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Articles 18271 - 18300 of 196369
Full-Text Articles in Engineering
Estimation Of Benefits From Pedestrian And Bicycle Improvements, Dionysios Tzamakos, Nikiforos Stamatiadis, William Staats, Teng Wang, Reginald Souleyrette
Estimation Of Benefits From Pedestrian And Bicycle Improvements, Dionysios Tzamakos, Nikiforos Stamatiadis, William Staats, Teng Wang, Reginald Souleyrette
Kentucky Transportation Center Research Report
Delivering safe mobility for all users of the transportation system is a key priority of the Kentucky Transportation Cabinet (KYTC). Because many system users rely on pedestrian and bicycle facilities, it is critical for KYTC to balance pedestrian and bicycle facility accommodations with those for motorized users. Currently, the Strategic Highway Investment Formula for Tomorrow (SHIFT) — the Cabinet’s systematic approach to scoring and prioritizing proposed roadway projects — awards up to five points (out of a possible total of 100) for pedestrian and bicycle projects. But the agency lacks a robust method for estimating the benefits of pedestrian and …
Computational Predictions Of Heart Failure Drug Effects On Cardiac Fibrosis, Aaron Gardner
Computational Predictions Of Heart Failure Drug Effects On Cardiac Fibrosis, Aaron Gardner
Chemical Engineering Undergraduate Honors Theses
The extracellular matrix is a complex system surrounding cells that is crucial to all of the cardiovascular system’s functions. Fibrosis is an excessive accumulation (scarring) of the extracellular matrix. Fibrosis is typically a negative event, and the scarring must be reduced in the heart in order to maintain its functionality. Due to this, simulations are run using the software “Netflux” in order to determine the effects of different heart failure drugs on cardiac fibrosis. The drugs that were simulated were an ACE Inhibitor, BAR Beta Blocker, ARB Blocker, and Entresto. These drugs were simulated over 50 hours at three different …
Optimization Of Collagen And Cell Concentrations For Engineered Tissues, Avery Fiser
Optimization Of Collagen And Cell Concentrations For Engineered Tissues, Avery Fiser
Chemical Engineering Undergraduate Honors Theses
Improvements regarding the drug discovery process are necessary due to less than 1% of drugs making it from the initial discovery phase to patient treatment in clinics. One method of enhancing this process involves improving the relevance and dependability of in vitro testbeds utilized during pre-clinical testing. Improvement along these factors can provide a more relevant view for eventual drug behavior in patients. This additional relevance can allow for a reduced timeline in drug development for improving patient care. A consistent and morphologically sound baseline engineered tissue is vital to the creation of successful experimental models. Parameters such as cell …
Modeling Inflation Transmission Among Different Construction Materials, Mohamad Abdul Nabi, Islam H. El-Adaway, Rayan H. Assaad
Modeling Inflation Transmission Among Different Construction Materials, Mohamad Abdul Nabi, Islam H. El-Adaway, Rayan H. Assaad
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Cost estimating in the construction industry is challenging due to the high uncertainty associated with the supply chain, especially after the COVID-19 pandemic. Some research studies have addressed such problems by developing models that predict material cost. In fact, all material can be interconnected and interrelated with lead-lag relationships such that any inflation in one material's price can be associated with inflation in other materials' prices, referred to as transmission of inflation. Despite the latter, none of the existing studies have investigated inflation transmission among all construction materials. This paper fills this knowledge gap. The authors used a multistep research …
A Review Of Whipple Shield Ballistic Limit Equations, S. Ryan, W. (William) P. Schonberg
A Review Of Whipple Shield Ballistic Limit Equations, S. Ryan, W. (William) P. Schonberg
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Ballistic limit equations (BLEs) are semi-analytical expressions used to predict the risk posed by micrometeoroid and orbital debris (MMOD) impacts on a spacecraft. A foundational BLE, known as the new non-optimum (NNO) equation was published by Eric Christiansen of NASA Johnson Space Center in 1990 for application on Whipple shields – two-plate configurations consisting of a thin sacrificial plate located at some standoff in front of the spacecraft pressure hull or structural wall. Today, BLEs for almost all multi-plate spacecraft structures, e.g., honeycomb sandwich panels, monolithic structures with thermal insulation blankets, etc., are based on the NNO Whipple BLE. We …
Rapid Response Satellite Launcher, Nathan Jones, Joey Cosentino, Jayson Layton, Afek Adar
Rapid Response Satellite Launcher, Nathan Jones, Joey Cosentino, Jayson Layton, Afek Adar
Senior Design Project For Engineers
Air launch to orbit is a new style or spacecraft where rockets are attached to a large aircraft and released at cruising altitude to then ignite and launch into space. Companies such as Virgin Orbit are using it as a cheap and efficient way to move satellite payloads into lower or upper Earth orbit. These styles of launchers can be designed to be much smaller than ground-launched spacecraft, reducing cost and weight of the launcher in comparison. With many private companies coming into the space and satellite industry, the design and manufacturing of these launchers have become a focus within …
Encapsulated 2d Materials And The Potential For 1d Electrical Contacts, Sarah Wittenburg
