A Study on the Prediction of House Price Index in First-Tier Cities in China Based on Heterogeneous Integrated Learning Model by Yaqi Mao, Yonghui Duan, Yibin Guo, Xiang Wang, Shen Gao

“…To address the difficulty of low prediction accuracy, insufficient model stability, and certain lag associated with a single machine learning model in the prediction of house price, this paper proposes a multimodel fusion house price prediction model based on stacking integrated learning. …”
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A Spatio-Temporal Deep Learning Model for Automatic Arctic Sea Ice Classification with Sentinel-1 SAR Imagery by Li Zhao, Yufeng Zhou, Wei Zhong, Cheng Jin, Bo Liu, Fangzhao Li

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Fault Diagnosis of Signal Equipment on the Lanzhou-Xinjiang High-Speed Railway Using Machine Learning for Natural Language Processing by Lei Shi, Yulin Zhu, Youpeng Zhang, Zhongji Su

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Combined Input Deep Learning Pipeline for Embryo Selection for In Vitro Fertilization Using Light Microscopic Images and Additional Features by Krittapat Onthuam, Norrawee Charnpinyo, Kornrapee Suthicharoenpanich, Supphaset Engphaiboon, Punnarai Siricharoen, Ronnapee Chaichaowarat, Chanakarn Suebthawinkul

Subjects: “…deep learning…”
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Pengembangan Aplikasi E-Learning Edu IT : Pembuatan Aplikasi Ujian Essay Online serta Upload Download Materi Kuliah by Maria Bellaniar Ismiati, Latius Hermawan

“…  Dunia pendidikan sekarang sudah banyak yang menggunakan kecanggihan teknologi dan berbasis internet, seperti proses belajar mengajar secara elektronik atau dikenal dengan e-learning. Salah satu fitur e-learning dalam proses belajar mengajar adalah dapat menampilkan materi, soal latihan, percakapan melalui text/video maupun video, kuis, dan ujian secara elektronik. …”
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A multi-model feature fusion based transfer learning with heuristic search for copy-move video forgery detection by Hessa Alfraihi, Muhammad Swaileh A. Alzaidi, Hamed Alqahtani, Abdulbasit A. Darem, Ali M. Al-Sharafi, Ahmad A. Alzahrani, Menwa Alshammeri, Abdulwhab Alkharashi

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Endoscopic ultrasonography-based intratumoral and peritumoral machine learning ultrasomics model for predicting the pathological grading of pancreatic neuroendocrine tumors by Shuangyang Mo, Cheng Huang, Yingwei Wang, Shanyu Qin

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FIRM image analysis: A machine learning workflow for quantifying extracellular matrix components from electron microscopy images. by Nicholas T Gigliotti, Justin Lee, Emily H Mang, Giancarlo R Zambrano, Mitra L Taheri

“…Current imaging techniques allow us to visualize these critical remodeling events and developments in image analysis have employed a combination of analysis software and machine learning techniques to improve the efficiency and accuracy with which features are measured. …”
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The impact of teacher emotional support on learning engagement among college students mediated by academic self-efficacy and academic resilience by Wenjing Guo, Juan Wang, Na Li, Luxin Wang

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Accurate Prediction of Advanced Liver Fibrosis Using the Decision Tree Learning Algorithm in Chronic Hepatitis C Egyptian Patients by Somaya Hashem, Gamal Esmat, Wafaa Elakel, Shahira Habashy, Safaa Abdel Raouf, Samar Darweesh, Mohamad Soliman, Mohamed Elhefnawi, Mohamed El-Adawy, Mahmoud ElHefnawi

“…The risk of advanced liver fibrosis, due to chronic hepatitis C, could be predicted with high accuracy using decision tree learning algorithm that could be used to reduce the need to assess the liver biopsy.…”
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Novel machine learning algorithm in risk prediction model for pan-cancer risk: application in a large prospective cohort by Chi-Pang Wen, Xifeng Wu, Qingfeng Hu, Huakang Tu, Shan Pou Tsai, David Ta-Wei Chu

“…Objective To develop and validate machine-learning models that predict the risk of pan-cancer incidence using demographic, questionnaire and routine health check-up data in a large Asian population.Methods and analysis This study is a prospective cohort study including 433 549 participants from the prospective MJ cohort including a male cohort (n=208 599) and a female cohort (n=224 950).Results During an 8-year median follow-up, 5143 cancers occurred in males and 4764 in females. …”
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The Role of Academic Emotions, Perception of the University Atmosphere and learning Behaviors in Predicting the Academic Enthusiasm of Farhangian University of East Azerbaijan by Ali Eghbali, Hossein Vahedi, Akbar Ebrahimi, Sorayya Eghlimi

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Deep learning models for analysis of non‐destructive evaluation data to evaluate reinforced concrete bridge decks: A survey by Dayakar Naik Lavadiya, Sattar Dorafshan

“…Abstract Application of deep learning (DL) for automatic condition assessment of bridge decks has been on the raise in the last few years. …”
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Retracted: Mediating Effect of Organizational Learning Capacity on the Relationship between Relational Embeddedness and Innovation Performance in Freight Logistics Service by null Complexity

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The impact of utilizing educational games-based technology as learning media on students' numeration skills in high school economics subjects by Pupu Saeful Rahmat, Entin Jumantini, Yeyen Suryani, Novi Satriapraja, Enda Suhenda

Subjects: “…learning media, educational games, students' numeration skills, economics subjects…”
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Analisis Model Mental Mahasiswa dalam Pengembangan E-Learning Pemrograman Berbasis Gamifikasi Menggunakan Metode Agile UX by Retno Indah Rokhmawati, Fitra Abdurrachman Bachtiar, Fajar Pradana, Kharis Alfian

“…Abstract The purpose of this research is to analyze students' mental models of how their behavior learns programming material. This mental model is then applied to improve the e-learning CodeManiac design. …”
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ST-LSTM: A Deep Learning Approach Combined Spatio-Temporal Features for Short-Term Forecast in Rail Transit by Qicheng Tang, Mengning Yang, Ying Yang

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Exploring the relationship between teachers’ beliefs on the nature and learning of mathematics and self-efficacy in teaching mathematics at the primary school level by Kristi Pikk, Äli Leijen, Jelena Radišić, Krista Uibu

“…We examined their beliefs about the nature of mathematics, learning of mathematics, and their confidence in their ability to teach the subject (self-efficacy). …”
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Application of deep learning for technological parameter optimization of laser shock peening of Ti-6Al-4V alloy by Mikhail Verezhak, Aleksei Vshivkov, Elena Gachegova, Maria Bartolomei, Alexander Mayer, Sathya Swaroop

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GREEN ORGANIZATIONAL LEARNING AND SUSTAINABLE WORK BEHAVIOR IN TOURISM AND HOTEL ENTERPRISES: LEVERAGING GREEN INTRINSIC MOTIVATION AND GREEN TRAINING by Arej ALHEMIMAH, Asier BAQUERO, Bassam Samir AL-ROMEEDY, Hazem Ahmed KHAIRY

Subjects: “…green organizational learning…”
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