Abstract: Sharding technologies allow the Internet of Things (IoT) to deploy blockchains in large-scale applications with good scalability. However, conventional sharding strategies in IoT blockchain ...
The complex landscape of cardiovascular diseases encompasses a wide range of related pathologies arising from diverse molecular mechanisms and exhibiting heterogeneous phenotypes. This variety of ...
⚡️ 72× faster than PTv3 for end-to-end semantic segmentation ⚡️ 5.3x faster than SPT for end-to-end semantic segmentation Simply run install.sh to install all dependencies in a new conda environment ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Spray drying is used in the pharmaceutical industry for particle engineering of ...
Most reaction rate theories start from the assumption of quasi-equilibrium attained in a given reactant before the reaction occurs. However, in complex networks with multiple nodes, it remains unclear ...
Time series segmentation (TSS) tries to partition a time series (TS) into semantically meaningful segments. It's an important unsupervised learning task applied to large, real-world sensor signals for ...
Machine learning (ML) approaches are a collection of algorithms that attempt to extract patterns from data and to associate such patterns with discrete classes of samples in the data—e.g., given a ...
Department of Chemical Engineering and Analytical Science, School of Engineering, The University of Manchester, Manchester M13 9PL, United Kingdom Department of Chemical Engineering and Analytical ...
Use of machine learning (ML) in clinical research is growing steadily given the increasing availability of complex clinical data sets. ML presents important advantages in terms of predictive ...
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