ABAC access control policy generation technique based on deep learning by Aodi LIU, Xuehui DU, Na WANG, Rui QIAO

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Research of the Gear Fault Diagnosis based on Improved LMD and Manifold Learning by Shen Chao, Yang Jianwei, Yao Dechen, Li Xi

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Overview of Deep Learning and Nondestructive Detection Technology for Quality Assessment of Tomatoes by Yuping Huang, Ziang Li, Zhouchen Bian, Haojun Jin, Guoqing Zheng, Dong Hu, Ye Sun, Chenlong Fan, Weijun Xie, Huimin Fang

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Negative Correlation Learning for Customer Churn Prediction: A Comparison Study by Ali Rodan, Ayham Fayyoumi, Hossam Faris, Jamal Alsakran, Omar Al-Kadi

“…In this paper we will utilize an ensemble of Multilayer perceptrons (MLP) whose training is obtained using negative correlation learning (NCL) for predicting customer churn in a telecommunication company. …”
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Fault Identification of UHVDC Transmission Based on DF-AD and Ensemble Learning by Qingsheng Zhao, Xinyu Yang, Xiaoqing Han, Dingkang Liang, Xuping Wang

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Violence Detection From Industrial Surveillance Videos Using Deep Learning by Hamza Khan, Xiaohong Yuan, Letu Qingge, Kaushik Roy

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Machine Learning-Based Modeling of Celeration for Predicting Red-Light Violations by Mahmoud Masoud

Subjects: “…Machine learning…”
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Improving drug–target affinity prediction by adaptive self-supervised learning by Qing Ye, Yaxin Sun

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Deep learning technology: enabling safe communication via the internet of things by Ramiz Salama, Hitesh Mohapatra, Tuğşad Tülbentçi, Fadi Al-Turjman

Subjects: “…Deep learning (DL)…”
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Machine Learning Models for Predicting Thermal Properties of Radiative Cooling Aerogels by Chengce Yuan, Yimin Shi, Zhichen Ba, Daxin Liang, Jing Wang, Xiaorui Liu, Yabei Xu, Junreng Liu, Hongbo Xu

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A roadmap to implementing machine learning in healthcare: from concept to practice by Adam Paul Yan, Adam Paul Yan, Lin Lawrence Guo, Jiro Inoue, Santiago Eduardo Arciniegas, Emily Vettese, Agata Wolochacz, Nicole Crellin-Parsons, Brandon Purves, Steven Wallace, Azaz Patel, Medhat Roshdi, Karim Jessa, Karim Jessa, Bren Cardiff, Lillian Sung, Lillian Sung, Lillian Sung

Subjects: “…machine learning…”
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Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning by Sangwoo Park, Osvaldo Simeone

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Influence of oncam feature in online conference on learning motivation during the pandemic by Muchammad Zidan Maulana, Azzahra Putri Dewanto

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Transformative learning: reflection on the emotional experiences of schoolteachers during and after the pandemic by Yin Yung Chiu

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Instilling democratic values in social science learning in junior high school by Mila Wati, Syarbaini Saleh

Subjects: “…learning, social sciences, values of democracy…”
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Quality Control of Olive Oils Using Machine Learning and Electronic Nose by Emre Ordukaya, Bekir Karlik

“…These reduced data as 8 inputs are applied to the classifiers. Different machine learning classifiers such as Naïve Bayesian, K-Nearest Neighbors (k-NN), Linear Discriminate Analysis (LDA), Decision Tree, Artificial Neural Networks (ANN), and Support Vector Machine (SVM) were used. …”
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Adaptive Iterative Learning Control of Hybrid Drive Cable Parallel Manipulator by Jianbin Cao, Mingsheng Wei, Haixiao Zhao

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Runoff Forecasting Research Coupling Quadratic Factor Screening and Deep Learning by CHENG Liwen, HUANG Shengzhi, LI Pei, LI Ziyan, JIA Songtao, HUANG Qiang

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A Novel Multimode Fault Classification Method Based on Deep Learning by Funa Zhou, Yulin Gao, Chenglin Wen

“…This paper proposes a multimode classification method based on deep learning by constructing a hierarchical DNN model with the first hierarchy specially devised for the purpose of mode partition. …”
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Multi-View Collaborative Training and Self-Supervised Learning for Group Recommendation by Feng Wei, Shuyu Chen

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