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9 Results Found

  • Article
  • Open Access
15 Citations
2,933 Views
25 Pages

30 June 2022

For data-driven intelligent manufacturing, many important in-process parameters should be estimated simultaneously to control the machining precision of the parts. However, as two of the most important in-process parameters, there is a lack of multi-...

(This article belongs to the Special Issue Application of Advanced Sensors Systems and Artificial Intelligence in Machining)
  • Article
  • Open Access
6 Citations
3,460 Views
26 Pages

Face recognition (FR) in unconstrained conditions remains an open research topic and an ongoing challenge. The facial images exhibit diverse expressions, occlusions, variations in illumination, and heterogeneous backgrounds. This work aims to produce...

  • Article
  • Open Access
13 Citations
3,132 Views
22 Pages

Hyper-Parameter Optimization of Stacked Asymmetric Auto-Encoders for Automatic Personality Traits Perception

  • Effat Jalaeian Zaferani,
  • Mohammad Teshnehlab,
  • Amirreza Khodadadian,
  • Clemens Heitzinger and ,
  • Mansour Vali,
  • Nima Noii and
  • Thomas Wick
  • + 2 authors+ 0 author

18 August 2022

In this work, a method for automatic hyper-parameter tuning of the stacked asymmetric auto-encoder is proposed. In previous work, the deep learning ability to extract personality perception from speech was shown, but hyper-parameter tuning was attain...

(This article belongs to the Special Issue Computer Vision and Machine Learning for Intelligent Sensing Systems)
  • Article
  • Open Access
12 Citations
3,740 Views
24 Pages

The low investment cost is one of the core competitiveness advantages of pneumatic power systems. With increasingly pressing intelligent manufacturing, it is meaningful to investigate the feasibility of implementing fault diagnoses of pneumatic syste...

(This article belongs to the Section Systems & Control Engineering)
  • Article
  • Open Access
22 Citations
10,557 Views
27 Pages

2 October 2020

In-line anomaly detection (AD) not only identifies the needs for semiconductor equipment maintenance but also indicates potential line yield problems. Prompt AD based on available equipment sensory data (ESD) facilitates proactive yield and operation...

(This article belongs to the Special Issue Selected Papers about Sensor Application from 16th International Conference on Automation Technology)
  • Article
  • Open Access
14 Citations
4,617 Views
19 Pages

Distributed Deep Features Extraction Model for Air Quality Forecasting

  • Axel Gedeon Mengara Mengara,
  • Younghak Kim,
  • Younghwan Yoo and
  • Jaehun Ahn

28 September 2020

Several studies in environmental engineering emphasize the importance of air quality forecasting for sustainable development around the world. In this paper, we studied a new approach for air quality forecasting in Busan metropolitan city. We propose...

  • Article
  • Open Access
47 Citations
6,481 Views
34 Pages

Attention-Based Distributed Deep Learning Model for Air Quality Forecasting

  • Axel Gedeon Mengara Mengara,
  • Eunyoung Park,
  • Jinho Jang and
  • Younghwan Yoo

10 March 2022

Air quality forecasting has become an essential factor in facilitating sustainable development worldwide. Several countries have implemented monitoring stations to collect air pollution particle data and meteorological information using parameters su...

(This article belongs to the Section Sustainable Engineering and Science)
  • Article
  • Open Access
5 Citations
2,952 Views
14 Pages

Dangerous human behavior in the driving sense may cause traffic accidents and even cause economic losses and casualties. Accurate identification of dangerous human behavior can prevent potential risks. To solve the problem of difficulty retaining the...

(This article belongs to the Special Issue Machine Learning Techniques for Image Processing)
  • Article
  • Open Access
7 Citations
2,615 Views
18 Pages

11 April 2022

Due to the complex working medium of oil in construction engineering, the waterproof valve in mixing machinery can easily cause different degrees of failure. Moreover, under adverse working conditions and complicated noise backgrounds, it is very dif...

(This article belongs to the Special Issue New Challenges in Electrohydraulic Control System and Energy Saving)