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Articles 5941 - 5970 of 8613
Full-Text Articles in Engineering
Choosing Robust Leadership: Encompassing The Best-Of-N Model And Swarm Intelligence Optimization For Heterogeneous Multiple Autonomous Unmanned Aerial Vehicle Systems, Kudamuhandiramlage Harith Kolitha Warnakulasooriya
Choosing Robust Leadership: Encompassing The Best-Of-N Model And Swarm Intelligence Optimization For Heterogeneous Multiple Autonomous Unmanned Aerial Vehicle Systems, Kudamuhandiramlage Harith Kolitha Warnakulasooriya
Shelby Hall Graduate Research Forum Presentations
Presentation slides for a presentation given at the 1st annual Shelby Hall Graduate Research Forum at the University of South Alabama.
Improving The Viability Of Continuous Fiber Reinforced Composite Materials In Extreme Temperature Applications And Additive Manufacturing, Ryan A. Warren
Improving The Viability Of Continuous Fiber Reinforced Composite Materials In Extreme Temperature Applications And Additive Manufacturing, Ryan A. Warren
Shelby Hall Graduate Research Forum Presentations
Presentation slides for a presentation given at the 1st annual Shelby Hall Graduate Research Forum at the University of South Alabama.
Danzens: A Toolkit For Sensing, Labeling And Visualizing Dance Movements, Yanelly Mego, Concepción Valdez, Hector M. Camarillo-Abad, Franceli L. Cibrian
Danzens: A Toolkit For Sensing, Labeling And Visualizing Dance Movements, Yanelly Mego, Concepción Valdez, Hector M. Camarillo-Abad, Franceli L. Cibrian
Engineering Faculty Articles and Research
Wearable technology offers new opportunities for analyzing complex movements like dance, where precision, coordination, and feedback are key. In this demo, we present DanZens, a novel toolkit for real-time motion analysis in dance, leveraging wearable sensors to provide accessible and actionable feedback. Combining DanceTag to capture and annotate movements with DanceVis to visualize performance differences, DanZens uses Sony Mocopi sensors to analyze motion and generate intuitive heat maps through Dynamic Time Warping (DTW). This system enables precise, cost-effective comparisons between two people doing dance-related movements, offering personalized feedback and eliminating the need for expensive biomechanical labs. Designed to advance pervasive …
Harmonicthreads – An Interface That Supports Accessibility In Musical Interaction, Ellie Nguyen, Miyuki Weldon, Franceli L. Cibrian
Harmonicthreads – An Interface That Supports Accessibility In Musical Interaction, Ellie Nguyen, Miyuki Weldon, Franceli L. Cibrian
Engineering Faculty Articles and Research
Traditional musical instruments often can create boundaries due to their cost, training, mobility, and cognitive requirements, making musical expression inaccessible. To address this challenge, we developed HarmonicThreads, a novel pervasive computing interface consisting of a responsive, flexible fabric. HarmonicThreads provides a tactile and auditory experience, allowing users to easily create and control sounds. Using embedded sensors and real-time processing, HarmonicThreads interprets the user's natural movements and interactions to create adaptable musical outputs. This enables context-aware musical interaction, demonstrating the potential of pervasive interfaces in reducing barriers and making musical expression more accessible.
