WDRIV-Net: a weighted ensemble transfer learning to improve automatic type stratification of lumbar intervertebral disc bulge, prolapse, and herniation by Ichiro Nakamoto, Hua Chen, Rui Wang, Yan Guo, Wei Chen, Jie Feng, Jianfeng Wu

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Detection of Masses in Mammogram Images Based on the Enhanced RetinaNet Network With INbreast Dataset by Wang M, Liu R, Luttrell IV J, Zhang C, Xie J

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SSMM: Semi-supervised manifold method with spatial-spectral self-training and regularized metric constraints for hyperspectral image dimensionality reduction by Bei Zhu, Yao Jin, Xuehua Guan, Yanni Dong

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TOWARDS IMPLEMENTATION OF INNOVATIVE METHODOLOGIES IN CONSTRUCTION ENGINEERING IN CHILE. A CASE STUDY by PEDRO MUÑOZ, VIVIANA LETELIER, LUMINITA BIBIRE, LUIS MUÑOZ

Subjects: “…project-based learning…”
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ExPRession-based E-Worksheet (EBEW): An effort to enhance student' computational thinking skills by Kartini Herlina, Abdurrahman Abdurrahman, Ahmad Naufal Umam, Ayu Nurjanah, Ghani Fadhil Rabbani, Ficha Aulia Indah Pratiwi

Subjects: “…computational thinking skills, e-worksheet, expression learning model, physivcs learning…”
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Multiclass Supervised Learning Approach for SAR-COV2 Severity and Scope Prediction: SC2SSP Framework by Shaik Khasim Saheb, B. Narayanan, T.V. Narayana Rao

Subjects: “…Supervised Learning…”
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A deep learning model based on RGB and hyperspectral images for efficiently detecting tea green leafhopper damage symptoms by Yang Xu, Yilin Mao, He Li, Jiazhi Shen, Xiuxiu Xu, Shuangshuang Wang, Shah Zaman, Zhaotang Ding, Yu Wang

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SECOND LANGUAGE ACQUISITION IN THE CLASSROOM by IDEGU A. SOLOMON

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Strategies for teaching English spelling and reading by Daniela Sorádová

Subjects: “…teaching and learning English…”
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Improving User Experience for the Web Platform Spotlight Heritage Timisoara with AI Technologies by Valentin Sorescu, Diana Andone

Subjects: “…machine learning…”
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Enhance Research and Innovation in ICT products, Applications, and Services by Businge, Phelix Mbabazi

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TEACHERS’ PROFILE, MOTIVATION, APTITUDE, AND SATISFACTION IN A VIRTUAL UPSKILLING ENVIRONMENT by Dave E. Marcial, Jan Cynth Palama, Fredlie Bucog, Steven Binarao

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Automatic cervical lymph nodes detection and segmentation in heterogeneous computed tomography images using deep transfer learning by Wenjun Liao, Xiangde Luo, Lu Li, Jinfeng Xu, Yuan He, Hui Huang, Shichuan Zhang

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Contrast quality control for segmentation task based on deep learning models—Application to stroke lesion in CT imaging by Juliette Moreau, Juliette Moreau, Laura Mechtouff, Laura Mechtouff, David Rousseau, Omer Faruk Eker, Omer Faruk Eker, Yves Berthezene, Yves Berthezene, Tae-Hee Cho, Tae-Hee Cho, Carole Frindel, Carole Frindel

Subjects: “…deep learning…”
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ThyroNet-X4 genesis: an advanced deep learning model for auxiliary diagnosis of thyroid nodules’ malignancy by Xiaoxue Wang, Yupeng Niu, Hongli Liu, Fa Tian, Qiang Zhang, Yimeng Wang, Yeju Wang, Yijia Li

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Author Correction: AIVariant: a deep learning-based somatic variant detector for highly contaminated tumor samples by Hyeonseong Jeon, Junhak Ahn, Byunggook Na, Soona Hong, Lee Sael, Sun Kim, Sungroh Yoon, Daehyun Baek

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Constructing a machine learning model for systemic infection after kidney stone surgery based on CT values by Jiaxin Li, Yao Du, Gaoming Huang, Yawei Huang, Xiaoqing Xi, Zhenfeng Ye

Subjects: “…Machine learning…”
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Author Correction: Synthetic augmentation of cancer cell line multi-omic datasets using unsupervised deep learning by Zhaoxiang Cai, Sofia Apolinário, Ana R. Baião, Clare Pacini, Miguel D. Sousa, Susana Vinga, Roger R. Reddel, Phillip J. Robinson, Mathew J. Garnett, Qing Zhong, Emanuel Gonçalves

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Improving tropical cyclone rapid intensification forecasts with satellite measurements of sea surface salinity and calibrated machine learning by Ryan Eusebi, Hui Su, Longtao Wu, Pingping Rong, Karthik Balaguru, Ruby Leung, Yong-Sang Choi, Pak Wai Chan, Jianping Gan, Mark DeMaria, Galina Chirokova

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Building Responsive Intersectoral Initiatives for Newcomers in Toronto: Learning from Service Providers’ Experiences in the Context of COVID-19 by Carly Jackson, Shinjini Mondal, Erica Di Ruggiero, Lara Gautier

“…Findings: The analysis covers four key themes: (1) vulnerable newcomers’ circumstances regarding accessing the social determinants of health during COVID-19; (2) the process of designing specific interventions to target these populations’ needs and service access challenges in the context of COVID-19; (3) the implementation phase of the initiatives, including any associated challenges and lessons learned; and finally, (4) long-term potential sustainability of the initiatives. …”
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