Flood change detection model based on an improved U-net network and multi-head attention mechanism by Fajing Wang, Xu Feng

“…Abstract This work aims to improve the accuracy and efficiency of flood disaster monitoring, including monitoring before, during, and after the flood, to achieve accurate extraction of flood disaster change information. A modified U-Net network model, incorporating the Transformer multi-head attention mechanism (TM), is developed specifically for the characteristics of Synthetic Aperture Radar (SAR) images. …”
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MVT-Net: A novel cervical tumour segmentation using multi-view feature transfer learning. by Yao Yao, Yunzhi Chen, An Yang, Ye Ye, Lichun Wei, Shuiping Gou, Hua Yang

“…These results demonstrate that our proposed MVT-Net represents a significant advance in cervical tumour segmentation, offering improved accuracy and reliability in clinical applications.…”
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X-ArecaNet: Dataset of arecanut X-ray images for deep learning applicationsMendeley Data by Praveen M. Naik, Bhawana Rudra

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Emotion classification with multi‐modal physiological signals using multi‐attention‐based neural network by Chengsheng Zou, Zhen Deng, Bingwei He, Maosong Yan, Jie Wu, Zhaoju Zhu

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DualCascadeTSF-MobileNetV2: A Lightweight Violence Behavior Recognition Model by Yuang Chen, Yong Li, Shaohua Li, Shuhan Lv, Fang Lin

“…This paper proposes a lightweight violent behavior recognition model, DualCascadeTSF-MobileNetV2, which is improved based on the temporal shift module and its subsequent research. …”
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DEFIF-Net: A lightweight dual-encoding feature interaction fusion network for medical image segmentation. by Zhanlin Ji, Shengnan Hao, Quanming Zhao, Zidong Yu, Hongjiu Liu, Lei Li, Ivan Ganchev

“…To address these issues, a lightweight Dual-Encoding Feature Interaction Fusion network (DEFIF-Net) is proposed in this paper for medical image segmentation. …”
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Safety-netting strategies for primary and emergency care: a codesign study with patients, carers and clinicians in Sweden by Sara Riggare, Rita Fernholm, Karin Pukk Härenstam, Carolina Wannheden, Johanna Hagman

“…Data were analysed using qualitative content analysis and reported using the Consolidated criteria for Reporting Qualitative research guidelines.Setting Primary and emergency care in Sweden, focusing on the Stockholm region.Participants 7 (5 women) individuals with patient expertise, 1 (man) individual with carer expertise, 18 (12 women) individuals with clinical expertise.Results Three main categories reflecting strategies for applying safety-netting were developed: first, conveying safety-netting advice, which involves understanding patient concerns, tailoring communication and using appropriate modalities for communicating; second, ensuring common understanding, which involves summarising information, asking a teach-back question and anticipating questions post consultation; and third, supporting safety-netting behaviour, which involves facilitating reconsultation, helping patients and carers to navigate the health system and explaining the care context and its purpose.Conclusions Our study highlights the collaborative nature of safety-netting, engaging both the clinician and patient, sometimes supported by carers, in an iterative process. …”
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DiaNet: A Deep Learning Based Architecture to Diagnose Diabetes Using Retinal Images Only by Mohammad Tariqul Islam, Hamada R. H. Al-Absi, Essam A. Ruagh, Tanvir Alam

“…Comparing the performance of DiaNet against the existing clinical data-based machine learning models, we conclude that the retinal images contain sufficient information to distinguish the Qatari diabetes cohort from the control group. …”
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Enhancing student success prediction in higher education with swarm optimized enhanced efficientNet attention mechanism. by Meshari Alazmi, Nasir Ayub

“…Moreover, This study develops the proposed EffiXNet, a more refined version of EfficientNet augmented with self-attention mechanisms, dynamic convolutions, improved normalization methods, and Sparrow Search Optimization Algorithm for hyperparameter optimization. …”
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Patients’ and clinicians’ views on the appropriate use of safety-netting advice in consultations—an interview study from Sweden by Sofia Trygg Lycke

