Dense dynamic convolutional network for Bel canto vocal technique assessment by Zhenyi Hou, Xu Zhao, Shanggerile Jiang, Daijun Luo, Xinyu Sheng, Kaili Geng, Kejie Ye, Jiajing Xia, Yitao Zhang, Chenxi Ban, Jiaxing Chen, Yan Zou, Yuchao Feng, Xin Yuan, Guangyu Fan

“…To accurately reflect a performer’s singing proficiency, it is essential to quantify and evaluate their vocal technical execution precisely. …”
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Unlocking transcranial FUS-EEG feature fusion for non-invasive sleep staging in next-gen clinical applications by Suneet Gupta, Praveen Gupta, Bechoo Lal, Aniruddha Deka, Hirakjyoti Sarma, Sheifali Gupta

“…The proposed framework integrates two one-dimensional convolutional neural networks (1D-CNNs) to extract sleep-relevant features from EEG and EOG signals, followed by an adaptive feature fusion module that dynamically assigns weights based on feature significance. …”
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Cross-subject affective analysis based on dynamic brain functional networks by Lifeng You, Tianyu Zhong, Erheng He, Xuejie Liu, Qinghua Zhong

“…We then extracted three network attribute features—global efficiency, local efficiency, and local clustering coefficients—to achieve emotion classification based on dynamic brain network features.ResultsThe proposed method is evaluated on the DEAP dataset through subject-dependent (trial-independent), subject-independent, and subject- and trial-independent experiments along both valence and arousal dimensions. …”
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Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods by Xiuping Xuan, Mingjin Sun, Donghui Hu, Chunli Lu

“…Receiver Operating Characteristic analysis was applied to evaluate the accuracy of the feature genes. Pearson’s correlation analysis was used to calculate the correlations between feature genes and immune cell infiltration. …”
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Artificial neural networks applied to somatosensory evoked potentials for migraine classification by Gabriele Sebastianelli, Daniele Secci, Francesco Casillo, Chiara Abagnale, Cherubino Di Lorenzo, Mariano Serrao, Shuu-Jiun Wang, Fu-Jung Hsiao, Gianluca Coppola

“…Although these insights into migraine pathophysiology have been valuable, they are not currently used in clinical practice. This study aims to evaluate the potential of Artificial Neural Networks (ANNs) in distinguishing migraine patients from healthy individuals using neurophysiological recordings. …”
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Persistent Homology Combined with Machine Learning for Social Network Activity Analysis by Zhijian Zhang, Yuqing Sun, Yayun Liu, Lin Jiang, Zhengmi Li

“…This paper first creates an ego network for each user, encodes the higher-order topological features of the ego network as persistence diagrams using persistence homology, and computes the persistence entropy. …”
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Accentuation Networks of IT Students, Managers and Journalists: an Interdisciplinary Approach in Comparative Analysis by P. P. Deryugin, S. D. Kurazhev, L. P. Sazhenkova, D. A. Lebedintsev

“…The obtained research results are presented in the form of accentuation networks, reflecting some features of the connectedness of accentuations. …”
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Single image de-raining by multi-scale Fourier Transform network. by Chaobing Zheng, Yao Yao, Wenjian Ying, Shiqian Wu

“…Finally, a multi-scale neural network incorporating attention mechanisms at different scales is applied to further refine the processed features, enhancing the robustness of the algorithm. …”
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CSANet: Context–Spatial Awareness Network for RGB-T Urban Scene Understanding by Ruixiang Li, Zhen Wang, Jianxin Guo, Chuanlei Zhang

“…To address these limitations, we propose CSANet (Context Spatial Awareness Network), a novel framework that effectively integrates RGB and thermal infrared (TIR) modalities. …”
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Traffic Classification in Software-Defined Networking Using Genetic Programming Tools by Spiridoula V. Margariti, Ioannis G. Tsoulos, Evangelia Kiousi, Eleftherios Stergiou

