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Articles 4561 - 4590 of 75064
Full-Text Articles in Engineering
Backup Subscription Scheme For Differential Protection Using Iec61850-9-2 Sampled Values, Mohammad Khalili Katoulaei, Aamir Rahmani, Hans Kristian Høidalen, Irina Oleinikova, Bruce A. Mork
Backup Subscription Scheme For Differential Protection Using Iec61850-9-2 Sampled Values, Mohammad Khalili Katoulaei, Aamir Rahmani, Hans Kristian Høidalen, Irina Oleinikova, Bruce A. Mork
Michigan Tech Publications
In IEC-61850-based digital substations, the protection IED’s performance is dependent on merging unit’s vendor implementation, communication networks, and measurement circuit’s health conditions. As the process bus Sampled Value(SV) enables the availability of all sensor data on a communication network, this paper proposes a Backup Subscription scheme (BSS) for a transformer differential protection (87T, PDIF) function. BSS utilizes sensor data in digital substations to achieve a flexible protection scheme using a dynamic subscription feature. Thus, in case of failure of one sensor, differential protection would be maintained. The paper presents the implementation and verification of a prototyped scheme using a Hardware-in-the-loop …
Pozzolanic Reactivity Of Carbonated High-Calcium Fly Ash: A Mechanism Study, Gao Deng, Nannan Zhang, Wenyu Liao, Hongyan Ma, Yongjia He, Linnu Lu, Lingyu Chi
Pozzolanic Reactivity Of Carbonated High-Calcium Fly Ash: A Mechanism Study, Gao Deng, Nannan Zhang, Wenyu Liao, Hongyan Ma, Yongjia He, Linnu Lu, Lingyu Chi
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
This research investigates the impact of accelerated carbonation treatment on the pozzolanic reactivity of high-calcium fly ash (HFA) by monitoring the reaction heat of HFA/carbonated HFA (CFA)-calcium hydroxide (CH) blends and elucidates the underlying factors influencing the pozzolanic reactivity. The results indicate that in HFA/CFA-CH blends, CFA exhibits a comparable pozzolanic reactivity to that of HFA. This is attributed to the carbonation products accelerating the formation of MonoCarb aluminate (main) and C-S-H, compensating for the reduced heat resulting from the diminished highly reactive components after the carbonation treatment. Additionally, the increased surface area due to carbonation treatment is favorable for …
Optimizing The Physical Properties Of Biochar For Co2 Adsorption Using Resonant Vibrations, Amirhosein Riahi, Richard Ladouceur
Optimizing The Physical Properties Of Biochar For Co2 Adsorption Using Resonant Vibrations, Amirhosein Riahi, Richard Ladouceur
Mining Engineering
Among various Carbon Capture and Sequestration (CCS) technologies, significant emphasis has been placed on biochar as an effective post-combustion CO2 capture method. Biochar demonstrates potential as a technically effective method for stabilizing carbon. However, the efficacy of CCS based on adsorption phenomenon depends on factors such as the CO2 uptake of the adsorbent, kinetic rates, and cyclic adsorption. The study shows that Low-Frequency High Amplitude (LFHA) resonant vibratory mixing improves the physical characteristics and adsorption properties of hemp biochar. According to the results of an analysis of variance (ANOVA), increasing both the mass of biochar and the intensity of resonant …
Nanoparticles In Drilling Fluids: A Review Of Types, Mechanisms, Applications, And Future Prospects, Vasanth Gokapai, Prasad Pothana, Kegang Ling
Nanoparticles In Drilling Fluids: A Review Of Types, Mechanisms, Applications, And Future Prospects, Vasanth Gokapai, Prasad Pothana, Kegang Ling
Petroleum Engineering Student Publications
Nanofluids have gained significant attention as a promising solution to several challenges in drilling operations. Nanoparticles, due to their exclusive properties such as high specific surface area, strong adsorption potential, and excellent thermal conductivity, offer significant potential to improve the efficiency and performance of drilling processes. Regardless of the advancements in drilling fluids and techniques that have improved borehole stability, hole cleaning, and extreme operational condition (HTHP) management, limitations still persist. This review discusses a detailed summary of existing research on the application of nanofluids in drilling, exploring their types, properties, and specific uses in areas such as fluid loss …
Advancements In The Programmable Hyperspectral Seawater Scanner Measurement Technology For Enhanced Detection Of Harmful Algal Blooms, John J. Langan, Jungyun Bae
Advancements In The Programmable Hyperspectral Seawater Scanner Measurement Technology For Enhanced Detection Of Harmful Algal Blooms, John J. Langan, Jungyun Bae
