Rethinking Exploration and Experience Exploitation in Value-Based Multi-Agent Reinforcement Learning by Anatolii Borzilov, Alexey Skrynnik, Aleksandr Panov

Subjects: “…multi-agent reinforcement learning…”
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Method based on contrastive learning for fine-grained unknown malicious traffic classification by Yifeng WANG, Yuanbo GUO, Qingli CHEN, Chen FANG, Renhao LIN

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Research progress and trends of deep learning based wireless communication receiving method by Panpan LI, Zhengxia XIE, Guangxue YUE, Xin LIU

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How does organizational performance in the education sector improve? Learning and Growth-perspective by Siti Aisyah, Adisthy Shabrina Nurqamarani, A.M. Wibowo, Cherly Kemala Ulfa

“…The purpose of this study is to measure whether organizational performance in the education sector could be improved through a learning and growth perspective, which involves constructs of human capital, information capital, and organizational capital. …”
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Recent advances of privacy-preserving machine learning based on (Fully) Homomorphic Encryption by Hong Cheng

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Machine learning predicting the transport mechanisms and entrainment characteristics of negative buoyant jets by Yaowen Xia, Wenfeng Gao, Qiong Li, Banglong Wu, Jia Xie, Shuting Yang

“…This study confirmed that the machine learning techniques have great potential to study the transient flow behavior of fountains.…”
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Inspires effective alternatives to backpropagation: predictive coding helps understand and build learning by Zhenghua Xu, Miao Yu, Yuhang Song

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Decoding methane concentration in Alberta oil sands: A machine learning exploration by Liubov Sysoeva, Ilhem Bouderbala, Miles H. Kent, Esha Saha, B.A. Zambrano-Luna, Russell Milne, Hao Wang

“…Interpretable machine learning techniques, coupled with existing data from weather monitoring stations, offer a cost-effective alternative approach for modeling and understanding methane emissions sources. …”
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Symmetry-Aware 6D Object Pose Estimation via Multitask Learning by Hongjia Zhang, Junwen Huang, Xin Xu, Qiang Fang, Yifei Shi

“…To this end, a network is proposed that predicts 6D object pose and object reflectional symmetry as well as the key points simultaneously via a multitask learning scheme. Consequently, the pose estimation is aware of and regulated by the symmetry axis and the key points of the to-be-estimated objects. …”
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Color Face Recognition Based on Steerable Pyramid Transform and Extreme Learning Machines by Ayşegül Uçar

“…Fourthly, all features are fused according to decision fusion frame and the combinations of Extreme Learning Machines classifiers are applied to achieve color face recognition with fast and high correctness. …”
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The Effect of Flipped Learning Model on Pre-Service Science Teachers' Laboratory Practices by Serpil Kara, Kadriye Kayacan

Subjects: “…Flipped learning…”
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Automated recognition and segmentation of lung cancer cytological images based on deep learning. by Qingyang Wang, Yazhi Luo, Ying Zhao, Shuhao Wang, Yiru Niu, Jinxi Di, Jia Guo, Guorong Lan, Lei Yang, Yu Shan Mao, Yuan Tu, Dingrong Zhong, Pei Zhang

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Generating the Flood Susceptibility Map for Istanbul with GIS-Based Machine Learning Algorithms by Zehra Koyuncu, Ömer Ekmekcioğlu

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Predicting dry matter intake in Pelibuey sheep using machine learning methods by Enrique Camacho-Perez, Cem Tirink, Ricardo Garcia-Herrera, Ángel T. Piñeiro-Vazquez, Fernando Casanova-Lugo, Jorge R. Canul-Solis, Antonio Leandro Chaves-Gurgel, Ceyhun Yücel, Einar Vargas-Bello-Pérez, Alfonso J. Chay-Canul

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Exploration of Segara Wukir Temple as a source of mathematics learning: An ethnomathematics study by Devina Anindya Kirana, Ririn Widiyasari

“…The results of the study reveal that Segara Wukir Temple is a cultural heritage site with high value; however, it has not been extensively researched as a source for learning mathematics. This research also contributes to the students' understanding of the application of mathematical concepts in the cultural heritage of temple architecture. …”
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Machine Learning-Driven Scattering Efficiency Prediction in Passive Daytime Radiative Cooling by Changmin Shi, Jiayu Zheng, Ying Wang, Chenjie Gan, Liwen Zhang, Brian W. Sheldon

Subjects: “…machine learning…”
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STEAM approach in project-based learning to develop mathematical literacy and students' character by In In Supianti, Poppy Yaniawati, Ebenezer Bonyah, Astri Widiastuti Hasbiah, Nisrina Rozalini

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Competence-based Approach to Learning Outcomes Assessment: Russian Experience in Sociological Education by Margarita D. Bershadskaya, Alexandra V. Serova, Alexander Yu. Chepurenko, Elena A. Zima

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Free-Range Learning: The Emerging Revolution in College, Career, and Education (Kitap İncelemesi) by Sahure Gonca Telli

“…Free-Range Learning : The Emerging Revolution in College, Career, and Education Yazarlar: Peter SmithYayınevi: Select Books, New York Basım yılı:2018Sayfa sayısı: 236 ISBN: 9781590794524Dil: İngilizceDr. …”
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Dynamic selectout and voting-based federated learning for enhanced medical image analysis by Saeed Iqbal, Adnan N Qureshi, Musaed Alhussein, Khursheed Aurangzeb, Atif Mahmood, Saaidal Razalli Bin Azzuhri

Subjects: “…federated learning…”
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