Learning from Failures: Architectures of Emergency in Contested Spaces (Pyla, Cyprus) by Socrates Stratis

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Nest excavators’ learning walks in the Australian desert ant Melophorus bagoti by Sudhakar Deeti, Donald James McLean, Ken Cheng

“…Following their initial learning expedition, these ants then engaged in nest excavation activities. …”
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IMPROVING STUDENT COMPETENCE THROUGH LEARNING MANAGEMENT OUTCOME BASED EDUCATION by Khotimatul Husna, Akmal Mundiri, Abu Hasan Agus R

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A Decomposition Algorithm for Learning Bayesian Networks Based on Scoring Function by Mingmin Zhu, Sanyang Liu

“…Learning Bayesian network (BN) structure from data is a typical NP-hard problem. …”
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A Semi-supervised Deep Learning Method for Cervical Cell Classification by Siqi Zhao, Yongjun He, Jian Qin, Zixuan Wang

“…To address this problem, we propose a method to ensure high accuracy in cervical cell classification with a small amount of labeled data by introducing manual features and a voting mechanism to achieve data expansion in semi-supervised learning. The method consists of three main steps, using a clarity function to filter out high-quality cervical cell images, annotating a small amount of them, and balancing the training data using a voting mechanism. …”
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DeepRetention: A Deep Learning Approach for Intron Retention Detection by Zhenpeng Wu, Jiantao Zheng, Jiashu Liu, Cuixiang Lin, Hong-Dong Li

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Prediction of Coal Mining Subsidence Based on Machine Learning Probability Theory by Xiaohong Tian, Xinyuan Jin, Xinwei He

“…This paper mainly studies the prediction process of mining subsidence based on machine learning probability theory. In this paper, the mining subsidence problem is studied. …”
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From boredom to excitement: unleashing motivation with Kahoot in English language learning by Abdullah Noori, Asadullah Azimi

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Learning to Be a Father: How is it done? Isn't there a manual somewhere? by Kate Fogarty, Garret D. Evans

“…Evans, discusses ways men can learn how to be good fathers. Includes recommended resources in English and Spanish, and references. …”
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Unlocking biological complexity: the role of machine learning in integrative multi-omics by Ravindra Kumar, Rajrani Ruhel, Andre J. van Wijnen

“…By integrating machine learning in multi-omics, we can enhance our understanding of drug discovery, disease, pathway, and network analysis. …”
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Evaluation of machine learning models for the prediction of Alzheimer's: In search of the best performance by Michael Cabanillas-Carbonell, Joselyn Zapata-Paulini

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Online Self-Supervised Learning for Accurate Pick Assembly Operation Optimization by Sergio Valdés, Marco Ojer, Xiao Lin

Subjects: “…self-supervised learning…”
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The Babushka Concept– An Instructional Sequence to Enhance Laboratory Learning in Science Education by Sofie Gårdebjer, Anette Larsson, Tom Adawi

“…The evaluation focused on the students’ perceptions of the intervention as well as their learning gains. A majority of the students found the Babushka concept helpful for their learning and agreed that this concept should be used in other courses. …”
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The application of machine learning approaches to classify and predict fertility rate in Ethiopia  by Ewunate Assaye Kassaw, Biruk Beletew Abate, Bekele Mulat Enyew, Ashenafi Kibret Sendekie

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Machine learning-enhanced high-resolution exposure assessment of ultrafine particles by Yudie Jianyao, Hongyong Yuan, Guofeng Su, Jing Wang, Wenguo Weng, Xiaole Zhang

“…In this study, we developed a stacking-based machine learning framework integrating data-driven and physical-chemical models for a national-scale UFP exposure assessment at 1 km spatial and 1-hour temporal resolutions, leveraging long-term standardized PNC measurements in Switzerland. …”
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Reinforcement Learning–Based Ramp Metering Strategy Considering Queue Management by Yang Yang, Shixuan Yu, Fan Ding, Yu Han

“…This paper introduces an action replacement module for reinforcement learning (RL)–based ramp metering to address the issue of ramp queue spillback during the training process. …”
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Investigating the effects of hyperparameter sensitivity on machine learning algorithms for PV forecasting by Ehtsham Muhammad, Rotilio Marianna, Cucchiella Federica, Di Giovanni Gianni, Schettini Domenico

“…Machine Learning (ML) models have been introduced in the past, and users have debated whether to tune the hyperparameters of the models. …”
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Continuous User Verification in Cloud Storage Services using Deep Learning by burhan albayati

“…The best experimental result achieved an EER of 3.6% based on applying a deep learning algorithm (CNN). This result indicates and encourages the feasibility of using behavioral profiling to protect cloud users from misuse. …”
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Gender Classification With Hand-Wrist Radiographs Using the Deep Learning Method by İbrahim Yücel Özbek, Mustafa Taha Güller, Zeynep Turanli Tosun, Nida Kumbasar, Özkan Miloğlu

Subjects: “…deep learning…”
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Book Review on Second Language Teaching and Learning through Virtual Exchange by Li Siying

“…Journal of China Computer-Assisted Language Learning…”
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