Proceedings of the ASME Heat Transfer Division -- 2000: Heat transfer in turbomachinery. Artificial neural networks for thermal systems and materials processing and manufacturing. Transport phenomena in materials processing and manufacturing. Transport phenomena in composite materials processing. Transport phenomena in spray and co
... systems as being controlled in one of , or combinations of , two manners ... process variation such as electrode degradation . Feedback structures use a ... ____ = [ 8 ,, ] y = f ( u ) af G = âu yo no Qt → Tp Vp Figure 1 : MIMO ...
Related books - Readers Also Liked
Proceedings of the ASME Heat Transfer Division, 2000: Presented at the 2000 ASME International Mechanical Engineering Congress and Exposition, November 5-10, 2000, Orlando, Florida
Proceedings of the ASME Heat Transfer Division--2000: Presented at the 2000 ASME International Mechanical Engineering Congress and Exposition, November 5-10, 2000, Orlando, Florida
... Ta = 5000 , the Stanton number does not approach the laminar correlation in the downstream region , but St in the entrance region departs from the turbulent correlation , as seen in Fig . 2. This implies that as the flow goes downstream ...
Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation: 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part I
... probability of the entity's existence and orientation represents properties ... theory of neural networks and a new direction in the field of deep learning. The ... 10 [4]. Using the single CapsNet model same as [3], Xi et al. [5] reached ...
Thermal Spray 2007: Global Coating Solutions: Proceedings of the 2007 International Thermal Spray Conference
... Honda, Electrochemical Photolysis of Water at a Semiconductor Electrode, Nature, Vol 238, 1972, p. 37-38 2. D.F. ... p. 1381-1389 7. S.-Q. Fan, C.-J. Li, C.-X. Li, G.-J. Liu, L.-Z. Zhang, and G.-J. Yang, Primary Study of Performance of ...
Proceedings of the ASME Heat Transfer Division: 1998. Application of heat transfer in equipment, systems and education
... answers to this ... 8th ed . , McGraw - Hill . Roberson , J.A. and Crowe , C.T. , 1997 , Engineering Fluid Mechanics , 6th ed . , J.Wiley & Sons . Van Wylen , G. , Sonntag , R. and Borgnakke , C. , 1994 , Fundamentals of Classical ...
Thermal Spray 2004: Advances in Technology and Application : Proceedings of the International Thermal Spray Conference, 10-12 May, 2004, Osaka, Japan
... diameter of test specimen. The method was first applied to APS coatings and then ... cylinder, APS spraying is first applied to the cylindrical type specimens ... Praxair, USA) was used to spray coatings. SUS316L powder (Fe balance, Cr ...
Thermal Spray 2004: Advances in Technology and Application : Proceedings of the International Thermal Spray Conference, 10-12 May, 2004, Osaka, Japan
... ASTM G75 procedure was adopted to determine the wear resistance of the coatings . Slurry from distilled water and corundum particles ( -63 + 45 μm ) was used for 2304 m long runs with samples of 25.4 x 12.7 mm in dimension . Vickers ...
Thermal Spray: Meeting the Challenges of the 21st Century : Proceedings of the 15th International Thermal Spray Conference, 25-29 May 1998, Nice, France
... (ASTM D3702-78) and a hard-chromium plated counterbody, also decreased to 0.25 at a temperature of 400°C. This should be due to a super polishing surface effect that could be the result of the wear debris acting as a fine polishing agent ...
Thermal Spray 2001: New Surfaces for a New Millenium; Proceedings of the 2nd International Thermal Spray Conference, 28-30 May, 2001, Singapore
... EN ISO 14922 and the approval test for the qualified sprayer to the also new DIN EN ISO 14918 . The worked out standards in question supported by internationally harmonized regulations for education and examination of special personnel ...
Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing: 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part III
... dropout layers only in the two layers just before the YOLOv3 detection ... uncertainty representing variance when detecting multiple times using MC ... Bayesian convolutional neural networks with Bernoulli approximate variational ...
Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series: 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part IV
... summarization model that decouples the syntactic analysis process from the ... sentence. Although this approach can theoretically handle both extractive and abstractive ... Fast abstractive summarization with reinforce-selected sentence ...
Artificial Neural Networks and Machine Learning – ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26–29, 2023, Proceedings, Part II
... F1-score heavily. Near 1 balanced accuracy score for both experiment setups ... 2011-0117. References 1. Ahangaryan, F.P., Mohammadpour, T., Kianisarkaleh ... (2011) 5. Brodersen, K.H., Ong, C.S., Stephan, K.E., Buhmann, J.M.: The balanced accu ...
