Bioprocess developers have long known that the cell culture suite is where therapeutic proteins earn—or lose—their quality. Subtle shifts in raw materials, cell line genetics, or control ranges can ...
ABSTRACT: The diagnosability of interconnection networks serves as a critical metric for evaluating the reliability of multiprocessor systems, as it quantifies the system’s capability to identify ...
Abstract: Finding important edges in a graph is a crucial problem for various research fields, such as network epidemics, signal processing, machine learning, and sensor networks. In this paper, we ...
Abstract: Graph Signal Processing (GSP), an emerging field, provides a flexible framework to model and analyze Electroencephalogram (EEG) sensor data that exhibit intricate relationships and ...
Microsoft Corp. today is expanding its Fabric data platform with the addition of native graph database and geospatial mapping capabilities, saying the enhancements enhance Fabric’s capacity to power ...
The art of finding patterns or communities plays a central role in the analysis of structured data such as networks. Community detection in graphs has become a field on its own. Real-world networks, ...
STG-DMD (Sparse-Coded Time-Delay Graph Dynamic Mode Decomposition) is a data-driven framework for modeling nonlinear dynamics on graph structures. It integrates: StgDmd/ ├── code/ │ ├── artificial/ │ ...
College of Computing, Khon Kaen University, Khon Kaen 40002, Thailand Department of Computer Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand Department of ...
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