Streaming Enrollment in Early Child Care Centers Using Stable Matching

From the Washington University Office of Undergraduate Research Digest (WUURD), Vol. 13, 05-01-2018. Published by the Office of Undergraduate Research. Joy Zalis Kiefer, Director of Undergraduate Research and Associate Dean in the College of Arts & Sciences; Lindsey Paunovich, Editor; Helen Human, Programs Manager and Assistant Dean in the College of Arts and Sciences Mentor(s): John McCarth

Robotic Drone Arm for civil structures inspection: Challenges and Future Directions

Over the past two decades, the field of civil engineering has witnessed a remarkable transformation with the integration of robotic technology in civil and infrastructures inspection. Robotic drone arms have emerged as a pivotal tool, offering unparalleled access to hard-to-reach areas and enabling comprehensive assessments of civil structures. This article presents a comprehensive review of the advancements, challenges, and applications of robotic drone arms for civil structure inspection over the last two decades. This article discusses the key developments in types of robotic drone arms, real-world applications, success stories, current challenges and future directions for civil and infrastructure inspection

Artificial Intelligence in Water Desalination: A Novel Approach for Global Sustainability

Artificial intelligence (AI) is an efficient technique frequently used to tackle practical issues in various engineering and medical fields. Apart from different areas, water desalination is essential in surviving humans, animals, and plants. It is a crucial industry for a sustainable planet, and we cannot live without water. As a result, engineers and researchers are quite active in this area. Recent studies based on Elsevier’s Scopus database demonstrate how automation using emerging technologies has enhanced the traditional desalination process. AI offers enormous potential to address numerous problems and real-time optimization procedures. According to Elsevier’s Scopus database, water desalination has extensively used AI optimization tools, especially after 2010, such as artificial neural networks (ANN), genetic algorithms (GA), fuzzy logic, and natural swarm global optimization techniques to improve water quality and quantity. Finally, it was determined that AI technologies would surely pave the way for better operation, water resource management, and process automation in the water sector in an increasingly unstable climate