Exploring the ERP trace of task-set control in the composite design task-switching paradigm by Fangyuan Zhou, Zhongjin Tian, Xiangqian Li

“…Previous research has hypothesized that in the composite design task-switching experiments, participants may employ compound retrieval strategies based on associative learning to complete the tasks. …”
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Towards Deep Learning in Online Courses: A Case Study in Cross-Pollinating Universal Design for Learning and Dialogic Teaching by Qiongli Zhu, Sarfaroz Niyozov

“…Conceptualized through the UDL framework, dialogue and dialogic teaching, and deep learning, our analysis employs the methods of design-based research and thematic analysis to unpack the pedagogical cross-pollination in facilitating deep learning in a postgraduate course in a virtual setting. …”
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Towards Deep Learning in Online Courses: A Case Study in Cross-Pollinating Universal Design for Learning and Dialogic Teaching by Qiongli Zhu, Sarfaroz Niyozov

“…Conceptualized through the UDL framework, dialogue and dialogic teaching, and deep learning, our analysis employs the methods of design-based research and thematic analysis to unpack the pedagogical cross-pollination in facilitating deep learning in a postgraduate course in a virtual setting. …”
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Towards Deep Learning in Online Courses: A Case Study in Cross-Pollinating Universal Design for Learning and Dialogic Teaching by Qiongli Zhu, Sarfaroz Niyozov

“…Conceptualized through the UDL framework, dialogue and dialogic teaching, and deep learning, our analysis employs the methods of design-based research and thematic analysis to unpack the pedagogical cross-pollination in facilitating deep learning in a postgraduate course in a virtual setting. …”
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Structural dynamic response synthesis: A transformer-based time-series GAN approach by Sayed Ali Khodaei, Maryam Bitaraf

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Active learning for advanced biodegradable film design by Yi Gao, Chengcheng Liu, Yang Zhao, Peng Zhao, Feihui Chen, Qinghai Li, Yanguo Zhang, Bin Yang, Hui Zhou

“…Through six iterations with 186 data points for three-target optimization and seven iterations with 166 data points for two-target modeling, a data-driven platform was established to accurately predict CMC film properties based on composition and autonomously identify optimal formulations for specific performance targets. …”
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Structural information of trypsin isozyme GT-B from grass carp (Ctenopharyngodon idellus) intestines by LIU Zhong-yi, WANG Zhang, XU Shi-ying, ZHANG Jian

“…In order to learn the correlation between chemical composition, structure and properties of grass carp intestine trypsin isozyme GT-B, the composition of amino acids, characteristic of ultraviolet absorption, and secondary structural units of this enzyme were investigated by instrumental and chemical analytic methods. …”
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An active learning driven deep spatio-textural acoustic feature ensemble assisted learning environment for violence detection in surveillance videos by Duba Sriveni, Dr.Loganathan R

“…More specifically, the DestaVNet model initially splits input surveillance footage into acoustic and video frames, followed by multi-constraints active learning based on the most representative frame selection. …”
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Strength prediction of ECC-CES columns under eccentric compression using adaptive sampling and ML techniques by Khaled Megahed

“…Subsequently, six machine learning models were used to predict the eccentric compressive capacity based on the generated FE database. …”
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Diagnosis of non-puerperal mastitis based on “whole tongue” features: non-invasive biomarker mining and diagnostic model construction by Siyuan Tu, Yulian Yin, Lina Ma, Hongfeng Chen, Meina Ye

“…Features of tongue images (detection, segmentation, and classification) were quantitated and extracted via deep learning. The microbiota composition was assessed using 16S rRNA gene sequencing (V3–V4 region) and bioinformatic pipelines (QIIME2, DADA2). …”
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Overview of Machine Learning Applications at the Pierre Auger Observatory by Rodriguez Ezequiel

“…The complex spatio-temporal information from shower footprints, comprised of particle arrival times and traces measured by water-Cherenkov detectors, is challenging to analyse with traditional methods but well-suited for machine learning (ML) based analyses. …”
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Methods of evaluation the quality of teaching in higher education institutions by Irina V. Barannikova, Elena N. Shaforostova

“…The aim of the study is to develop a methodology for assessing the quality of training for different groups of experts.Materials and methods. The method of quality assessment and the results of the study, based on the proposed pyramid model of quality assessment with the details of the components, included in its composition, and the designation of their values for evaluation are considered in the paper. …”
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A Hierarchical Path Planning Framework of Plant Protection UAV Based on the Improved D3QN Algorithm and Remote Sensing Image by Haitao Fu, Zheng Li, Jian Lu, Weijian Zhang, Yuxuan Feng, Li Zhu, He Liu, Jian Li

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Advances in machine learning for the detection and characterization of microplastics in the environment by M. Maksuda Khanam, M. Khabir Uddin, Julhash U. Kazi

“…Spectral techniques, including infrared and Raman spectroscopy, leverage molecular vibrations to facilitate highly specific identification of polymer types, even within heterogeneous matrices. Image-based methods make use of sophisticated computer vision techniques to classify microplastics by shape, size, and color, reducing the subjectivity inherent in manual counting. …”
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NeXtMD: a new generation of machine learning and deep learning stacked hybrid framework for accurate identification of anti-inflammatory peptides by Chengzhi Xie, Yijie Wei, Xinwei Luo, Huan Yang, Hongyan Lai, Fuying Dao, Juan Feng, Hao Lv

“…While various machine learning and deep learning approaches have been explored, their limitations in feature representation and model integration hinder the effective discovery of novel AIPs. …”
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Classification of Music Structural Functions using Deep Learning by Dina A. AbdulQader, Piotr Bilski

“…The following paper presents a novel approach to MSA that aims to predict labels for structural music segments (such as verse or chorus), thereby it would enhance any MSA-based applications. This is the supervised approach in contrast to clustering-based methods. …”
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Accompanying study of the development process towards a smart city strategy-with a particular focus on social change by Christian SCHACHTNER, Nadine BAUMANN

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Texture Feature Extraction and Classification of SEM Images of Wheat Straw/Polypropylene Composites in Accelerated Aging Test by Huan Zhang, Chunxia He, Min Yu, Jingjing Fu

“…Wheat straw/polypropylene composites are green recycled and biomass-based material. …”
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Multi-function composite data generation and PIMamba model for fault diagnosis in sucker-rod pumping wells by Senhao Ren, Wenqiang Tang, Chao Ma, Li Hou, Xiaodong Chen, Jiashan Lin, Jie Yang, Yun Yang, Xiao Huo, Guoxin Li, Daowei Zhang

“…With the development of deep learning, several automated methods based on deep learning have been proposed to analyze the specific working conditions of pumping wells from dynamometer cards. …”
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Interpretability Study on the Fault Diagnosis Model of the Heat pipe/ Vapor Compression Composite Air Conditioning System by ZHANG Yiqi, HUANG Shuoquan, LI Xiuming, DI Yanqiang, SONG Mengjie, HAN Zongwei

“…This study develops a composite fault diagnosis model based on typical machine learning algorithms, compares the diagnostic performance of different models, and finally conducts interpretability research on the diagnostic models using the SHAP method. …”
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