Advances In Theory And Computational Methods For Next-Generation Thermoelectric Materials, Junsoo Park, Alex M. Ganose, Yi Xia
Advances In Theory And Computational Methods For Next-Generation Thermoelectric Materials, Junsoo Park, Alex M. Ganose, Yi Xia
Mechanical and Materials Engineering Faculty Publications and Presentations
This is a review of theoretical and methodological development over the past decade pertaining to computational characterization of thermoelectric materials from first principles. Primary focus is on electronic and thermal transport in solids. Particular attention is given to the relationships between the various methods in terms of the theoretical hierarchy as well as the tradeoff of physical accuracy and computational efficiency of each. Further covered are up-and-coming methods for modeling defect formation and dopability, keys to realizing a material's thermoelectric potential. We present and discuss all these methods in close connection with parallel developments in high-throughput infrastructure and code implementation …
Design, Test, And Comparison Of A Photovoltaic Thermal Hybrid Solar Collector Utilizing A Thermosiphon, And Theory And Analysis Of Related Predictive Computer Model, Lance Brown
Master's Theses
Design, construction and testing of a photovoltaic thermal collector, or PVT, was completed to determine efficiency improvements of this system compared to a conventional solar panel and to find the thermal energy gained through hot water storage. Flow, driven by density changes from solar radiation, creates a thermosiphon, moving water without the use of a pump and ultimately drawing heat away from the solar panel. This is done to create a more efficient solar panel as well as decreasing potential damage due to high temperatures. Evaluation of electrical efficiency, thermal efficiency and flowrate allow for comparison between other PVT systems. …
Development Of Ex-Situ Accelerated Chemical Stress Test Protocol For Common Anionic Exchange Membrane Chemistries, Michael D. Friend, Michael D. Friend
Development Of Ex-Situ Accelerated Chemical Stress Test Protocol For Common Anionic Exchange Membrane Chemistries, Michael D. Friend, Michael D. Friend
Master's Theses
The development of sustainably produced hydrogen fuel (“green hydrogen”) is key for the transition to clean energy sources. Green hydrogen is produced via water electrolysis. As with many clean energy sources, one of the major barriers for scaling water electrolysis is cost. A newer category of water electrolysis is Anionic Exchange Membrane (AEM) water electrolysis. AEM electrolysis systems have the potential to cost less as they do not require the expensive precious metal catalysts the current high preforming Proton Exchange Membrane water electrolysis technologies do. However, AEM lifetimes must be long enough to be cost competitive and AEM chemical durability …
Risc-V Gpu Acceleration On Low-Cost Embedded Systems, Fadi M. Alzammar
Risc-V Gpu Acceleration On Low-Cost Embedded Systems, Fadi M. Alzammar
Master's Theses
The Vortex project from Georgia Institute of Technology was created to provide an open-source hardware and software GPGPU research platform based on RISC-V. Skybox was introduced as an extension to Vortex to provide dedicated support for 3D graphics rendering acceleration as a complete GPU platform. This work presents contributions to the render output unit of Skybox, including the development of a blend unit, cache bypassing mechanisms, and performance monitoring metrics. With these, Skybox has succeeded in its goal of accelerating graphics rendering on RISC-V platforms. This work also establishes a foundation for adapting Vortex to low-cost embedded platforms such as …
Industry Applications Society And Conferences [President’S Message], Ayman El-Refaie
Industry Applications Society And Conferences [President’S Message], Ayman El-Refaie
Electrical and Computer Engineering Faculty Research and Publications
No abstract provided.
Computational Study Of The Separation Of Aromatic/Aliphatic Mixtures Using Ionic Liquids, Brian Seth Christa, Brooks D. Rabideau
Computational Study Of The Separation Of Aromatic/Aliphatic Mixtures Using Ionic Liquids, Brian Seth Christa, Brooks D. Rabideau
Shelby Hall Graduate Research Forum Posters
Aromatic hydrocarbons are a valuable product in many industrial processes. Separating aromatic compounds from solutions of mixed hydrocarbons is notoriously expensive and inefficient, particularly in solutions with less than 20 wt% aromatics. Ionic liquids (ILs) are salts that remain liquid at room temperature and exhibit extremely promising properties such as negligible vapor pressure and high thermal stability. The tunable nature of ILs, arising from the interchangeability of ions, is a promising attribute for the use of ILs in difficult separation processes. This study involves the separation and adsorption between aromatic and aliphatic compounds with various ILs to study the selectivity …
