Analysis of Progress in Data Mining of Scientific Literature Using Large Language Models by CAI Yiran, HU Zhengyin, LIU Chunjiang

“…Chart decoding uses neural networks to extract numerical values and semantic patterns from visual elements. 2) Tool dimension: This explores the core functionalities of notable AI tools, including data mining platforms (such as LitU, SciAIEngine) and knowledge generation systems (such as Agent Laboratory, VirSci), with a focus on multimodal processing and automation. 3) Application dimension: LLMs produce high-quality datasets to tackle the issue of data scarcity. …”
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Underwater Image Enhancement Based on Transformer, Attention, and Multi-Color-Space Inputs by Liqiong Lu, Dong Wu, Liuyin Wang, Wanzhen Zhang, Tonglai Liu

“…First, transformer block is embedded into ResNet-50 as the backbone network. Combining this backbone network and multi-scale feature fusion forms the fundamental framework of our method. …”
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LLM-Augmented Linear Transformer–CNN for Enhanced Stock Price Prediction by Lei Zhou, Yuqi Zhang, Jian Yu, Guiling Wang, Zhizhong Liu, Sira Yongchareon, Nancy Wang

“…The textual summaries are further transformed into vector representations using FinBERT, a pre-trained financial language model, to enhance the dataset with contextual insights. The FinBERT embeddings are integrated with features from two additional branches: the Linear Transformer branch, which captures long-term dependencies in time-series stock data through a linearized self-attention mechanism, and the CNN branch, which extracts spatial features from visual representations of stock chart data. …”
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MFSM-Net: Multimodal Feature Fusion for the Semantic Segmentation of Urban-Scale Textured 3D Meshes by Xinjie Hao, Jiahui Wang, Wei Leng, Rongting Zhang, Guangyun Zhang

“…Inspired by the binocular perception of humans, this paper proposes a multimodal feature fusion network based on 3D geometric structures and 2D high-resolution texture images for the semantic segmentation of textured 3D meshes. …”
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Multi-dimensional Element Graph Construction and Spatial Representation of Gardens in the Fuhai Area of Yuanmingyuan Based on Literary Cartography by Yuchao CAO, Nan ZHANG, Yuhang KONG

“…The “behavior – perception” characteristics of three typical identity consciousnesses — emperor's responsibility, literati’s mentality, and loiterer's posture — are extracted, and the corresponding spatial semantic network of the garden is constructed.ConclusionThe research proposes a novel methodology for the analysis of classical gardens, with a particular focus on the identification of spatial information and subjective perception data embedded within textual, visual, and physical elements. …”
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Learning efficient haptic shape exploration with a rigid tactile sensor array. by Sascha Fleer, Alexandra Moringen, Roberta L Klatzky, Helge Ritter

“…We perform a multi-module neural network training, including a feature extractor and a recurrent neural network module aiding pose control for storing and combining sequential sensory data. …”
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La figuration du cycle du Zodiaque entre Antiquité et Moyen Âge comme lieu de mémoire et de re-sémantisation by Angélique Ferrand

“…Then, we study the graphical means of a visual and ideological network and of a mediation between earth and heavens. …”
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Mechanism of Influence of Spatial Perception on Residents’ Emotion in Child-Friendly Urban Streets of Fuzhou City by Shaofeng CHEN, Zhengyan CHEN, Yuhan XU, Zheng DING

“…Areas such as Academy Road in Gulou District are optimized for visual diversity and exhibit higher emotion scores. …”
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VAD-CLVA: Integrating CLIP with LLaVA for Voice Activity Detection by Andrea Appiani, Cigdem Beyan

“…Subsequently, embeddings from these encoders are fused through a deep neural network to perform VAD. …”
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The Construction and Application of a Clinical Decision Support System for Cardiovascular Diseases: Multimodal Data-Driven Development and Validation Study by Shumei Miao, Pei Ji, Yongqian Zhu, Haoyu Meng, Mang Jing, Rongrong Sheng, Xiaoliang Zhang, Hailong Ding, Jianjun Guo, Wen Gao, Guanyu Yang, Yun Liu