Encapsulated 2d Materials And The Potential For 1d Electrical Contacts, Sarah Wittenburg
Physics Undergraduate Honors Theses
The utilization of two-dimensional materials and heterostructures, particularly graphene and hexagonal boron nitride, have garnered significant attention in the realm of nanoelectronics due to their unique properties and versatile functionalities. This study focuses on the synthesis and fabrication processes of monolayer graphene encapsulated between layers of hBN, aiming to explore the potential of these heterostructures for various electronic applications. The encapsulation of graphene within hBN layers not only enhances device performance but also shields graphene from environmental contaminants, ensuring long-term stability. Experimental techniques, including mechanical exfoliation and stamp-assisted transfer, are employed to construct three-layer stacks comprising hBN-graphene-hBN. The fabrication process …
Analyzing A Software Based Lossy Compression Algorithm On An Fpga Platform, Tripp Herlong
Analyzing A Software Based Lossy Compression Algorithm On An Fpga Platform, Tripp Herlong
All Theses
In HPC, the ability to generate data is outpacing our hardware capabilities of storing said data. This presents the need for compression so we can keep important data preserved without costly hardware upgrades or worrying about hardware speed limitations. Traditional forms of compression are software based, which presents a speed issue that can lead to bottlenecks when storing data.Scientific data lossy compression methods such as SZ enable a speedup on memory transfer by simplifying computation to minimize the essential data size. SZx is a lightweight version of the popular SZ floating point compressor that may benefit from hardware acceleration. This …
Analysis Of Additively Manufactured Inconel 718 Combustion Behavior In Promoted Oxygen Environments, Dominic George Dieguez
Analysis Of Additively Manufactured Inconel 718 Combustion Behavior In Promoted Oxygen Environments, Dominic George Dieguez
Open Access Theses & Dissertations
Promoted combustion testing is a vital tool for engineers to establish the combustion and flammability characteristics of materials (metallic or otherwise) in oxygen enriched environments. Historically, much of the established data for metallic promoted combustion has been with regards to materials in their cast and wrought forms. However, with the emergence of additive manufacturing as a preferred method of fabrication, the need exists to evaluate how metals in that form behave. Recent testing has demonstrated that even if a metal or alloy is nominally the same with regards to chemistry, flammability between samples in the wrought form can differ significantly …
Physics-Guided Scan Paths Optimization For Controlled Microstructure In Laser Powder Bed Fusion, Augustine Twumasi
Physics-Guided Scan Paths Optimization For Controlled Microstructure In Laser Powder Bed Fusion, Augustine Twumasi
Open Access Theses & Dissertations
Laser Powder Bed Fusion (L-PBF) is a renowned additive manufacturing technique, celebrated for its capability to construct intricate metal components with remarkable precision. However, one of the main challenges with L-PBF is the formation of complex microstructures, which can significantly impact the final material properties. To address this issue, our study proposes a physics-guided and machine-learning-aided approach to optimize scan paths for achieving desired microstructure outcomes, such as the generation of equiaxed grains that enhance material properties. By using phase-field modeling, a physics-based computational method, we gain insights into microstructure evolution. To reduce computational costs, we train a surrogate machine-learning …
Balancing Environmental Clearances With Construction Work Zone Needs, Chris Van Dyke, Steve Waddle, Ying Li
Balancing Environmental Clearances With Construction Work Zone Needs, Chris Van Dyke, Steve Waddle, Ying Li
Kentucky Transportation Center Research Report
On small, single-span bridge projects (< 100 feet), the Kentucky Transportation Cabinet (KYTC) during project development works to establish an environmentally clear area (ECA) large enough to accommodate contractor operations. An adequately sized ECA gives contractors sufficient room to have materials delivered, park vehicles, store materials, and maneuver equipment around the project site (e.g., cranes, drill rig). If a contractor finds an ECA is too small to support their operations, they are responsible for obtaining additional environmental clearances. Clearing additional areas following the project award can slow down project delivery. To reduce the likelihood of contractors needing to enlarge an ECA, this report includes four documents KYTC can implement immediately to streamline and clarify the environmental clearances process. They include a checklist that project managers can use to coordinate the work of project team members and verify environmental clearances are on track, a combined environmental clearances workflow and best practices document for use by environmental subject-matter experts (SMEs), proposed language that can be inserted into project proposals that describes the environmental clearance process and specifies materials the Cabinet will hand off to contractors showing the location of the ECA, and a one-page explainer for contractors describing the environmental clearances process. Taken together, these deliverables emphasize the importance of early and ongoing coordination among project team members, clearing as much area as practical in and around bridges, and being transparent with contractors about their responsibilities.