“…This is most evident in the feature construction method where at each generation of the genetic algorithm, a set of learning models is required to be trained to evaluate the generated artificial features.…”
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Kombinasi Feature Selection Fisher Score dan Principal Component Analysis (PCA) untuk Klasifikasi Cervix Dysplasia by Krisan Aprian Widagdo, Kusworo Adi, Rahmat Gernowo

“…Artificial Neural Network Backpropagation used to evaluate performance combination FScore PCA. …”
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Combined Keyword Spotting and Localization Network Based on Multi-Task Learning by Jungbeom Ko, Hyunchul Kim, Jungsuk Kim

“…A shared encoder is used as the initial layer to extract common features from the multichannel audio data. Subsequently, the task-specific parallel layers utilize these features for KWS and SSL. …”
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Trust Model for Underwater Wireless Sensor Networks Based on Variational Autoencoders by Jiahao ZHANG, Sizhou WEI, Na XIA

“…Therefore, researching effective malicious node detection methods is crucial for maintaining network stability and data security. This paper proposed a trust model for UWSNs based on variational autoencoders(VAEs), which evaluated node behavior credibility to identify malicious nodes. …”
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MSA: Mamba Semantic Alignment Networks for Remote Sensing Change Detection by Zhenyang Huang, Peng Duan, Genji Yuan, Jinjiang Li

“…To tackle these challenges, this article proposes Mamba semantic alignment networks (MSA) for remote sensing CD. MSA introduces the semantic offset correction block, which corrects spatial misalignment during feature aggregation by incorporating a learnable semantic offset map, thereby reducing classification errors caused by feature mismatches. …”
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An Open Conformance Test System towards the Standardization of Wireless Sensor Networks by Zhonghua Zhao, Wei Huangfu, Linmin Sun, Zhiqiang Shi, Wei Gan

“…A novel conformance test system for IPv6-based WSNs is designed and implemented, which is open, flexible, full featured, and practical. The conformance test system is suitable for the protocol evolution and the various hardware interfaces for the sensor nodes. …”
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An imaging and genetic-based deep learning network for Alzheimer's disease diagnosis by Yuhan Li, Donghao Niu, Keying Qi, Dong Liang, Dong Liang, Xiaojing Long, Xiaojing Long

“…Our model leveraged a convolutional neural network (CNN) to extract whole-brain structural features, a Transformer network to capture genetic features, and employed a cross-transformer-based network for comprehensive feature fusion. …”
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Robust Infrared–Visible Fusion Imaging with Decoupled Semantic Segmentation Network by Xuhui Zhang, Yunpeng Yin, Zhuowei Wang, Heng Wu, Lianglun Cheng, Aimin Yang, Genping Zhao

“…To address these challenges, a decoupled and semantic segmentation-driven infrared and visible image fusion network is proposed in this paper, which connects both image fusion and the downstream task to drive the network to be optimized. …”
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Parlay X Web Services for Policy and Charging Control in Multimedia Networks by Ivaylo Atanasov, Evelina Pencheva, Dora Marinska

“…The paper investigates the capabilities of Parlay X Web Services for Policy and Charging Control (PCC) in managing all Internet-protocol-based multimedia networks (IMSs). PCC is one of the core features of evolved packet networks. …”
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Methodological Foundations of Qualitative and Quantitative Analysis of IT Companies' Work in Social Networks by M. P. Batura, I. V. Marakhina, U. A. Parkhimenko

“…Along with topics, it is proposed to evaluate other characteristics of posts that allow exploring the breadth of SMM tools: post features, style, color scheme, hashtags, links. …”
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Coal Seam Roof and Floor Lithology Prediction for Underground Coal Gasification Based on Deep Residual Shrinkage Network by Jialiang Guo, Ruizhao Yang, Fengtao Han

“…This network mitigates the gradient vanishing issue common in traditional neural networks and enhances the model's focus on essential features, thereby improving its ability to capture critical information. …”
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