Adaptive Core Materials For Wireless Power Transfer: Evaluating Mr Fluid In Static And Dynamic Scenarios, Abrer Mohsin Samin, Daniela Wolter Ferreira Touma
Adaptive Core Materials For Wireless Power Transfer: Evaluating Mr Fluid In Static And Dynamic Scenarios, Abrer Mohsin Samin, Daniela Wolter Ferreira Touma
Shelby Hall Graduate Research Forum Posters
This research introduces the behavior of Magnetorheological (MR) material as a core for Wireless Power Transfer (WPT) and Dynamic Wireless Power Transfer (DWPT) systems. MR fluids are flexible and easily fabricable material, although they offer a lower magnetic permeability compared to conventional Ferrite cores. The main objective of this research is to investigate the potential of MR fluid as a core for static and dynamic WPT system if it improves transfer efficiency, specially under misalignment and movement. MR fluids, known for their ability to rapidly change their rheological properties in response to magnetic fields, support the power transmission between transmitter …
End-To-End (E2e) Mbse Framework, Joshua Adelabu, Bhushan Lohar
End-To-End (E2e) Mbse Framework, Joshua Adelabu, Bhushan Lohar
Shelby Hall Graduate Research Forum Posters
Principles of systems engineering (SE) possess great influence. Frameworks are generated to execute and incorporate such principles. Framework can have various architectural constructs and simultaneously consist of diverse concepts. Concepts like modularity, scalability, integration, and the balance between performance, cost, and risk are guided by SE principles as well as the manufacturability of designed systems due to the migration from mass customization to mass personalization resulting in increased complexity, and as a result need to be guided and gives rise to modularity. However, principles are not enough for effective system design and understanding. There is a need for a framework. …
Unified Adaptive Cross-Attention Multimodal Network, Mahesh Sunuwar
Unified Adaptive Cross-Attention Multimodal Network, Mahesh Sunuwar
Shelby Hall Graduate Research Forum Posters
Accurately diagnosing appendicitis remains a significant challenge in emergency medicine due to its varied clinical presentation and overlap with other abdominal conditions. Existing diagnostic models often rely on unimodal data, such as computed tomography (CT) images or clinical notes, limiting their ability to capture the full complexity of patient information. This study proposes a novel multimodal framework, a Unified Adaptive Cross-Attention Multimodal Framework (u-ACM), that integrates CT images and clinical notes using hybrid fusion strategies to improve diagnostic accuracy for appendicitis. The u-ACM leverages adaptive contextual filtering to dynamically remove irrelevant features, crossattention mechanisms to align features between modalities, and …
Thermal Stability Analysis Of Aqueous Ionic Amines For Sustainable Co2 Capture, Li Hua Zang, Keegan Everitt, Kevin West, Brooks D. Rabideau, Breanna Dobyns, James Davis
Thermal Stability Analysis Of Aqueous Ionic Amines For Sustainable Co2 Capture, Li Hua Zang, Keegan Everitt, Kevin West, Brooks D. Rabideau, Breanna Dobyns, James Davis
Shelby Hall Graduate Research Forum Posters
In closed air cabin atmospheres such as those of spacecraft, CO₂ accumulation jeopardizes crew respiratory function and may gradually affect sensitive equipment, making effective air revitalization critical. Traditional CO₂ capture methods like monoethanolamine (MEA) efficiently capture CO₂ but suffer from high volatility, leading to solvent loss and unpleasant odor, as well as corrosion and degradation, requiring frequent replacement. These flaws demand eco-friendly, durable alternatives. This study addresses these limitations by exploring a series of aqueous ionic amines (AIAs), salts similar to MEA in CO₂ capture efficiency but with improved thermal stability—crucial for preventing degradation under high regeneration temperatures and prolonged …
Effect Of Pre-Adsorbed Species On High-Pressure Adsorption Of Methane In Zeolite 5a Using Grand Canonical Monte Carlo (Gcmc) Simulations, Kanhamardi Lao, Brooks D. Rabideau
Effect Of Pre-Adsorbed Species On High-Pressure Adsorption Of Methane In Zeolite 5a Using Grand Canonical Monte Carlo (Gcmc) Simulations, Kanhamardi Lao, Brooks D. Rabideau
Shelby Hall Graduate Research Forum Posters
Natural gas upgrading, which removes impurities from methane (CH4), is essential for industrial applications, including liquefied natural gas (LNG) production and power generation, as well as for residential use. Removing non-hydrocarbon impurities such as carbon dioxide (CO2), nitrogen (N2), and water vapor (H2O), among others, along with separating heavier hydrocarbon gases from raw natural gas, is required to achieve high- purity methane and prevent pipeline corrosion. Zeolite 5A is a microporous aluminosilicate material with a pore size of approximately 5 Å, containing sodium and calcium cations that balance the framework’s negative charge. Its structure offers high thermal stability and a …
