Adaptive Neurofeedback Training Using a Virtual Reality Game Enhances Motor Imagery Performance in Brain–Computer Interfaces by Kun Wang, Yuwei Liu, Feifan Tian, Weibo Yi, Yang Zhang, Tzyy-Ping Jung, Minpeng Xu, Dong Ming

“…Therefore, we proposed an adaptive NFT based on a VR game that simulates real-life motor tasks to improve training efficiency. …”
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Research on Modulation Format Recognition for Underwater Visible Light Communication based on BiGRU by GAO Wendi, WANG Yunkai, XU Chi, XU Zengyi, CHI Nan

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ABOUT METHODOLOGICAL TRAINING OF TEACHER-MUSICIANS by Y. A. Bodina

“…The author focuses on modernization of methodology training of teachermusicians with the emphasis on general features of the modern musical environment affecting students’ personality. …”
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Enhancing Children's Competence in Religious Roles: The Development of Imams, Khatibs, and Preachers in Jorong Baduih, Tanah Datar by Fadhilatul Khaira, Arina Ilfa Rusyda, Asrianti Resita Sari, Azra Sastya Johanda, Rania Amallya, Khalis Alfarizi, Nofrita Agustia, Siti Yohana, Nafa Dwi Apriliani, Irvan Putra Pratama, Zalnofri Zalnofri, Imam Maulana, Afdhal Afdhal

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Bearing fault diagnosis based on a multiple-constraint modal-invariant graph convolutional fusion network by Zhongmei Wang, Pengxuan Nie, Jianhua Liu, Jing He, Haibo Wu, Pengfei Guo

“…Firstly, a Convolutional Autoencoder (CAE) and Squeeze-and-Excitation Block (SE block) are used to extract features of raw current and vibration signals. Secondly, the model introduces source domain classifiers and domain discriminators to capture modal invariance between different modal data based on domain adversarial training, making use of the redundancy and complementarity between multimodal data. …”
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Transfer Learning Based on Multi-Branch Architecture Feature Extractor for Airborne LiDAR Point Cloud Semantic Segmentation with Few Samples by Jialin Yuan, Hongchao Ma, Liang Zhang, Jiwei Deng, Wenjun Luo, Ke Liu, Zhan Cai

“…The existing deep learning-based Airborne Laser Scanning (ALS) point cloud semantic segmentation methods require a large amount of labeled data for training, which is not always feasible in practice. …”
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New State Identification Method for Rotating Machinery under Variable Load Conditions Based on Hybrid Entropy Features and Joint Distribution Adaptation by Xiaoming Xue, Nan Zhang, Suqun Cao, Wei Jiang, Jianzhong Zhou, Liyan Liu

“…However, when dealing with this kind of issue, traditional fault diagnosis methods based on the assumption of the distribution coherence of the training and testing set are no longer applicable. …”
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Deep Convolutional Network Based Machine Intelligence Model for Satellite Cloud Image Classification by Kalyan Kumar Jena, Sourav Kumar Bhoi, Soumya Ranjan Nayak, Ranjit Panigrahi, Akash Kumar Bhoi

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Recursive feature elimination for summer wheat leaf area index using ensemble algorithm-based modeling: The case of central Highland of Ethiopia by Dereje Biru, Berhan Gessesse, Gebeyehu Abebe

“…This study explored the use of ensemble algorithm-based recursive feature elimination (RFE) for summer wheat LAI estimation using the Google Earth Engine (GEE) cloud computing platform. …”
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Feature-based ensemble modeling for addressing diabetes data imbalance using the SMOTE, RUS, and random forest methods: a prediction study by Younseo Jang

“…A feature-based ensemble model was constructed by training random forest classifiers on 10 two-feature subsets, selected based on feature importance, and combining their outputs using soft voting. …”
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A radiomics-based interpretable model integrating delayed-phase CT and clinical features for predicting the pathological grade of appendiceal pseudomyxoma peritonei by Dong Bai, Guanjun Shi, Yuanzi Liang, Fang Li, Zhuozhao Zheng, Zhiqun Wang

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Enhancing sound-based classification of birds and anurans with spectrogram representations and acoustic indices in neural network architectures by Fábio Felix Dias, Moacir Antonelli Ponti, Rosane Minghim

“…To leverage the best from these models, this work investigates different audio input representations, particularly spectrogram-based and acoustic indices, which are pre-processed features extracted from audio sources. …”
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A Multisource Image Matching Method Based on Contrastive Network With Similarity Weighting by Zhen Han, Ning Lv, Tao Su, Yoong Choon Chang, Chen Chen

“…In this article, we propose an image matching method based on the contrastive network with similarity statistics weighting for MRS registration. …”
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IDDNet: Infrared Object Detection Network Based on Multi-Scale Fusion Dehazing by Shizun Sun, Shuo Han, Junwei Xu, Jie Zhao, Ziyu Xu, Lingjie Li, Zhaoming Han, Bo Mo

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Attention-based BiLSTM with positional embeddings for fake review detection by Jindong Chen, Tian Zhang, Zhihua Yan, Zhichao Zheng, Wen Zhang, Jian Zhang

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Smartphone-Based SPAD Value Estimation for Jujube Leaves Using Machine Learning: A Study on RGB Feature Extraction and Hybrid Modeling by Qi Wang, Ziyan Shi, Kaiyao Hou, Ning Yan, Cuiyun Wu, Xu Li

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A novel univariate feature selection with ANOVA F-test-based machine learning model for Intrusion Detection Framework of Robotics system by Narinder Verma, Neerendra Kumar, Kuljeet Singh, Abeer Aljohani, Anurag Sinha, Syed Abid Hussain

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TSF-MDD: A Deep Learning Approach for Electroencephalography-Based Diagnosis of Major Depressive Disorder with Temporal–Spatial–Frequency Feature Fusion by Wei Gan, Ruochen Zhao, Yujie Ma, Xiaolin Ning

“…These data are then processed by a model based on 3D-CNN and CapsNet, enabling comprehensive feature extraction across domains. …”
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Effective classification for neonatal brain injury using EEG feature selection based on elastic net regression and improved crow search algorithm by Ling Li, Tao Yue, Hui Wu, Yanping Zhao, Qinmei Liu, Hairong Zhang, Wei Xu

“…However, classification methods that utilise all features from the original EEG signals may result in lengthy training and classification times, thereby reducing the performance of the classification system. …”
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Deep Learning Based Cross Domain Sentiment Classification for Urdu Language by Amna Altaf, Muhammad Waqas Anwar, Muhammad Hasan Jamal, Sana Hassan, Usama Ijaz Bajwa, Gyu Sang Choi, Imran Ashraf

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