Estimation Model of Corn Leaf Area Index Based on Improved CNN by Chengkai Yang, Jingkai Lei, Zhihao Liu, Shufeng Xiong, Lei Xi, Jian Wang, Hongbo Qiao, Lei Shi

“…In this study, the output structure was improved based on the ResNet architecture to adapt to regression tasks. The Triplet module was introduced to achieve feature fusion and self-attention mechanisms, thereby enhancing the accuracy of maize LAI estimation. …”
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A Novel Open Circuit Fault Diagnosis for a Modular Multilevel Converter with Modal Time-Frequency Diagram and FFT-CNN-BIGRU Attention by Ziyuan Zhai, Ning Wang, Siran Lu, Bo Zhou, Lei Guo

“…Fault diagnosis is one of the most important issues for a modular multilevel converter (MMC). However, conventional solutions are deficient in two aspects. …”
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MSUD-YOLO: A Novel Multiscale Small Object Detection Model for UAV Aerial Images by Xiaofeng Zhao, Hui Zhang, Wenwen Zhang, Junyi Ma, Chenxiao Li, Yao Ding, Zhili Zhang

“…To address the above issues, this paper designs a multiscale small object detection model for UAV aerial images, namely MSUD-YOLO, based on YOLOv10s. …”
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NGSTGAN: N-Gram Swin Transformer and Multi-Attention U-Net Discriminator for Efficient Multi-Spectral Remote Sensing Image Super-Resolution by Chao Zhan, Chunyang Wang, Bibo Lu, Wei Yang, Xian Zhang, Gaige Wang

“…The discriminator enhances attention to multi-scale key features through the addition of channel, spatial, and pixel attention (CSPA) modules, while the generator utilizes an improved shallow feature extraction (ISFE) module to extract multi-scale and multi-directional features, enhancing the capture of complex textures and details. …”
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FFTL-Net: a network for the classification of skin diseases based on feature fusion and transfer learning by Xiaowei Song, Yurong Mei, Zhilei Zhao, Hao Chang, Lina Han, Hui Wang, Xinyi Zhang, Guoqiang Wang

“…The objective is to address the issues of data imbalance, overfitting, and inadequate generalization ability in skin disease datasets and recognition models. …”
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Hybrid Integrated Feature Fusion of Handcrafted and Deep Features for Rice Blast Resistance Identification Using UAV Imagery by Peng Zhang, Zibin Zhou, Huasheng Huang, Yuanzhu Yang, Xiaochun Hu, Jiajun Zhuang, Yu Tang

“…While previous studies have attempted to combine handcrafted and deep features to address problems with data insufficiency and class imbalances, image degradation still prevents the network from learning efficient representations for disease identification. To address these issues, this article proposes a hybrid integrated feature fusion (HIFF) method, in which a novel handcrafted-design-guided convolutional neural network module was employed to alleviate the problem of image degradation. …”
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A detection algorithm for small surface floating objects based on improved YOLOv5s by Xusheng YUE, Jun LI, Yaohong WANG, Penghao ZHU, Zhexing WANG, Xuanhao XU

“…Second, to enhance detection accuracy of the deep learning model for extremely small objects, an additional detection layer was introduced beyond the original three in YOLOv5s, while the detection head for large objects was removed to avoid anchor box allocation issues caused by data imbalance. Third, the CBAM (Convolutional Block Attention Module) was incorporated into the backbone network to address the limited feature extraction capability for detecting floating bottles on the water surface. …”
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SFRADNet: Object Detection Network with Angle Fine-Tuning Under Feature Matching by Keliang Liu, Yantao Xi, Donglin Jing, Xue Zhang, Mingfei Xu

“…However, these methods solve scale and orientation issues separately and ignore their deeper coupling relationships. …”
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Research on a traffic flow statistical algorithm based on YBOVDT and SAM2 by Yuanyuan Wang, Zheng Ding, Jiange Liu, Kexiao Wu, Md Sharid Kayes Dipu, Tingmei Ma, Yonghao Ma, Haiyan Zhang

