A Detection Method of Lentinus Edodes Based on Improved YOLOv4 Algorithm by HUANG Ying-lai, LI Da-ming, LU Xin, YANG Liu-song

“…In order to explore the picking of Lentinus edodes which are cultivated in bags, a recognition algorithm based on improved YOLOv4 is proposed.The main improvement measures are: in the structure of PANet (Path Aggregation Network), we add a feature map path with residual attention mechanism to improve the recognition accuracy of small targets, and replace the convolution layer in PANet network with deep separable convolution structure to reduce the amount of parameters.Focal loss is selected to improve the original confidence loss function.In the aspect of data preprocessing, gamma transform method is used to enhance and expand the data.In the training process, the idea of transfer learning is used to load the pre training weight of VOC data set on the backbone network.Compared with the original YOLOv4 algorithm, the mAP value is increased by 4.82 percentage points to 94.39%, and the amount of algorithm parameters is reduced by 58.13%.The algorithm is more efficient and lightweight, providing visual algorithm support for mechanical picking.…”
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A Hexagon Sensor and A Layer-Based Conversion Method for Hexagon Clusters by Jun-Ho Kim, Hanul Sung

“…Our evaluations demonstrate that the hexagon sensor, combined with the layer-based conversion method, achieves a learning speed up to 1.4 times faster and yields up to twice the rewards compared to conventional sensors. …”
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PREDICT: a method for inferring novel drug indications with application to personalized medicine by Assaf Gottlieb, Gideon Y Stein, Eytan Ruppin, Roded Sharan

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Early Detection of Mental Health Disorders based on Sentiment using Stacking Method by Naufal Maldini, Danang Wahyu Utomo, Rahmadika Putri Tresyani

“…The study results indicate that the Stacking Classifier method achieved an accuracy of 95.66%, with a precision of 95.63%, recall of 95.66%, and F1-Score of 95.64%. …”
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An Iterative Tuning Method for Feedforward Control of Parallel Manipulators Considering Nonlinear Dynamics by Xiaojian Wang, Jun Wu

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A Predictive Method for Unplanned Postoperative Readmission Risk Based on Heterogeneous Data by Kai YU, Xiaofeng DONG, Zhenming YUAN, Zhaojian CUI, Weibin LUO

“…The CTFN method is capable of effectively integrating data from two different structures based on deep learning technology, thereby facilitating the acquisition of favorable prediction outcomes. …”
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Data-driven fault identification method of RV reducer used in industrial robot by Dongdong Guo, Yan Zhang, Xiangqun Chen, Hao Peng, Zongrui Jiang, Haitao Ma, Wenbo Du

“…The constant speed segment data extraction method is designed to overcome the difficulty of frequency domain analysis caused by non-uniform rotation in working conditions and ensure the quality and effectiveness of features extraction. …”
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Credibility-Adjusted Data-Conscious Clustering Method for Robust EEG Signal Analysis by Fatemeh Divan, Teh Ying Wah, Kheng Seang Lim, Ali Seyed Shirkhorshidi

“…This study presents the Credibility-Adjusted Data Conscious Clustering Method (CADCCM), an adaptive computational learning model for clustering neurodata, including EEG signals. …”
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High Precision Detection Pipe Bursts Based on Small Sample Diagnostic Method by Guoxin Shi, Xianpeng Wang, Jingjing Zhang, Xinlei Gao

“…In order to improve the accuracy of pipe burst detection in water distribution networks (WDNs), a novel small sample diagnosis method (SSDM) based on the head loss ratio (HLR) method and deep transfer learning (DTL) method has been proposed. …”
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A method for predicting postpartum depression via an ensemble neural network model by Yangyang Lin, Dongqin Zhou

“…Although there are many existing machine learning classifiers for PPD prediction, the requirements for high accuracy and the interpretability of models present new challenges.MethodsThis paper designs an ensemble neural network model for predicting PPD, which combines a Fully Connected Neural Network (FCNN) and a Neural Network with Dropout mechanism (DNN). …”
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PGBTR: a powerful and general method for inferring bacterial transcriptional regulatory networks by Wei-Cheng Gu, Bin-Guang Ma

“…On the real Escherichia coli and Bacillus subtilis datasets, PGBTR outperforms other advanced supervised and unsupervised learning methods in terms of AUROC (Area Under the Receiver Operating Characteristic Curve), AUPR (Area Under Precision-Recall Curve), and F1-score. …”
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Automated Detection Method for Bolt Detachment of Wind Turbines in Low-Light Scenarios by Jiayi Deng, Yong Yao, Mumin Rao, Yi Yang, Chunkun Luo, Zhenyan Li, Xugang Hua, Bei Chen

“…The approach leverages the deep convolutional generative adversarial network (DCGAN) to expand and augment the small-sample bolt dataset. Transfer learning is then applied to train the Zero-DCE++ low-light enhancement model and the bolt defect detection model, with the experimental verification of the proposed method’s effectiveness. …”
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A Time Series Decomposition-Based Interpretable Electricity Price Forecasting Method by Yuanke Cu, Kaishu Wang, Lechen Zhang, Zixuan Liu, Yixuan Liu, Li Mo

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Research on Natural Language Misleading Content Detection Method Based on Attention Mechanism by Boning Liu

“…Within the scope of the Frontiers in Computer Science, which emphasizes intelligent information systems, trustworthy AI, and content safety, this study introduces a robust and generalizable method for detecting misleading content across diverse linguistic and contextual domains. …”
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Insulator Surface Defect Detection Method Based on Graph Feature Diffusion Distillation by Shucai Li, Na Zhang, Gang Yang, Yannong Hou, Xingzhong Zhang

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A seismic random noise suppression method based on CNN-Mamba by Xiujuan WEI, Xingye LIU, Huailai ZHOU

“…However, mainstream random noise intelligent methods based on convolutional neural networks (CNNs) are constrained by their local receptive fields. …”
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Predicting Clinician Fixations on Glaucoma OCT Reports via CNN-Based Saliency Prediction Methods by Mingyang Zang, Pooja Mukund, Britney Forsyth, Andrew F. Laine, Kaveri A. Thakoor

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Language education in the universities by Galina Cisowska

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The Use of Padlet Application as a Reflection Tool for Science Teachers' Teaching Practice: A Mixed Methods Study by Sri Wahyuni, Wirawan Fadly

“…Many science teachers have not yet used reflection as a means of learning evaluation, making it difficult for them to identify problems and find solutions. …”
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Video-based learning for basic surgical skills - A randomized trial by I. Dantas, I. Jorge, A. Nicolau, M. Vales, C. Coutinho, S. Rodrigues, P. Febra, V.N. Lopes

Subjects: “…Video-based learning…”
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