Analysis of the need for digital history teaching materials for the merdeka curriculum in senior high schools by Muhammad Fajrul Falah, Endang Sri Andayani, R Reza Hudiyanto

“…Changing from the 2013 curriculum to a Merdeka curriculum means that learning tools, including teaching materials, must be adjusted to appropriate learning outcomes and objectives of history subject. …”
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A spatial interpolation method based on 3D-CNN for soil petroleum hydrocarbon pollution. by Sheng Miao, Guoqing Ni, Guangze Kong, Xiuhe Yuan, Chao Liu, Xiang Shen, Weijun Gao

“…The results indicate that compared with traditional Kriging3D methods (R2 = 0.318) and other machine learning methods such as support vector regression (R2 = 0.582), the proposed 3DCNN based method can achieve better accuracy (R2 = 0.954). …”
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Masked autoencoder of multi-scale convolution strategy combined with knowledge distillation for facial beauty prediction by Junying Gan, Junling Xiong

“…Masked autoencoder (MAE) is a self-supervised learning method that outperforms supervised learning methods without relying on large-scale databases. …”
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A Full Stage Data Augmentation Method in Deep Convolutional Neural Network for Natural Image Classification by Qinghe Zheng, Mingqiang Yang, Xinyu Tian, Nan Jiang, Deqiang Wang

“…Nowadays, deep learning has achieved remarkable results in many computer vision related tasks, among which the support of big data is essential. …”
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Trivariate Stochastic Weather Model for Predicting Maize Yield by Patrick Chidzalo, Phillip O. Ngare, Joseph K. Mung’atu

“…The trivariate stochastic process predicts maize yield with R2=0.8389 and MAPE=4.31% under a deep learning framework. Its aggregated values predict maize yield with R2 up to 0.9765 and MAPE=1.94% under common machine learning algorithms. …”
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Neuroplasticity and activity-based rehabilitation of a patient with post-surgical chronic Pott’s spine: a case report by Raveena Kini, Prachita Walankar, Aman Minocha, Vrushali Panhale

“…Conclusion Neuroplasticity and activity-based learning assisted in improving the functional status and quality of life in a patient surgically managed with decompression and spinal fusion post-Potts spine.…”
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Immersive Technologies in the Educational Practice of Russian Universities by D. P. Ananin, A. Yu. Suvirova

“…The cases of Russian universities evidence that immersive educational technologies are slowly finding their niche in higher and postgraduate education as a learning tool. Providing immersion of students in the real conditions of professional skills application, immersive educational products are designed to practice the algorithms of operations in standard and non-standard situations of their (future) occupations individually. …”
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Automated and Reproducible Detection of Vascular Endothelial Growth Factor (VEGF) in Renal Tissue Sections by Nayana Damiani Macedo, Aline Rodrigues Buzin, Isabela Bastos de Araujo, Breno Valentim Nogueira, Tadeu Uggere Andrade, Denise Coutinho Endringer, Dominik Lenz

“…Subsequently, machine learning classified the cells as VEGF+ and VEGF- cells. …”
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Artificial intelligence techniques applications in the wastewater: A comprehensive review by Zakur Yahya, Márquez Fausto, Al-Taie Ali, Alsaidi Saif, Alsadoon Abeer, Mirashrafi Seyed Bagher, Flaih Laith, Zakoor Yousif

“…The critical gaps and the future directions in the (AI) algorithms for the wastewater treatment, including the explain ability of the data-driven models or transfer Learning processes and reinforcement learning, are also addressed.…”
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Simulation Design of a Live Working Manipulator for Patrol Inspection in Power Grid by Tao Xie, Zhengyu Li, Yongyun Zhang, Bin Yuan, Xiao Liu

“…Firstly, the traditional DDPG algorithm is improved to optimize the action value function of Q-learning to get a better control strategy, and the weighted sampling technique is used to add priority to each sample in the replay buffer, which improves the learning speed and accelerates the convergence speed. …”
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Application of an improved LightGBM hybrid integration model combining gradient harmonization and Jacobian regularization for breast cancer diagnosis by Xiaoyan Sun

“…In recent years, intelligent medical assistants supported by data mining and machine learning algorithms have provided necessary support for doctors’ diagnosis. …”
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Normalization-Guided and Gradient-Weighted Unsupervised Domain Adaptation Network for Transfer Diagnosis of Rolling Bearing Faults Under Class Imbalance by Hao Luo, Xinyue Wang, Li Zhang

“…Transfer learning has garnered significant interest in the field of bearing fault diagnosis under varying operational conditions due to its robust generalization capabilities. …”
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A Research-Informed Approach to Curriculum Development: Designing a Vocational English Course for a Specific Topic in Graphic Design by Ahmad Syairofi, Suwarno Suwarno

“…The analysis concerns the four key aspects of ESP (i.e., needs analysis, learning objectives, materials and methods, and evaluation). …”
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Contributing factors for participation and independence in children and youths with disabilities by Anna Karin Axelsson, Magnus Ivarsson, Henrik Danielsson, Anna Ullenhag

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Perceptions and Performance of dental students using Conventional and Virtual Microscopy in Oral Pathology by Gulmina Saeed Orakzai, Waqar-Un-Nisa, Saima Irshad, Nabeela Naeem, Ammarah Afreen, Zarah Afreen

“…Conclusion: In this study the students preferred teaching of oral histopathology via virtual slides over conventional glass slides and it also contributed more to their learning. Keyword: Conventional microscopy, dental students, virtual microscopy, oral pathology …”
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How to Develop Renewable Power in China? A Cost-Effective Perspective by Rong-Gang Cong, Shaochuan Shen

“…To address the problems of climate change and energy security, Chinese government strived to develop renewable power as an important alternative of conventional electricity. In this paper, the learning curve model is employed to describe the decreasing unit investment cost due to accumulated installed capacity; the technology diffusion model is used to analyze the potential of renewable power. …”
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Reactive Power Control of Single-Stage Three-Phase Photovoltaic System during Grid Faults Using Recurrent Fuzzy Cerebellar Model Articulation Neural Network by Faa-Jeng Lin, Kuang-Chin Lu, Hsuan-Yu Lee

“…In addition, the online learning laws of 2D-RFCMANN are derived according to gradient descent method with varied learning-rate coefficients for network parameters to assure the convergence of the tracking error. …”
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Application of Multitask Joint Sparse Representation Algorithm in Chinese Painting Image Classification by Dongyu Yang, Xinchen Ye, Baolong Guo

“…The discriminative ability of multiple features for target recognition is integrated by multitask learning, thus improving the robustness and generalization ability of the algorithm; meanwhile, the recognition accuracy is improved by using a two-level multitask learning mode to exclude the interference of a large number of irrelevant dictionary atoms. …”
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Application of Internet of Things Based on Big Data Ecosystem in Factory Energy Consumption Analysis Model by Ang Li, Chen Zhang, Lei Li

“…In 2019, the average ratio of decision tree algorithm, machine learning algorithm, and machine learning algorithm was 36.8%, 37.4%, and 43.5%, respectively. …”
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Family Background and School Achievement of Children with Motoric Disorders by Jasmina Radojlovic, Danijela Ilic-Stosovic, Nela Djonovic, Tatjana Simovic

“…There is a correlation between school achievement and  educational status of parents, marital status of parents, parental assistance in homework, encouraging child to learn when child is coping with some difficulties at school, ensuring consistency in learning and conversation between parents and child on various topics.…”
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