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A Boosting Regression Based Method to Evaluate the Vital Essence in Semiconductor Industry Performance

Ping-Yu Hsu, I-Wen Yeh, Ching-Hsun Tseng, Shin-Jye Lee
2020 IEEE Access  
To avoid this weakness, this paper therefore applies a gradient boosting based method -XGBoost to evaluate the feature importance of semiconductor industries.  ...  How to evaluate the completive performance of modern industries is an increasing issue, especially for the semiconductor industries in these decades.  ...  ACKNOWLEDGEMENTS This research is partially supported by the Ministry of Science and Technology research grant in Taiwan (MOST 109-2221-E-009 -098 -).  ... 
doi:10.1109/access.2020.3019332 fatcat:ya5qq664x5fthpslhkhwqf3kre

Research on social benefits resulting from NEDO projects
NEDO プロジェクト開発成果の社会的便益に関する研究

Masaru YAMASHITA, Yoshiko YURUGI, Noriko KIMURA, Sayaka SHISHIDO, Tomonaga YOSHIDA, Toshiyuki ISSHIKI, Mitsuru TAKESHITA
2015 Synthesiology English edition  
They introduced a series of case studies to demonstrate the analyses using time adjustment factors and sensitivity analysis. [11] Study of the top 70 NEDO Inside Products-"NEDO Inside Products" are defined  ...  In this study, we analyzed and estimated the creation, and CO 2 emission reduction.  ...  Research Institute, Inc.; and the companies that participated in NEDO projects.  ... 
doi:10.5571/syntheng.8.2_70 fatcat:wnbqbwgtdzgmhlczvsu6utda5u

Intelligent Edge-Embedded Technologies for Digitising Industry [chapter]

Ovidiu Vermesan, Mario Diaz Nava
2022 Intelligent Edge-Embedded Technologies for Digitising Industry  
The "River Publishers Series in Communications and Networking" is a series of comprehensive academic and professional books which focus on communication and network systems.  ...  The series includes research monographs, edited volumes, handbooks and textbooks, providing professionals, researchers, educators, and advanced students in the field with an invaluable insight into the  ...  Acknowledgements This work is conducted under the framework of the ECSEL AI4DI "Artificial Intelligence for Digitising Industry" project.  ... 
doi:10.13052/rp-9788770226103 fatcat:mgz277pmkbetvbpoaomoktzgzi

The Construction and Empirical Study on Evaluation Index System of International Low-Carbon Economy Development

Zhang Zhongyu, Zhang Zhongxiang
2021 Frontiers in Energy Research  
The overall competitiveness of China's low-carbon economy is in a relatively favorable position (3rd overall), with the most outstanding performance in terms of economic strength (1st), but poor performance  ...  By using the principal component factor analysis method to calculate and test, the four factors, energy factor, society factor, economy factor, and environment factor, are finally extracted to construct  ...  the low-carbon economy is based on the economic foundation and vitality.  ... 
doi:10.3389/fenrg.2021.761567 fatcat:tym6g25a5jakdnkr26mco4dafy

Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions

Giovanni Seni, John F. Elder
2010 Synthesis Lectures on Data Mining and Knowledge Discovery  
Ensembles can provide a critical boost to industrial challenges -from investment timing to drug discovery, and fraud detection to recommendation systems -where predictive accuracy is more vital than model  ...  IS reveals classic ensemble methods -bagging, random forests, and boosting -to be special cases of a single algorithm, thereby showing how to improve their accuracy and speed.  ...  So, evaluating the performance of a model type consisted of building and cross-validating 19 models and accumulating the out-of-sample results (-a leave-one-bat-out method).  ... 
doi:10.2200/s00240ed1v01y200912dmk002 fatcat:qjhnpmg67jhblaw56ycpoy4t5a

RWW 2022 Program Book

2022 2022 IEEE Topical Conference on RF/Microwave Power Amplifiers for Radio and Wireless Applications (PAWR)  
of the presenter and the student's performance in the Q&A session.  ...  The upcoming summit examines how sensor systems support sustainability and how emerging artificial intelligence (AI)-based processing methods can lead to significant improvements in performance and viability  ...  A discussion on the construction of Volterra-based model structures and how they are related to circuit-model knowledge will be covered in this course.  ... 
doi:10.1109/pawr53092.2022.9719730 fatcat:c45vh5riifb4nnaidqh5g7olfy

Final Program

2022 2022 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNeT)  
of the presenter and the student's performance in the Q&A session.  ...  The upcoming summit examines how sensor systems support sustainability and how emerging artificial intelligence (AI)-based processing methods can lead to significant improvements in performance and viability  ...  A discussion on the construction of Volterra-based model structures and how they are related to circuit-model knowledge will be covered in this course.  ... 
doi:10.1109/wisnet53095.2022.9721362 fatcat:gegx6sbpnnhctafk2w2s27jufq

