nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A comparison of machine learning methods for cutting parameters prediction in high speed turning process
|
Jurkovic, Zoran |
|
2016 |
29 |
8 |
p. 1683-1693 |
artikel |
2 |
A heuristic optimization algorithm for HMM based on SA and EM in machinery diagnosis
|
Liao, Wenzhu |
|
2016 |
29 |
8 |
p. 1845-1857 |
artikel |
3 |
A hybrid approach using genetic and fruit fly optimization algorithms for QoS-aware cloud service composition
|
Seghir, Fateh |
|
2016 |
29 |
8 |
p. 1773-1792 |
artikel |
4 |
An ACO-based hyperheuristic with dynamic decision blocks for intercell scheduling
|
Tian, Yunna |
|
2016 |
29 |
8 |
p. 1905-1921 |
artikel |
5 |
A new method of reusing the manufacturing information for the slightly changed 3D CAD model
|
Liu, Jinfeng |
|
2016 |
29 |
8 |
p. 1827-1844 |
artikel |
6 |
A novel inverted fuzzy decoupling scheme for MIMO systems with disturbance: a case study of binary distillation column
|
Hamdy, Mohamed |
|
2016 |
29 |
8 |
p. 1859-1871 |
artikel |
7 |
A sensor fusion and support vector machine based approach for recognition of complex machining conditions
|
Liu, Changqing |
|
2016 |
29 |
8 |
p. 1739-1752 |
artikel |
8 |
Automatic microstructural characterization and classification using probabilistic neural network on ultrasound signals
|
Vejdannik, Masoud |
|
2016 |
29 |
8 |
p. 1923-1940 |
artikel |
9 |
Capacity planning with ant colony optimization for TFT-LCD array manufacturing
|
Chen, James C. |
|
2016 |
29 |
8 |
p. 1695-1713 |
artikel |
10 |
Erratum to: Modeling preventive maintenance of manufacturing processes with probabilistic Boolean networks with interventions
|
Rivera Torres, Pedro J. |
|
2017 |
29 |
8 |
p. 1953 |
artikel |
11 |
Modeling preventive maintenance of manufacturing processes with probabilistic Boolean networks with interventions
|
Rivera Torres, Pedro J. |
|
2018 |
29 |
8 |
p. 1941-1952 |
artikel |
12 |
Multi-objective optimization of machining and micro-machining processes using non-dominated sorting teaching–learning-based optimization algorithm
|
Rao, R. Venkata |
|
2016 |
29 |
8 |
p. 1715-1737 |
artikel |
13 |
On-line fault diagnosis of FMS based on flows analysis
|
Fakhfakh, Olfa |
|
2016 |
29 |
8 |
p. 1891-1904 |
artikel |
14 |
Potential of soft computing approach for evaluating the factors affecting the capacity of steel–concrete composite beam
|
Toghroli, Ali |
|
2016 |
29 |
8 |
p. 1793-1801 |
artikel |
15 |
Risk measurement and prioritization of auto parts manufacturing processes based on process failure analysis, interval data envelopment analysis and grey relational analysis
|
Baghery, Majid |
|
2016 |
29 |
8 |
p. 1803-1825 |
artikel |
16 |
The (p, q, r, l) model for stochastic demand under Intuitionistic fuzzy aggregation with Bonferroni mean
|
De, Sujit Kumar |
|
2016 |
29 |
8 |
p. 1753-1771 |
artikel |
17 |
Tool wear monitoring and prognostics challenges: a comparison of connectionist methods toward an adaptive ensemble model
|
Javed, Kamran |
|
2016 |
29 |
8 |
p. 1873-1890 |
artikel |