Multi-Feature Fusion Method Based on Adaptive Dilation Convolution for Small-Object Detection by Lin Cao, Jin Wu, Zongmin Zhao, Chong Fu, Dongfeng Wang

“…During the feature fusion stage, we employ adaptive dilated convolution, which dynamically adjusts the dilation rate spatially based on frequency components. …”
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Emoji-Driven Sentiment Analysis for Social Bot Detection with Relational Graph Convolutional Networks by Kaqian Zeng, Zhao Li, Xiujuan Wang

“…Finally, a Relational Graph Convolutional Network (RGCN) is employed to model heterogeneous social topology for robust bot detection. …”
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AdaptiveConv2d: A Novel Convolutional Module for Medical Image Segmentation by Donghua Liu, Zuofeng Zhou

“…The AdaptiveConv2d module integrates adaptive feature extraction, an optimized receptive field, enhanced sensitivity to details and boundaries, and an innovative feature fusion mechanism to significantly improve segmentation accuracy and robustness. By dynamically adjusting the convolution operations, the module adapts flexibly to medical images with varying shapes and boundaries, leading to more precise feature extraction. …”
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SASTGCN: Semantic-Augmented Spatio-temporal graph convolutional network for subway flow prediction by Shiyuan Jin, Changfeng Jing, Sheng Yao, Yushan Zhang, Pu Zhao, Jinlong Zhang

“…The spatiotemporal block including Topology Adaptive Graph Convolutional Network (TAGCN) and ConvNeXt, constructed adaptive spatial topology, depthwise separable convolution and expanded receptive fields to capture spatiotemporal correlations and spatial heterogeneity. …”
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Edge Convolution Graph Neural Network Assisted Power Allocation for Wireless IoT Networks by Jihyung Kim, Yeji Cho, Junghyun Kim

“…We propose a novel power control technique called PC-ECGNN, which uses edge convolution to optimize power allocation in wireless IoT networks. …”
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Small Object Detection Algorithm Based on Partial Convolution and Attention Fusion Detection Head by Peng Sheng, Zhu Fenghua, Zhou Jin, Zhu Gaofeng, Wang Yingxu, Chen Yuehui

“…To improve spatial feature extraction and control network computing time, a more efficient FasterNet backbone network is introduced along with partial convolution (PConv) to reduce memory access and redundant calculations during deep convolution. …”
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Residual-enhanced graph convolutional networks with hypersphere mapping for anomaly detection in attributed networks by Wasim Khan, Afsaruddin Mohd, Mohammad Suaib, Mohammad Ishrat, Anwar Ahamed Shaikh, Syed Mohd Faisal

“…The heart of our model lies in the integration of graph convolutional networks that capture complex structural relationships within the network data. …”
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Accurate Arrhythmia Classification with Multi-Branch, Multi-Head Attention Temporal Convolutional Networks by Suzhao Bi, Rongjian Lu, Qiang Xu, Peiwen Zhang

“…Additionally, the temporal convolutional network employs multi-layer dilated convolutions to progressively expand the receptive field for extracting long-term dependencies. …”
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Real-Time Transformer Detection of Underwater Objects Based on Lightweight Gated Convolutional Network by Yuhui LI, Huixia CUI, Yaomin LI, Senping JIA

“…To address the challenges in underwater object detection algorithms, including difficult image feature processing, redundant model architectures, and excessive parameter numbers, this paper proposed a real-time Transformer detection method for underwater objects based on a lightweight gated convolutional network. This method first constructed a convolutional gated linear unit based on the gating mechanism to dynamically modulate feature transmission. …”
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Optimization of deep learning architecture based on multi-path convolutional neural network algorithm by Chuan Zhou, Yan Liu, Xinghan An, Xiyao Xu, Hao Wang

“…Abstract Current multi-stream convolutional neural network (MSCNN) exhibits notable limitations in path cooperation, feature fusion, and resource utilization when handling complex tasks. …”
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Complex-Scene SAR Aircraft Recognition Combining Attention Mechanism and Inner Convolution Operator by Wansi Liu, Huan Wang, Jiapeng Duan, Lixiang Cao, Teng Feng, Xiaomin Tian