Bidding Strategy For A Wind Power Producer In Us Energy And Reserve Markets, Anne Stratman
Bidding Strategy For A Wind Power Producer In Us Energy And Reserve Markets, Anne Stratman
Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research
Wind power is one of the world's fastest-growing renewable energy resources and has expanded quickly within the US electric grid. Currently, wind power producers (WPPs) may sell energy products in US markets but are not allowed to sell reserve products, due to the uncertain and intermittent nature of wind power. However, as wind’s share of the power supply grows, it may eventually be necessary for WPPs to contribute to system-wide reserves. This paper proposes a stochastic optimization model to determine the optimal offer strategy for a WPP that participates in the day-ahead and real-time energy and spinning reserve markets. The …
Development Of A Multi-Use Modular Microfluidic Platform Using 3d Printing, Carson Emeigh
Development Of A Multi-Use Modular Microfluidic Platform Using 3d Printing, Carson Emeigh
Department of Mechanical and Materials Engineering: Dissertations, Theses, and Student Research
Microfluidic lab-on-a-chip (LoC) technology has driven numerous innovations due to their ability to perform laboratory-scale experiments on a single chip using microchannels. Although LoC technology has been innovative, it still suffers from limitations related to its fabrication and design flexibility. Typical LoC fabrication, with photolithography, is time consuming, expensive, and inflexible. To overcome the limitations of LoC devices, modular microfluidic platforms have been developed where multiple microfluidic modules, each with a specific function or group of functions, can be combined on a single platform. Modular microfluidics have overcome some of the limitations of LoC devices, but currently, their fabrication is …
Characterization Of Tunable And Responsive Functionalized Cellulose Nanofiber (Cnf) Gels With Applications As A 3d Bioprinting Ink, Charles Joseph Jouaneh
Characterization Of Tunable And Responsive Functionalized Cellulose Nanofiber (Cnf) Gels With Applications As A 3d Bioprinting Ink, Charles Joseph Jouaneh
Senior Honors Projects
No abstract provided.