Final Program

2022 2022 IEEE 22nd Topical Meeting on Silicon Monolithic Integrated Circuits in RF Systems (SiRF)  
of the presenter and the student's performance in the Q&A session.  ...  The upcoming summit examines how sensor systems support sustainability and how emerging artificial intelligence (AI)-based processing methods can lead to significant improvements in performance and viability  ...  A discussion on the construction of Volterra-based model structures and how they are related to circuit-model knowledge will be covered in this course.  ... 
doi:10.1109/sirf53094.2022.9720060 fatcat:qoa23df44zfxxg7desobckbhuy

Final Program

2022 2022 IEEE Space Hardware and Radio Conference (SHaRC)  
of the presenter and the student's performance in the Q&A session.  ...  The upcoming summit examines how sensor systems support sustainability and how emerging artificial intelligence (AI)-based processing methods can lead to significant improvements in performance and viability  ...  A discussion on the construction of Volterra-based model structures and how they are related to circuit-model knowledge will be covered in this course.  ... 
doi:10.1109/sharc53093.2022.9720008 fatcat:hrcah4sukrdtlooknwpsn5tp5e

Final Program

2022 2022 IEEE Radio and Wireless Symposium (RWS)  
of the presenter and the student's performance in the Q&A session.  ...  The upcoming summit examines how sensor systems support sustainability and how emerging artificial intelligence (AI)-based processing methods can lead to significant improvements in performance and viability  ...  A discussion on the construction of Volterra-based model structures and how they are related to circuit-model knowledge will be covered in this course.  ... 
doi:10.1109/rws53089.2022.9719956 fatcat:ndhlrsr6ljdmlbi7joagvrdpme

Sliding bifurcations in resonant inverters

Enrique Ponce, Luis Benadero, Abdelali El Aroudi, Luis Martinez-Salamero
2017 2017 14th International Multi-Conference on Systems, Signals & Devices (SSD)  
This paper evaluates the performances of GPC in this context.  ...  in the essence of PAPR and around 25% extra noise immunity.  ... 
doi:10.1109/ssd.2017.8167001 dblp:conf/IEEEssd/PonceBAM17 fatcat:6lbol63imjffhezjv6yc6cnheu

Rapid FDI expansion of firms from emerging markets: evidence from Poland

Oh Suk Yang, Marcela Julia Niedzielska
2017 Argumenta Oeconomica  
In this study we examine the conditions of rapid foreign direct investment (FDI) expansion that can be beneficial to firm performance.  ...  The Polish market, exhibiting a combination of transition and emerging economy characteristics, must apply its own distinctive FDI strategy to compete in foreign markets.  ...  Larger firms tend to possess vital assets and a dominant position in the market (Siripaisalpipat and Hoshino, 2000) .  ... 
doi:10.15611/aoe.2017.2.15 fatcat:s5q4wgyrkzailitv4svdjttjee

The Role of Industry Studies and Public Policies in Production and Operations Management

Nitin Joglekar, Jane Davies, Edward G. Anderson
2016 Social Science Research Network  
We aimed to identify papers in the POM field that had either an industry perspective, a policy focus, or both.  ...  We took a dual approach: we performed an initial manual search to test the selection of papers, and then an electronic search using journal database search engines.  ...  Acknowledgement We thank that the senior editors of the industry studies and public policy department for providing input while initiating the review. We also thank Atalay Atasu, Amy  ... 
doi:10.2139/ssrn.2744143 fatcat:ki6ckmzeubai3gadbvlzs3sc7i

Principles and Applications of Hyperspectral Imaging in Quality Evaluation of Agro-Food Products: A Review

Gamal Elmasry, Mohammed Kamruzzaman, Da-Wen Sun, Paul Allen
2012 Critical reviews in food science and nutrition  
ACKNOWLEDGEMENTS The authors gratefully acknowledge the financial support from the Food Institutional Research Measure (FIRM) strategic research initiative administered by the Irish Department of Agriculture  ...  In most food industry, quality evaluation and control are still performed manually, which is tedious, laborious, costly, time consuming, and subject to human error and inconsistency.  ...  The most widely used multivariate regression methods in quantitative analysis are MLR, PCR, and PLSR.  ... 
doi:10.1080/10408398.2010.543495 pmid:22823348 fatcat:zrril724pnau7bvpdvowm2gy5e

Industrial Artificial Intelligence Technologies and Applications [chapter]

Ovidiu Vermesan, Franz Wotawa, Mario Diaz Nava, Björn Debaillie
2022 Industrial Artificial Intelligence Technologies and Applications  
The "River Publishers Series in Communications and Networking" is a series of comprehensive academic and professional books which focus on communication and network systems.  ...  The series includes research monographs, edited volumes, handbooks and textbooks, providing professionals, researchers, educators, and advanced students in the field with an invaluable insight into the  ...  Acknowledgements This We want to thank Vranken-Pommery Monopole for providing the datasets for the training.  ... 
doi:10.13052/rp-9788770227902 fatcat:av7jjd4htbc7rez23jijfcayy4
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