Michigan Tech Publications
The Programmable Hyperspectral Seawater Scanner (PHySS) represents a significant breakthrough in monitoring harmful algal blooms (HABs), specifically targeting the “Florida red tide” caused by Karenia brevis. By utilizing a Fourth-Derivative Spectral Similarity Index (SI), this study establishes a strong positive correlation between the SI and phytoplankton counts, underscoring the PHySS’s potential for early detection and effective management of HABs. Our findings suggest that the PHySS could act as a predictive tool, offering crucial lead time to mitigate the ecological and economic repercussions of blooms. However, this study also identifies certain limitations of the PHySS technology, such as its inability to …
Atmospheric Waves Experiment (Awe) Advanced Mesopheric Temperature Mapper (Amtm) Optomechanical Design, Fabrication, And Environmental Test, Tyrel C. Rupp, James Champagne, Greg Hopkins, Roy Esplin, Burt Lamborn, Erik Syrstad, Jordan Jacobson
Atmospheric Waves Experiment (Awe) Advanced Mesopheric Temperature Mapper (Amtm) Optomechanical Design, Fabrication, And Environmental Test, Tyrel C. Rupp, James Champagne, Greg Hopkins, Roy Esplin, Burt Lamborn, Erik Syrstad, Jordan Jacobson
Space Dynamics Laboratory Publications
The AWE AMTM is a widefield of view (WFOV) infrared imaging radiometer designed for use in measuring the P1(2) and P1(4) emission lines of the earth’s OH layer to determine temperature and produce images of gravity waves. The sensor was designed, built, and characterized by Utah State University (USU) Space Dynamics Laboratory (SDL) and has been externally mounted to the International Space Station (ISS) looking nadir to collect images for analysis for a minimum of two years. The Opto-Mechanical Assembly (OMA) consists of four identical imaging telescopes, each comprised of a fisheye lens, a field lens, …
Unh Ocean Discovery Lego Model Instructions - C2402 R/V Gulf Surveyor - Unh Ccom/Jhc, William F. Fessenden, Colleen Mitchell
Unh Ocean Discovery Lego Model Instructions - C2402 R/V Gulf Surveyor - Unh Ccom/Jhc, William F. Fessenden, Colleen Mitchell
Center for Coastal and Ocean Mapping
Commissioned in 2016, R/V Gulf Surveyor, or “RVGS" for short, is 48-foot research vessel operated by the UNH Center for Coastal and Ocean Mapping / NOAA-UNH Joint Hydrographic Center (CCOM/JHC). A vital tool for the Center’s research and academic programs, her twin screw propulsion and catamaran-style hull, combined with a state-of-the-art hull design, provide for excellent maneuverability and stability, and is an optimal launch for nearshore ocean mapping. In addition to its multibeam sonar mapping systems, the RVGS can also be equipped with sidescan sonar, seismic systems, and thanks to its A-frame and portside crane, is an effective platform for …
Hydrogen Underground Storage For Grid Electricity Storage: An Optimization Study On Techno-Economic Analysis, Yunzhi Chen, Daniel Hill, Blake Billings, John Hedengren, Kody Powell
Hydrogen Underground Storage For Grid Electricity Storage: An Optimization Study On Techno-Economic Analysis, Yunzhi Chen, Daniel Hill, Blake Billings, John Hedengren, Kody Powell
Faculty Publications
This study performs a techno-economic analysis of hydrogen underground storage systems for grid electricity storage, evaluating their economic viability at the plant scale using dynamic optimization. It explores the feasibility of various system configurations and revenue models in the context of volatile electricity prices and the necessity for multiple revenue streams. The hypothesis tested is that large-scale hydrogen storage, despite its low round-trip efficiency, can be economically viable with the right mix of revenue streams. This study uses scenario-based analysis to assess the impacts of different system configurations, including engaging in time-shifting arbitrage, ancillary service markets and blending hydrogen with …
Efficient Phosphate Removal From Water Using Ductile Cast Iron Waste: A Response Surface Methodology Approach, Mai Hassan Dr., Nada Alkhashab Eng., Ahmed Osman Dr., Dalia A. Ali Eng
Efficient Phosphate Removal From Water Using Ductile Cast Iron Waste: A Response Surface Methodology Approach, Mai Hassan Dr., Nada Alkhashab Eng., Ahmed Osman Dr., Dalia A. Ali Eng
Chemical Engineering
