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Add a description, image, and links to the flow-detection topic page so that developers can more easily learn about it ...
In response to these challenges, we propose a fine-grained threat detection method based on flow semantic structure, with independent generalization capabilities, to refine the definition of flow and ...
These models are trained on clean, compliant, and non-public data – deeply integrated with business-critical processes. The Future of AI in Enterprise Software – and in Private Equity ...
Sign Language Detection : A Python project for detecting American Sign Language gestures using OpenCV and Mediapipe. The model recognizes signs from live web cam.
Sensitive measurement of the optoacoustic (OA, also photoacoustic) properties of cells in flow is highly desirable, as it provides information about the optical absorption properties of cellular ...
Multimodal sign language detection is a rich and expressive mode of communication predominantly used by the Deaf and Hard of Hearing (DHH) community. In recent years, sign language detection has ...
In this article, we have shown that sign language linguists are faced with a number of challenges that are either related to socio-linguistic aspects of the signing community (the data source problem) ...
Results and Discussion Detection of EV Surface Signatures With a Multiplex Bead-Based Flow-Cytometry Assay In this study, we aimed to systematically evaluate and explore the capabilities of a recently ...