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book article
A conceptual framework for software developing in mechanical CAD
Kalja, Ahto
;
Tiidemann, Mart
;
Tiidemann, Tiit
OST-97 Symposium on Machine Design, Tallinn, Estonia, May 22-23, 1997 : proceedings
1997
/
p. 120-128: ill
https://www.ester.ee/record=b1083704*est
book article
Number of records 1, displaying
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keyword
109
1.
machine elements
2.
machine-to-machine communications
3.
accumulation of metallic elements
4.
air permeability of building components and building elements
5.
ecosystem elements
6.
finite elements method
7.
formal and combined safety elements
8.
immobile elements
9.
micro-grooved elements
10.
micro-perforated elements
11.
mixed-order elements
12.
mobile genetic elements
13.
modular prefabricated elements
14.
potentially toxic elements
15.
potentially toxic elements (PTEs)
16.
prefab modluar multifunctional elements
17.
prefabricated additional insulation elements
18.
prefabricated insulation elements
19.
prefabricated timber frame insulation elements
20.
prefabricated wooden modular elements
21.
rare earth elements
22.
rare earth elements (REE)
23.
rare-earth elements
24.
redox-sensitive elements
25.
structural concrete elements
26.
structural elements
27.
timber frame elements
28.
trace elements
29.
transcriptional regulatory elements
30.
AC machine
31.
adversarial machine learning
32.
adversarial machine-learning
33.
Algorithmic State Machine - ASM
34.
automatic machine learning (autoML)
35.
axial flux machine
36.
axial flux switched reluctance machine
37.
bearingless machine
38.
brushless machine
39.
coordinate measurring machine
40.
electric machine
41.
electric machine analysis computing
42.
electric machine control
43.
electrical machine
44.
electrical machine cooling
45.
electrical machine design
46.
finite state machine
47.
Finite State Machine - FSM
48.
graph machine learning
49.
hierarchical finite state machine
50.
human machine interaction
51.
human machine systems
52.
human-machine interaction
53.
human-machine interface
54.
human-machine system
55.
induction machine
56.
interior permanent magnet machine
57.
interior permanent-magnet synchronous machine (IPMSM)
58.
linear machine
59.
machine bearings
60.
machine condition monitoring
61.
machine control
62.
machine design
63.
machine error
64.
machine housing
65.
machine learning
66.
machine learning (ML)
67.
machine learning algorithms
68.
machine learning approach
69.
Machine Learning Explainable model
70.
machine learning for environmental applications
71.
machine learning models
72.
machine learning systems
73.
machine tools
74.
machine vector control
75.
machine windings
76.
machine vision
77.
machine-learning
78.
machine-learning predictive model
79.
machine-translation
80.
man-machine systems
81.
massive machine-type communication (mMTC)
82.
massive machine-type communications (mMTC)
83.
massive Machine-Type connections (mMTC)
84.
multi-class support vector machine (m-SVM)
85.
multi-machine
86.
multi-machine industrial power plant
87.
multi-machine power system
88.
multi-stream interaction machine
89.
outer-rotor machine
90.
Parkinson’s disease machine learning
91.
permanent magnet (PM) synchronous machine
92.
permanent magnet flux-switching machine
93.
permanent magnet machine
94.
permanent magnet synchronous machine (PMSM)
95.
robust machine learning
96.
sewing machine operator
97.
small data machine learning
98.
state machine
99.
supervised machine learning
100.
support vector machine
101.
surface permanent magnet machine (SPM)
102.
switched reluctance machine
103.
switched reluctance machine (SRM)
104.
synchronous machine
105.
TBM (tunnel boring machine)
106.
totally enclosed fan-cooled machine
107.
universal friction machine
108.
unsupervised machine learning
109.
virtual synchronous machine
author
1
1.
ELIXIR Machine Learning Focus Group
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