Electronic Computing Equipment Schemes Elements Placement Based on Hybrid Intelligence Approach

2015 ◽  
pp. 35-44 ◽  
Author(s):  
L. A. Gladkov ◽  
N. V. Gladkova ◽  
S. N. Leiba
Keyword(s):  
Electronic Computing ◽  
Hybrid Intelligence ◽  
Intelligence Approach

A hybrid intelligence approach for sustainable service innovation of smart and connected product: A case study

2020 ◽  
Vol 46 ◽  
pp. 101163 ◽  
Author(s):  
Lingguo Bu ◽  
Chun-Hsien Chen ◽  
Geng Zhang ◽  
Bufan Liu ◽  
Guijun Dong ◽  
...  
Keyword(s):  
Service Innovation ◽  
Hybrid Intelligence ◽  
Intelligence Approach

Improvement of fault diagnosis efficiency in nuclear power plants using hybrid intelligence approach

2014 ◽  
Vol 76 ◽  
pp. 122-136 ◽  
Author(s):  
Yong-kuo Liu ◽  
Chun-li Xie ◽  
Min-jun Peng ◽  
Shuang-han Ling
Keyword(s):  
Fault Diagnosis ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Hybrid Intelligence ◽  
Intelligence Approach

scholarly journals A Novel Approach for Automatic Detection of Concrete Surface Voids Using Image Texture Analysis and History-Based Adaptive Differential Evolution Optimized Support Vector Machine

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Nhat-Duc Hoang ◽  
Quoc-Lam Nguyen
Keyword(s):  
Differential Evolution ◽  
Texture Analysis ◽  
Concrete Surface ◽  
Image Texture ◽  
Support Vector ◽  
Image Texture Analysis ◽  
Promising Alternative ◽  
Adaptive Differential Evolution ◽  
Hybrid Intelligence ◽  
Intelligence Approach

To inspect the quality of concrete structures, surface voids or bugholes existing on a concrete surface after the casting process needs to be detected. To improve the productivity of the inspection work, this study develops a hybrid intelligence approach that combines image texture analysis, machine learning, and metaheuristic optimization. Image texture computations employ the Gabor filter and gray-level run lengths to characterize the condition of a concrete surface. Based on features of image texture, Support Vector Machines (SVM) establish a decision boundary that separates collected image samples into two categories of no surface void (negative class) and surface void (positive class). Furthermore, to assist the SVM model training phase, the state-of-the-art history-based adaptive differential evolution with linear population size reduction (L-SHADE) is utilized. The hybrid intelligence approach, named as L-SHADE-SVM-SVD, has been developed and complied in Visual C#.NET framework. Experiments with 1000 image samples show that the L-SHADE-SVM-SVD can obtain a high prediction accuracy of roughly 93%. Therefore, the newly developed model can be a promising alternative for construction inspectors in concrete quality assessment.

scholarly journals A novel hybrid intelligence approach for 2D packing through internet crowdsourcing

2015 ◽  
Author(s):  
Anupam Agrawal ◽  
Parmatma Yadav ◽  
C. K. Upadhyay ◽  
Jonathan R. Corney ◽  
G.V. Annamalai Vasantha ◽  
...  
Keyword(s):  
Hybrid Intelligence ◽  
Intelligence Approach

scholarly journals A hybrid intelligence approach to artifact recognition in digital publishing

2006 ◽  
Author(s):  
J. Fernando Vega-Riveros ◽  
Hector J. Santos Villalobos
Keyword(s):  
Digital Publishing ◽  
Hybrid Intelligence ◽  
Intelligence Approach

A hybrid intelligence approach for power quality disturbances detection and classification

2012 ◽  
Vol 23 (7) ◽  
pp. 914-929 ◽  
Author(s):  
Zahra Moravej ◽  
Mohammad Pazoki ◽  
Mohsen Niasati ◽  
Ali Akbar Abdoos
Keyword(s):  
Power Quality ◽  
Hybrid Intelligence ◽  
Power Quality Disturbances ◽  
Intelligence Approach

Shallow landslide susceptibility assessment using a novel hybrid intelligence approach

2017 ◽  
Vol 76 (2) ◽  
Author(s):  
Ataollah Shirzadi ◽  
Dieu Tien Bui ◽  
Binh Thai Pham ◽  
Karim Solaimani ◽  
Kamran Chapi ◽  
...  
Keyword(s):  
Landslide Susceptibility ◽  
Shallow Landslide ◽  
Susceptibility Assessment ◽  
Landslide Susceptibility Assessment ◽  
Hybrid Intelligence ◽  
Intelligence Approach

Mapping Groundwater Potential Using a Novel Hybrid Intelligence Approach

2018 ◽  
Vol 33 (1) ◽  
pp. 281-302 ◽  
Author(s):  
Shaghayegh Miraki ◽  
Sasan Hedayati Zanganeh ◽  
Kamran Chapi ◽  
Vijay P. Singh ◽  
Ataollah Shirzadi ◽  
...  
Keyword(s):  
Groundwater Potential ◽  
Hybrid Intelligence ◽  
Intelligence Approach

Hybrid Intelligence Framework for Augmented Analytics

2021 ◽  
pp. 22-45
Author(s):  
Alexander P. Ryjov
Keyword(s):  
Artificial Intelligence ◽  
Cooperative Interaction ◽  
Success Factor ◽  
Government Organizations ◽  
Complex Processes ◽  
Evaluation Approach ◽  
Wide Range ◽  
Hybrid Intelligence ◽  
Key Success Factor ◽  
Intelligence Approach

Analytics is a key success factor for any business in the competitive and fast-changing world we live in. Using analytics, people, business, social, and government organizations become capable of understanding the past, including lessons from faults and achievements; realize current strengths, weaknesses, opportunities, and threats; and predict the future. Intelligent analytics allow doing these more effectively and efficiently. Modern analytics uses many advanced techniques like big data, artificial intelligence, and many others. This chapter aims to introduce the hybrid intelligence approach by focusing on its unique analytical capabilities. The state-of-the-art in hybrid intelligence—symbiosis and cooperative interaction between human intelligence and artificial intelligence in solving a wide range of practical tasks—and one of the hybrid intelligence frameworks—a human-centered evaluation approach and monitoring of complex processes—have been considered in this chapter. The chapter could be interesting for analysts and researchers who desire to do analytics with more intelligence.

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