1.
SegEM: Efficient Image Analysis for High-Resolution Connectomics
by Berning, Manuel
Neuron (Cambridge, Mass.), 2015-09-23, Vol.87 (6), p.1193-1206
2.
Constructive cooperative coevolutionary optimisation for interacting production stations
by Glorieux, Emile
International journal of advanced manufacturing technology, 2015-04-02, Vol.80 (1-4), p.673-688
3.
A framework for simulation-based multi-objective optimization and knowledge discovery of machining process
by Amouzgar, Kaveh
International journal of advanced manufacturing technology, 2018-07-10, Vol.98 (9-12), p.2469-2486
4.
Effect of orientations of an irregular part in vibratory part feeders
by Suresh, M
International journal of advanced manufacturing technology, 2017-09-17, Vol.94 (5-8), p.2689-2702
5.
Dynamic task classification and assignment for the management of human-robot collaborative teams in workcells
by Bruno, Giulia
International journal of advanced manufacturing technology, 2018-07-09, Vol.98 (9-12), p.2415-2427
6.
Description logic-based automatic generation of geometric tolerance zones
by Qin, Yuchu
International journal of advanced manufacturing technology, 2015-02-28, Vol.79 (5-8), p.1221-1237
7.
Influence of process parameters on part quality and mechanical properties for DMLS and SLM with iron-based materials
by Delgado, Jordi
International journal of advanced manufacturing technology, 2011-09-23, Vol.60 (5-8), p.601-610
8.
Advanced 3D printing technologies for the aircraft industry: a fuzzy systematic approach for assessing the critical factors
by Wang, Yu-Cheng
International journal of advanced manufacturing technology, 2018-04-05, Vol.105 (10), p.4059-4069
9.
Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study
by Kickingereder, Philipp
The lancet oncology, 2019-05, Vol.20 (5), p.728-740
10.
A workcell calibration method for enhancing accuracy in robot machining of aerospace parts
by Leali, Francesco
International journal of advanced manufacturing technology, 2014-06-12, Vol.85 (1-4), p.47-55
11.
Polishing pressure investigations of robot automatic polishing on curved surfaces
by Tian, Fengjie
International journal of advanced manufacturing technology, 2016-02-27, Vol.87 (1-4), p.639-646
12.
Buparlisib plus fulvestrant in postmenopausal women with hormone-receptor-positive, HER2-negative, advanced breast cancer progressing on or after mTOR inhibition (BELLE-3): a rando...
by Di Leo, Angelo
The lancet oncology, 2018-01, Vol.19 (1), p.87-100
13.
Friction stir welding: Process, automation, and control
by Gibson, B.T
Journal of manufacturing processes, 2014-01, Vol.16 (1), p.56-73
14.
Xpert MTB/RIF Ultra for detection of Mycobacterium tuberculosis and rifampicin resistance: a prospective multicentre diagnostic accuracy study
by Dorman, Susan E
The Lancet infectious diseases, 2018-01, Vol.18 (1), p.76-84
15.
Significant increase in cultivation of Gardnerella vaginalis, Alloscardovia omnicolens, Actinotignum schaalii, and Actinomyces spp. in urine samples with total laboratory automatio...
by Klein, Sabrina
European journal of clinical microbiology & infectious diseases, 2018-04-13, Vol.37 (7), p.1305-1311
16.
A deep convolutional neural network model to classify heartbeats
by Acharya, U. Rajendra
Computers in biology and medicine, 2017-10-01, Vol.89, p.389-396
17.
Taxonomic assignment of uncultivated prokaryotic virus genomes is enabled by gene-sharing networks
by Bin Jang, Ho
Nature biotechnology, 2019-06, Vol.37 (6), p.632-639
18.
Network Homeostasis and State Dynamics of Neocortical Sleep
by Watson, Brendon O
Neuron (Cambridge, Mass.), 2016-05-18, Vol.90 (4), p.839-852
19.
Successful completion of a semi-automated enzyme-free cloning method
by Bonacci, Stefano
Journal of structural and functional genomics, 2016-08-09, Vol.17 (2-3), p.57-66
20.
Automated deep-neural-network surveillance of cranial images for acute neurologic events
by Titano, Joseph J
Nature medicine, 2018-09, Vol.24 (9), p.1337-1341
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