Jitter Error Correction for the HaiYang-3A Satellite Based on Multi-Source Attitude Fusion by Yanli Wang, Ronghao Zhang, Yizhang Xu, Xiangyu Zhang, Rongfan Dai, Shuying Jin

“…The registration accuracy of the multispectral images from the Coastal Zone Imager improved from 0.568 to 0.350 pixels. The time complexity is low with the single-layer linear traversal structure. …”
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Ship Contour: A Novel Ship Instance Segmentation Method Using Deep Snake and Attention Mechanism by Chen Chen, Songtao Hu, Feng Ma, Jie Sun, Tao Lu, Bing Wu

“…However, due to the different shapes and sizes of ships, as well as the complexity and fluctuation of lighting and weather, existing ship instance segmentation approaches frequently struggle to accomplish correct contour segmentation. …”
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Signal Detection in Intelligent Reflecting Surface-Assisted NOMA Network Using LSTM Model: A ML Approach by Haleema Sadia, Hafsa Iqbal, Syed Fawad Hussain, Nasir Saeed

“…The proposed scheme exploits a four layer deep learning (DL) model by employing a long short-term memory (LSTM) core structure. …”
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A cross-stage features fusion network for building extraction from remote sensing images by Xiaolong Zuo, Zhenfeng Shao, Jiaming Wang, Xiao Huang, Yu Wang

“…The efficiency analysis reveals that the proposed CFF-Net achieves a great balance between building extraction performance and complexity/efficiency, with faster convergence and higher robustness.…”
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A new approach of anomaly detection in shopping center surveillance videos for theft prevention based on RLCNN model by Muhammad Sajid, Ali Haider Khan, Kaleem Razzaq Malik, Javed Ali Khan, Ayed Alwadain

“…The multi-layer extended short-term memory model can precisely identify continuing unusual activity in complicated video scenarios of a busy shopping mall once we transmit the in-depth features extracted. …”
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Enhancing underwater target detection: Fusion of spatio‐temporal incompletely‐aligned AIS and sonar information via DTW and multi‐head attention mechanism by Wenbo Zhao, Xinghua Cheng, Dezhi Wang, Xiaodan Xiong, Xiaoshuang Zhang

“…Existing fusion methods normally struggle to effectively align sonar and AIS data in both time and space subject to the complexity of the problem. In this study, the Dynamic Time Warping (DTW) algorithm is applied to align sonar and AIS data in the time domain. …”
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Secret Key Generation Driven by Attention-Based Convolutional Autoencoder and Quantile Quantization for IoT Security in 5G and Beyond by Anas Alashqar, Ehsan Olyaei Torshizi, Raed Mesleh, Werner Henkel

“…Physical-layer secret key generation (PSKG) has emerged as a promising technique for enhancing wireless security in Internet of Things (IoT) networks by exploiting the reciprocity of uplink and downlink channels. …”
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Advancing Breast Cancer Detection: SE-Conformer Framework for Malignancy Detection in Histopathology Images by Lekha S. Nair, K. R. Amarnath, Jyothisha J. Nair

“…Finally, a dense output layer is used for classification. The proposed model is evaluated on both the BACH dataset and all four magnification levels of the BreakHis dataset. …”
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Exon: An Oblivious Exactly-Once Messaging Protocol With Reliable Delegation by Ziad Kassam, Paulo Sergio Almeida, Ali Shoker

“…Ensuring EO delivery ends up at the middleware layer, at the cost of higher complexity and lack of obliviouness—due to the use of permanent per-peer state. …”
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Optimization of Table Tennis Swing Action Supported by the Temporal Convolutional Network Algorithm in Deep Learning by Shaoxuan Sun, Hongyu Zheng, Zhixin Lin

“…The research effectively addresses the vanishing gradient problem by replacing the traditional Rectified Linear Unit (ReLU) activation function with Leaky ReLU, while simplifying the network structure through the use of a Global Average Pooling layer to reduce model complexity. Additionally, the residual structure is fine-tuned to adapt to dynamic environmental features, thereby enhancing the model’s capability to recognize swing actions. …”
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Sorption of molecular hydrogen on the graphene-like matrix doped by N- and B-atoms by M. T. Kartel, V. V. Lobanov, E. M. Demyanenko, Wang Bo, A. G. Grebenyuk, O. S. Karpenko

“…At the same time, for models of pure  graphene-like layer, the data obtained indicate the impossibility of chemisorption of molecular hydrogen. …”
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Influencing factors systems analysis for the cultivated land protection policies implementation in China: a hybrid DEMATEL-ISM-MICMAC model by Yanwei Zhang, Xinhai Lu

“…In conclusion, the Multi-layer hierarchical structure influencing factor model used in this paper helps to deepen the research on the implementation ability of CLPP.…”
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IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition by George Karantaidis, Athanasios Pantsios, Ioannis Kompatsiaris, Symeon Papadopoulos

“…Additionally, we explore the use of TinyViT to reduce computational complexity and propose an attention mechanism to dynamically enhance feature representation. …”
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Lightweight Small Target Detection Algorithm Based on YOLOv8 Network Improvement by Xiaoyi Hao, Ting Li

“…Finally, the Std detection layer is integrated into YOLOv8n, thereby enhancing the model’s ability to accurately detect small targets. …”
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A crop model based on dual attention mechanism for large area adaptive yield prediction by Wei Xiang, Long Long, Zichen Liu, Feng Dai, Yucheng Zhang, Hu Li, Lin Cheng

“…Next, we will integrate the features extracted from these two blocks and feed them into a multi-layer perceptron for yield prediction. We conducted experiments on soybean production and environmental data from 1045 soybean counties across 12 states in the United States from 1980 to 2018, covering 39 years. …”
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A Compact and Multi-Coupled MIMO Antenna System Applicable to Various Electronic Devices for Sub6 GHz Design by Ming-An Chung, Shang-Jui Huang, Chia-Chun Hsu, Chia-Wei Lin

“…This paper presents a multi-coupled Multiple-Input Multiple-Output (MIMO) antenna system designed for laptops, routers, and base stations, characterized by multi-band capability, compact size, low manufacturing complexity, cost efficiency, and broad applicability. …”
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User Handover Aware Hierarchical Federated Learning for Open RAN-Based Next-Generation Mobile Networks by Amardip Kumar Singh, Kim Khoa Nguyen

“…Firstly, MHORANFed simplifies the upper layer of the HFL training at edge aggregate servers, which reduces the model complexity and thereby improves the learning time and the resource usage cost. …”
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SwinD-Net: a lightweight segmentation network for laparoscopic liver segmentation by Shuiming Ouyang, Baochun He, Huoling Luo, Fucang Jia

“…To reduce computational overhead, we eliminate the skip connection in the first layer and reduce the number of channels in shallow feature maps. …”
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YOLO-HF: Early Detection of Home Fires Using YOLO by Bo Peng, Tae-Kook Kim

“…Existing studies and datasets predominantly focus on wildfire detection, with few datasets that capture the complexity of indoor environments and the subtle characteristics of early-stage fires. …”
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SDA-Mask R-CNN: An Advanced Seabed Feature Extraction Network for UUV by Yao Xiao, Dongchen Dai, Hongjian Wang, Chengfeng Li, Shaozheng Song

“…Second, a Depth-Weighted Hierarchical Fusion Network (DWHF-Net) incorporates depthwise separable convolution to minimize computational complexity while preserving model performance, which is particularly effective for high-resolution SSS image processing. …”
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