Entropy-Infused Deep Learning Loss Function For Capturing Extreme Values In Wind Power Forecasting, Mucun Sun, Sergio Valdez, Juan M. Perez, Kevin Garcia, Gael Galvan, Cesar Cruz, Yifeng Gao, Li Zhang
Entropy-Infused Deep Learning Loss Function For Capturing Extreme Values In Wind Power Forecasting, Mucun Sun, Sergio Valdez, Juan M. Perez, Kevin Garcia, Gael Galvan, Cesar Cruz, Yifeng Gao, Li Zhang
Electrical and Computer Engineering Faculty Publications
Extreme scenarios in wind power generation occur with higher frequency and larger magnitude in the recent years due to the ever-increasing extreme meteorological factors. Accurate forecasting of the occurrence of extreme values in wind power generation is of great concern to ensure reliable power system operation. Recently, deep learning models have surged in popularity for wind power forecasting, with the mean squared error (MSE) loss function being commonly used. However, the MSE loss function, being sensitive to extreme values, disproportionately penalizes larger errors, cannot adequately capture the extreme values present in wind energy data, and novel loss functions have seldom …
Data Recovery Beyond The Obvious Using Digital Forensic Techniques, Smit Chandrakant Nayak
Data Recovery Beyond The Obvious Using Digital Forensic Techniques, Smit Chandrakant Nayak
Theses, Dissertations and Culminating Projects
Advancement in drone technology, particularly for smaller drones, are creating new research fields and potential applications, particularly with regard to smaller drones. On the other hand, these enhancements bring forth additional hurdles in terms of adaptability, homogeneity, and safety. The purpose of this study is to investigate the science and technology behind drones, as well as their applications, the many ways in which citizens implement them, and the risks, precautions, and privacy problems that are associated with their utilization. This article discusses the existing literature, as well as the available solutions for drone cybersecurity, the security challenges related with drones …
Comprehensive Current Flow Modeling And Circuit Parameter Analysis For A Brushed Dc Motor Regenerative Braking System, Caleb Nathaniel Bondy
Comprehensive Current Flow Modeling And Circuit Parameter Analysis For A Brushed Dc Motor Regenerative Braking System, Caleb Nathaniel Bondy
Legacy Theses & Dissertations (2009 - 2024)
The literature surrounding regenerative braking systems deals heavily with control system analysis and less to do with the electrical analysis of the circuitry itself. This thesis develops a step-by-step current flow model for a single-phase brushed DC motor regenerative braking system using the RL unit step-response equation as a starting point. This model and the equations derived from it will be analyzed to see what limitations arise from the circuitry on the overall performance of the system, such as non-ideal resistances, switching delays, and affects from current draw of accessory circuitry. The efficiency will be calculated in the context of …
Neural Network Based Digital Twin For A Half-Bridge Llc Resonant Converter, Nicholas Green
Neural Network Based Digital Twin For A Half-Bridge Llc Resonant Converter, Nicholas Green
Legacy Theses & Dissertations (2009 - 2024)
This paper introduces a Neural Network based approach for creating a Digital Twin of a Half-Bridge LLC Resonant Converter. By using a set of measured inputs, the Digital Twin system can characterize the component values, and hard to measure switch characteristics such as the Junction Temperature or Gate-Source Capacitance. This capability is useful for reliability or health applications, and may also be useful for adaptive control. A case study is done for the LLC Resonant converter designed around an operating point. Data sweeps around that operating point are simulated to form a dataset. An introduction to Neural Networks is given …
Multi-Task Learning For Hybrid Communication Waveforms: Exploring Model Enhancement Techniques And Establishing Task Relationships, Saksham Dewan
Multi-Task Learning For Hybrid Communication Waveforms: Exploring Model Enhancement Techniques And Establishing Task Relationships, Saksham Dewan
Legacy Theses & Dissertations (2009 - 2024)
Wireless communications have become ubiquitous, enabling seamless connectivity and driv- ing innovations across various domains. As we look to the future, visible light communication (VLC) is a promising technology that offers the potential to revolutionize how we transmit and receive data. It seamlessly integrates multiple functionalities, including localization, control/sensing, and high-speed data transmission.This thesis proposes a multi-task learning deep convolutional neural network approach to optimize a hybrid waveform for VLC-enabled networks. By integrating Beacon Posi- tion Modulation (BPM), Beacon Phase Shift Keying (BPSK), and OFDM symbols within a virtual Pulse Width Modulation (PWM) envelope, this waveform supports localization, control/sensing, and …
Radio Frequency Interference (Rfi) Detection In Microwave Radiometry Using Multi-Dimensional Data Mining Techniques, Fathima Imara Mohamed Nazar
