Edge intelligence-assisted routing protocol for Internet of vehicles via reinforcement learning by Bingyi LIU, Yuhao LIU, Weizhen HAN, Zhenchang XIA, Libing WU, Shengwu XIONG

Subjects: “…multi-agent reinforcement learning…”
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Interpretable Deep Learning for Pneumonia Detection Using Chest X-Ray Images by Jovito Colin, Nico Surantha

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Lifelong learning as a major trend in personnel training: theoretical and practical aspects by Olga Yu. Kalmykova, Natalia V. Ryumina, Svetlana N. Parfenova, Natalya V. Sukhankina

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Developing “learning society” as a basic condition for perfect management education in China by M. Yu. Zakharov, A. V. Shishkova

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The Feasibility of Indonesian Scientific-Based Learning Module with Time Token Arend Method by Nurul Komariyah, Salati Asmahasanah, Kamalludin Kamalludin

“…This study aims to determine the feasibility of teaching materials in the form of scientific- based learning modules with the Arend Time token learning method, where the steps of this learning activity are designed so that students are actively involved in the learning process and carry out the social interaction process with other friends and can contribute actively. …”
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A Few-Shot Learning-Based Material Recognition Scheme Using Smartphones by Yeonju Kim, Jeonghyeon Yoon, Seungku Kim

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Healthy food discourse in language learning: Analysing nutritional content in ELT materials by Widi Pratolo Bambang, Purwanti Eko, Bao Dat, Daifullah Alsulami Naif, Dwi Hatmanto Endro, Wulandari Yosi, Setyo Humanika Eko

“…The research aims to analyze the explicit and implicit messages about healthy eating in ELT textbooks, evaluate the integration of nutritional information with language learning objectives, and explore potential cultural biases in food representation. …”
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CFP-AL: Combining Model Features and Prediction for Active Learning in Sentence Classification by Keuntae Kim, Yong Suk Choi

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Optimizing marketing learning evaluation: Gamification with CIPP model at SMKN 1 Bandung by Dini Haryanti, Ayuni Hanifatunnisa, Zaki Mubarak, Angga Hadiapurwa

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Evolving Metacognitive Strategies in Hyperpolyglots: A Longitudinal Study of Adaptive Language Learning by Angel Osle

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A Gamified Active-Learning Proposal for Higher-Education Heterogeneous STEM Courses by Mario J. Duran, Juan J. Aciego, Ignacio Gonzalez-Prieto, Juan Carrillo-Rios, Angel Gonzalez-Prieto, Alicia Claros-Colome

Subjects: “…active learning…”
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Mathematics e-comic in cultural context to improve student motivation and learning outcomes by Dani Farhan, M Ikhsan, Elizar Elizar

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Implementation of the School as a Learning Organisation Approach in Vocational Education: The Case of Latvia by Gunta Siliņa-Jasjukeviča, Ilze Briška, Inese Lūsēna-Ezera, Agnese Lastovska, Inga Linde

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Rencana Pelaksanaan Pembelajaran (RPP) in learning entrepreneurship subjects at SMAN 1 Lembang by Bella Putri Iskandar, Nabil Fatya NH, Naia Dwi Anindita

“…The continuity of this learning process is essential, considering the rapid dynamics in the business and economic world, requiring students to be skilled in facing future challenges. …”
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When to stop social learning from a predecessor in an information-foraging task by Hidezo Suganuma, Aoi Naito, Kentaro Katahira, Tatsuya Kameda

Subjects: “…social learning…”
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Lung Nodule Detection For CT-Guided Biopsy Images Using Deep Learning by B. Prashanthi, S.P. Angelin Claret

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TEC Map Completion Through a Deep Learning Model: SNP‐GAN by Yang Pan, Mingwu Jin, Shunrong Zhang, Yue Deng

“…Compared to the conventional image inpainting methods, the deep learning methods using generative adversarial networks (GANs) offer an effective image inpainting tool. …”
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Prenatal depression level prediction using ensemble based deep learning model by Abinaya Gopalakrishnan, Xujuan Zhou, Revathi Venkataraman, Raj Gururajan, Ka Ching Chan, Guohun Zhu, Niall Higgins

“…The accuracy of this approach applied to three benchmark datasets produced better results compared to all commonly applied machine learning models, including an Ensemble based Deep Learning model. …”
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Behaviour Generation in Humanoids by Learning Potential-Based Policies from Constrained Motion by Matthew Howard, Stefan Klanke, Michael Gienger, Christian Goerick, Sethu Vijayakumar

“…We present a method for learning potential-based policies from constrained motion data. …”
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Music Generation Using Deep Learning and Generative AI: A Systematic Review by Rohan Mitra, Imran Zualkernan

“…This paper presents a systematic review of recent advances in music generation using deep learning techniques, categorizing the latest research in the field and identifying key contributions from various approaches. …”
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