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book article
Watergenics AISRAS: real-time in-situ augmented Raman spectroscopy for acid-mine-drainage monitoring—and how universities can support deep-tech-startup development in the mining sector
Grafe, Bruno
;
Karu, Veiko
;
Stolzenberg, Sebastian
;
Tugaoen, Heather
;
Mantescu, Liviu
SOMP Annual General Meeting & Conference 2025 Conference Proceedings
2025
/
p. 42-56
https://rwth-aachen.sciebo.de/s/z2yMisYfjRQFbiW
book article
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keyword
54
1.
deep-tech
2.
deep donor-deep acceptor pairs
3.
challenges for women working in tech
4.
high tech industries
5.
high-tech industry
6.
linearization tech-niques
7.
mid-tech
8.
sustainable agri-tech
9.
tech–savvy narrative
10.
deep brain stimulation
11.
deep convolutional neural network
12.
Deep defects
13.
deep energy levels
14.
deep energy renovation
15.
deep eutectic solvents
16.
deep fake
17.
deep fake recognition
18.
deep habits
19.
deep heat well
20.
deep inference
21.
deep layer
22.
deep learning
23.
deep learning (DL)
24.
deep learning classifier
25.
deep learning method
26.
deep learning methods
27.
deep learning model
28.
deep learning model quantization
29.
deep learning network
30.
deep level
31.
deep level traps
32.
deep levels
33.
deep neural network
34.
deep neural network compression
35.
deep neural networks
36.
deep neural networks (DNNs)
37.
deep offshore
38.
deep packet inspection
39.
deep Q-network
40.
deep reinforcement learning
41.
Deep reinforcing learning SDN
42.
deep renovation
43.
deep understanding
44.
deep UV emission
45.
Deep-learning
46.
deep-learning (DL)
47.
deep-sea mining
48.
double deep Q-network
49.
embedded deep learning
50.
Multi-agent deep reinforcement learning
51.
natural deep eutectic solvents
52.
naturally available deep eutectic solvents
53.
nZEB deep energy renovation
54.
nZEB deep renovation
subject term
4
1.
Auve Tech
2.
Auve Tech OÜ
3.
EstMil.Tech 2026
4.
Paul-Tech OÜ
TalTech subject term
1
1.
Äio Tech
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