Residual capsule network with threshold convolution and attention mechanism for forest fire detection using UAV imagery by Soufiane Ben Othman, Obaid Ali

“…This paper introduces ResCaps-TC-Attn-Fire, a novel deep learning framework tailored for UAV-based forest fire detection, combining Residual-Capsule Networks, Threshold Convolution, and Attention Mechanisms. 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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LS-MambaNet: Integrating Large Strip Convolution and Mamba Network for Remote Sensing Object Detection by Lingyu Yan, Zijian He, Zhiqi Zhang, Guangqi Xie

“…In addition, a Multi-Granularity Spatial Mamba Block is proposed, and this employs a multi-granularity scanning strategy to reduce the computational cost and feature redundancy on different scanning paths and is able to efficiently model the global contextual information of the target. …”
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Ship crack detection method based on lightweight fast convolution and bidirectional weighted feature fusion network by Chong WANG, Yuhui ZHU

“…ObjectiveAs traditional ship crack detection methods based on artificial visual inspection and ultrasonic methods in ship repair and inspection processes have the characteristics of low efficiency, high cost and high danger, a ship crack detection method based on deep learning is proposed. …”
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Convolutional Versus Large Language Models for Software Log Classification in Edge-Deployable Cellular Network Testing by Achintha Ihalage, Sayed Taheri, Faris Muhammad, Hamed Al-Raweshidy

“…These include a constrained context window, limited applicability to text beyond natural language, and high inference costs. To address these limitations, we propose a compact convolutional neural network (CNN) architecture that offers a context window spanning up to 200,000 characters and achieves over 96% accuracy (F<inline-formula> <tex-math notation="LaTeX">$1\gt 0.9$ </tex-math></inline-formula>) in classifying multifaceted software logs into various layers in the telecommunications protocol stack. …”
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p-im2col: Simple Yet Efficient Convolution Algorithm With Flexibly Controlled Memory Overhead by Anton V. Trusov, Elena E. Limonova, Dmitry P. Nikolaev, Vladimir V. Arlazarov

“…However, commonly used GeMM-based algorithms may cause significant memory overhead or avoid it only at the cost of worse performance. In this paper, we propose a novel convolution algorithm, p-im2col, based on a well-known im2col algorithm that avoids memory overhead by splitting a single multiplication of a large matrix into several multiplications of smaller matrices. …”
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Recognition of Knee Osteoarthritis by 1D and 2D Convolutional Neural Networks Using Vibroarthrographic Signals by Jia-Jung Wang, Alok Kumar Sharma, Shing-Hong Liu, Wenxi Chen, Cheng-Yo Yen

“…This work offers a low-cost, non-invasive, and effective method for knee OA diagnosis, potentially enhancing clinical assessments of joint disorders for outpatients.…”
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Classification of Short-Segment Pediatric Heart Sounds Based on a Transformer-Based Convolutional Neural Network by Md Hassanuzzaman, Samit Kumar Ghosh, Mohammad Nurul Akhtar Hasan, Mohammad Abdullah Al Mamun, Khawza I. Ahmed, Raqibul Mostafa, Ahsan H. Khandoker

“…Phonocardiograms (PCGs), as a non-invasive and cost-effective diagnostic modality, capture vital acoustic signals that reflect the mechanical activity of the heart and can reveal pathological patterns associated with various CHD types. …”
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RF-AIRCGR: Lightweight Convolutional Neural Network-Based RFID Chinese Character Gesture Recognition Research by Yajun Zhang, Congcong Wang, Feng Li, Weiqian Yu, Yuankang Wang, Jingying Chen

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MEAC: A Multi-Scale Edge-Aware Convolution Module for Robust Infrared Small-Target Detection by Jinlong Hu, Tian Zhang, Ming Zhao

“…To overcome these limitations, we propose a Multi-Scale Edge-Aware Convolution (MEAC) module that enhances feature representation for small infrared targets without increasing parameter count or computational cost. …”
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High-Resolution Geochemical Data Mapping With Swin Transformer-Convolution-Based Multisource Geoscience Data Fusion by Ye Yuan, Shuguang Zhou, Jianhua Bian, Jinlin Wang, Wei Han, Jining Yan