Water scarcity is a critical issue worldwide. This study explores a novel method for addressing this issue by using ductile cast iron (DCI) solid waste as an adsorbent for phosphate ions, supporting the circular economy in water remediation. The solid waste was characterized using XRD, XRF, FTIR, and particle size distribution. Wastewater samples of different phosphate ion concentrations are prepared, and the solid waste is used as an adsorbent to adsorb phosphate ions using different adsorbent doses and process time. The removal percentage is attained through spectrophotometer analysis and experimental results are optimized to get the optimum conditions using Design …
Pig Butchering In Cybersecurity: A Modern Social Engineering Threat, Sharon L. Burton, Pamela D. Moore
Pig Butchering In Cybersecurity: A Modern Social Engineering Threat, Sharon L. Burton, Pamela D. Moore
Publications
Pig butchering is an escalating cybersecurity threat that exploits social engineering to build trust and execute financial fraud. The relevance of this research problem lies in the growing incidence and sophistication of these scams, which have severe financial and psychological impacts on victims. The main purpose of this research is to uncover the methods used in pig butchering scams and their impact on individuals and businesses. The research focuses on digital platforms such as social media, dating apps, and professional networking sites, chosen for their wide user bases and the ease of establishing personal connections. The study period encompasses recent …
Efficient Phosphate Removal From Water Using Ductile Cast Iron Waste: A Response Surface Methodology Approach, Mai Hassan Roushdy Dr., Nada Amr El-Khashab Eng,, Ahmed Ibrahim Osman Dr., Dalia Amer Ali Dr.
Efficient Phosphate Removal From Water Using Ductile Cast Iron Waste: A Response Surface Methodology Approach, Mai Hassan Roushdy Dr., Nada Amr El-Khashab Eng,, Ahmed Ibrahim Osman Dr., Dalia Amer Ali Dr.
Chemical Engineering
Water scarcity is a critical issue worldwide. This study explores a novel method for addressing this issue by using ductile cast iron (DCI) solid waste as an adsorbent for phosphate ions, supporting the circular economy in water remediation. The solid waste was characterized using XRD, XRF, FTIR, and particle size distribution. Wastewater samples of different phosphate ion concentrations are prepared, and the solid waste is used as an adsorbent to adsorb phosphate ions using different adsorbent doses and process time. The removal percentage is attained through spectrophotometer analysis and experimental results are optimized to get the optimum conditions using Design …
Predictive Residual Neural Networks For Optical Trapping Of Small Particles, Nasim Mohammadi Estrakhri, Ponthea Zahraii, Saman Kashanchi, Nooshin M. Estakhri
Predictive Residual Neural Networks For Optical Trapping Of Small Particles, Nasim Mohammadi Estrakhri, Ponthea Zahraii, Saman Kashanchi, Nooshin M. Estakhri
Engineering Faculty Articles and Research
Optical tweezers provide a non-contact method to trap, move, and manipulate micro- and nano-sized objects. Using properly designed dielectric and plasmonic nanostructure configurations, optical tweezers have been tailored to create stable and precise trapping for nanoscale objects. Recent advances in numerical optimization techniques allow further enhancement in nanoscale optical traps through inverse optimization of such configurations. One of the main challenges in such optimization approaches is the time-consuming nature of full-wave simulation of nanostructures and postprocessing steps to extract optical forces. To address this challenge, we introduce a surrogate solver based on residual neural networks that can accurately predict the …
Moving Beyond Photovoltaics: Advancing And Scaling Concentrated Solar Power For The Future Of Energy, Tucker Donahue
Moving Beyond Photovoltaics: Advancing And Scaling Concentrated Solar Power For The Future Of Energy, Tucker Donahue
Portugal: Sustainability and Environmental Justice
This paper examines solar energy technologies, starting with photovoltaic (PV) systems, and then thoroughly evaluates Concentrated Solar Power (CSP), a newer technology that uses mirrors to focus sunlight onto a receiver. The paper includes a breakdown of the four types of CSP: Parabolic Trough Collectors (PTC), Solar Power Towers (SPT), Linear Fresnel Reflectors (LFR), and Solar Parabolic Dishes (SPD). Furthermore, the paper separates the CSP processes: collection, transfer, and storage of energy. Two case studies are included in this study: a small-scale CSP system in Portugal and a large-scale project in Italy. The paper discusses key recent improvements in parabolic …
Efficient Real-Time Droplet Tracking In Crop-Spraying Systems, Troung Nhut Huynh, Travis Burgers, Kim-Doang Nguyen
Efficient Real-Time Droplet Tracking In Crop-Spraying Systems, Troung Nhut Huynh, Travis Burgers, Kim-Doang Nguyen
Mechanical Engineering Faculty Publications
