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Articles 691 - 720 of 6003
Full-Text Articles in Entire DC Network
Crowd-Sourced Learning For Computer Graphics Applications, Yunhao Zhang
Crowd-Sourced Learning For Computer Graphics Applications, Yunhao Zhang
Dissertations
Computer Graphics (CG) revolves around virtual content creation using computational methods, spanning applications from games to visual effects. Typically, the creation of CG content is led by expert practitioners who guide computational algorithms towards satisfactory results. Thus, creating CG content often requires manual iterations encompassing algorithm design, parameter tuning, and aesthetic feedback. This work investigates how to leverage crowd-sourcing to streamline such creation processes, focusing on animation and simulation. In animation, a novel crowd-sourcing framework is proposed for combat animation, enabling users to analyze motion similarities, and retrieve matching motions using novel crowd-sourced motion features. Such features enable quantifying previously …
Advancing Prediction Of Stimulant Medication Misuse Through Graph Representation Learning, Hamid Razavi
Advancing Prediction Of Stimulant Medication Misuse Through Graph Representation Learning, Hamid Razavi
Theses
The misuse of stimulant prescription medications poses a significant and escalating public health concern in the United States, particularly among young adults. Addressing this issue requires sophisticated methodologies capable of uncovering complex patterns and relationships in data. Geometric Deep Learning, a paradigm designed to analyze data with non-Euclidean structures, has achieved remarkable success across various domains, offering a powerful framework for tackling complex graph structure data challenges.
This study leverages Graph Convolutional Networks (GCNs) to predict the likelihood of stimulant medication misuse using data from the National Survey on Drug Use and Health (NSDUH). Individuals are represented as nodes in …
Surveying The Role Of Visual Analytics In Human-Machine Teaming, Naga Datha Saikiran Battula
Surveying The Role Of Visual Analytics In Human-Machine Teaming, Naga Datha Saikiran Battula
Theses
Humans and machines both possess their unique capabilities and have their strengths and weaknesses, which can be complementary to one another and allow them to achieve a common goal. Teaming in the modern era involves text prompts, voice commands, gesture recognition, touch interfaces, and the latest visualization techniques that allow parties/agents to interact. Communication through visualization plays a vital role in allowing robust insights to be gained through a glance. Using visualization as a medium between humans and machines can increase the communication bandwidth. Human-machine teaming has witnessed much progress, with many theories and practical examples emerging. In the report, …
Automated Segmentation Of The Ulnar Nerve In Mri Using Deep Learning Techniques, Akhil Nagulapalli
Automated Segmentation Of The Ulnar Nerve In Mri Using Deep Learning Techniques, Akhil Nagulapalli
Theses
Cubital Tunnel Syndrome (CuTS), a condition caused by compression of the ulnar nerve, results in numbness, tingling, pain, and even muscle atrophy, affecting fine motor skills and diminishing patient quality of life. Accurate diagnosis of CuTS is challenging, as current diagnostic methods—including clinical exams, nerve conduction studies, and unaided MRI—often lack the precision to reliably identify the nerve and detect compression in its early stages. Deep learning-based segmentation offers a promising solution, enabling precise and automated identification of nerve structures in MRI images, which could significantly improve diagnostic accuracy and support timely intervention.
A novel deep learning model for segmenting …
Overcoming Obstacles To Interdisciplinary Research: Empirical Insights And Strategies [Peer-Reviewed Journal], Cristo Leon Ph.D., James Lipuma Ph.D.
Overcoming Obstacles To Interdisciplinary Research: Empirical Insights And Strategies [Peer-Reviewed Journal], Cristo Leon Ph.D., James Lipuma Ph.D.
STEM for Success Resources
Explore how to overcome obstacles to interdisciplinary research with strategies for transdisciplinary communication, breaking silos, and fostering collaboration. Read insights from Cristo Leon and James Lipuma in this impactful study.