Thermophysical Properties Of Aqueous Amine Salts For Closed Air Cabin Revitalization, Mahmud R. Yusuf, Isabela Flores, Ben Hines, Li Hua Zhang, Seth Christa, Brooks D. Rabideau, Kevin West, Breanna Dobyns, James Davis
Thermophysical Properties Of Aqueous Amine Salts For Closed Air Cabin Revitalization, Mahmud R. Yusuf, Isabela Flores, Ben Hines, Li Hua Zhang, Seth Christa, Brooks D. Rabideau, Kevin West, Breanna Dobyns, James Davis
Shelby Hall Graduate Research Forum Posters
Carbon dioxide (CO2) capture plays a crucial role in closed cabin air revitalization, however current CO2 capture technologies pose several issues. Traditional amine solutions, such as monoethanolamine, are commonly used in CO2 capture on the International Space Station but face drawbacks including high volatility, thermal degradation, and unpleasant odor. To overcome these challenges, amine salt solutions have emerged as promising alternatives. Amine salt solutions have reduced environmental impact, lower corrosion potential, and improved CO2 loading capacity, making them a more efficient and sustainable replacement. Knowing these physical properties are critical for modeling and optimizing a scrubbing process that employs these …
Quantum Finite Automaton Using Ternary Rotation Quantum Gates And Chrestenson Family Quantum Gates, Yuchen Huang, Marek Perkowski, Xiaoyu Song, John M. Acken
Quantum Finite Automaton Using Ternary Rotation Quantum Gates And Chrestenson Family Quantum Gates, Yuchen Huang, Marek Perkowski, Xiaoyu Song, John M. Acken
Electrical and Computer Engineering Faculty Publications and Presentations
Quantum automata can solve certain problems with a smaller state space than classical automata. We developed a quantum finite automaton using ternary rotation quantum gates and the Chrestenson family of ternary quantum gates. The main idea of this paper is to show how to combine rotation ternary quantum circuit-based QuantumFinite Automaton and quantum reversible circuit-based Deterministic Finite Automaton to build a more powerful machine. The combined machine can enable more complex language and pattern recognition. The developed quantum finite automaton and resulting combined machine can be used for robotics applications such as language, gesture, and motion recognition.
Modelled Flooding Impacts On Lower Fish River Watershed, Sebastian Loschner
Modelled Flooding Impacts On Lower Fish River Watershed, Sebastian Loschner
Shelby Hall Graduate Research Forum Posters
This study investigates the impacts of compound flooding in the Lower Fish River watershed, Baldwin County, Alabama, with a focus on the potential effects of sea level rise due to climate change. Coastal flooding, particularly in smaller watersheds, is a growing concern as it results from the interaction of multiple factors, including rainfall, tidal changes, and extreme weather events. Compound flooding, which involves multiple flood drivers, is expected to worsen with climate change, as increased precipitation and rising sea levels create heightened flood risks. However, existing research on compound flooding predominantly focuses on large-scale watersheds, leaving a knowledge gap in …
Toward Sustainability: A New Construction Method For Electrically Heated Rigid Pavement Systems, Mohamed Abdel-Raheem, Mohammad Anis
Toward Sustainability: A New Construction Method For Electrically Heated Rigid Pavement Systems, Mohamed Abdel-Raheem, Mohammad Anis
Civil Engineering Faculty Publications
Damage caused by snow and ice to airport pavements in colder regions of the United States presents a persistent and economically significant challenge. This research explores an innovative construction method using an electrically conductive composite (ECC) composed of waterborne polyurethane and graphite powder (Gp). The ECC is applied to a Portland cement concrete substrate through a parallel stripe technique, using two types of “exposed” specimen. The study thoroughly examines the resistive heating performance of these specimens under various conditions, focusing on critical factors such as Gp concentrations in ECC, stripe thickness, spacing, and applied voltages. ECC was prepared with varying …
Treating Ground Water For Agricultural And Individual Consumption, Gabby Miller, Bronson Scott, Michael Clawson
Treating Ground Water For Agricultural And Individual Consumption, Gabby Miller, Bronson Scott, Michael Clawson
Biomedical Engineering
This project, conducted in collaboration with Cal Poly seniors and Da Vinci High School students, aims to develop a solar-powered groundwater purification system. This system is designed to provide clean water for agricultural use and individual consumption, addressing the growing concerns of groundwater contamination and accessibility needs. The final prototype integrates a gravity filtration system combined with chemical purification, utilizing aluminum sulfate and chlorine to remove particulates, bacteria, and organic compounds.
