Awesome Data Science with Python A curated list of awesome resources for practicing data science using Python, including not only libraries, but also links to tutorials, code snippets, blog posts and talks. Core pandas - Data structures built on top of numpy. scikit-learn - Core ML library, ...
Two of the input lines are also used for special ADC trigger and counter gate functions. The status port (at base + 8) is read-only. It contains information about the ADC and interrupt status. This information includes whether the ADC is busy or has valid data and if the analog inputs...
In Proceedings of the 14th python in science conference, vol. 130, 136 (Citeseer, 2015). Guerrero-Higueras, Á. M., DeCastro-García, N. & Matellán, V. Detection of cyber-attacks to indoor real time localization systems for autonomous robots. Robot. Auton. Syst. 99, 75–83 (2018)...
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The results presented in this paper are part of the GATE project. The project has received funding from the European Union’s Horizon 2020 WIDESPREAD-2018-2020 TEAMING Phase 2 programme under Grant Agreement No. 857155 and Operational Programme Science and Education for Smart Growth under Grant Agr...
Through the quantification of physical activity energy expenditure (PAEE), health care monitoring has the potential to stimulate vital and healthy ageing,
- 《Journal of Marine Science & Engineering》 被引量: 0发表: 2024年 Underwater Acoustic Target Classification Using Scattering Transform With Small Sample Size To evaluate our proposed architecture, we conduct two classification tasks using the ShipsEar database and the DeepShip dataset. The first ...
FlowJo v10.7.1 was used to visualize the data and used to gate out beads, dead cells, doublets, and cell debris. MAIT cells were identified by expression of CD3, CD161, and TCR Vα 7.2 as shown in Figure S7. Weighted Nearest Neighbor Analysis The weighted nearest neighbor (WNN) ...
This pioneering work opened the gate to many interesting questions: can molecular machines be used to solve intractable problems? Is DNA suitable for long-term storage of digital information? More recently, are such methods scalable in the era of Big Data? The focus has gradually changed from ...
The use of quantum computing for machine learning is among the most exciting prospective applications of quantum technologies. However, machine learning tasks where data is provided can be considerably different than commonly studied computational tasks.