Navigating Transdisciplinary Communication: A Graduate Student's Perspective, Sirimuvva Pathikonda, James Lipuma, Cristo Leon
Navigating Transdisciplinary Communication: A Graduate Student's Perspective, Sirimuvva Pathikonda, James Lipuma, Cristo Leon
STEM for Success Resources
Discover "Navigating Transdisciplinary Communication: A Graduate Student’s Perspective," a comprehensive exploration of how diverse disciplines converge to tackle complex challenges. This study, presented at WMSCI 2024, employs a Constructivist lens to highlight the co-construction of knowledge, innovative teamwork tools, and practical strategies for research in STEM and beyond. Co-authored by Sirimuvva Pathikonda, MEM, and James Lipuma, Ph.D., the paper underscores the value of Transdisciplinary Communication (TDC) in fostering collaboration, innovation, and holistic problem-solving across fields. Read the full article here: https://doi.org/10.54808/JSCI.22.06.151.
Strategizing Education Amid Crisis: A Case Study On Transforming Higher Education During The Covid-19 Pandemic [Academia Journals Hidalgo], Michelle Lorette Llado-Wrzos, Cristo Leon Ph.D.
Strategizing Education Amid Crisis: A Case Study On Transforming Higher Education During The Covid-19 Pandemic [Academia Journals Hidalgo], Michelle Lorette Llado-Wrzos, Cristo Leon Ph.D.
STEM for Success Resources
The COVID-19 pandemic posed unprecedented challenges to higher education, disrupting traditional teaching methodologies and requiring institutions to adapt rapidly to ensure continuity of learning. This case study examines how a leading STEM-focused public research university navigated these challenges, leveraging strategic planning, technological innovation, and adaptive leadership to sustain its mission. The study highlights the institution’s transition to online learning, the implementation of blended modalities, and the operational adjustments safeguarding its community while maintaining educational excellence. Drawing on insights gained during the pandemic, the institution revised its strategic plan for 2025, incorporating goals for digital transformation, sustainability, and improved quality of …
Journal Of Roleplaying Studies And Steam (Jrpssteam) Vol. 3 [2024], Número 2 (Issue 2)., Cristo Leon, Miguel A. Bastarrachea-Magnani
Journal Of Roleplaying Studies And Steam (Jrpssteam) Vol. 3 [2024], Número 2 (Issue 2)., Cristo Leon, Miguel A. Bastarrachea-Magnani
Journal of Roleplaying Studies and STEAM
Editorial - La última y nos movemos
Siempre es difícil asumir y enfrentar los cambios, desde el primer número y junto a un gran comité editorial nos dimos a la tarea de lanzar y mantener una revista académica exitosa, con rigor académico y que sirviera por un lado como un espacio para publicar trabajos académicos serios sobre juegos de rol y por el otro como un referente académico sobre el tema, en ese sentido, no tengo la menor duda de que lo hemos logrado.
Para este número, la principal sorpresa es que dejo de ser el editor en jefe, esto …
Collaborative Co-Design: Transforming Traditional Professional Development, Cristo Leon, James Lipuma
Collaborative Co-Design: Transforming Traditional Professional Development, Cristo Leon, James Lipuma
STEM for Success Resources
Objective: The primary aim of this project was to develop the "Online Professional Learning Exchange" (OPLE), a platform designed to support blended learning and facilitate a shift towards a Community of Practice (CoP) model. By integrating face-to-face, blended, and fully online learning situations, this move was intended to enhance the accessibility and effectiveness of professional development. Theoretical Framework: The project was grounded in theories of adult learning and community of practice. It utilized these frameworks to foster an environment where educators could collaboratively design and engage with learning materials. This approach aimed to promote sustained professional growth and mastery of …
Chem 336-101: Quantum Chemistry, Farnaz Shakib
Chem 336-101: Quantum Chemistry, Farnaz Shakib
Chemistry, Environmental and Forensic Science Syllabi
No abstract provided.
