«MEMORY WARS» IN VIRTUAL SPACE: THE REGIONAL HISTORY OF XIX CENTURY IN THE NETWORK DISCOURSE OF ADYGHE AND ABKHAZ BLOGGERS by N. A. Trapsh

“…The article discusses the narrative construction of Abkhazian and Adyghe bloggers devoted to topical problems of Western Caucasus history in XIX century and formed within the virtual space of dialogue in the network. The article highlights the inherent features of blogging narratives, as well as evaluates the scientific importance of interactive texts created by nonprofessional users. …”
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Development of Integrated Neural Network Model for Identification of Fake Reviews in E-Commerce Using Multidomain Datasets by Saleh Nagi Alsubari, Sachin N. Deshmukh, Mosleh Hmoud Al-Adhaileh, Fawaz Waselalla Alsaade, Theyazn H. H. Aldhyani

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Implementing and evaluating the quality 4.0 PMQ framework for process monitoring in automotive manufacturing by Fathy Alkhatib, Mohamed Allam, Vikas Swarnakar, Juman Alsadi, Maher Maalouf

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Multi‑feature geological hazard susceptibility assessment by integrating improved ResNet and transfer learning: A case study of the Loess Plateau in Northern Shaanxi by Hao Cheng, Chong Xu, Rong Guo, Hai-kun Jing, Zeng-lin Hong, Feng-chen Fu, Ruo-shu Li

“…A lightweight deep network framework was then developed by simplifying the ResNet-18 backbone and embedding a Self-Attention mechanism and a convolutional block attention module. …”
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Distributed Photovoltaic Distribution Voltage Prediction Based on eXtreme Gradient Boosting and Time Convolutional Networks by Fang Yuan, Yong Lu, Zhi Xie, Shenxiang Dai

“…To address this, the study proposes a distributed photovoltaic distribution voltage prediction model based on gradient boosting tree and time convolutional network. The model uses eXtreme gradient boosting for feature selection and time convolutional network and two-layer prediction strategy for voltage prediction. …”
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A Category–Pose Jointly Guided ISAR Image Key Part Recognition Network for Space Targets by Qi Yang, Hongqiang Wang, Lei Fan, Shuangxun Li

“…Hence, we make the first attempt to propose a key part recognition network based on ISAR images, which incorporates the knowledge of space target categories and poses. …”
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FCN attention enhancing asphalt pavement crack detection through attention mechanisms and fully convolutional networks by Huiyuan Zhang, Jiawei Liu, Guoping Hu

“…Abstract This paper presents an innovative approach to detecting cracks in asphalt pavement using an FCN-attention model, which integrates attention mechanisms into a fully convolutional network (FCN) for enhanced pixel-level segmentation. …”
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Combining Generative Adversarial Networks (GANs) With Gaussian Noise for Anomaly Detection in Internet of Things (IoT) Traffic by Roya Morshedi, S. Mojtaba Matinkhah

“…To evaluate the model's performance, the CICIDS2017 dataset, which includes various attack types and normal network traffic, was used. …”
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Improving the Performance of Heart Disease Diagnosis by Combining the Cochleogram Transformation and Variable Auto-Encoder (VAE) Network by Mahbubeh Bahrayni, Ramin Barati, Abbas Kamali

“…In this article, after segmenting the heart sound signal, the two-dimensional representation of the signal is obtained by cochleogram transformation, then with the help of deep learning and variable autoencoder network, 4 final features are extracted from each signal. …”
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Probabilistic Forecasting of Crude Oil Prices Using Conditional Generative Adversarial Network Model with Lévy Process by Mohammed Alruqimi, Luca Di Persio

“…Recent research highlights Generative Adversarial Networks (GANs) as a promising alternative approach for capturing intricate patterns in time series data, leveraging the adversarial learning framework. …”
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A differential auxiliary semantic interactive network for high-resolution remote sensing image change detection by Yujuan Zhao, Yunliang Hu, Xianwei Han, Lei Zhang, Wei Gao

“…The proposed module utilizes a Siamese network for local feature extraction and incorporates a three-dimensional guided feature enhancement module alongside the Swin transformer to gather both global and differential information. …”
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Fishing operation type recognition based on multi-branch convolutional neural network using trajectory data by Bohui Jiang, Weifeng Zhou

“…Comparative experiments evaluate Geohash encoding lengths and network architectures (single-branch vs. multi-branch, fully-connected vs. 1D-CNN). …”
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Generative adversarial network–enabled microstructural mapping from surface profiles for laser powder bed fusion by Jingwen Gao, Chenyang Zhu, Shubo Gao, Weiming Ji, Ming Xue, Kun Zhou

“…This study introduces an image-to-image translation Cycle-consistent Generative Adversarial Network (CycleGAN)-based framework for generating statistically equivalent microstructures of LPBF-fabricated samples directly from corresponding as-printed surface inputs. …”
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AJANet: SAR Ship Detection Network Based on Adaptive Channel Attention and Large Separable Kernel Adaptation by Yishuang Chen, Jie Chen, Long Sun, Bocai Wu, Hui Xu

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MCFNet: Multi-Scale Contextual Fusion Network for Salient Object Detection in Optical Remote Sensing Images by Jinting Ding, Yueqian Quan, Honghui Xu

“…In response to these challenges, we introduce the Multi-scale Contextual Fusion Network (MCFNet) for ORSI-SOD. MCFNet incorporates a Semantic-Aware Attention Module (SAM), which provides explicit semantic guidance during feature extraction. …”
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Residual capsule network with threshold convolution and attention mechanism for forest fire detection using UAV imagery by Soufiane Ben Othman, Obaid Ali

“…Residual-Capsule Networks enhance the capture of spatial hierarchies and inter-feature relationships, improving robustness to diverse fire characteristics, while Threshold Convolution filters irrelevant features to boost generalization and efficiency. …”
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iPro-CSAF: identification of promoters based on convolutional spiking neural networks and spiking attention mechanism by Qian Zhou, Jie Meng, Hao Luo

“…Our results show that iPro-CSAF outperforms promoter recognition methods which used parallel CNN layers, methods which combined CNNs with capsule networks, attention mechanism, LSTM or BiLSTM, and CNNs-based methods which needed priori biological or text feature extraction, while our method has much fewer network parameters. …”
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Dynamic evolution and network structure characteristics of the wellbeing eco-efficiency of cities in the Yellow River Basin, China by Meixia Wang, Qingyun Zheng, Li Liu

“…Based on the panel data of 99 cities in the YRB from 2010 to 2022, the WEE is measured by introducing the ecological wellbeing into the evaluation system of eco-efficiency. The spatial-temporal dynamics, disparities, and their origins, as well as the structural attributes of the network, are investigated. …”
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Development of a UR5 Cobot Vision System with MLP Neural Network for Object Classification and Sorting by Szymon Kluziak, Piotr Kohut

“…Conducted performance evaluations encompassed accuracy metrics for used identification methods (MLP classifier, contour similarity, and feature descriptor matching) and the effectiveness of the vision system in controlling the cobot for sorting tasks. …”
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Research on the Automatic Multi-Label Classification of Flight Instructor Comments Based on Transformer and Graph Neural Networks by Zejian Liang, Yunxiang Zhao, Mengyuan Wang, Hong Huang, Haiwen Xu

“…To address this challenge, this study presents a novel multi-label classification model that seamlessly integrates RoBERTa, a robust language model, with Graph Convolutional Networks (GCNs). By simultaneously modeling text features and label interdependencies, this model enables the automated, multi-dimensional classification of instructor evaluations. …”
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