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Ad Astra! Testing Rocket Fin Configurations and Their Effect on Flight Stability

Physics and Astronomy

Experimental rocketry is the field of engineering that studies scale rocket designs to optimize flight performance. Simulation engineering is an important part of this process because it sav…

A Deep Learning-Base Approach for Ovarian Cancer Subtype Classification

Biomedical Engineering

Ovarian cancer is the fifth leading cause of cancer-related mortality in women worldwide. This high mortality rate is largely due to late-stage diagnosis, which is a significant challenge gi…

A Deep Semi-Supervised Domain Generalization Approach for Epileptic Seizure Prediction Using Electroencephalography (EEG)

Computational Biology and Bioinformatics

According to the WHO, nearly 50 million people suffer from epilepsy, one of the most common neurological diseases. Deaths caused by epilepsy have doubled over the past decade. Epilepsy is ch…

Adjustable Socket for Transfemoral Prosthese

Biomedical Engineering

The post-amputation experience involves several physical and psychological changes. Despite technological advances, current prosthetic sockets present limitations by not accurately adapting…

Adjustment of Surface Properties of Microfluidic Chips Using Nanoparticles

Materials Science

The development of microfluidics is necessary for many reasons, especially in bio-medicine, where it would help to save time and resources such as the amount of chemical precursors as well a…

Advanced Soil Sensor Technology for Sustainable Agriculture Management

Embedded Systems

Soil chemical analysis is essential and fundamental, It provides farmers with benefits such as ensuring crop success, supplying appropriate quantities of fertilizers and water to the soil, t…

Advancing Antibiotic Detection: Engineering a Novel Chitosan-Zinc Oxide-Modified Graphite Electrochemical Sensor for Ciprofloxacin Detection

Chemistry Third Award

The contemporary bioaccumulation of Antibiotics in our environment due to various factors has resulted in significant pollution, predisposition of organisms to adverse health effects, and th…

Advancing Bias Mitigation in Machine Learning Models: The Use of Feature-Wise Mixing Across Diverse Classifiers for Contextual Bias Mitigation

Systems Software

In the realm of machine learning, biased models stemming from inadequate representation in training datasets pose a significant challenge to real life applications of these models. Despite a…

Advancing Diabetic Retinopathy Detection: Reducing Misdiagnosis Using Deep Ensemble Learning

Translational Medical Science

Diabetic retinopathy (DR), a primary cause of vision loss worldwide, is projected to affect 130 million individuals by 2030. Difficulties related to diagnosis have led to an estimated underd…

Advancing Early Detection of Kidney Cancer (Year 3): A Novel Automated Workflow for High-Throughput Proteomic Profiling of Urinary Extracellular Vesicles

Translational Medical Science First Award

Renal Cell Carcinoma (RCC) is the world's deadliest urological disease. Although detection before metastasis can raise a patient's 5-year survival rate by over 75%, current diagnostic method…

Advancing El Niño-Southern Oscillation ("ENSO") Ensemble Forecasting With Distillation-Based Learning

Systems Software

In this paper, we present several key contributions to the field of climate science and machine learning, with a specific focus on the prediction of the El Niño-Southern Oscillation (ENSO) p…

Advancing Pet Face Recognition: A Deep Learning Approach With a Large-Scale Dataset

Robotics and Intelligent Machines

Every year in the U.S., millions of cats and dogs go missing, but only a few are reunited with their owners. To address this issue, our study proposes a deep learning approach for matching l…

Advancing Sustainable Citrus Greening Disease Management: A Comprehensive Eco-Friendly Approach for the Management of Candidatus Liberibacter asiaticus Using Trunk Injection of Murraya koenigii Derived Biological Extract and Its Validation Through Precision Agriculture Tools

Plant Sciences First Award

Huanglongbing (HLB), or the Citrus Greening (Candidatus Liberibacter asiaticus), is the most destructive citrus disease worldwide and persists in threatening the sustainability of the Citrus…

Advancing Wound Infection Assessment by Utilizing pH-Sensitive Curcuma Longa, Phase II

Translational Medical Science Fourth Award

Wound care is an essential part of patient healthcare. However, infections worldwide are increasing at a record rate due to disease, microbes, and antibiotic resistance. Unfortunately, preve…

Adversarial AI: Poking Holes in Classification Algorithms

Machine learning models are prone to adversarial attacks, where inputs are manipulated to cause misclassification. While previous research has focused on techniques like Generative Adversari…