Spray systems in agriculture serve essential roles in the precision application of pesticides, fertilizers, and water, contributing to effective pest control, nutrient management, and irrigation. These systems enhance efficiency, reduce labor, and promote environmentally friendly practices by minimizing chemical waste and runoff. The efficacy of a spray is largely determined by the characteristics of its droplets, including their size and velocity. These parameters are not only pivotal in assessing spray retention, i.e., how much of the spray adheres to crops versus becoming environmental runoff, but also in understanding spray drift dynamics. This study introduces a real-time deep learning-based approach for …
Accurate Synthesis Of Dysarthric Speech For Asr Data Augmentation, Mohammad Soleymanpour, Michael T. Johnson, Rahim Soleymanpour, Jeffrey Berry
Accurate Synthesis Of Dysarthric Speech For Asr Data Augmentation, Mohammad Soleymanpour, Michael T. Johnson, Rahim Soleymanpour, Jeffrey Berry
Electrical and Computer Engineering Faculty Publications
Dysarthria is a motor speech disorder often characterized by reduced speech intelligibility through slow, uncoordinated control of speech production muscles. Automatic Speech recognition (ASR) systems can help dysarthric talkers communicate more effectively. However, robust dysarthria-specific ASR requires a significant amount of training speech, which is not readily available for dysarthric talkers. This paper presents a new dysarthric speech synthesis method for the purpose of ASR training data augmentation. Differences in prosodic and acoustic characteristics of dysarthric spontaneous speech at varying severity levels are important components for dysarthric speech modeling, synthesis, and augmentation. For dysarthric speech synthesis, a modified neural multi-talker …
H2d: Hierarchical Heterogeneous Graph Learning Framework For Drug-Drug Interaction Prediction, Ran Zhang, Xuezhi Wang, Sheng Wang, Kunpeng Liu, Yuanchun Zhou, Pengfei Wang
H2d: Hierarchical Heterogeneous Graph Learning Framework For Drug-Drug Interaction Prediction, Ran Zhang, Xuezhi Wang, Sheng Wang, Kunpeng Liu, Yuanchun Zhou, Pengfei Wang
Computer Science Faculty Publications and Presentations
Accurately predicting Drug-Drug Interactions (DDIs) is critical to designing effective drug combination therapies. Recently, Artificial Intelligence (AI)-powered DDI prediction approaches have emerged as a new paradigm. However, most existing methods oversimplify the complex hierarchical structure within molecules and overlook the multi-source heterogeneous information external to molecules, limiting their modeling and predictive capabilities. To address this, we propose a Hierarchical Heterogeneous graph learning framework for DDI prediction, namely H2D. H2D employs an internal-toexternal, local-to-global hierarchical perspective, exploiting intramolecular multi-granularity structures and inter-molecular biomedical interactions to mutually enhance across hierarchical levels. Extensive experimental results demonstrate H2D’s effectiveness on three …
Engineering Student Learning And Identity: Development Using Sociotechnical Analysis, Alex Yannelli, Fredy Herrarte
Engineering Student Learning And Identity: Development Using Sociotechnical Analysis, Alex Yannelli, Fredy Herrarte
College of Engineering Summer Undergraduate Research Program
This project examines the effect of sociotechnical thinking in the context of engineering core classes. Sociotechnical analysis is a problem-solving method that integrates social economic factors into a technical problem to mimic a “real world problem”. Our team analyzed 51 responses to a sociotechnical module from two Statics classes at Cal Poly. Responses were coded and themes identified using qualitative research methods and an online qualitative research software. Our team identified a relationship between engagement with the module and discussions of self, personal engineering identity, and thinking skills. Future goals will be focused on continued data collection and analysis, application …
Spacecraft Attitude Control Simulator, Bricen S. Rigby
Spacecraft Attitude Control Simulator, Bricen S. Rigby
College of Engineering Summer Undergraduate Research Program
The Spacecraft Attitude Control Simulator is a single-axis attitude control platform which is intended to recreate the frictionless space environment in order to test cold-gas thruster control schemes. The overall goal of this research project was to observe settling data from the platform and compare it to simulated data. In practice, the predicted settling time was only 7% larger than observed settling time.