Radio Frequency Interference (Rfi) Detection In Microwave Radiometry Using Multi-Dimensional Data Mining Techniques, Fathima Imara Mohamed Nazar
Legacy Theses & Dissertations (2009 - 2024)
Measurements of natural electromagnetic radiation from Earth using microwave radiometers provide deep insight into our planet and its environmental conditions. These insights are essential for quantifying, understanding, and predicting various geophysical processes, such as climate patterns, water cycles, carbon cycles, and more. These passive measurements are diverse and cover a wide range of frequencies, depending on the sensitivity of microwave radiation to changes in important geophysical parameters. However, it is important to note that the microwave spectrum is also utilized by active services, such as wireless communication networks and radars. As a result, Radio Frequency Interference (RFI) in the measurements …
Optimization And Fabrication Of Semiconductor Power Devices On 4h-Sic, Justin M. Lynch
Optimization And Fabrication Of Semiconductor Power Devices On 4h-Sic, Justin M. Lynch
Legacy Theses & Dissertations (2009 - 2024)
The work presented in this document focuses on the design, optimization, and fabrication of power devices on 4H-Silicon Carbide (SiC) substrates. Power devices convert or control electric power flow and are the main components of electronic power systems worldwide. Power electronic systems are used in both low-power and high power settings, including prevalent applications such as fast charging set-ups for personal electronic devices, electric vehicle motor drives, and renewable energy storage and grid connections. With a wide spread of applications and the further electrification of our society on the horizon, it is crucial to minimize the power loss of power …
Toward The Advancement Of High-Efficiency P-Type Doping In Iii-Nitrides: Novel Beryllium Doping Techniques, Benjamin Arthur Mcewen
Toward The Advancement Of High-Efficiency P-Type Doping In Iii-Nitrides: Novel Beryllium Doping Techniques, Benjamin Arthur Mcewen
Legacy Theses & Dissertations (2009 - 2024)
The III-nitride material system is well-suited to a broad range of applications in light emitting diodes and laser diodes, photodetectors, power management, and telecommunications. Much of III-nitrides’ utility derives from their direct, wide, and tunable bandgap, but it is their ability to be doped n- and p-type that makes them especially useful and attractive. However, despite the decades of academic interest and commercial success, p-type doping in III-nitrides is infamously difficult and inefficient. Magnesium, the only currently viable p-type dopant in III-nitrides, is not a shallow acceptor, and as a result, the activation efficiency of Mg in GaN is only …
Design And Fabrication Of Injectable Alginate Hydrogel Microstrands For Mesenchymal Stem Cell Delivery In Salivary Gland Tissue Regeneration, Sujith Chander Reddy Kollampally
Design And Fabrication Of Injectable Alginate Hydrogel Microstrands For Mesenchymal Stem Cell Delivery In Salivary Gland Tissue Regeneration, Sujith Chander Reddy Kollampally
Legacy Theses & Dissertations (2009 - 2024)
Fibrosis is a pathological wound healing process, driven by excessive accumulation of extracellular matrix (ECM) following tissue remodeling. Fibrosis occurs in diseased or damaged salivary glands caused by several conditions, such as Sjogren’s syndrome or radiation for head and neck cancers. Having better insight into the cellular and molecular progression of fibrosis will allow us to model new therapeutic approaches as fibrosis prevents salivary gland tissue regeneration and function. Pharmacological, tissue engineering and cell-based regeneration strategies have been widely explored to restore lost salivary gland function. Among cell-based therapies, exploitation of mesenchymal stromal/stem cells (MSC) for salivary gland regeneration has …
Flow Characterization With Acoustic Emission Sensing, Jackson Marsh
Flow Characterization With Acoustic Emission Sensing, Jackson Marsh
Mechanical Engineering Undergraduate Honors Theses
Acoustic emissions (AE) allow for non-intrusive sensing into many types of systems. In systems where there is flow of some type, AE is very useful as these types of systems can be characterized in many ways from the collisions or creation of the flow. Correctly setting up the AE system is extremely important. Failure to do so results in imprecision and inaccurate data being collected. Because of this synchronization techniques, sensor configurations, and data acquisition systems must all align. This can be done with off-the-shelf, commercial systems, but this does not allow for customization and the ability to tailor the …
Numerical Simulations Of Supersonic/ Hypersonic Flows In Compression Corners And A Hypersonic Flow Study Of Atmospheric Entry Of Mars Science Laboratory Capsule, Dexter Allen
McKelvey School of Engineering Graduate Student Theses & Dissertations