The research phase involved an extensive review of groundwater contamination issues, existing filtration technologies, and market analysis. Key design constraints included cost-effectiveness, ease of maintenance, and minimal energy consumption, …
Tiny Temp Neonatal Intensive Care Unit Infant Temperature Monitor, Alexandria Lukacsffi, Sydney Dedrick
Tiny Temp Neonatal Intensive Care Unit Infant Temperature Monitor, Alexandria Lukacsffi, Sydney Dedrick
Biomedical Engineering
This document outlines the key steps taken in the specification, design, and functionality of the Tiny Temp Neonatal Intensive Care Unit Infant Temperature Monitor. The BICEP team identified temperature monitors for infants in incubators in the NICU as an area of need after surveying hospitals in the San Luis Obispo area. Current thermometers are oversimplified in design, consisting of only the temperature probe and a piece of adhesive holding the probe directly onto the infant's skin. As a result, the adhesive is weak to prevent harm to the infant and, therefore, falls off the infant easily and frequently, posing a …
Peripheral Vagus Nerve Stimulation (Pvns) Device For Epilepsy, Logan P. Beckstrand, Alexander P. Crary, Grace E. Heller
Peripheral Vagus Nerve Stimulation (Pvns) Device For Epilepsy, Logan P. Beckstrand, Alexander P. Crary, Grace E. Heller
Biomedical Engineering
Our research team developed a PVNS for Epilepsy device which is intended to act as a preventative measure against seizures for patients with epilepsy. The device is a less invasive alternative to the VNS device on the market using electroacupuncture at the Shenmen and Xin points along the posterior pinna to stimulate the vagus nerve.
Sprinter Start Block Training Aid, Kayla Lovejoy, Kevin Almontes
Sprinter Start Block Training Aid, Kayla Lovejoy, Kevin Almontes
Biomedical Engineering
Currently, track and field sprinters ranging from beginner level to world-class have no practical tool that provides quantitative feedback of value on quality of start and quality of the three distinct phases of their sprint race, such that they can quantify the value of their adjustments. Our team will create a device that integrates with the sprint starting block to provide quantifiable data on the quality of a sprinter’s start. This Statement of Work describes drawbacks of current solutions, existing patents, customer requirements, engineering specifications, and our project plan.
Maglock - Electromagnetic Pedal Aid For Amputees, Minh Vo, Matthew Chew
Maglock - Electromagnetic Pedal Aid For Amputees, Minh Vo, Matthew Chew
Biomedical Engineering
For this project, we aimed to design components that could easily be swapped out and into vehicles, which would help them accomplish the task of locating and securing a prosthetic foot to a bike and/or car pedal. A common problem among cyclists and drivers with prosthetic legs is their foot slipping off the pedal while in use; these components could be used for other common applications such as cars, bikes, etc. Stakeholders for this product included automotive companies and handicap product distributors. The focused objective is to provide dexterity and quick attach/detach support for cyclists and drivers with lower limb …
Generating Synthetic Images For Construction Machinery Data Augmentation Utilizing Context-Aware Object Placement, Yujie Lu, Bo Liu, Wei Wei, Bo Xiao, Zhangding Liu, Wensheng Li
Generating Synthetic Images For Construction Machinery Data Augmentation Utilizing Context-Aware Object Placement, Yujie Lu, Bo Liu, Wei Wei, Bo Xiao, Zhangding Liu, Wensheng Li
Michigan Tech Publications
Dataset is an essential factor influencing the accuracy of computer vision (CV) tasks in construction. Although image synthesis methods can automatically generate substantial annotated construction data compared to manual annotation, existing challenges limited the CV task accuracy, such as geometric inconsistency. To efficiently generate high-quality data, a synthesis method of construction data was proposed utilizing Unreal Engine (UE) and PlaceNet. First, the inpainting algorithm was applied to generate pure backgrounds, followed by multi-angle foreground capture within the UE. Then, the Swin Transformer and improved loss functions were integrated into PlaceNet to enhance the feature extraction of construction backgrounds, facilitating object …
Development And Validation Of An Artificial Intelligence System For Surgical Case Length Prediction, Adhitya Ramamurthi, Bhabishya Neupane, Priya Deshpande, Ryan Hanson, Kellie R. Brown, Kathleen K. Christians, Douglas B. Evans, Anai N. Kothari
Development And Validation Of An Artificial Intelligence System For Surgical Case Length Prediction, Adhitya Ramamurthi, Bhabishya Neupane, Priya Deshpande, Ryan Hanson, Kellie R. Brown, Kathleen K. Christians, Douglas B. Evans, Anai N. Kothari
Electrical and Computer Engineering Faculty Research and Publications
Background
Accurate case length estimation is a vital part of optimizing operating room use; however, significant inaccuracies exist with current solutions. The purpose of this study was to develop and validate an artificial intelligence system for improved surgical case length prediction by applying natural language processing and machine-learning methods.
