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Articles 39691 - 39703 of 39703
Full-Text Articles in Entire DC Network
Cvitlnn: A Hybrid Approach Based On Vision Transformer And Liquid Neural Network For Covid-19 Detection, Muhammad Waqaq, Florentin Smarandache, Muhammad Yasir, Farrukh Arslan, Anum Ali
Cvitlnn: A Hybrid Approach Based On Vision Transformer And Liquid Neural Network For Covid-19 Detection, Muhammad Waqaq, Florentin Smarandache, Muhammad Yasir, Farrukh Arslan, Anum Ali
Branch Mathematics and Statistics Faculty and Staff Publications
The COVID-19 pandemic has underscored the need for accurate and rapid diagnostic tools to assist clinical decision-making. Conventional deep learning models for COVID-19 detection in Chest X-Ray (CXR) images face challenges in poor generalization across imaging conditions and high computational demands. To address these issues, this study proposes CviTLNN, a novel hybrid model combining Vision Transformers (ViTs) and Liquid Neural Networks (LNNs) to improve feature extraction and classification. Specifically, CviTLNN employs a ViT with 24 transformer encoder blocks for efficient extraction of spatial features. The self-attention mechanism of ViTs effectively captures global and local dependencies in CXR images. Furthermore, …
Development Of A Compliant Soft Gripper With Embedded Force Sensors, Ayman Abbas, Abdelrahman Said, Tamer Kahlil, Mahmoud Magdy
Development Of A Compliant Soft Gripper With Embedded Force Sensors, Ayman Abbas, Abdelrahman Said, Tamer Kahlil, Mahmoud Magdy
Mechanical Engineering
Robotic manipulators have the capability to perform repetitive tasks with a level of efficiency and precision that exceeds the capabilities of human operators. Currently, they are commonly found and extensively utilized across various disciplines. However, robotic manipulators have gradually begun to make inroads into fields beyond manufacturing, such as medicine and agriculture. Due to the diverse range of industries utilizing robotic manipulators, the nature of tasks assigned to these devices can often be more intricate and multifaceted than conventional assignments. Hence, conventional mechanical grippers may not always be suitable, prompting a growing need for grippers capable of adapting to effectively …
Non-Invasive Glucose Monitoring Using Ppg, Ai, And Iot-Driven Mobile Integration For Real-Time Diabetes Management, Mostafa Abdelaziz, Amr Refaie
Non-Invasive Glucose Monitoring Using Ppg, Ai, And Iot-Driven Mobile Integration For Real-Time Diabetes Management, Mostafa Abdelaziz, Amr Refaie
Mechanical Engineering
Diabetes mellitus patients must regularly monitor their blood glucose levels to manage glycaemia, typically requiring capillary tests at least three times daily and laboratory tests one to two times per month. These conventional methods involve finger pricking, causing significant discomfort and stress. This study introduces an innovative non-invasive glucose monitoring approach by integrating photoplethysmography (PPG) technology with an artificial intelligence (AI) algorithm, complemented by a mobile application using Flutter, IoT systems, and Firebase cloud for real-time data access. Among the AI models tested, polynomial regression demonstrated superior accuracy in glucose prediction, achieving a Mean Squared Error (MSE) of 14.76 and …
Design Of Modular Soft Gripper For Harvesting, Mostafa Abdelaziz, Ahmed Reda, Abdulrhman Atef, Mahmoud Magdy
Design Of Modular Soft Gripper For Harvesting, Mostafa Abdelaziz, Ahmed Reda, Abdulrhman Atef, Mahmoud Magdy
Mechanical Engineering
Soft robotics presents a transformative approach to agricultural automation, addressing the limitations of traditional mechanical systems in handling delicate crops. This paper introduces a modular soft robotic gripper designed for gentle harvesting applications, with a focus on adaptability, precision, and crop safety. The gripper's performance was evaluated through Finite Element Analysis (FEA) and experimental testing, targeting its ability to conform to objects of varying shapes, sizes, and fragility. The FEA confirmed the gripper's capability to apply a load based on the gripped crop of the range 0.6 – 0.75 N, sufficient for damage-free harvesting of sensitive produce like strawberries and …
Design And Implementation Of Smart Automation For Sustainable Plastic Recycling With Iot Integration, Mostafa Abdelaziz, Mahmoud Khedr, Amr Bakkar, Yossef Zidan, Abdelrahman Youssef, Mahmoud Magdy
Design And Implementation Of Smart Automation For Sustainable Plastic Recycling With Iot Integration, Mostafa Abdelaziz, Mahmoud Khedr, Amr Bakkar, Yossef Zidan, Abdelrahman Youssef, Mahmoud Magdy
Mechanical Engineering
Plastic pollution poses a critical environmental challenge, infiltrating ecosystems and impacting human health. One innovative solution involves repurposing recycled plastics into interlocking blocks as a sustainable alternative to concrete in construction. However, manual production methods hinder scalability, efficiency, and product consistency while generating material waste. This research addresses these limitations by automating the production process using PLC and IoT technologies. The findings demonstrate that automation significantly enhances production rates, ensures consistent quality, and minimizes waste, thereby improving operational efficiency and environmental sustainability. IoT is integrated to enhance the system's capabilities by providing real-time connectivity and data exchange. The IoT dashboard, …
Ai-Driven Robotic System For Predictive Maintenance: Urban Road Defect Detection In Smart Cities, Mostafa Abdelaziz, Mahmoud Khedr
Ai-Driven Robotic System For Predictive Maintenance: Urban Road Defect Detection In Smart Cities, Mostafa Abdelaziz, Mahmoud Khedr