AdvMed: Detecting Adversarial Attacks in Medical Deep Learning Systems

Robotics and Intelligent Machines

Deep neural networks are used in the medical industry as tools to diagnose skin cancer from photographic images and detect the severity of diabetic retinopathy. Alongside these steps in medi…

Aerosol Driven Purification: A Novel Method for Purifying Water Utilizing Phase Changes

Environmental Engineering Second Award

Industrial Reverse Osmosis (“RO”) provides safe drinking water to homes and is supplied by ocean water. As such, the quantity of waste water produced by this method is inconsequential. Notab…

AEYE: A Novel Approach for the Detection of Diabetic Retinopathy Using a Non-Mydriatic Handheld Fundus Camera and a New Transformer

Translational Medical Science

Diabetic retinopathy (DR), a prevalent complication of diabetes, poses a significant threat to vision health, particularly in resource-limited rural settings. In 2023, a regional study in Al…

A Eye Intelligence: The Future of Disease Detection Through the Eyes

Biomedical Engineering

The project presents a groundbreaking approach to enhance human health through the eye with the integration of artificial intelligence (AI) technology through a smartphone attachment. By lev…

A Field Study on Arsenic in South Texas Drinking Water: Assessing Risk and Identifying Solutions

Translational Medical Science Fourth Award

Arsenic is toxic. The primary goal of this research is to scientifically detect and quantify arsenic levels in drinking water due to local residents’ concerns and assess the potential health…

AFM1 in Milk and Dairy Products

Chemistry

Among food products, the most important role is given to milk and dairy products with high nutritional value. Consequently, we became interested in evaluating the quality of certain milk and…

A Graph Isomorphism Kernel Based on k-Vertex Connectivity and Its Application in Graph Neural Networks

Systems Software

The most popular Graph Neural Networks rely on the message-passing paradigm, where the idea is to iteratively propagate the representation information of every node to its direct neighborhoo…

Agricultural Implications of Extraterrestrial Colonization

Plant Sciences

With the reality of space colonization approaching, questions related to living on extraterrestrial planets remain unanswered. Among these is “How will we grow food on extraterrestrial colon…

AGRIGENT: Enhancing Greenhouse Agriculture with IoT (Internet of Things)-Enabled Automated Irrigation and Rainwater Harvesting System for Improved Crop Growth and Water Efficiency

Environmental Engineering

In the Philippines, where one-third of employment is in the agricultural sector, low agricultural productivity has hindered economic growth. Thus, AGRIGENT was developed to improve greenhous…

A Hidden Treasure in Combating Water Pollution and Boosting Agriculture

Chemistry

The remains of Arabic coffee have been used to bring benefits to environments. Because it contains carbon, nitrogen, and sulfur. The remains were used in two different fields: purifying wate…

A High Rate of Human Error in Early Detection of Small Brain Metastases Suggests a Basis for Development of Artificial Intelligence Recognition Technology

Brain Metastases carry poor prognosis in cancer patients with their rapidly growing nature. Early identification of these tumors is crucial in improving patient survival. This investigation…

A Holistic Multi-Modal GenAI Healthcare System: Early Detection and Predictive Treatment Monitoring Using Cough Audio and Chest X-rays for Tuberculosis

Tuberculosis (TB), a bacterial infectious disease, is one of the top 10 causes of mortality worldwide in low- income countries, resulting in approximately 10 million new infections and 1.4 m…

A Holistic Multi-Modal GenAI System: Early Detection and Predictive Treatment Monitoring Using Chest X-rays and Cough Audio for Tuberculosis

Biomedical Engineering

Tuberculosis (TB), a bacterial infectious disease, is one of the top 10 causes of mortality worldwide in low-income countries, resulting in approximately 10 million new infections and 1.4 mi…

A Innovative Single Use-Plastic Collector System for Use in Open Channels and Drains in Sub-Urban and Urban Areas in Kenya: A Case Study of Nairobi

Environmental Engineering

There is an urgent need for an awareness campaign to educate the public on the hazards of haphazard littering in urban centers, especially with plastic bottles and papers, these products are…

AI-Powered Magnetic Inspection Robot for Advanced Structural Health Monitoring of Ferromagnetic Structures

Engineering Technology: Statics & Dynamics Second Award

Over 130,000 aging steel bridges in the United States are at risk from corrosion and structural issues. More efficient and thorough inspection methods are necessary to avoid future disasters…