Bayesian reinforcement learning models reveal how great-tailed grackles improve their behavioral flexibility in serial reversal learning experiments by Lukas, Dieter, McCune, Kelsey, Blaisdell, Aaron, Johnson-Ulrich, Zoe, MacPherson, Maggie, Seitz, Benjamin, Sevchik, August, Logan, Corina

“…We reanalyzed reversal learning data from 19 wild-caught great-tailed grackles (Quiscalus mexicanus), eight of whom participated in serial reversal learning experiment, and found that these predictions were supported. …”
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Learning to Shape Transformation – How Individual Schools can be Supported in Implementing a Newly Developed ESD Curriculum with Training Concept by Lindau-Bank Detlev, Stein Margit

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Evaluation of Learners’ Satisfaction with Open Flexible and Distance Learning Services at the University of Lagos Distance Learning Institute by Adenike Oladipo, Esther O. Oladele, Oladipupo Ajeyalemi, Folashade Afolabi, Peter O. Olayiwola, Johnson A. Adewara, Andrew Akala, Uchenna Udeani

“… The prospects of Open and Distance Learning (ODL) as the best way to acquire formal education, especially having to work and learn simultaneously have led to curiosity in investigating the challenges that come with this great opportunity. …”
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Reinforcement Learning for Reconfigurable Robotic Soccer by M. Shameer Ahamed, J. J. J. Pey, S. M. Bhagya P. Samarakoon, M. A. Viraj J. Muthugala, Mohan Rajesh Elara

“…Robots are showing great impact and, in recent trends, appearing in areas such as education and entertainment. …”
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Kurdish Language Learning Tool in Serious Game by Gulala Ali Hama Amin, Karzan Hussein Sharif

“…In this era, technology has a great impact on the educational system as they have on the other different areas of today’s life, for instance, smartphone devices are the best examples. …”
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Review of communication optimization methods in federated learning by YANG Zhikai, LIU Yaping, ZHANG Shuo, SUN Zhe, YAN Dingyu

“…However, as deep learning models become larger and federated learning tasks more complex, communication overhead also increases, eventually becoming a barrier to the application of federated learning. …”
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Coordinating a Collegiate Service-Learning Mentoring Program by Emily Rickerson, Matthew Ohlson, Kate Fogarty, Muthusami Kumaran, Dale Pracht

“…Gator for an institute of higher learning takes a great deal of planning, communication, and leadership. …”
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Coordinating a Collegiate Service-Learning Mentoring Program by Emily Rickerson, Matthew Ohlson, Kate Fogarty, Muthusami Kumaran, Dale Pracht

“…Gator for an institute of higher learning takes a great deal of planning, communication, and leadership. …”
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Prediction of earthquake by machine learning models and neural network by Xu Bohong

“…In the last few years, people have given great effort to examine the earthquake from many aspects with various methods. …”
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Geometric quantum machine learning with horizontal quantum gates by Roeland Wiersema, Alexander F. Kemper, Bojko N. Bakalov, Nathan Killoran

“…This can, however, be an overzealous constraint that greatly limits the expressivity of the circuit, especially in the case of continuous symmetries. …”
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Evolution of machine learning in financial risk management: A survey by Lu Kuan-I

“…Given its reliance on data, financial risk management can greatly benefit from the application of machine learning tools. …”
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An Overview of Application of Machine Learning Models in Urban Flood Simulation and Forecasting by CHEN Zeming, FANG Xuhong, LI Jiaye, WANG Mengyao, CHEN Aifang, YIN Ling

“…The rapidly developed artificial intelligence technology gradually shows great potential and value in urban flood simulation and forecasting. …”
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The Application of Reinforcement Learning in Traffic Flow Prediction: Advantages, Problems, and Prospects by Li Minghui, Zhou Decheng, Zhang Shiqi

“…This article summarizes three traditional methods of TFP: parameter-based prediction, shallow machine learning-based prediction, and deep learning (DL)-based prediction. …”
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Deep learning based gasket fault detection: a CNN approach by S. Arumai Shiney, R. Seetharaman, V. J. Sharmila, S. Prathiba

“…The obtained results indicate that our system has great potential for practical applications in the manufacturing industry. …”
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