Mechanical Engineering
This paper presents the development and evaluation of an integrated AI & robotic solution for predictive maintenance in smart cities, focusing on urban road defect detection. The proposed system integrates a mobile robot equipped with a high-resolution camera and a GPS module to capture video footage and geolocation data of road surfaces. The collected data is processed using cloud-based AI models, with YOLOv9 and Roboflow 3.0 Object Detection (Fast) identified as the most effective for analyzing footage to detect cracks and potholes. Experimental results validate the system's ability to accurately identify defects and generate timely reports for maintenance teams. While …
Pre-Programmable Directional Stiffness In Continuum Robotic Arms: Effects Of Truss Configurations, Mostafa Abdelaziz, Zahy Elgendy, Mahmoud Magdy
Pre-Programmable Directional Stiffness In Continuum Robotic Arms: Effects Of Truss Configurations, Mostafa Abdelaziz, Zahy Elgendy, Mahmoud Magdy
Mechanical Engineering
This paper investigates the implementation of trussed designs in modular tendon-driven continuum arms (CAs) to address stiffness and stability limitations while maintaining adaptability. Various truss configurations— Single-Level, Combined-Level, and Alternated trusses—were analyzed using Finite Element Analysis (FEA) to evaluate their impact on flexural and axial stiffness under realistic loading conditions. Results demonstrate that truss placement significantly influences performance, with bottom-level trusses improving flexural stiffness by up to 33%, middle-level trusses enhancing axial stiffness by 43%. Further, Combined-Level configurations provide superior overall stiffness, with MiddleBottom trusses achieving a 66.5% improvement in flexural stiffness and a 70.9% increase in axial stiffness, while …
Integrating Machine Learning And Symbolic Regression For Predicting Damage Initiation In Hybrid Frp Bolted Connections, Sherif Sorour
Integrating Machine Learning And Symbolic Regression For Predicting Damage Initiation In Hybrid Frp Bolted Connections, Sherif Sorour
Mechanical Engineering
No abstract provided.
Hslic Annual Report Fy2024-25, University Of New Mexico Health Sciences Library And Informatics Center
Hslic Annual Report Fy2024-25, University Of New Mexico Health Sciences Library And Informatics Center
HSLIC Annual Reports
Annual report for FY 2024-2025.
The Line: Ai And The Future Of Personhood By James Boyle: Reviewed By Hannah Drayson, Hannah Drayson
The Line: Ai And The Future Of Personhood By James Boyle: Reviewed By Hannah Drayson, Hannah Drayson
School of Art, Design and Architecture
No abstract provided.
Community, Culture, And Capacity: Transformative Governance In The Gold Coast World Surfing Reserve, Kizzy Beaumont, Andrew Mckinnon, Scott Gillies
Community, Culture, And Capacity: Transformative Governance In The Gold Coast World Surfing Reserve, Kizzy Beaumont, Andrew Mckinnon, Scott Gillies
School of Art, Design and Architecture
Executive summary This report presents findings from interviews and a focus group held in September 2024 with stakeholders involved in the Gold Coast World Surfing Reserve (WSR). Participants shared perspectives on the evolution of the WSR, its governance structures, and its role in balancing surf culture, community needs, and environmental sustainability on one of Australia’s most urbanised coastlines.Participants praised the WSR Stewardship Committee, Council leadership, and strong data partnerships with universities. However, concerns were raised about increasing surf congestion, tourism pressure, development impacts, and the lack of formal legal protections for surf zones. The region’s surf culture was described as …
Tort Law And Practice, Carol M. Suzuki, Dominick Vetri, Lawrence C. Levine, Joan E. Vogel, Ibrahim J. Gassama, Deepa Badrinarayana
Tort Law And Practice, Carol M. Suzuki, Dominick Vetri, Lawrence C. Levine, Joan E. Vogel, Ibrahim J. Gassama, Deepa Badrinarayana
Faculty Book Display Case
The seventh edition of Tort Law and Practice continues to provide a rich and inclusive context for the study of tort law fundamentals and underlying policies. The innovative, student-centered casebook, which has been well-received by law students since its inception, thoroughly develops core tort principles and enhances student learning through the use of cases, notes, questions, element summaries, flowcharts, and problems. The book includes both short problems and others that are more akin to examination questions. The casebook provides frequent opportunities to consider tort law in a social justice context relevant to class, race, ethnicity, gender, and sexuality. For example, …
Exploring The Role Of Online Discussion Forums In Endorsing Egyptian Undergraduates’ Efl Learning, Wesam Khairy Morsi
Exploring The Role Of Online Discussion Forums In Endorsing Egyptian Undergraduates’ Efl Learning, Wesam Khairy Morsi
English Language and Literature
eLearning Management systems (eLMS) are software applications used in universities worldwide to implement specific educational goals. eLearning platforms have several features that support traditional Face to Face (FTF) teaching and provide valuable opportunities for independent, self-paced learning. One of these features is the Online Discussion Forums (ODFs). This research paper investigates the role of ODFs in endorsing English as a Foreign Language (EFL) learning by examining students' perceptions of its accessibility, peer/instructor interaction, assessment criteria, and discussion topics. The paper also investigates the influence of gender on students' perceptions of the role of ODFs. This is a non-experimental research design, …