Analyzing Daytime/Nighttime Pedestrian Crash Patterns In Michigan Using Unsupervised Machine Learning Techniques And Their Potential As A Decision Support Tool, Baraah Qawasmeh, Jun-Seok Oh, Valerian Kwigizile
Analyzing Daytime/Nighttime Pedestrian Crash Patterns In Michigan Using Unsupervised Machine Learning Techniques And Their Potential As A Decision Support Tool, Baraah Qawasmeh, Jun-Seok Oh, Valerian Kwigizile
Waldo Library Student Exhibits
No abstract provided.
2024 (Fall) Ensi Informer Magazine, Morehead State University. Engineering Sciences Department
2024 (Fall) Ensi Informer Magazine, Morehead State University. Engineering Sciences Department
ENSI Informer Magazine Archive
The ENSI Informer Magazine published in the fall of 2024.
Numerical Modelling Of Carrier Transport In Organic Field Effect Transistors, Sameh O. Abdellatif, Salma Ahmed
Numerical Modelling Of Carrier Transport In Organic Field Effect Transistors, Sameh O. Abdellatif, Salma Ahmed
Electrical Engineering
No abstract provided.
Evaluation Of Kentucky’S Driver Focus Camera System, David Leddy, Brian Beaven, Xiaobing Li, Andrew Martin, Jennifer Walton, Chris Van Dyke
Evaluation Of Kentucky’S Driver Focus Camera System, David Leddy, Brian Beaven, Xiaobing Li, Andrew Martin, Jennifer Walton, Chris Van Dyke
Kentucky Transportation Center Research Report
Commercial motor vehicle (CMV) drivers who engage in federally prohibited activities such as not wearing safety belts, using hand-held mobile phones, or texting while driving endanger themselves and imperil the well-being of everyone who occupies the surrounding roadway environment. Unfortunately, conventional CMV inspection routines fail to detect many of these violations because inspectors have difficulty obtaining a clear view of truck cab interiors from inspection facilities. Recognizing it is critical to improve enforcement of Federal Motor Carrier Safety Regulations, this project evaluated the performance of a Driver Focus Camera System (DFCS) at an inspection facility on Interstate 75 northbound in …
Gaze Tracking Embedded Collaborative Robots For Automated Metrology And Reverse Engineering, Sachithra H. Karunathilake, Md Shahriar Forhad, Zhaohui Geng
Gaze Tracking Embedded Collaborative Robots For Automated Metrology And Reverse Engineering, Sachithra H. Karunathilake, Md Shahriar Forhad, Zhaohui Geng
Manufacturing & Industrial Engineering Faculty Publications
Conventional geometric metrology, or three-dimensional (3D) scanning, and reverse engineering heavily rely on the experience of the operators. With an increasing need for automation, robot arms have been adopted for this task. However, due to the large variety of parts and designs, automated path planning could provide a scanning solution that may overlook the critical area, which could potentially deteriorate the scan results. This article explores the integration of collaborative robotics (cobots) with eye-tracking technology to improve the autonomous 3D scanning process. The primary objective of this study is to enhance the accuracy and efficiency of cobots in 3D scanning, …
Data-Driven Roughness Estimation Of Additively Manufactured Samples Using Build Angles, Jose Galarza, Jose Barron Jr., Farid Ahmed, Jianzhi Li
Data-Driven Roughness Estimation Of Additively Manufactured Samples Using Build Angles, Jose Galarza, Jose Barron Jr., Farid Ahmed, Jianzhi Li
Manufacturing & Industrial Engineering Faculty Publications
Achieving control of Laser Powder Bed Fusion (L-PBF) over the quality of the print is the main motivation for finding an optimum set of parameters in the process. Surface roughness is one of the characteristics of the print that impacts the performance of the desired functionality. This research focus is to relate the build angle with the surface roughness on the L-PBF printed specimens and utilize machine learning methods for roughness estimation of geometric features with varying build angles. The EOS M290 L-PBF printer was used to print Inconel-718 coupons using standard process parameters while varying build angles from 20 …
Enhancing Resilience In Complex Energy Systems Through Real-Time Anomaly Detection: A Systematic Literature Review, Ali Aghazadeh Ardebili, Oussama Hasidi, Ahmed Bendaouia, Adem Khalil, Sabri Khalil, Dalila Luceri, El Hassan Abdelwahed, Sara Qassimi, Antonio Ficarella
Enhancing Resilience In Complex Energy Systems Through Real-Time Anomaly Detection: A Systematic Literature Review, Ali Aghazadeh Ardebili, Oussama Hasidi, Ahmed Bendaouia, Adem Khalil, Sabri Khalil, Dalila Luceri, El Hassan Abdelwahed, Sara Qassimi, Antonio Ficarella
