Enhancing Postgraduate Learning and Teaching: Postgraduate Summer School in Dairy Science by Pietro Celi, Gianfranco Gabai, Massimo Morgante, Luigi Gallo

“…Overall, participants have uniformly praised the Summer School calling it a rewarding and valuable learning experience. The Ph.D. Summer School in Dairy Science provided its participants a positive learning experience, provided them the opportunity to establish an international network, and facilitated the development of transferable skills.…”
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Disease Identification of Lentinus Edodes Sticks Based on Deep Learning Model by Dawei Zu, Feng Zhang, Qiulan Wu, Wenyan Wang, Zimeng Yang, Zhengpeng Hu

“…Aiming to solve this problem, this paper proposes a method for identifying infected Lentinus edodes sticks based on improved ResNeXt-50(32 × 4d) deep transfer learning. First, a dataset of Lentinus edodes stick diseases was constructed. …”
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A Novel Hybrid Machine Learning Framework for Wind Speed Prediction by Rhafes Mohamed Yassine, Moussaoui Omar, Raboaca Maria Simona, Mihaltan Traian Candin

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Students’ attitude and difficulties in practicing speaking through autonomous learning on podcast by Nurunnisa Rachma Buana, Miftachudin

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A quality assessment algorithm for no-reference images based on transfer learning by Yang Yang, Chang Liu, Hui Wu, Dingguo Yu

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Learning Applied Fine Arts Materials Used by High School Students by Novi Kurniawati, Tantra Sakre

Subjects: “…applied fine arts; learning; used materials…”
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DESIGNING OF ELECTRONIC LEARNING TOOLS IN THE CONTEXT OF MODERNIZATION OF CONTINUOUS VOCATIONAL EDUCATION by Kseniya R. Ovchinnikova

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Credit risk prediction with corruption perception index: machine learning approaches by Cuong Nguyen Thanh, Tam Phan Huy, Tuyet Pham Hong, An Bui Nguyen Quoc

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A deep ensemble learning framework for glioma segmentation and grading prediction by Liang Wen, Hui Sun, Guobiao Liang, Yue Yu

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Retracted: The Impact of Online Learning System on Students Affected with Stroke Disease by Behavioural Neurology

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Deep-Learning-Guided Point Cloud Modeling with Applications in Intelligent Manufacturing by Guifeng Wang, Ning Shuigen, Jianzhang Xiao

“…Aiming at high robustness of traditional processing feature recognition in image reasoning, an automatic processing shape recognition method based on fuzzy learning of processing surrounding point black data is proposed. …”
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CAG Interactive Lecture Series: A Web-Based Learning Program by Richard N Fedorak

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Recovery from Lesion-Associated Learning Deficits by Fetal Amygdala Transplants by Suman Jain, Rashmi Mathur, Ratna Sharma, Usha Nayar

“…In conclusion, in CeA-lesioned rats a complete behavioral deficit in learning CER and AA was restored by transplanting fetal amygdalar tissue at the lesioned site.…”
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Predicting Insemination Outcome in Holstein Dairy Cattle using Deep Learning by Mohammad Alishahi, Mahdi Ravakhah

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Development of problem-based learning practicum modules for the dangerous goods course by Dwi Candra Yuniar, Herlina Febiyanti, Shabrina Ramadhani, R.R. Retno Sawitri Wulandari

Subjects: “…learning media…”
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Combinatorial and Multinomial Coefficients and its Computing Techniques for Machine Learning and Cybersecurity by Chinnaraji Annamalai

“…Methodological advances in combinatorics and mathematics play a vital role in artificial intelligence and machine learning for data analysis and artificial intelligence-based cybersecurity for protection of the computing systems, devices, networks, programs and data from cyber-attacks. …”
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Fast Detection of Deceptive Reviews by Combining the Time Series and Machine Learning by Minjuan Zhong, Zhenjin Li, Shengzong Liu, Bo Yang, Rui Tan, Xilong Qu

“…The existing supervised learning methods require a large number of labeled examples of deceptive and truthful opinions by domain experts, while the available unsupervised learning methods are inefficient because they depend on the features of reviewers to detect each fake review. …”
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Sustainable Selection of Machine Learning Algorithm for Gender-Bias Attenuated Prediction by Raik Orbay, Evelina Wikner

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Source Apportionment of Particulate Matter by Application of Machine Learning Clustering Algorithms by Vikas Kumar, Manoranjan Sahu, Pratim Biswas

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Flood Detection Based on Unmanned Aerial Vehicle System and Deep Learning by Kaixin Yang, Sujie Zhang, Xinran Yang, Nan Wu

“…This study employs deep learning models to develop an automated detection of flooded buildings with UAV aerial images. …”
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