Methods
All inpatient elective surgical cases longer than 30 minutes completed between 2017 and 2023 at a single, quaternary care hospital were considered. Data were split into training, test, and hold-out validation for model training and testing. Linear regression, CategoricalBoost, and feed-forward neural network each were trained and used embeddings created …
Industry Applications Society And Conferences [Presidents Message], Ayman El-Refaie
Industry Applications Society And Conferences [Presidents Message], Ayman El-Refaie
Electrical and Computer Engineering Faculty Research and Publications
No abstract provided.
Shear Behavior Of Ultra-High-Performance Concrete Deep Beams Reinforced With Fibers: A State-Of-The-Art Review, Hossein Mirzaaghabeik, Nuha S. Mashaan, Sanjay Kumar Shukla
Shear Behavior Of Ultra-High-Performance Concrete Deep Beams Reinforced With Fibers: A State-Of-The-Art Review, Hossein Mirzaaghabeik, Nuha S. Mashaan, Sanjay Kumar Shukla
Research outputs 2022 to 2026
Ultra-high-performance concrete (UHPC) is considered a highly applicable composite material due to its exceptional mechanical properties, such as high compressive strength and ductility. UHPC deep beams are structural elements suitable for short spans, transfer girders, pile caps, offshore platforms, and bridge applications where they are designed to carry heavy loads. Several key factors significantly influence the shear behavior of UHPC deep beams, including the compressive strength of UHPC, the vertical web reinforcement (ρsv), horizontal web reinforcement (ρsh), and longitudinal reinforcement (ρs), as well as the shear span-to-depth ratio (λ), fiber type, fiber content (FC), and geometrical dimensions. In this paper, …
Computational Model Of Coarctation Of The Aorta In Rabbits Suggests Persistent Ascending Aortic Remodeling Post-Correction, Ashley A. Hiebing, Matthew A. Culver, John F. Ladisa, Colleen M. Witzenburg
Computational Model Of Coarctation Of The Aorta In Rabbits Suggests Persistent Ascending Aortic Remodeling Post-Correction, Ashley A. Hiebing, Matthew A. Culver, John F. Ladisa, Colleen M. Witzenburg
Biomedical Engineering Faculty Research and Publications
Coarctation of the aorta (CoA) is a common congenital cardiovascular lesion that presents as a localized narrowing of the proximal descending aorta. While improvements in surgical and catheter-based techniques have increased short-term survival, there is a high long-term risk of hypertension and a reduced average lifespan despite correction. Computational models can be used to estimate aortic remodeling and peripheral vascular compensation, potentially serving as key tools in developing a mechanistic understanding of the interplay between pre-treatment dynamics, post-treatment recovery, and long-term hypertension risk. In this study, we developed a lumped-parameter model of the heart and circulation to simulate CoA. After …
Preparation Of Mg-Doped Coffee Waste For Efficient Removal Of Methylene Blue And Lead From Water, Pengfei Li, Liang Zhao, Long Li, Kehan Xu, Jibran Iqbal, Zhenbang Tian, Xing Xing, Hui Li, Yaping Hou, Jie Wang, Manman Xu
Preparation Of Mg-Doped Coffee Waste For Efficient Removal Of Methylene Blue And Lead From Water, Pengfei Li, Liang Zhao, Long Li, Kehan Xu, Jibran Iqbal, Zhenbang Tian, Xing Xing, Hui Li, Yaping Hou, Jie Wang, Manman Xu
All Works
Water pollution, particularly from industrial sources, poses severe environmental and health risks, necessitating cost-effective and sustainable solutions. This study investigates the preparation and application of magnesium-doped coffee waste biochar (Mg-CW) for the removal of methylene blue (MB) and lead ions (Pb2+) from water. Mg-CW, synthesized via one-step pyrolysis at 300°C, demonstrated remarkable adsorption capacities of 1024.88 mg/g for MB and 349.59 mg/g for Pb2+. Adsorption efficiencies were optimal at pH 12 for MB and pH 5 for Pb2+, attributed to enhanced electrostatic interactions and complexation mechanisms. Regeneration studies revealed that Mg-CW retains over 95% adsorption efficiency after multiple cycles, highlighting …