Marine object detection in forward-looking sonar images via semantic-spatial feature enhancement by Zhen Wang, Zhen Wang, Jianxin Guo, Shanwen Zhang, Nan Xu

“…Furthermore, we adopt the Wise-IoUv3 loss function to mitigate the issue of class imbalance within marine sonar datasets and stabilize the model training process. …”
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Collaborative Filtering Recommendation-Based Random Negative Sampling and Graph Attention by Weiqiang Li, Xianghui Li, Xiaowen Liu, Xinhuan Chen, Ming Ma

“…In the loss optimization module, a random negative sampling strategy is incorporated as an auxiliary loss to mitigate the problem of imbalanced sample classes during training. …”
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IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition by George Karantaidis, Athanasios Pantsios, Ioannis Kompatsiaris, Symeon Papadopoulos

“…The challenge of catastrophic forgetting, where models lose past knowledge when adapting to new tasks, remains a critical issue. In this paper, we introduce IncSAR, an incremental learning framework designed to tackle catastrophic forgetting in SAR target recognition. …”
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Wavelet Guided Visual State Space Model and Patch Resampling Enhanced U-Shaped Structure for Skin Lesion Segmentation by Shuwan Feng, Xiaowei Chen, Shengzhi Li

“…By employing discrete wavelet transform, this module decomposes features into low and high-frequency components. …”
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YOLO-Ssboat: Super-Small Ship Detection Network for Large-Scale Aerial and Remote Sensing Scenes by Yiliang Zeng, Xiuhong Wang, Jinlin Zou, Hongtao Wu

“…YOLO-ssboat integrates the C2f_DCNv3 module to extract fine-grained features of small vessels while mitigating background interference and preserving critical target details. …”
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Hierarchical cross-modal attention and dual audio pathways for enhanced multimodal sentiment analysis by D. Vamsidhar, Parth Desai, Aniket K. Shahade, Shruti Patil, Priyanka V. Deshmukh

“…Specifically, its main innovation is a dual audio pathway augmented with a dynamic gating module and a cross-modal self-attention layer that enables fine-grained interaction among modalities. …”
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MSLKSTNet: Multi-Scale Large Kernel Spatiotemporal Prediction Neural Network for Air Temperature Prediction by Feng Gao, Jiaen Fei, Yuankang Ye, Chang Liu

“…The spatiotemporal forecasting of temperature is a critical issue in meteorological prediction, with significant implications for fields such as agriculture and energy. …”
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Fault detection algorithm for underground conveyor belt deviation based on improved RT-DETR by AN Longhui, WANG Manli, ZHANG Changsen

“…The method requires setting specific thresholds and is easily affected by environmental factors, resulting in slow detection speed and low accuracy. To address the issue, an underground conveyor belt deviation fault detection algorithm based on an improved real-time detection transformer (RT-DETR) was proposed. …”
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Neurovision: A deep learning driven web application for brain tumour detection using weight-aware decision approach by Thota Rishik Sai Santhosh, Sachi Nandan Mohanty, Nihar Ranjan Pradhan, Tauseef Khan, Morched Derbali

“…In the weight-aware decision module, the class-bucket of a probable output class is updated with the weights of deep models when their predictions match the class. …”
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Multi-Physical Field Coupling Analysis of Electro-Controlled Permanent Magnet Blank Holder Processes Considering Thermal Magnetic Losses by Zhanshan Wang, Linyuan Meng, Gaochao Yu, Xiaoyu Ji

“…Therefore, in practical applications, it is necessary to establish a real-time temperature monitoring system and develop a temperature-based magnetic force compensation module.…”
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ISEE: Industrial Internet of Things perception in solar cell detection based on edge computing by Meiya Dong, Jumin Zhao, Deng-ao Li, Biaokai Zhu, Sihai An, Zhaobin Liu

“…Then it uses the powerful neural network processing unit module of the edge computing unit, combined with the convolutional neural network algorithm transplanted to the edge, to detect the defects of solar panels in real time. …”
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Wind Farm Meteorological Prediction Model Based on Frequency Domain Feature Extraction Fusion Mechanism by Yichen Liao, Ziqi Gao, Xufeng Li

“…Specifically, this study addresses the issue of long-term dependency in the model by incorporating the Frequency Enhanced Attention module. …”
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TDNN achitecture with efficient channel attention and improved residual blocks for accurate speaker recognition by Wenzao Li, Sai Yao, Bing Wan, Linsong Xiao, Chengyu Hou, Yanchuan Zhong, Wengang Zhou

“…After multi-scale feature extraction, the Selective State Space (SSS) module is introduced to improve the model’s ability to capture temporal sequence features. …”
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Screening differentially expressed genes between endometriosis and ovarian cancer to find new biomarkers for endometriosis by Zhenzhen Lu, Ying Gao

“…Due to its high recurrence rate, searching for potential therapeutic biomarkers involved in the pathogenesis of endometriosis is an urgent issue.Methods Due to the similarities between endometriosis and ovarian cancer, four endometriosis datasets and one ovarian cancer dataset were downloaded from Gene Expression Omnibus (GEO) database. …”
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A Remote Sensing Semantic Self-Supervised Segmentation Model Integrating Local Sensitivity and Global Invariance by Buxun Zhang, Xiaoyan Guo, Sen Yang

“…Self-supervised semantic segmentation is a crucial approach for addressing the issue of insufficient labeled data. However, traditional self-supervised learning methods designed for natural images are often unsuitable for remote sensing images, as they struggle to capture both local and global information simultaneously. …”
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Regulatory mechanism analysis of signal transduction genes during rapeseed (Brassica napus L.) germination under aluminum stress using WGCNA combination with QTL by Chenyang Li, Ruili Wang, Jiana Li, Qingyuan Zhou, Cui Cui

“…As soil becomes more acidic, aluminum toxicity has emerged as a key issue impacting seed germination and crop productivity in such environments. …”
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Design research on a smart infusion device to reduce medical workload and enhance patient safety by Bo Mu, Yilun Wang, Xunchen Liu, Mohammad Puad Bebit, Mingzhang Chen, Hailin Wu, Wei Zhang, Lanxin Wang, Yuan Fang, Kang Dong

“…Abstract In traditional infusion processes, issues such as untimely medication replacement and patients’ difficulty in continuously monitoring their medication levels are prevalent. …”
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A Comprehensive Analysis of Security Challenges in ZigBee 3.0 Networks by Akbar Ghobakhlou, Duaa Zuhair Al-Hamid, Sara Zandi, James Cato

“…This research addresses the gap by conducting a comprehensive, hardware-based analysis of ZigBee 3.0 networks using XBee 3 radio modules and ZigBee-compatible devices. We investigate the following three core security issues: (a) the security of symmetric keys, focusing on vulnerabilities that could allow attackers to obtain these keys; (b) the impact of compromised symmetric keys on network confidentiality; and (c) susceptibility to Denial-of-Service (DoS) attacks due to insufficient protection mechanisms. …”
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Spirituality and religion in residents and inter-relationships with clinical practice and residency training: a scoping review by Qian Hui Chew, Kang Sim, Hsin Han Elisha Chow

“…Objectives With the increased emphasis on personalised, patient-centred care, there is now greater acceptance and expectation for the physician to address issues related to spirituality and religion (SR) during clinical consultations with patients. …”
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Analyse de pratiques interdisciplinaires dans l’enseignement supérieur by Valérie Camel, Agnès Fargue-Lelièvre

“…This study is a report covering several years on three teaching modules with different degrees of interdisciplinarity for engineering students. …”
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