allowing multiple decentralized clients to collaboratively train a machine learning model without sharing their raw data. When combined with Multi-access Edge Computing (MEC), it enhances the utilization of computation and storage resources at the edge, enabling local data training on edge nodes. Such integration reduces latency and facilitates real time processing and decision-making while ensuring data privacy. However, this decentralized approach introduces security and trust challenges, as models can be compromised through data poisoning attacks, such as label flipping attacks. The trustworthiness of these edge nodes and the integrity of their …