Retrieval of Passive Seismic Virtual Source Data Under Non-Ideal Illumination Conditions Based on Enhanced U-Net by Wensha Huang, Pan Zhang, Binghui Zhao, Donghao Zhang, Liguo Han

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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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Predicting the immune therapy response of advanced non-small cell lung cancer based on primary tumor and lymph node radiomics features by Dong Xie, Jinna Yu, Cong He, Han Jiang, Yonggang Qiu, Linfeng Fu, Lingting Kong, Hongwei Xu

“…Delta-radiomics features (delta-RFs) were defined as the net changes in radiomics features (RFs) between TP0 and TP1. …”
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Artificial intelligence networks for assessing the prognosis of gastrointestinal cancer to immunotherapy based on genetic mutation features: a systematic review and meta-analysis by Narges Norouzkhani, Hesam Mobaraki, Shirin Varmazyar, Hadis Zaboli, Zhina Mohamadi, Golnaz Nikeghbali, Kamyar Bagheri, Newsha Marivany, Mirmehdi Najafi, Mahdiyeh Nozad Varjovi, Mohamed Abouzeid, Hanieh Zeidi Baghrabad, Pooya Eini, Aida Azhdarimoghaddam, Farbod Khosravi, Mahsa Asadi Anar

“…This systematic review and meta-analysis aim to evaluate the effectiveness of AI-based models, which refers to systems utilizing artificial intelligence to analyze data and make predictions, in predicting immunotherapy responses in gastrointestinal cancers using genetic mutation features. …”
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Fluid volume status detection model for patients with heart failure based on machine learning methods by Haozhe Huang, Jing Guan, Chao Feng, Jinping Feng, Ying Ao, Chen Lu

“…Data from 186 heart failure patients collected between January 2022 and July 2022 were employed as an external validation set to investigate the effects of model training. SHapley Additive exPlanations (SHAP) were used to interpret the ML models Results: Thirty features were selected for model development, and the area under the ROC curve AUC (95 % CI) for the four machine learning models in the testing set was 0.75 (0.73–0.77), 0.77 (0.74–0.79), 0.70 (0.67–0.73), and 0.76 (0.73–0.78), and the AUC (95 % CI) in the external validation set was 0.74 (0.71–0.76), 0.70 (0.67–0.73), 0.64 (0.59–0.68), and 0.67 (0.63–0.71). …”
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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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Two‐stage video anomaly detection based on dual‐stream networks and multi‐instance learning by Dejun Zhang, Wenbo Fang, Yuhang Liu, Zirong Lyu, Chen Xiong, Zhan Wang

“…First, the I3D network is used as a feature extractor to capture spatiotemporal features from the input video. …”
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Fingerprint Matching for Noisy and Distorted Patterns Using a Siamese Network With ResNet50 and Multihead Attention by Tinny Sawhney, Ashu Sharma, Pawanesh Abrol, Parveen Kumar Lehana, Chaahat, Vaishali Yadav, Rafal scherer, Oleksii Kulakov, Ahmad Ali Alzubi

“…The proposed system was trained on the Sokoto coventry fingerprint dataset (SOCOFing) and a custom dataset. …”
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Cword2vec: a novel morphological rule-based word embedding approach for Urdu text sentiment analysis by Saquib Khushhal, Abdul Majid, Syed Ali Abass, Rabia Riaz, Mohammad Babar, Shafiq Ahmad

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Forest Change Monitoring Based on Block Instance Sampling and Homomorphic Hypothesis Margin Evaluation by Wei Feng, Fan Bu, Puxia Wu, Gabriel Dauphin, Yinghui Quan, Mengdao Xing

“…The first is a new sample selection method which combines block-based sampling with spatial features extracted by single or multiple windows. …”
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Machine Learning-Driven Prediction of Glass-Forming Ability in Fe-Based Bulk Metallic Glasses Using Thermophysical Features and Data Augmentation by Renato Dario Bashualdo Bobadilla, Marcello Baricco, Mauro Palumbo

“…Three datasets were constructed: one based on alloy molar fractions, one using thermophysical quantities calculated via the CALPHAD method, and another utilizing Magpie-derived features. …”
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4D trajectory lightweight prediction algorithm based on knowledge distillation technique by Weizhen Tang, Jie Dai, Zhousheng Huang, Boyang Hao, Weizheng Xie

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Advanced long-term actual evapotranspiration estimation in humid climates for 1958–2021 based on machine learning models enhanced by the RReliefF algorithm by Ahmed Elbeltagi, Salim Heddam, Okan Mert Katipoğlu, Abdullah A. Alsumaiei, Mustafa Al-Mukhtar

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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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Moanna: Multi-Omics Autoencoder-Based Neural Network Algorithm for Predicting Breast Cancer Subtypes by Richard Lupat, Rashindrie Perera, Sherene Loi, Jason Li

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Research on Vehicle Lane Change Intent Recognition Based on Transformers and Bidirectional Gated Recurrent Units by Dan Zhou, Yujie Chen, Kexing Fan, Qi Bai, Yong Luo, Guodong Xie

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Improved YOLOv8-Based Algorithm for Citrus Leaf Disease Detection by Zhengbing Zheng, Yibang Zhang, Luchao Sun

“…The proposed approach uses YOLOv8n as the base model and introduces adaptive convolution into the Backbone, allowing the model to dynamically prioritize different disease features. …”
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AMDCnet: attention-gate-based multi-scale decomposition and collaboration network for long-term time series forecasting by Shikang Hou, Song Sun, Tao Yin, Zhibin Zhang, Meng Yan

“…By extracting features from downsampled sequences and integrating multi-resolution features through attention-gated co-training mechanisms, AMDCnet enables efficient modeling of complex time series data.ResultsAMDCnet achieving 44 best results and 10 second-best results out of 64 cases. …”
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A Corpus-Based Cross-Disciplinary Study of Unattended Anaphoric Pronouns in L2 Postgraduate Theses by Emmanuel Kyei, Esther Serwaah Afreh, Osei Yaw Akoto, Wilson Awiah Jujugenia, Kofi Soadwah

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A deep biometric hash learning framework for three advanced hand‐based biometrics by Huikai Shao, Dexing Zhong, Xuefeng Du

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