Artificial Intelligence in the Era of Society 5.0: Compromising Technological Innovation Through theWasathiyyah Approach within the Framework of Islamic Law by Engkos Kosasih, Mohammad Rindu Fajar Islamy, Rizzaldy Satria Wiwaha

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CSO (Canadian Society of Otolaryngology - Head & Neck Surgery) position paper on rhinologic and skull base surgery during the COVID-19 pandemic by Yvonne Chan, Sarfaraz M. Banglawala, Christopher J. Chin, David W. J. Côté, Dustin Dalgorf, John R. de Almeida, Martin Desrosiers, Richard M. Gall, Artur Gevorgyan, A. Hassan Hassan, Arif Janjua, John M. Lee, Randy M. Leung, Bradford D. Mechor, Dominik Mertz, Eric Monteiro, Smriti Nayan, Brian Rotenberg, John Scott, Kristine A. Smith, Doron D. Sommer, Leigh Sowerby, Marc A. Tewfik, Andrew Thamboo, Allan Vescan, Ian J. Witterick

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Enhancing of teaching and learning through constructive alignment by G. E. Dames

“…Failure in the operationalization of both an interdisciplinary and a constructive alignment approach is at the core of surface learning. It appears that former and current students find it difficult to align their studies and to adapt to an unfamiliar, diverse, pluralistic and complex postmodern society. …”
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Big Data Deep Learning: Challenges and Perspectives by Xue-Wen Chen, Xiaotong Lin

“…Deep learning is currently an extremely active research area in machine learning and pattern recognition society. …”
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Beyond personas. Machine Learning to personalise the project by Niccolò Casiddu, Francesco Burlando, Isabella Nevoso, Claudia Porfirione, Annapaola Vacanti

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COACHING AS A TOOL FOR UNLOCKING LEARNING POTENTIAL by Ieva Brazauskaitė-Zubavičienė, Asta Pukienė, Claudia Saccone

“…Socio-economic factors and the surrounding environment are widely recognised as the main barriers to changing an individual’s social position in society, while the disparity between educational opportunities and learning outcomes is seen to be growing. …”
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Joyful Encounters: Learning to Play Well with Machines by Sandry Eleanor, Peaty Gwyneth

“…In rethinking the value of play, this paper emphasizes how people’s time spent interacting, whether with video games or robots, provides opportunities for them to learn more about themselves and others.…”
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Causal inference and machine learning in endocrine epidemiology by Kosuke Inoue

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Experiential Learning Assessment in Post-secondary Education by Jay Wilson, Tom Yates, Marc Gobeil, Alec Aitken, Kevin Lewis

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Unsupervised Learning in a Ternary SNN Using STDP by Abhinav Gupta, Sneh Saurabh

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IJSIE ABSTRACTS by Kananga Robert Mukuna

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Chinchorro culture: An analysis from the learning perspective by Liliana Pedraja-Rejas, Emilio Rodríguez-Ponce, Camila Muñoz-Fritis, Miguel-Ángel Garrido-Tamayo, Javier Vélez, David Laroze

“…Regarding the topics addressed, three main areas of study were found: 1) pathologies and toxicity, 2) life, society and cultural interactions, and 3) funerary traditions and mummification. …”
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I learned a lot about my classmates …’. Exploring focus group discussions as learning environment to raise controversial issues in geography and economic education. by Christiane Hintermann, Heidrun Edlinger, Matthias Fasching, Thomas Jekel

“…The paper first discusses current theoretical thought regarding controversy in both society and the classroom. It then goes on to illustrate real-world classroom experiences of focus-group based learning on controversial issues and to discuss its benefits and challenges. …”
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The role of strategic learning skills in the dropout from sport in adolescence by Carla Consoni

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Application Of ArtifiCial Intelligence in E-Governance: A Comparative Study of Supervised Machine Learning and Ensemble Learning Algorithms on Crime Prediction. by Niyonzima, Ivan, Muhaise, Hussein, Akankwasa, Aureri

“…Crime is an unnecessary evil in society and for any economic, social and political activities to run smoothly, criminal offenses must be completely eliminated from society. …”
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Learning Bounds of ERM Principle for Sequences of Time-Dependent Samples by Mingchen Yao, Chao Zhang, Wei Wu

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Modified Hybrid Discriminant Analysis Methods and Their Applications in Machine Learning by Liwen Huang

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A Tristage Adaptive Biased Learning for Artificial Bee Colony by Qiaoyong Jiang, Yueqi Ma, Yanyan Lin, Jianan Cui, Xinjia Liu, Yali Wu, Lei Wang

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An Adaptive Bacterial Foraging Optimization Algorithm with Lifecycle and Social Learning by Xiaohui Yan, Yunlong Zhu, Hao Zhang, Hanning Chen, Ben Niu

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Weibo Rumor Recognition Based on Communication and Stacking Ensemble Learning by Yu Wu, Yan Zeng, Jie Yang, Zhenni Zhao

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