Fault Detection and Behavior Analysis of Wheelset Bearing Using Adaptive Convolutional Sparse Coding Technique Combined with Bandwidth Optimization by Liu He, Cai Yi, Jianhui Lin, Andy C.C. Tan

“…However, dictionary learning is easily affected by foundation vibration and harmonic interference and cannot learn the key structure related to fault impulses. …”
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Implementation Of Convolutional Neural Network (Cnn) Based On Mobile Application For Rice Quality Determination by Muhammad Zainal Altim, Abdullah Basalamah, kasman kasman

“…The method applied is an experimental method that utilizes machine learning technology by using many rice images that are used as datasets. …”
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Edge-centric optimization: a novel strategy for minimizing information loss in graph-to-text generation by Zheng Yao, Jingyuan Li, Jianhe Cen, Shiqi Sun, Dahu Yin, Yuanzhuo Wang

“…TriELMR adopts three main strategies to reduce information loss during learning: (1) Knowledge Sequence Optimization; (2) EMLR Framework; and (3) Graph Activation Function. …”
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Development of creative abilities of primary school students by means of project-based technologies in foreign countries by Y. Petrytsa

“…Methods that promote the active development of these qualities, such as project-based learning, have proven themselves in the international context as an effective way to unlock the creative potential of students. …”
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Integration Children Behavioral Education According To Luqman And Ulwan Najati by Nur Azwani Mansor @ Noordin, Shahnun Musa, Khairulnazrin Nasir

“…Therefore, this study aims to describe the main methods of education, teaching and learning behaviour towards the formation of commendable values and morals towards children. …”
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Emerging technologies and research ethics: Developing editorial policy using a scoping review and reference panel. by Simon Knight, Olga Viberg, Manolis Mavrikis, Vitomir Kovanović, Hassan Khosravi, Rebecca Ferguson, Linda Corrin, Kate Thompson, Louis Major, Jason Lodge, Sara Hennessy, Mutlu Cukurova

“…If not in these outputs, where should researchers and stakeholders learn about the ethical considerations of research?…”
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A Denoising Based Autoassociative Model for Robust Sensor Monitoring in Nuclear Power Plants by Ahmad Shaheryar, Xu-Cheng Yin, Hong-Wei Hao, Hazrat Ali, Khalid Iqbal

“…In order to address poor regularization and robust learning issues, here, we propose a denoised autoassociative sensor model (DAASM) based on deep learning framework. …”
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Application of Multiattention Mechanism in Power System Branch Parameter Identification by Zhiwei Wang, Liguo Weng, Min Lu, Jun Liu, Lingling Pan

“…The experiment shows that our proposed GTN is superior to other machine learning methods and deep learning methods and can still realize accurate branch parameter identification under various noise conditions.…”
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ADVANCING VOCATIONAL EDUCATION WITH VOCAR-FLIP: IMPROVING STUDENT COMPREHENSION IN THE DIGITAL ERA by Asri Wibawa Sakti, Sri Rahayu, M. Muktiarni, Zahra Ghinaya, Zenita Sabitri

“…This research can contribute to developing more interactive and efficient learning technology for future education. …”
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Classification of ECG signals using deep neural networks by Nadour Mohamed, Cherroun Lakhmissi, Hadroug Nadji

“…The classification of ECG signals using deep learning techniques has garnered substantial interest in recent years; ECG classification tasks have exhibited promising outcomes with the application of deep learning models, particularly convolutional neural networks (CNNs). …”
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Vision-Based Object Recognition and Precise Localization for Space Body Control by Zeyu Shangguan, Lingyu Wang, Jianquan Zhang, Wenbo Dong

“…The contribution of this work is to introduce the deep-learning method for precision motion control and in the meanwhile ensure both the robustness and real time of the system. …”
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Tibetan–Chinese speech-to-speech translation based on discrete units by Zairan Gong, Xiaona Xu, Yue Zhao

“…Despite the paucity of research on Tibetan speech translation, this paper endeavors to tackle the challenge of Tibetan-to-Chinese direct speech-to-speech translation within the multi-task learning framework, employing self-supervised learning (SSL) and sequence-to-sequence model training. …”
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Mechanisms for Activating the Personal Potential of Students in the Context of Digitalization of University Education by E. N. Shutenko, A. I. Shutenko

“…The rapid digitalization of higher education has caused the need to ensure the didactically correct information-communicative technology (ICT) introduction in education, which must organically comply with the structure and logic of the learning process, as well as the task of personal development. …”
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Under the world of AI-generated feedback on writing: mirroring motivation, foreign language peace of mind, trait emotional intelligence, and writing development by Shireen Jamal Mohammed, Maryam Waleed Khalid

“…The qualitative findings (interview) showed that integrating AI-generated feedback into online writing instruction can substantially benefit EFL learners, offering a more supportive and effective learning context. The implications of the study point to the potential for AI to provide more personalized and supportive learning environments, matching a wide range of needs in language learners, thus encouraging further research into AI’s role in language education.…”
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STUDENTS’ INTRINSIC MOTIVATION USING GAME-BASED ACTIVITIES by Nestor L. Lasala Jr

“…This study recommends the integration of GBAs into science education to enhance students’ motivation and improve their learning experiences and outcomes. A more comprehensive study of the effect of GBAs on students’ learning experiences is also recommended. …”
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Sequence-variable attention temporal convolutional network for volcanic lithology identification based on well logs by Hanlin Feng, Zitong Zhang, Chunlei Zhang, Chengcheng Zhong, Qiaoyu Ma

“…Compared with machine learning and deep learning methods, the SVA-TCN demonstrates a remarkable accuracy of 99.00%, surpassing the accuracy of the comparison methods by 0.37–17.69%. …”
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Model-Based Detection of Coordinated Attacks (DCA) in Distribution Systems by Nitasha Sahani, Chen-Ching Liu

“…The developed learning algorithm identifies the most probable attack path to reach the attacker’s objective by predicting the next attack steps. …”
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The Role of Parents in Increasing Children's English Vocabulary in Kelambir V Kebun by Doni Efrizah, Indah Sari, Vivi Oxana Putri

“…The research results showed that parents had a strong influence in enriching children's vocabulary through speaking models, providing visual stimulation, and providing access to various English learning resources. In addition, this research also underlined the importance of creating an environment that supports language learning, adopting a positive approach, and understanding the child's developmental level. …”
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The elementary education Turkish Republic Revolution History and Kemalism course curriculum from the perspectives of social sciences faculty members by Kaya Yılmaz, Yakup Ayaydın

“…The faculty members suggested that the learning outcomes of the curriculum should be simplified by reducing the number of standards, ensuring the balance between the time allocated for teaching and learning outcomes. …”
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A BIBLIOMETRIC ANALYSIS OF ENGINEERING EDUCATION IN THE METAVERSE by Veselina Nedeva, Snejana Dineva, Svetoslav Atanasov

“…Nevertheless, despite its potential benefits for education, there are notable gaps in assessing learning processes within the Metaverse, especially concerning legal limitations and government oversight. …”
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