“…Involution helps the model adaptively adjust the weights of spatial positions through dynamic parameterized convolution kernels, strengthening the discrete strong scattering points specific to aircraft and suppressing the continuous scattering of the background, thereby alleviating the interference of complex backgrounds. …”
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ACSAformer: A crime forecasting model based on sparse attention and adaptive graph convolution by Zhenkai Qin, Baozhong Wei, Baozhong Wei, Caifeng Gao, Caifeng Gao, Feng Zhu, Feng Zhu, Weiqi Qin, Weiqi Qin, Qian Zhang

“…The incorporation of adaptive graph convolution significantly enhances the model’s ability to represent multivariate spatiotemporal sequences, enabling it to capture complex inter-feature relationships and dynamic correlations, thereby improving generalization and predictive accuracy. …”
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YOLO-Dynamic: A Detection Algorithm for Spaceborne Dynamic Objects by Haiying Zhang, Zhengyang Li, Chunyan Wang

“…Ground-based detection of spaceborne dynamic objects, such as near-Earth asteroids and space debris, is essential for ensuring the safety of space operations. …”
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Photonic Chip Based on Ultrafast Laser-Induced Reversible Phase Change for Convolutional Neural Network by Jiawang Xie, Jianfeng Yan, Haoze Han, Yuzhi Zhao, Ma Luo, Jiaqun Li, Heng Guo, Ming Qiao

“…The transient laser-induced phase change dynamics of Sb film are revealed at atomic scale, and the phase change time is measured.…”
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Indoor Air Pollution Source Localization Based on Small-Sample Training Convolutional Neural Networks by Tiancheng Ye, Mengtao Han

“…This study uses a convolutional neural network to establish a pollution source inversion method based on small samples. …”
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Multi-station water level forecasting using advanced graph convolutional networks with adversarial learning by Xinhai Han, Xiaohui Li, Jingsong Yang, Jiuke Wang, Guoqi Han, Jun Ding, Hui Shen, Jun Yan, Dake Chen

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Enhancing convolutional neural networks in electroencephalogram driver drowsiness detection using human inspired optimizers by Anupam Yadav, Rifat Hussain, Madhu Shukla, Jayaprakash B, Rishiv Kalia, S. Prince Mary, Chou-Yi Hsu, Manoj Kumar Mishra, Kashif Saleem, Mohammed El-Meligy

“…This study investigates the use of two human-inspired algorithms—teaching learning-based optimization (TLBO) and student psychology-based optimization (SPBO)—to optimize convolutional neural networks (CNNs) for EEG-based drowsiness detection. …”
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Convolutional neural networks-based red blood cell detection and tracking with automatic data generation by Kohei TOYAMA, Tomoki MIZUNO, Takuto ARAKI, Toru HYAKUTAKE

“…This may lead to a more detailed understanding of microcirculatory dynamics and related physiological processes.…”
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Application of a Convolutional Neural Network in a Terrain-Based Tire Pressure Management System by Carl Luis C. Ledesma, Charlothe John I. Tablizo, Emmanuel A. Salcedo, Marites B. Tabanao, Emmy Grace T. Requillo, John Paul T. Cruz

“…Improper car tire pressure affects dynamics, fuel economy, and driver safety. Current central tire inflation systems (CTISs) regulate tire pressure relative to its reference value. …”
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Hybrid Transformer–Convolutional Neural Network Approach for Non-Intrusive Load Analysis in Industrial Processes by Gengsheng He, Yu Huang, Ying Zhang, Yuanzhe Zhu, Yuan Leng, Nan Shang, Jincan Zeng, Zengxin Pu

“…However, existing NILM methods primarily tailored for residential applications struggle to capture complex inter-device correlations and production-dependent load dynamics prevalent in industrial environments, such as cement plants. …”
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