Greetings…Allow me to begin by extending,on behalf of the Philippine delegation,our heartfelt gratitude to the Chinese Association for International Understanding(CAFIU)for this excellent opportunity for greater unde...Greetings…Allow me to begin by extending,on behalf of the Philippine delegation,our heartfelt gratitude to the Chinese Association for International Understanding(CAFIU)for this excellent opportunity for greater understanding of China and its relations to the Philippines,the ASEAN and the rest of the world.This exchange has likewise been an important occasion for us to share our insights on these relations in the light of our common interests and aspirations展开更多
Artificial intelligence technologies are being studied to provide scientific evidence in the medical field and developed for use as diagnostic tools.This study focused on deep learning models to classify degenerative ...Artificial intelligence technologies are being studied to provide scientific evidence in the medical field and developed for use as diagnostic tools.This study focused on deep learning models to classify degenerative arthritis into Kellgren–Lawrence grades.Specifically,degenerative arthritis was assessed by X-ray radiographic images and classified into five classes.Subsequently,the use of various deep learning models was investigated for automating the degenerative arthritis classification process.Although research on the classification of osteoarthritis using deep learning has been conducted in previous studies,only local models have been used,and an ensemble of deep learning models has never been applied to obtain more accurate results.To address this issue,this study compared the classification performance of deep learning models,includingVGGNet,DenseNet,ResNet,TinyNet,EfficientNet,MobileNet,Xception,and ViT,on a dataset commonly used for osteoarthritis classification tasks.Our experimental results verified that even without applying a separate methodology,the performance of the ensemble was comparable to that of existing studies that only used the latest deep learning model and changed the learning method.From the trained models,two ensembles were created and evaluated:weight and specialist.The weight ensemble showed an improvement in accuracy of 1%,and the proposed specialist ensemble improved accuracy,precision,recall,and F1 score by 5%,6%,6%,and 6%,respectively,compared with the results of prior studies.展开更多
Based on ecocriticism theory,this paper is to conduct a comprehensive discussion of Lawrence’s poetry from three aspects:natural ecology,social ecology and spiritual ecology,to explore the profound ecological philoso...Based on ecocriticism theory,this paper is to conduct a comprehensive discussion of Lawrence’s poetry from three aspects:natural ecology,social ecology and spiritual ecology,to explore the profound ecological philosophical implications contained in Lawrence’s poetry,and to expand the breadth and depth of the ecocriticism interpretation of Lowe’s poetry research.展开更多
文摘Greetings…Allow me to begin by extending,on behalf of the Philippine delegation,our heartfelt gratitude to the Chinese Association for International Understanding(CAFIU)for this excellent opportunity for greater understanding of China and its relations to the Philippines,the ASEAN and the rest of the world.This exchange has likewise been an important occasion for us to share our insights on these relations in the light of our common interests and aspirations
基金support of the Korea Research Foundation and was funded by the Ministry of Education of Korea in 2020 (No.2020R1A6A1A03040583)Kyonggi University’s Graduate Research Assistantship 2022.
文摘Artificial intelligence technologies are being studied to provide scientific evidence in the medical field and developed for use as diagnostic tools.This study focused on deep learning models to classify degenerative arthritis into Kellgren–Lawrence grades.Specifically,degenerative arthritis was assessed by X-ray radiographic images and classified into five classes.Subsequently,the use of various deep learning models was investigated for automating the degenerative arthritis classification process.Although research on the classification of osteoarthritis using deep learning has been conducted in previous studies,only local models have been used,and an ensemble of deep learning models has never been applied to obtain more accurate results.To address this issue,this study compared the classification performance of deep learning models,includingVGGNet,DenseNet,ResNet,TinyNet,EfficientNet,MobileNet,Xception,and ViT,on a dataset commonly used for osteoarthritis classification tasks.Our experimental results verified that even without applying a separate methodology,the performance of the ensemble was comparable to that of existing studies that only used the latest deep learning model and changed the learning method.From the trained models,two ensembles were created and evaluated:weight and specialist.The weight ensemble showed an improvement in accuracy of 1%,and the proposed specialist ensemble improved accuracy,precision,recall,and F1 score by 5%,6%,6%,and 6%,respectively,compared with the results of prior studies.
基金Acknowledgement:this paper is funded by Project:The final research result of“World Language and Culture Research”project of China Center for Language Planning and Policy Studies。
文摘Based on ecocriticism theory,this paper is to conduct a comprehensive discussion of Lawrence’s poetry from three aspects:natural ecology,social ecology and spiritual ecology,to explore the profound ecological philosophical implications contained in Lawrence’s poetry,and to expand the breadth and depth of the ecocriticism interpretation of Lowe’s poetry research.