“…However, the high economic cost of geochemical data analysis hinders large-scale studies, leading to low spatial resolution, especially in remote areas. …”
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Use of a convolutional neural network for direct detection of acid-fast bacilli from clinical specimens by Paul English, Muir J. Morrison, Blaine Mathison, Elizabeth Enrico, Ryan Shean, Brendan O'Fallon, Deven Rupp, Katie Knight, Alexandra Rangel, Jeffrey Gilivary, Amanda Vance, Haleina Hatch, Leo Lin, David P. Ng, Salika M. Shakir

“…Manual smear microscopy is a cost-effective tool for diagnosing and monitoring of these organisms; however, it is labor-intensive and requires highly-trained personnel. …”
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Guarded Diagnosis: Preserving Privacy in Cervical Cancer Detection with Convolutional Neural Networks on Pap Smear Images by Sanmugasundaram Ravichandran, Hui-Kai Su, Wen-Kai Kuo, Manikandan Mahalingam, Kanimozhi Janarthanan, Kabilan Saravanan, Bruhathi Sathyanarayanan

“…The manual examination of these images is slow, error-prone, and costly. Therefore, we propose a new method focusing on the Pap smear exam for early cervical cancer detection. …”
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MVHGCN: Predicting circRNA-disease associations with multi-view heterogeneous graph convolutional neural networks. by Yan Miao, Xuan Tang, Chunyu Wang, Zhenyuan Sun, Guohua Wang, Shan Huang

“…However, traditional experimental methods are often inefficient and costly, making computational models an effective alternative. …”
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Algorithm development for recognizing human emotions using a convolutional neural network based on audio data by V. V. Semenuk, M. V. Skladchikov

“…The proposed algorithm has a high accuracy of operation and does not require large computational costs.…”
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Design of FPGA-Based Accelerator for Convolutional Neural Network under Heterogeneous Computing Framework with OpenCL by Li Luo, Yakun Wu, Fei Qiao, Yi Yang, Qi Wei, Xiaobo Zhou, Yongkai Fan, Shuzheng Xu, Xinjun Liu, Huazhong Yang

“…CPU has insufficient resources to satisfy the efficient computation of the convolution neural network (CNN), especially for embedded applications. …”
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Multi-Signal Induction Motor Broken Rotor Bar Detection Based on Merged Convolutional Neural Network by Tianyi Wang, Shiguang Wen, Shaotong Sheng, Huimin Ma

“…The method preprocesses motor currents by Hilbert-Huang Transform (HHT) and Park’s Vector Modulus (PVM) and then uses a merged convolutional neural network (CNN) for classification. …”
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Improved Deep Convolutional Generative Adversarial Network for Data Augmentation of Gas Polyethylene Pipeline Defect Images by Zihan Zhang, Yang Wang, Nan Lin, Shengtao Ren

“…For this reason, an improved Deep Convolutional Generative Adversarial Network (DCGAN) is proposed. …”
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Automated Wall Moisture Detection in Heritage Sites Based on Convolutional Neural Network (CNN) for Infrared Imagery by Yu-Chieh Chu, Ya-Yun Huang, Chen-Yu Ye, Shih-Lun Chen

“…However, its reliance on manual interpretation by experts makes the process both time-consuming and costly. This study addresses the challenge of detecting wall moisture; this issue is closely linked to the deterioration of cultural heritage structures. …”
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An immunohistochemistry-based classification of colorectal cancer resembling the consensus molecular subtypes using convolutional neural networks by Tuomas Kaprio, Jaana Hagström, Jussi Kasurinen, Ioannis Gkekas, Sofia Edin, Ines Beilmann-Lehtonen, Karin Strigård, Richard Palmqvist, Ulf Gunnarson, Camilla Böckelman, Caj Haglund

“…Due to the complexity and costs associated with transcriptomics, we developed an immunohistochemistry (IHC)-based method supported by convolutional neural networks (CNNs) to define subgroups that resemble CMS biological characteristics. …”
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YOLOv9-AAG: Distinguishing Birds and Drones in Infrared and Visible Light Scenarios by Peichun Suo, Jincan Zhu, Qingyang Zhou, Weili Kou, Xiuyan Wang, Wen Suo

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