This thesis consists of two related parts. The first part is the study of supersonic/hypersonic flow in compression corners. The compression corners are simple geometries but rich in flow-features that can be challenging for accurate prediction of their flow fields in high-speed compressible flow using the Reynold-Averaged Navier-Stokes (RANS) equations in conjunction with a turbulence model. At higher degrees of corner angles, there exists a shock-boundary layer interaction region which includes a significant recirculation zone in the corner. In this thesis, experimentally available test cases for compression corner at Mach 3, 8, and 11 at various corner angles are modeled …
Modeling Of Nk Cells In Pediatric Patients With Unusually Severe Or Recurrent Hsv Using High-Dimensional Flow Cytometry, Yunran Feng
McKelvey School of Engineering Graduate Student Theses & Dissertations
HSV infection is broadly spread all over the world with some patients having severe and/or recurrent HSV infections. Our lab studies human Natural Killer (NK) cells, which are important in innate immune responses to viral infections and tumors. A publication in 2013 by Ornstein et al from our lab studied HSV+ pediatric patients and found some associations between severe infection and defects in NK cytolytic function. PLCG2 haploinsufficient variants found in 2 HSV patients causing PLCγ2 hypophosphorylation, and loss of cytolytic function in NK cells is a novel finding recently published by Alinger et al from our lab in 2023. …
Characterization Of Platinum On Carbon Nanoparticles Selectively Coated With Titanium Nitride (Tin), Matthew Maramo
Characterization Of Platinum On Carbon Nanoparticles Selectively Coated With Titanium Nitride (Tin), Matthew Maramo
Honors Scholar Theses
Proton exchange membrane fuel cells are a promising low-carbon technology that still face problems including low durability during their normal operation cycles. At the cathode, the carbon supports of the catalysts may corrode. Atomic layer deposition of titanium nitride is performed on prepared catalyst layer samples. The purpose of the deposition is to create a thin film over the carbon supports to reduce carbon support corrosion and improve the lifespan of the fuel cell. Sheet resistances and contact angles are measured for the samples before and after the deposition, although some samples did not receive the deposition and post-deposition characterization …
Investigation Of Pra For Rapid Part Replacement, John Lazenby
Investigation Of Pra For Rapid Part Replacement, John Lazenby
Honors Theses
As the electronics industry transitions to using commercial-off-the-shelf (COTS) devices of increasingly smaller technologies, radiation effects analysis becomes more significant in mission planning. In this work a probabilistic risk assessment (PRA) program, RadSTATS, is used in the analysis of various COTS memories in a radiation environment. The probabilities that the bits in memory will be flipped due to single event upset (SEU) rates are calculated for each memory, volatile and non-volatile. The unavailability of bits was discovered to increase with increasing storage capacity. Methods of error detection and correction (EDAC) between the same manufacturer were seen to decrease at unavailability …
A 10 Kv Sic Mosfet Power Module With Optimized System Interface And Electric Field Distribution, Xiaoling Li
A 10 Kv Sic Mosfet Power Module With Optimized System Interface And Electric Field Distribution, Xiaoling Li
Graduate Theses and Dissertations
This dissertation introduces a holistic and systematic design methodology tailored to the 10 kV silicon carbide (SiC) MOSFET power modules to achieve multi-objective optimization with enhanced electric-field (E-field) distribution, minimized common-mode (CM) parasitic capacitance, and reduced system-level parasitic inductances. The proposed approach encompasses two innovative techniques: 1) an electric-potential-oriented module-system interface to reduce system-level parasitic inductance while maximizing insulation capability; 2) stacked substrates with patterned middle layer copper to alleviate the E-field concentration at the triple-point and reduce the maximum E-field without compromising on thermal resistance. The effectiveness of these innovative approaches is substantiated through the development of a 10 …
Recommendation System Using Machine Learning For Fertilizer Prediction, Durga Rajesh Bommireddy
Recommendation System Using Machine Learning For Fertilizer Prediction, Durga Rajesh Bommireddy
Electronic Theses, Projects, and Dissertations
This project presents the development of a sophisticated machine-learning model aimed at enhancing agricultural productivity by predicting the optimal fertilizer suited to specific crop requirements. Leveraging a diverse set of features including soil color, pH levels, rainfall, temperature, and crop type, our model offers tailored recommendations to farmers. Three powerful algorithms, Support Vector Machines (SVM), Artificial Neural Networks (ANN), and XG-Boost, were implemented to facilitate the prediction process. Through comprehensive experimentation and evaluation, we assessed the performance of each algorithm in accurately predicting the best fertilizer for maximizing crop yield. The project not only contributes to the advancement of machine …