Semisupervised Learning Based Opinion Summarization and Classification for Online Product Reviews by Mita K. Dalal, Mukesh A. Zaveri

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Distributed Typhoon Track Prediction Based on Complex Features and Multitask Learning by Yongjiao Sun, Yaning Song, Baiyou Qiao, Boyang Li

“…Existing works do not fully consider these factors; thus, there is significant room for improving the accuracy of predictions. To this end, we presented a novel typhoon track prediction framework comprising complex historical features—climatic, geographical, and physical features—as well as a deep-learning network based on multitask learning. …”
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Research on Personal Loan Default Risk Assessment Based on Machine Learning by Liu Guangsen

“…In the present era of rapid development of the Internet and big data, the scale of personal loans and the complexity of personal credit data are growing rapidly. …”
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Stress–strain curve predictions by crystal plasticity simulations and machine learning by Dmitry S. Bulgarevich, Makoto Watanabe

“…Here, we present our version to predict the temperature dependence of SSCs for LPBF fabricated industrially important Hastelloy X with various ML methods. …”
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Phygital Education through Storytelling and Learning by Doing: the Binario 9 ¾ project by Fabio Sartori, Claudia Maga, Barbara Tosi, Alessandro Varallo

“…An example of alternative methods employed in this project is phygital education, which can be used as a profitable framework to implement innovative teaching method of STEM disciplines at school. In this paper we present a recent project, namely Binario 9 ¾, where phygital education has been developed through virtual communities of practice and digital storytelling adoption, to support students of middle school with learning disorders or difficulties to bridge the gap with others. …”
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Integration of Artificial Intelligence (AI) in Learning English Writing in Higher Education by Nurul Aini, Yazid Basthomi

“… This article presents a conceptual analysis around the integration of Artificial Intelligence (AI) in learning English writing in higher education. …”
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Sentinel-1 Polarization Comparison for Flood Segmentation Using Deep Learning by Mohammadali Abbasi, Reza Shah-Hosseini, Mohammad Aghdami-Nia

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Between play and learning: Teacher’s perception of children’s well-being at school by Francesca Berti, Giulia Consalvo, Simone Seitz

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A Systematic Review of Deep Learning Approaches to Educational Data Mining by Antonio Hernández-Blanco, Boris Herrera-Flores, David Tomás, Borja Navarro-Colorado

“…This paper surveys the research carried out in Deep Learning techniques applied to EDM, from its origins to the present day. …”
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Deep learning model for recognizing fresh and rotten fruits in industrial processes by Carlos Arias, Camilo Baldovino, José Gómez, Brian Restrepo, Sergio Sánchez

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A learning design to promote changes in teacher´s digital assessment practices by Alda Pereira, Isolina Oliveira

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A Driver’s Calling Behavior Detection Method Based on Deep Learning by XIONG Qunfang, LIN Jun, YUE Wei, LIU Shiwang, LUO Xiao, DING Chi

“…This paper proposed a driver’s cell phone calling behavior detection algorithm based on deep learning. The algorithm comprises two steps. Firstly, face detection and face tracking is supported by PCN (progressive calibration networks) to determine the calling detection area. …”
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An Assessment of Land Use Land Cover Using Machine Learning Technique by V. Pushpalatha, H. N. Mahendra, A. M. Prasad, N. Sharmila, D. Mahesh Kumar, N. M. Basavaraju, G. S. Pavithra and S. Mallikarjunaswamy

“…This research paper presents a comprehensive assessment of the built-up area in Mysuru City over the decade spanning from 2010 to 2020, employing advanced geospatial techniques. …”
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Active Teaching-learning Methodologies in Higher Education: A Project with the Community by Jenny Sousa, Catarina Mangas

“…Active teaching-learning methodologies are a reality at the School of Education and Social Sciences of the Polytechnic of Leiria (Portugal), namely through the articulation with institutions of the community. …”
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Research of Pedestrian Detection Methods with Anchor Frame Based on Deep Learning by Yan Tao

“…Deep learning-based pedestrian detection techniques are examined in this research, and anchor frame-based pedestrian detection techniques are separated, contrasted, and examined in light of the anchor frames. …”
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New Practices оf Engineering Education in Conditions of Distance Learning by T. A. Olkhovaya, E. V. Poyarkova

“…The experience of introducing digital services to support the educational process at Orenburg State University is analyzed; an analysis is made of the students’ comprehensive perception of the new educational practice specifics associated with the creation of the “digital footprint”. The presented data show an increase in students’ demand for flexible individual educational paths, for a variety of forms of learning and for the formation of new competencies in the field of digital skills, creativity, the ability to self-learn and manage attention, create communities, and reflectivity. …”
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No effect of novel exploration on the consolidation of extinction learning in human context conditioning by Thomas Agren, Johannes Björkstrand, Jörgen Rosén

“…Abstract Animal research show that a novel exploration task performed shortly before a learning episode can strengthen hippocampal memory consolidation through behavioural tagging mechanisms. …”
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The Leadership Lessons of Ted Lasso: Enhancing the Discussion of Influence in Learning Environments by Christopher P. Neck, Christopher B. Neck

“…While leadership research has often debated the distinctions between moral leadership frameworks, Ted Lasso (the main character in the television series) presents a compelling example of how these approaches can operate in tandem. …”
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Point Cloud Deep Learning Methods for Particle Shower Reconstruction in the DHCAL by Borysova Maryna, Bressler Shikma, Gross Eilam, Kakati Nilotpal, Zavazieva Darina

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Scattering-Based Machine Learning Algorithms for Momentum Estimation in Muon Tomography by Florian Bury, Maxime Lagrange

“…An alternative consists of leveraging information on scattering withstood through a known medium. We present a comprehensive study of diverse machine-learning algorithms for this regression task, from classical feature engineering with a fully connected network to more advanced architectures such as recurrent and graph neural networks and transformers. …”
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