“…The unstructured data were segmented using natural language processing technology, and medical entity words and entity combination relationships were extracted using IDCNN (iterated dilated convolutional neural network) and TextCNN (text convolutional neural network). …”
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Microsaccade-rhythmic modulation of neural synchronization and coding within and across cortical areas V1 and V2. by Eric Lowet, Bart Gips, Mark J Roberts, Peter De Weerd, Ole Jensen, Jan van der Eerden

“…The question arises of how eye movements shape neural synchrony within and across cortical areas and how it affects visual processing. Through local field recordings in macaque early visual cortex while monitoring eye position and through neural network simulations, we find 2 distinct synchrony regimes in early visual cortex that are embedded in a 3- to 4-Hz MS-related rhythm during visual fixation. …”
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Automated Graphic Divergent Thinking Assessment: A Multimodal Machine Learning Approach by Hezhi Zhang, Hang Dong, Ying Wang, Xinyu Zhang, Fan Yu, Bailin Ren, Jianping Xu

“…Utilizing 708 Chinese high school students’ responses from validated tests, we developed a system combining pretrained ResNet50 (image features) and GloVe (text embeddings), fused through a fully connected neural network with MSE loss and Adam optimization. …”
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AI-Based Linguistic Frameworks for Monitoring Physical Health, Sports Performance, and Educational Contexts by Rakhimov Vladimir, Saidnazarov Ulugbek, Mustafaev Ispandiyar

“…Drawing on data from network-based visualizations and structural equation models in multimodal datasets, we identify a long tail of embedded constructs and relational dependencies in which a total of 76 unique conceptual nodes operate, including predictors such as lexical calibration, contextual sentiment attribution, and semantic load dispersion. …”
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Novel Tissue Engineering Scaffolds in the Treatment of Spinal Cord Injury—A Bibliometric Study by Yan Zhao, Abudunaibi Aili, Zhiwei Jia, Tianlin Wen, Aikeremujiang Muheremu

“…The data were analyzed and visualized using the VOSviewer network analysis software. …”
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THOR2: Topological Analysis for 3D Shape and Color‐Based Human‐Inspired Object Recognition in Unseen Environments by Ekta U. Samani, Ashis G. Banerjee

“…Robot. 2024, 40, 886) while capturing object color information through slicing‐based color embeddings computed using a network of coarse color regions. …”
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3D reconstruction for unconstrained image collections using Gaussian Splatting with foundation model by Shuowen Huang, Qingwu Hu, Pengcheng Zhao, Mingyao Ai, Xujie Zhang, Wenwu Ou, Linze Li

“…Currently, the methods using a single multi-layer perceptron and convolutional neural network to predict distractors in input images often suffer from errors and is insufficient in rendering details for appearance modeling. …”
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A Lightweight Transformer Model for Defect Detection in Electroluminescence Images of Photovoltaic Cells by Yang Yang, Jing Zhang, Xin Shu, Lei Pan, Ming Zhang

“…To ensure solar panels function well, efficient and accurate defect detection of PV modules is essential. Visual-based deep learning detection methods, such as Transformer and Convolutional Neural Network (CNN) models, provide a cost-effective and adaptable solution. …”
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Effect of microstructure differences on the thermal and mechanical behaviors of porous cementitious composites using phase change materials by Md Suman Mia, Satya Medepalli, Yuya Takahashi, Koichi Tsuchiya, Tetsuya Ishida

“…The datasets extracted from the X-ray CT scans were reconstructed to quantify the spatial distribution of the pore network and analyze their effects on the thermal and mechanical behaviors, which were used to understand the governing parameters with different pore networks. …”
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A Deep Learning-Based Solution to the Class Imbalance Problem in High-Resolution Land Cover Classification by Pengdi Chen, Yong Liu, Yuanrui Ren, Baoan Zhang, Yuan Zhao

“…An adaptive awareness fusion (AAF) module is embedded within the skip connections to enhance target saliency. …”
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Potato precision planter metering system based on improved YOLOv5n-ByteTrack by Cisen Xiao, Changlin Song, Junmin Li, Min Liao, Yongfan Pu, Kun Du

“…Subsequently, re-parameterized convolution (RepConv) is incorporated into the feature extraction network architecture, enhancing the model’s inference speed by leveraging the correlation between features. …”
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