A framework for continual learning in real-time traffic forecasting utilizing spatial–temporal graph convolutional recurrent networks by Mariam Labib Francies, Abeer Twakol Khalil, Hanan M. Amer, Mohamed Maher Ata

“…The rapid increase in traffic data, along with the inherently dynamic characteristics of urban traffic, poses considerable challenges for traditional Machine Learning (ML) models, which often find it difficult to efficiently handle large-scale datasets. …”
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A Novel Convolutional Neural Network–Long Short-term Memory Model for Interplanetary Coronal Mass Ejection Detection by Junpei Li, Hong Chen, Jingjing Wang, Yanhong Chen, Bingxian Luo, Hao Deng

“…This study presents a convolutional neural network–long short-term memory (CNN-LSTM) model with dynamic loss function, designed to efficiently process complex multidimensional spatiotemporal data. …”
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Classification of power quality disturbances in microgrids using a multi-level global convolutional neural network and SDTransformer approach. by Junzhuo Jiang, Hao Wu, Changhua Zhong, Hong Song

“…The model processes the input raw 1D time-series signals of power quality through multi-level convolutional and 1D-Global Attention Mechanism (1D-GAM) operations in MGCNN, which preliminarily extracts and emphasizes the key features and dynamic changes; Subsequently, the model utilizes the Multi-head Self Attention(MSA) and Multi-Layer Perceptron(MLP) components of the enhanced SDTransformer to further explore the transient local and periodic global features of the signals; The classification outcomes are then determined using a fully-connected layer and a Softmax classifier. …”
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MG6D: A Deep Fusion Approach for 6D Pose Estimation With Mamba and Graph Convolution Network by Jiaqi Zhu, Bin Li, Xinhua Zhao

“…The algorithm first introduces a panoramic attention fusion Mamba module, leveraging state-space modeling to capture long-range dependencies in multi-modal data while establishing cross-dimensional interactions between channel and spatial features to emphasize critical information. A dynamic graph convolutional adaptive fusion module is then designed to enable cross-modal geometric consistency modeling via multi-modal feature integration. …”
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Migrative armadillo optimization enabled a one-dimensional quantum convolutional neural network for supply chain demand forecasting. by Mohamed Irhuma, Ahmad Alzubi, Tolga Öz, Kolawole Iyiola

“…Thus, this research proposes a Migrative Armadillo Optimization-enabled one-dimensional Quantum convolutional neural network (MiA + 1D-QNN) for effective demand forecasting. …”
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Fusion of Multimodal Spatio-Temporal Features and 3D Deformable Convolution Based on Sign Language Recognition in Sensor Networks by Qian Zhou, Hui Li, Weizhi Meng, Hua Dai, Tianyu Zhou, Guineng Zheng

“…In this paper, we firstly propose a Multi-Stream Spatio-Temporal Graph Convolutional Network (MSGCN) that relies on three modules: a decoupling graph convolutional network, a self-emphasizing temporal convolutional network, and a spatio-temporal joint attention module. …”
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Elephant Flows Detection Using Deep Neural Network, Convolutional Neural Network, Long Short-Term Memory, and Autoencoder by Getahun Wassie Geremew, Jianguo Ding

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River Channel Microgeomorphic Feature Extraction and Potential Sandstorm Source Identification Method Based on a Convolutional Autoencoder Model by Kecong Wu, Lirong Chen, Yalige Bai, Xinhang Wang, Danzeng Pingcuo, Zhongpeng Han, Chengshan Wang

“…These latent objects require the analysis of their internal structures using unsupervised methods. Convolutional kernels in convolutional neural networks capture local spatial structures, and their size is essential for accurately analyzing internal structures. …”
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Assessment of the long RR intervals using convolutional neural networks in single-lead long-term Holter electrocardiogram recordings by Tan Lyu, Miao Ye, Minjie Yuan, Haina Chen, Sijie Han, Lifang Yu, Chen Li

“…This study aims to comprehensively evaluate these algorithms based on convolutional neural networks (CNN). We collected 480 single-lead long-term dynamic ECG records from our hospital, all from patients with prolonged RRI. …”
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Precise identification of medulloblastoma in MRI images using a convolutional neural network integrated with a self-attention mechanism by Chenhao Fang, Chao Li, Huiqing Liu, Qiang Zhou, Shuo Li, Hong Chen, Xianzhen Chen, Zhaoli Shen

“…Other single convolutional neural network models, including MobileNet, Residual Network, Densely Connected Convolutional Network, Visual Geometry Group, and Inception, were also trained. …”
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DAC-GCN: A Dual Actor-Critic Graph Convolutional Network with Multi-Hop Aggregation for Enhanced Recommender Systems by Gholamreza Zare, Nima Jafari, Mehdi Hosseinzadeh, Amir Sahafi

“…Background: Recommender Systems (RSs) frequently face challenges in balancing exploration and exploitation, particularly in dynamic environments where user behaviors evolve over time. …”
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Taking a look at your speech: identifying diagnostic status and negative symptoms of psychosis using convolutional neural networks by Gleb Melshin, Anthony DiMaggio, Nadia Zeramdini, Michael MacKinley, Lena Palaniyappan, Alban Voppel

“…Static acoustic features show potential but often overlook time-varying acoustic cues that clinicians naturally evaluate—such as negative symptoms—during clinical interviews. A similar dynamic, unfiltered approach can be applied using speech spectrograms, preserving acoustic-temporal nuances. …”
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PDCG-Enhanced CNN for Pattern Recognition in Time Series Data by Feng Xie, Ming Xie, Cheng Wang, Dongwei Li, Xuan Zhang

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Tunnel Crack Segmentation Algorithm Based on Feature Enhancement by Lihua Feng, Aijun Yao, An Huang

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A Lightweight Pavement Defect Detection Algorithm Integrating Perception Enhancement and Feature Optimization by Xiang Zhang, Xiaopeng Wang, Zhuorang Yang

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Accurate recognition of UAVs on multi-scenario perception with YOLOv9-CAG by Jincan Zhu, Jian Rong, Weili Kou, Qingyang Zhou, Peichun Suo

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YOLOv8-GO: A Lightweight Model for Prompt Detection of Foliar Maize Diseases by Tianyue Jiang, Xu Du, Ning Zhang, Xiuhan Sun, Xiao Li, Siqing Tian, Qiuyan Liang

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Forest Fire Detection Based on Enhanced Feature Information Capture and Long-Range Dependency by Wangke Lin, Jun Gao, Jingde Huang

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Ocean Internal Wave Detection in SAR Images Based on Improved YOLOv7 by Limei Cai, Guozhen Zha, Mingsen Lin, Xiao Wang, Honghua Zhang

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MRP-YOLO: An Improved YOLOv8 Algorithm for Steel Surface Defects by Shuxian Zhu, Yajie Zhou

Subjects: “…dynamic convolution…”
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