Artificial Neural Networks and Machine Learning – ICANN 2021: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14–17, 2021, Proceedings, Part V
... abstractive summarization. In: Proceedings of the 58th Annual Meeting of the ... Fast abstractive summarization with reinforce-selected sentence rewriting ... abstractive summarization using inconsistency loss. In: ACL 2018: 56th Annual Meeting ...
Artificial Neural Networks and Machine Learning – ICANN 2016: 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part I
... Introduction to Algorithms, 3rd edn. The MIT Press, Cambridge (2009) Daniel ... Newman, M.E.J.: Community structure in social and biological networks. In ... Networks: An Introduction. Oxford University Press, New York (2010) Newman ...
Artificial Neural Networks and Machine Learning – ICANN 2018: 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part III
... training workers. This coarse-grained parallelism strategy significantly accelerates the training of network models ... Caffe, and name the FiLayer-based system as LP-Caffe. The experimental results show that speedups of 1.58×–2.19× are ...
Artificial Neural Networks and Machine Learning – ICANN 2020: 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part II
... Dropout on an FPGA using edge computing. References 1. Feng, D., Rosenbaum, L., Dietmayer, K.: Towards safe autonomous driving: capture uncertainty in the deep neural network for Lidar 3D vehicle detection. In: 2018 21st International ...
Artificial Neural Networks and Machine Learning – ICANN 2021: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14–17, 2021, Proceedings, Part I
... Foolbox: a python toolbox to benchmark the robustness of machine learning models (2017). arXiv preprint arXiv:1707.04131 8. Katz, G., Barrett, C., Dill, D.L., Julian, K., Kochenderfer, M.J.: Reluplex: an efficient SMT solver for ...
Artificial Neural Networks and Machine Learning – ICANN 2021: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14–17, 2021, Proceedings, Part IV
... HGR applications since the parameter estimation in non-stationary processes is difficult. Therefore, machine learning (ML) and deep learning (DL) techniques are typically used to classify EMG signals [4,7]. In particular, supervised ...
Artificial Neural Networks and Machine Learning – ICANN 2022: 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings, Part I
... uncertainty estimation methods. We reveal that label noise has a stronger impact on the reliability of uncertainty ... Dropout as a Bayesian approximation: representing model uncertainty in deep learning. International Conference on Machine ...
Artificial Neural Networks and Machine Learning – ICANN 2021: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14–17, 2021, Proceedings, Part III
... (RSB) RSN-18 26.0 27.6 Table 3. Ablation study on different modules, 1s means single-stage, Input size of backbone network is 64 × 48. Ours (Res) and Ours (RSB) mean that bottleneck is Residual block and Residual Steps Block ...
Artificial Neural Networks and Machine Learning – ICANN 2017: 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part II
... IMDB4. The four datasets have 3,772, 10,662, 10624, 50,000 instances respectively and the positive and negative instances rates are 0.64/0.36, 0.31/0.69, 0.5/0.5,0.5/0.5. In this research, for the first three datasets, we randomly split ...
Artificial Neural Networks and Machine Learning – ICANN 2022: 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings, Part II
... IMDB4, Rotten Tomatoes5). Movie reviews and ratings have become important references for consumers to make choices on purchasing movie tickets [17]. Exist- ing research shows that positive word of mouth of movies (including reviews and ...
Artificial Neural Networks and Machine Learning - ICANN 2011: 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part I
... phoneme classification is a subtask) are learned with equal learning rate ... Table 1compares the frame level articulatory feature and phoneme ... Table 1. Frame level articulatory feature and phoneme classification accuracies. 1 http ...
Artificial Neural Networks and Machine Learning – ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26–29, 2023, Proceedings, Part VII
... training for ASR. In: 2020 IEEE International Conference on Acoustics, Speech and ... frame- work for self-supervised learning of speech representations. In ... 1911 (2021). https://doi.org/10.1109/TASLP.2021.3082299 6. Chiu, C.C., et al ...
Artificial Neural Networks and Machine Learning – ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26–29, 2023, Proceedings, Part V
... Customer Service Dialogue Text Shengjie Ji12 , Chun Chen1 , 2 , and Fang Kong1 , 2 ( ) Laboratory for Natural Language Processing , Soochow University , Suzhou , China { 20215227043 ... Customer Service Dialogue Text 1 Introduction.
This website uses cookies and collects data for optimal performance. Your continued use signifies agreement to our Privacy Policy.
