Zobrazeno 1 - 10
of 38
pro vyhledávání: '"David C. Anastasiu"'
Prospection of Peptide Inhibitors of Thrombin from Diverse Origins Using a Machine Learning Pipeline
Autor:
Nivedha Balakrishnan, Rahul Katkar, Peter V. Pham, Taylor Downey, Prarthna Kashyap, David C. Anastasiu, Anand K. Ramasubramanian
Publikováno v:
Bioengineering, Vol 10, Iss 11, p 1300 (2023)
Thrombin is a key enzyme involved in the development and progression of many cardiovascular diseases. Direct thrombin inhibitors (DTIs), with their minimum off-target effects and immediacy of action, have greatly improved the treatment of these disea
Externí odkaz:
https://doaj.org/article/056483d5e29b4558aa81577a9676cf77
Publikováno v:
Frontiers in Microbiology, Vol 12 (2022)
A majority of microbial infections are associated with biofilms. Targeting biofilms is considered an effective strategy to limit microbial virulence while minimizing the development of antibiotic resistance. Toward this need, antibiofilm peptides are
Externí odkaz:
https://doaj.org/article/591034abfabb45a4a6ae256e55a85dcf
Publikováno v:
2022 IEEE Global Humanitarian Technology Conference (GHTC).
Autor:
Arpita Vats, David C. Anastasiu
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Autor:
Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Alice Li, Shangru Li, Rama Chellappa
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
The 6th edition of the AI City Challenge specifically focuses on problems in two domains where there is tremendous unlocked potential at the intersection of computer vision and artificial intelligence: Intelligent Traffic Systems (ITS), and brick and
Publikováno v:
Journal of Big Data Analytics in Transportation. 2:235-250
With the advent of accurate deep learning-based object detection methods, it is now possible to employ prevalent city-wide traffic and intersection cameras to derive actionable insights for improving traffic, road infrastructure, and transit. A cruci
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031162893
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f0807c0cef4377c9b7236ac66ec0c8c
https://doi.org/10.1007/978-3-031-16290-9_58
https://doi.org/10.1007/978-3-031-16290-9_58
Publikováno v:
Frontiers in Microbiology, Vol 12 (2022)
A majority of microbial infections are associated with biofilms. Targeting biofilms is considered an effective strategy to limit microbial virulence while minimizing the development of antibiotic resistance. Toward this need, antibiofilm peptides are
Autor:
Vitaly Ablavsky, Pranamesh Chakraborty, Stan Sclaroff, Liang Zheng, Shuo Wang, Milind Naphade, Xiaodong Yang, David C. Anastasiu, Ming-Ching Chang, Qi Feng, Yue Yao, Anuj Sharma, Zheng Tang
Publikováno v:
CVPR Workshops
The AI City Challenge was created with two goals in mind: (1) pushing the boundaries of research and development in intelligent video analysis for smarter cities use cases, and (2) assessing tasks where the level of performance is enough to cause rea
Autor:
George Karypis, David C. Anastasiu
Publikováno v:
Journal of Parallel and Distributed Computing. 129:61-82
The nearest neighbor graph is an important structure in many data mining methods for clustering, advertising, recommender systems, and outlier detection. Constructing the graph requires computing up to n 2 similarities for a set of n objects. This hi