Engl 101-081: English Composition: Introduction To Academic Writing, Galen Faison
Engl 101-081: English Composition: Introduction To Academic Writing, Galen Faison
Humanities Syllabi
No abstract provided.
Hss 404-035: Speculative Technologies In Science Fiction, Catherine Siemann
Hss 404-035: Speculative Technologies In Science Fiction, Catherine Siemann
Humanities Syllabi
No abstract provided.
Arch 195: Architecture Studio I, All Sections, School Of Architecture
Arch 195: Architecture Studio I, All Sections, School Of Architecture
NJ School of Architecture Syllabi
No abstract provided.
Math 309-101: Math Analysis For Tech, J.H. Ro
Math 309-101: Math Analysis For Tech, J.H. Ro
Mathematical Sciences Syllabi
No abstract provided.
Math 340-001: Applied Numerical Methods, B. Bukiet
Math 340-001: Applied Numerical Methods, B. Bukiet
Mathematical Sciences Syllabi
No abstract provided.
Math 333: Probability & Statistics, Mathematical Science Department
Math 333: Probability & Statistics, Mathematical Science Department
Mathematical Sciences Syllabi
No abstract provided.
Math 135-001: Calculus For Business, C. Kim
Math 135-001: Calculus For Business, C. Kim
Mathematical Sciences Syllabi
No abstract provided.
Math 279-007: Stats & Probabilty For Engr, F. Jamedar
Math 279-007: Stats & Probabilty For Engr, F. Jamedar
Mathematical Sciences Syllabi
No abstract provided.
Math 244-001: Intro To Provababilty Theory, S. Subramanian
Math 244-001: Intro To Provababilty Theory, S. Subramanian
Mathematical Sciences Syllabi
No abstract provided.
Math 279-103: Stats & Probabilty For Engr, F. Jamedar
Math 279-103: Stats & Probabilty For Engr, F. Jamedar
Mathematical Sciences Syllabi
No abstract provided.
Math 138-101: General Calculus I, M. Hercules-Menjivar
Math 138-101: General Calculus I, M. Hercules-Menjivar
Mathematical Sciences Syllabi
No abstract provided.
Math 661-851: Applied Statistics, A. Pole
Math 661-851: Applied Statistics, A. Pole
Mathematical Sciences Syllabi
No abstract provided.
Math 305-101: Statistics-Technology, D. Schmidt
Math 305-101: Statistics-Technology, D. Schmidt
Mathematical Sciences Syllabi
No abstract provided.
Math 545-001: Intro Math Analysis, D. Shirokoff
Math 545-001: Intro Math Analysis, D. Shirokoff
Mathematical Sciences Syllabi
No abstract provided.
Math 222: Differential Equations, Mathematical Science Department
Math 222: Differential Equations, Mathematical Science Department
Mathematical Sciences Syllabi
No abstract provided.
Math 391-001: Numerical Linera Algebra, M. Siegel
Math 391-001: Numerical Linera Algebra, M. Siegel
Mathematical Sciences Syllabi
No abstract provided.
Math 322-101: Diff Eqns For Tech, B. Patiak
Math 322-101: Diff Eqns For Tech, B. Patiak
Mathematical Sciences Syllabi
No abstract provided.
Math 105-001, 009: Elem Probability & Statistics, B. Mafarjeh
Math 105-001, 009: Elem Probability & Statistics, B. Mafarjeh
Mathematical Sciences Syllabi
No abstract provided.
Math 662-101: Probability Distributions, S. Dhar
Math 662-101: Probability Distributions, S. Dhar
Mathematical Sciences Syllabi
No abstract provided.
Math 279-101: Stats & Probabilty For Engr, A. Ionescu
Math 279-101: Stats & Probabilty For Engr, A. Ionescu
Mathematical Sciences Syllabi
No abstract provided.