“…Existing traffic flow statistics solutions suffer from incomplete functionality and lack effective solutions for core issues. The closed-set object detection algorithms they employ can only perform detections based on fixed categories, which leads to limited recognition scope and weak model generalization ability.Moreover, the tracking algorithms used are unstable and have low computational efficiency. …”
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Influence of Overcharge Abuse on the Thermal-Electrochemical Performance of Sodium Ion Cells by Jiangyun Zhang, Ruli Zhang, Fei Duan, Mingli Niu, Guoqing Zhang, Ting Huang, Xiaoyong Wang, Yuliang Wen, Ning Xu, Xin Liu

“…Thermal safety issues of sodium-ion batteries have become a major challenge, particularly under abusive conditions where the risk of thermal runaway is heightened. …”
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Oriented SAR Ship Detection Based on Edge Deformable Convolution and Point Set Representation by Tianyue Guan, Sheng Chang, Yunkai Deng, Fengli Xue, Chunle Wang, Xiaoxue Jia

“…On this basis, a multi-directional ship detection module utilizing radial basis function (RBF) point set representation is developed. …”
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Fine-Grained Extraction of Coastal Aquaculture Ponds From Remote Sensing Images Using an Edge-Supervised Multi-task Neural Network by Jian Qi, Min Ji, Fengxiang Jin, Jianran Xu, Hanyu Ji, Juan Wang

“…Then, a selective task fusion module was developed to optimize the allocation of shared feature space, effectively alleviating the negative transfer problem of multitask architecture. …”
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Urban Functional Zone Identification Based on Multimodal Data Fusion: A Case Study of Chongqing’s Central Urban Area by Yongchuan Zhang, Yuhong Xu, Jie Gao, Zunya Zhao, Jing Sun, Fengyun Mu

“…Finally, the method deeply fuses these features through a feature fusion module, which utilizes a two-layer fully connected network for deep fusion, allowing the model to fully utilize the interdependencies among the data types, significantly improving the UFZ classification accuracy. …”
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Assessment of Routine Immunization Program at Selected Urban Health Centres in Ahmedabad, Gujarat, India by Jinalben Nogas, Karankumar Desai, Nandan Shah, Mitesh Patel, Shivam Chauhan, Bhavesh Gelot

“…Conclusion: The study highlights certain issues at UHC like maintenance of drop out chart, map of catchment area, training of medical officers on module of immunization, ice-packs arrangement in Deep Freeze, no knowledge of VCCHs about shake test, which indicates lack of efficiency of VCCHs and need of their training.…”
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Mapping Biodiversity Conservation Priorities for Protected Areas for Spatial Optimization: A Case Study in the Songnen Plain, China by Qiaoyun Sun, Jianqi Yu, Yingran Zeng, Yifang Gai, Jia Wang, Yujun Zhang

“…ABSTRACT The decline in biodiversity poses a serious threat to natural ecosystems and has become one of the most pressing global environmental issues. Establishing conservation priorities for protected areas (PAs) is one of the most direct and effective biodiversity conservation measures. …”
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Enhancing drone-based fire detection with flame-specific attention and optimized feature fusion by Qiang Wang, Shiyu Guan, Shuchang Lyu, Guangliang Cheng

“…Furthermore, the Neck of the model is optimized with a Focal Modulation module to improve feature fusion, and a variable multi-attention detection head is introduced to refine detection precision. …”
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A speech recognition method with enhanced transformer decoder by Hengbo Hu, Tong Niu, Zhenhua He

“…The enhanced decoder separates and combines the two attention mechanisms in the Transformer decoder into cross-attention layers and a self-attention language model module. The cross-attention layers are utilized to capture local features more efficiently from the encoder output, and the self-attention language model module is used to pre-train with additional domain-related text, followed by cold fusion training. …”
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Advanced stimulation and dog behavior analysis system by Stojanović Milan, Stevanović Dejan, Stošović Slavimir

“…If the hunter needs the dog to return or to stop chasing prey, they can issue an audible or vibratory command, provided the dog has been adequately trained. …”
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A Tomato Recognition and Rapid Sorting System Based on Improved YOLOv10 by Weirui Liu, Su Wang, Xingjun Gao, Hui Yang

“…In order to address the issue of time-consuming, labor-intensive traditional industrial tomato sorting, this paper proposes a high-precision tomato recognition strategy and fast automatic grasping system. …”
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Semantic Segmentation of Unmanned Driving Scene Based on Spatial Channel Dual Attention by WANGXiaoyu, LINPeng

“… An important issue in the field of unmanned driving is how to run real-time high-precision semantic segmentation models on low-power mobile electronic devices. …”
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