Manufacturing & Industrial Engineering Faculty Publications
As real-time data sources expand, the need for detecting anomalies in streaming data becomes increasingly critical for cutting edge data-driven applications. Real-time anomaly detection faces various challenges, requiring automated systems that adapt continuously to evolving data patterns due to the impracticality of human intervention. This study focuses on energy systems (ES), critical infrastructures vulnerable to disruptions from natural disasters, cyber attacks, equipment failures, or human errors, leading to power outages, financial losses, and risks to other sectors. Early anomaly detection ensures energy supply continuity, minimizing disruption impacts, an enhancing system resilience against cyber threats. A systematic literature review (SLR) is …
Analysis And Design Of Synchronous Machines With Reluctance Rotor And Pm Stator Combined Excitation, Oluwaseun A. Badewa, Dan M. Ionel
Analysis And Design Of Synchronous Machines With Reluctance Rotor And Pm Stator Combined Excitation, Oluwaseun A. Badewa, Dan M. Ionel
Electrical and Computer Engineering Graduate Research
This paper studies motors that are part of a general class of synchronous machines with stator-only excitation including those that may be referred to in recent literature as of the flux switching, variable flux reluctance, or hybrid excitation type. In the studied example machine, the active stator has circumferentially magnetized spoke-type PMs and concentrated toroidal coils for improved slot fill and shortened end turns. A systematic analysis of the mmf produced by the toroidal coils in the stator and open-circuit airgap flux is developed to define feasible polarities of this synchronous motor and to establish that the dominant pole pair …
Remote Operated Amateur Radio Using Raspberry Pi And Limesdr, Esteban I. Perez
Remote Operated Amateur Radio Using Raspberry Pi And Limesdr, Esteban I. Perez
College of Engineering Summer Undergraduate Research Program
This project presents the design and implementation of a portable, remotely programmable amateur radio system operating on the 2-meter and 70-cm bands. The system utilizes Raspberry Pi 5 and LimeSDR hardware to facilitate communication between aerial and ground units, allowing for efficient transmission and reception of synchronization and calibration waveforms. A custom communication protocol incorporating BPSK modulation and a two-tone signaling mechanism enables time-of-flight measurements for calculating distances between nodes. This low-cost solution has potential applications in civilian sectors, such as search and rescue operations, where accurate direction finding and target localization are critical. Full-duplex operation enhances the system's capability …
Optimizing Resume Authenticity And Ats Compatibility With Llm Feedback Integration, Katie He, Justin Lau
Optimizing Resume Authenticity And Ats Compatibility With Llm Feedback Integration, Katie He, Justin Lau
College of Engineering Summer Undergraduate Research Program
Resume generation using Large Language Models (LLMs) like ChatGPT is becoming increasingly popular for automating the creation of customized resumes, but significant user modification is often required before submission. Common issues include poor alignment with job descriptions, inflated qualifications, and lack of authenticity, which undermine the effectiveness of LLM-generated resumes. This project addresses these challenges by integrating feedback from Applicant Tracking Systems (ATS) to guide LLMs in producing resumes that accurately reflect an applicant’s qualifications and better align with job-specific requirements. By optimizing the model's output through ATS feedback, the project aims to create more authentic, tailored, and ATS-compatible resumes, …
Kentucky Traffic Collision Facts Calendar Year 2023 Report, Paul Ross, Eric Green, Chris Blackden, Kenneth R. Agent, Chris Van Dyke
Kentucky Traffic Collision Facts Calendar Year 2023 Report, Paul Ross, Eric Green, Chris Blackden, Kenneth R. Agent, Chris Van Dyke
Kentucky Transportation Center Research Report
No abstract provided.
Analysis Of Traffic Crash Data In Kentucky 2019-2023, Paul Ross, Eric Green, Chris Blackden, Christopher Van Dyke, Teng Wang, Mohammad Majidi
Analysis Of Traffic Crash Data In Kentucky 2019-2023, Paul Ross, Eric Green, Chris Blackden, Christopher Van Dyke, Teng Wang, Mohammad Majidi
Kentucky Transportation Center Research Report
No abstract provided.