Predicting Team Well-Being through Face Video Analysis with AI by Müller, Moritz, Dupuis, Ambre, Zeulner, Tobias, Vazquez, Ignacio, Hagerer, Johann, Gloor, Peter A.

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Principled asymmetric boosting approaches to rapid training and classification in face detection by Pham, Minh Tri

“…This thesis solves a number of issues related to asymmetric boosting and the use of asymmetric boosting in face detection. It shows how a proper understanding and use of asymmetric boosting leads to improvement in the learning time, the learning capacity, the detection speed and the detection accuracy of a face detector. …”
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A 35-Year Analysis of Vegetation Cover in Rare-Earth Mining Areas Using Landsat Data by Zheng, Zhubin, Liu, Yuqing, Chen, Na, Liu, Ge, Lei, Shaohua, Xu, Jie, Li, Jianzhong, Ren, Jingli, Huang, Chao

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Simultaneous ultraviolet, visible, and near-infrared continuous-wave lasing in a rare-earth-doped microcavity by Jiang, Bo, Zhu, Song, Ren, Linhao, Shi, Lei, Zhang, Xinliang

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Autopia's End: The Decline and Fall of Detroit's Automotive Manufacturing Landscape by Ryan, Brent D., Campo, Daniel

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Sustainable performance through digital supply chains in industry 4.0 era: amidst the pandemic experience by Joshi, Sudhanshu, Sharma, Manu

“…The results show that industry 4.0 technologies enhance the sustainable performance of firms. …”
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WGS.101 Introduction to Women's and Gender Studies, Fall 2010 by Walsh, Andrea, Fox, Elizabeth

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Predicted Losses of Sulfur and Selenium in European Soils Using Machine Learning: A 2 Call for Prudent Model Interrogation and Selection by Jones, Gerrad D., Insinga, Logan, Droz, Boris, Feinberg, Aryeh, Stenke, Andrea, Smith, Jo, Smith, Pete, Winkel, Lenny H. E.

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Estimating building vulnerability to volcanic ash fall for insurance and other purposes by Jenkins, Susanna F., Magill, C. R., Wilson, T. M., McMullan, K., Kandlbauer, J., Blong, R. J., Grasso, P.

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21W.755 Writing and Reading Short Stories, Fall 2006 by Lewitt, Shariann

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A unified learning framework for auto face annotation by mining web facial images by Wang, Dayong, Hoi, Steven Chu Hong, He, Ying

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The recognition of cross-cultural emotional faces is affected by intensity and ethnicity in a Japanese sample by Bonassi, Andrea, Ghilardi, Tommaso, Gabrieli, Giulio, Truzzi, Anna, Doi, Hirokazu, Borelli, Jessica L., Lepri, Bruno, Shinohara, Kazuyuki, Esposito, Gianluca

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NARD : whole-genome reference panel of 1779 Northeast Asians improves imputation accuracy of rare and low-frequency variants by Yoo, Seong-Keun, Kim, Chang-Uk, Kim, Hie Lim, Kim, Sungjae, Shin, Jong-Yeon, Kim, Namcheol, Yang, Joshua Sung Woo, Lo, Kwok-Wai, Cho, Belong, Matsuda, Fumihiko, Schuster, Stephan Christoph, Kim, Changhoon, Kim, Jong-Il, Seo, Jeong-Sun

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Whole genome sequence and annotation dataset of rare actinobacteria, Barrientosiimonas humi gen. nov., sp. nov. 39 T from Antarctica by Chong, Sin Yee, Azmi, Aida Azrina, Cheah, Yoke Kqueen

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Adoption Strategy for Electrical and Electronics (E&E) Small and Medium-Sized Enterprises (SMEs): Malaysia IR4.0 Perspective by Othman, Zakirah, Balakrishnan, Bavaani, Ahmad Zaidi, Mohamad Faizal, Wan Yahaya, Wan Ahmad Jaafar

“…Many developing countries are facing difficulty in embracing Industrial Revolution 4.0 (IR4.0) technologies as it creates a challenging business environment for its manufacturing sector. …”
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Adoption Strategy for Electrical and Electronics (E&E) Small and Medium-Sized Enterprises (SMEs): Malaysia IR4.0 Perspective by Othman, Zakirah, Balakrishnan, Bavaani, Ahmad Zaidi, Mohamad Faizal, Wan Yahaya, Wan Ahmad Jaafar

“…Many developing countries are facing difficulty in embracing Industrial Revolution 4.0 (IR4.0) technologies as it creates a challenging business environment for its manufacturing sector. …”
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Remote monitoring of patient respiration with mask attachment—a pragmatic solution for medical facilities by Koh, Vivian Ci Ai, Ang, Yi Yang, Ser, Wee, Tan, Rex Xiao

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Automated fluorescence intensity and gradient analysis enables detection of rare fluorescent mutant cells deep within the tissue of RaDR mice by Wadduwage, Dushan N., Kay, Jennifer, Singh, Vijay Raj, Kiraly, Orsolya, Sukup-Jackson, Michelle R., Rajapakse, Jagath, Engelward, Bevin P., So, Peter T. C.

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A Non‐Intrusive Machine Learning Framework for Debiasing Long‐Time Coarse Resolution Climate Simulations and Quantifying Rare Events Statistics by Barthel Sorensen, B., Charalampopoulos, A., Zhang, S., Harrop, B. E., Leung, L. R., Sapsis, T. P.

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21W.784 Becoming Digital: Writing About Media Change, Fall 2005 by Evens, Aden

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