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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Creativity as the basis of thinking skills development in the process of cognitive learning activity by Inga V. Cherkasova

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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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Interpretable Machine Learning to Forecast SEP Events for Solar Cycle 23 by Spiridon Kasapis, Lulu Zhao, Yang Chen, Xiantong Wang, Monica Bobra, Tamas Gombosi

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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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Intelligent educational technologies in individual learning: a systematic literature review by Nurassyl Kerimbayev, Karlygash Adamova, Rustam Shadiev, Zehra Altinay

Subjects: “…Individual learning…”
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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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Deep-learning-based extraction of circle of Willis topology with anatomical priors by Dieuwertje Alblas, Iris N. Vos, Micha M. Lipplaa, Christoph Brune, Irene C. van der Schaaf, Mireille R. E. Velthuis, Birgitta K. Velthuis, Hugo J. Kuijf, Ynte M. Ruigrok, Jelmer M. Wolterink

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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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Online peer-tutoring: a renewed impetus for autonomous English learning by Luis Ignacio Herrera Bohórquez, José David Largo Rodríguez, John Jairo Viáfara González

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Reading Modi Lipi: A Deep Learning Journey in Character Recognition by Kanchan Varpe, Sachin Sakhare

Subjects: “…deep learning…”
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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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Enhancing Postgraduate Learning and Teaching: Postgraduate Summer School in Dairy Science by Pietro Celi, Gianfranco Gabai, Massimo Morgante, Luigi Gallo

“…Overall, participants have uniformly praised the Summer School calling it a rewarding and valuable learning experience. The Ph.D. Summer School in Dairy Science provided its participants a positive learning experience, provided them the opportunity to establish an international network, and facilitated the development of transferable skills.…”
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Disease Identification of Lentinus Edodes Sticks Based on Deep Learning Model by Dawei Zu, Feng Zhang, Qiulan Wu, Wenyan Wang, Zimeng Yang, Zhengpeng Hu

“…Aiming to solve this problem, this paper proposes a method for identifying infected Lentinus edodes sticks based on improved ResNeXt-50(32 × 4d) deep transfer learning. First, a dataset of Lentinus edodes stick diseases was constructed. …”
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Software-defined networking QoS optimization based on deep reinforcement learning by Julong LAN, Xueshuai ZHANG, Yuxiang HU, Penghao SUN

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