Matching Items (1,518)
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- All Subjects: Choruses
ContributorsHaefer, J. Richard (Performer) / Wicks, Stanley M. (Performer) / Stocker, David, 1939- (Performer) / Peterson, Craig C. (Performer) / Cherland, Carl (Performer) / Collegium Musicum (Performer) / University Choir (Performer) / Vocal Jazz Ensemble (Performer) / ASU Library. Music Library (Publisher)
Created1987-10-18
ContributorsGarrett, Jennifer (Performer) / Women's Chorus (Performer) / ASU Library. Music Library (Publisher)
Created2009-04-20
ContributorsQualls, Karla J. (Performer) / Neufeld, Charles (Performer) / Davis, Brian (Performer) / Weiler, Kristana J. (Performer) / Putney, Mary C (Performer) / Nickels, Derek (Performer) / Constas, Marie (Performer) / Lebert, Lois (Performer) / Constas, Robert (Performer) / Duckles, Andrew (Performer) / Robinson, Annette (Performer) / Little, Mary (Performer) / Kim, Doosook (Performer) / Kent, Libbie (Performer) / Jackson, Nicole (Performer) / Recital Chorale (Performer) / African Drum Ensemble (Performer) / ASU Library. Music Library (Publisher)
Created1993-04-22
ContributorsHoerber, Michael (Conductor) / Umberson, George (Conductor) / Pagano, Caio, 1940- (Performer) / Rugen, Kira (Performer) / LaFalce, Joan (Performer) / Hoffer, Warren (Performer) / Sautter, Ron (Performer) / Dockendorff, Catherine (Performer) / University Symphony Orchestra (Performer) / Choral Union (Performer) / ASU Library. Music Library (Publisher)
Created2000-04-18
Description
The thesis explores the avenues of machine learning principles in object detection using TensorFlow 2 Object Detection API Libraries for implementation. Integrating object detection capabilities into ESP-32 cameras can enhance functionality in the capstone dragster application and potential applications, such as autonomous robots. The research implements the TensorFlow 2 Object Detection API, a widely used framework for training and deploying object detection models. By leveraging the pre-trained models available in the API, the system can detect a wide range of objects with high accuracy and speed. Fine-tuning these models using a custom dataset allows us to enhance their performance in detecting specific objects of interest. Experiments to identify strengths and weaknesses of each model's implementation before and after training using similar images were evaluated The thesis also explores the potential limitations and challenges of deploying object detection on real-time ESP-32 cameras, such as limited computational resources, costs, and power constraints. The results obtained from the experiments demonstrate the feasibility and effectiveness of implementing object detection on ESP-32 cameras using the TensorFlow2 Object Detection API. The system achieves satisfactory accuracy and real-time processing capabilities, making it suitable for various practical applications. Overall, this thesis provides a foundation for further advancements and optimizations in the integration of object detection capabilities into small, low-power devices such as ESP-32 cameras and a crossroad to explore its applicability for other image-capturing and processing devices in industrial, automotive, and defense sectors of industry.
ContributorsMani, Vinesh (Author) / Tsakalis, Konstantinos (Thesis director) / Jayasuriya, Suren (Committee member) / Barrett, The Honors College (Contributor) / Electrical Engineering Program (Contributor)
Created2024-05
ContributorsRussell, Timothy Wells (Performer) / Umberson, George (Performer) / Robinson, Faye (Performer) / Andrade, Juan Pablo (Performer) / University Symphony Orchestra (Performer) / Choral Union (Performer) / ASU Library. Music Library (Publisher)
Created1995-10-30
Description
Culturally responsive teaching refers to an approach to teaching and learning that facilitates the achievement of all students by including content that is relatable to all cultures, and creating a culturally-supported and learner-centered environment. The CSE 110 course at ASU would greatly benefit from the incorporation of culturally relevant learning, as it would help them thrive in their chosen field of study while being able to uphold and value cultural relevance. The incorporation of culturally relevant pedagogy would further help students from marginalized communities feel more accepted and capable to thrive in STEM education.
We began our research by first understanding the foundations of culturally responsive pedagogy, including how it is currently being used in classrooms. Concurrently, we studied the CSE 110 curriculum to see where we can implement this teaching strategy. Our research helped us develop a set of worksheets. In the second semester of our research we distributed these worksheets and a set of control worksheets. Students were randomly assigned to an experiment or control group each of the four weeks of the study. We then analyzed this information to quantitatively see how culturally responsive pedagogy affects their outcomes. To follow up we also conducted a survey to get some qualitative feedback about student experience. Our final findings consisted of an analysis on how culturally responsive pedagogy affects learning outcomes in an introductory computer science course.
ContributorsTripathi, Tejal (Author) / Mane, Rhea (Co-author) / Sathe, Isha (Co-author) / Tadayon-Navabi, Farideh (Thesis director) / Nkrumah, Tara (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2024-05
DescriptionCreating a Scheme Dialect using Modern C++.
ContributorsAl-Qassas, Feras (Author) / Osburn, Steve (Thesis director) / Chen, Yinong (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2024-05