“…Background A promising approach to manage clinical uncertainty and thereby reduce the risk of preventable diagnostic harm is to use safety-netting advice (ie, communicating structured information to patients about when and where to reconsult healthcare).Aim To explore clinicians’ and patients’ views on when and how safety-netting can be successfully applied in primary-care and emergency-care settings.Design and setting An exploratory qualitative research design; we performed focus groups and interviews in a Swedish setting.Participants Nine physicians working in primary or emergency care and eight patients or caregivers participated. …”
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HDF-Net: Hierarchical Dual-Branch Feature Extraction Fusion Network for Infrared and Visible Image Fusion by Yanghang Zhu, Mingsheng Huang, Yaohua Zhu, Jingyu Jiang, Yong Zhang

“…To surmount this constraint, we introduce a novel hierarchical dual-branch fusion (HDF-Net) network. The network decomposes the source images into low-frequency components, which capture shared structural information, and high-frequency components, which preserve modality-specific details. …”
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Abnormal Sound Detection of Wind Turbine Gearboxes Based on Improved MobileFaceNet and Feature Fusion by Yuelong Liang, Haorui Liu, Yayu Chen

“…To solve problems such as the unstable detection performance of the sound anomaly detection of wind turbine gearboxes when only normal data are used for training, and the poor detection performance caused by the poor classification of samples with high similarity, this paper proposes a self-supervised wind turbine gearbox sound anomaly detection algorithm that fuses time-domain features and Mel spectrograms, improves the MobileFaceNet (MFN) model, and combines the Gaussian Mixture Model (GMM). …”
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LGR-Net: A Lightweight Defect Detection Network Aimed at Elevator Guide Rail Pressure Plates by Ruizhen Gao, Meng Chen, Yue Pan, Jiaxin Zhang, Haipeng Zhang, Ziyue Zhao

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Influence of Interleukin-8 and Neutrophil Extracellular Trap (NET) Formation in the Tumor Microenvironment: Is There a Pathogenic Role? by Manuela Gonzalez-Aparicio, Carlos Alfaro

“…Also, this mechanism occurs when neutrophils migrate to tumor cells and where the extrusion of NETs in the tumor is observed. A possible participation of NETs in cancer progression was considered; however, until now, it is difficult to decide if NETosis plays a pro- or antitumor role, although it is necessary to emphasize that there is more experimentation focused on the protumorigenic aspect of the NETs. …”
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EffNet-SVM: A Hybrid Model for Diabetic Retinopathy Classification Using Retinal Fundus Images by K. V. Naveen, B. N. Anoop, K. S. Siju, Mithun Kumar Kar, Vipin Venugopal

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3-D UXSE-Net for Seismic Channel Detection Based on Satellite Image Enhanced Synthetic Datasets by Xinke Zhang, Yihuai Lou, Naihao Liu, Daosheng Ling, Yunmin Chen

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TCBGY net for enhanced wear particle detection in ferrography using self attention and multi scale fusion by Lei He, Haijun Wei, Cunxun Sun

“…The proposed TCBGY-Net uses YOLOv5s as the backbone network, which is enhanced with several advanced modules to improve detection performance. …”
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mcGANs: Topology Optimization Using Multi-Stage CGAN by Jiandong Zhu, Ting Ding, Fuhao Cui, Zhi Wang

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Advanced Segmentation of Gastrointestinal (GI) Cancer Disease Using a Novel U-MaskNet Model by Aditya Pal, Hari Mohan Rai, Mohamed Ben Haj Frej, Abdul Razaque

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Spatio-Temporal Variation and Drivers of Land-Use Net Carbon Emissions in Chengyu Urban Agglomeration, China by Wen Wang, Xin Wang, Li Wang, Zhihua Zhang, Daren Lyu

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