Modern Evaluation Methods at Various Levels of Education by I. N. Emelyanova, O. A. Teplyakova, G. Z. Efimova

“…In the field of education, the knowledge-focused paradigm shift to the practice-oriented one updates the problems of measurement of learning outcomes as the former methodical tools are no longer available. …”
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Adaptive Refinement of Segmented Object Contour Based on the Brightness of Neighboring Pixels Using the Ensemble Method by Vladyslav D. Koniukhov

“…Classical segmentation methods face significant challenges when segmenting X-ray images where there are objects with fuzzy boundaries. …”

Semi-Supervised Fault Diagnosis Method for Hydraulic Pumps Based on Data Augmentation Consistency Regularization by Siyuan Liu, Jixiong Yin, Zhengming Zhang, Yongqiang Zhang, Chao Ai, Wanlu Jiang

“…Due to the scarcity of labeled samples, the practical engineering application of deep learning-based hydraulic pump fault diagnosis methods is extremely challenging. …”
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Evolution of CFD as an engineering science. A personal perspective with emphasis on the finite volume method by Runchal, Akshai Kumar

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Digital Generation: Teaching Methods and Technologies during Pandemic by T. I. Zakharova

“…Only the most advanced methods, methodology and practices can enable teachers to cover completely the subject field and develop skills of analytical and critical thinking of the digital generation or generation Z, as we call people born after 2000. …”
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Game-Learning: a tangible RFID-based gamified system integrating pictophonics and reinforcement learning to accelerate early grapheme–phoneme acquisition by Cesar Guevara, Diego Bonilla-Jurado, Patricia Acosta-Vargas

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Innovative multimodal educational strategies: assessing the impact of integrative teaching methods on standardized neurology resident training by Peipei Huang, Wang Miao, Rui Wang, Fan Yang, Xiufang Li, Nannan Shen

“…The experimental group (51 participants) utilized a novel teaching model that integrated micro-learning, bedside teaching, and CBL, while the control group (52 participants) employed Lecture-Based Learning (LBL) methods. …”
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Machine learning based on a generative adversarial tri-model by Song Wang, Ning Xi, Zhengfang Zhou

“…The GAT method is successfully implemented to solve ODE (ordinary differential equation) problems with various constraints. …”
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Micro-expression recognition method based on progressive attention by ZHAN Ziwei, SUN Zhaocai, LI Xiang, WU Zhendong

“…The proposed network was tested on SMIC, CASMEII and SAMM datasets, achieving accuracy rates of 0.826, 0.880 and 0.787, and F1 scores of 0.817, 0.864 and 0.761, respectively. The proposed method can serve as an auxiliary tool for lie detection and early screening of mental health conditions.…”
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Machine learning applications in placenta accreta spectrum disorders by Mahsa Danaei, Maryam Yeganegi, Sepideh Azizi, Fatemeh Jayervand, Seyedeh Elham Shams, Mohammad Hossein Sharifi, Reza Bahrami, Ali Masoudi, Amirhossein Shahbazi, Amirmasoud Shiri, Heewa Rashnavadi, Kazem Aghili, Hossein Neamatzadeh

Subjects: “…Machine Learning…”
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Evaluating Feature Selection Methods for Accurate Diagnosis of Diabetic Kidney Disease by Valeria Maeda-Gutiérrez, Carlos E. Galván-Tejada, Jorge I. Galván-Tejada, Miguel Cruz, José M. Celaya-Padilla, Hamurabi Gamboa-Rosales, Alejandra García-Hernández, Huizilopoztli Luna-García, Klinge Orlando Villalba-Condori

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A Review of Research on Cloud Detection Methods for Hyperspectral Infrared Radiances by Zhuoya Ni, Mengdie Wu, Qifeng Lu, Hongyuan Huo, Chunqiang Wu, Ruixia Liu, Fu Wang, Xiaoying Xu

“…Deep learning cloud detection methods can quickly learn the mapping relationship between infrared hyperspectral radiation characteristics and FOV cloud distribution from a large amount of infrared radiative information with known FOV cloud labels. …”
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Novel machine learning paradigms-enabled methods for smart building operations in data-challenging contexts: Progress and perspectives by Fan Cheng, Lei Yutian, Mo Jinhan, Wang Huilong, Wu Qiuting, Cai Jiena

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Prediction of Shield Tunneling Attitude Based on WM-CTA Method by GAO Su, CHEN Cheng

“…To ensure that shield tunneling closely aligns with the designed alignment and to improve engineering construction quality, this study proposes a novel shield attitude prediction model, called WM-CTA, based on deep learning technology. [Methods] The WM-CTA model primarily consists of two frameworks: a data preprocessing module (Wavelet Transform and Maximum Information Coefficient) and a prediction module (Convolutional Neural Network and Attention Mechanism). …”
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Sequence-Information Recognition Method Based on Integrated mDTW by Boliang Sun, Chao Chen

“…Traditional deep-learning-based methods seem to have reached performance ceilings in certain specific areas, such as online character recognition. …”
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DBO-DELM Method for Predicting Rolling Forces in Cold Rolling by LI Xiaoyang, PIAO Chunhui, WANG Xuelei, ZHANG Mingzhi

“…In summary, the DBO-DELM rolling force prediction model has obvious improvement in prediction accuracy compared with the existing neural network model in multiple frames and shows good generalisation ability, which provides an effective method for the rolling force prediction in cold continuous rolling.…”
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THE INVERSE GAUSSIAN PLUME METHOD FOR ESTIMATING THE LEVEL OF AIR POLLUTION by Volodymyr Hura, Liubomyr Monastyrskyi

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An online monitoring method of milling cutter wear condition driven by digital twin by Xintian Zi, Shangshang Gao, Yang Xie

“…For the milling tool wear state is difficult to real-time visualization monitoring and individual tool wear prediction model deviation is large and is not stable and so on, a digital twin-driven ensemble learning milling tool wear online monitoring novel method is proposed in this paper. …”
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A Federated Adversarial Fault Diagnosis Method Driven by Fault Information Discrepancy by Jiechen Sun, Funa Zhou, Jie Chen, Chaoge Wang, Xiong Hu, Tianzhen Wang

“…Traditional regularization-based FL methods can partially mitigate the performance disparity between local models. …”
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Multistage Training and Fusion Method for Imbalanced Multimodal UAV Remote Sensing Classification by Shihao Wang, Zhengwei Xu, Yun Lin

“…Existing methods predominantly focus on parameter tuning and gradient modulation, failing to resolve inherent conflicts from divergent modality optimization trajectories. …”
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