The TDGL Module: A Fast Multi-Scale Vision Sensor Based on a Transformation Dilated Grouped Layer by Leilei Xie, Fenghua Zhu, Zhixue Wang

“…These improvements enable the network to distinguish features at different scales effectively while optimizing spatial information processing and reducing computational costs. …”
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YOLO-WAD for Small-Defect Detection Boost in Photovoltaic Modules by Yin Wang, Wang Yun, Gang Xie, Zhicheng Zhao

“…Firstly, we replace C2f (CSP bottleneck with two convolutions) with C2f-WTConv (CSP bottleneck with two convolutions–wavelet transform convolution) in the backbone network to enlarge the receptive field and better extract the features of small-target defects (hot spots). …”
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Buried penis; what buried the penis? by Mohamed Fawzy, Ahmed T. Hadidi

“…Patients were divided into 3 groups; group A: 13 patients with BP, group B: 14 patients with different grades of distal Hypospadias, and group C with 13 patients who were referred for circumcision (control group). …”
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An improved multiscale fusion dense network with efficient multiscale attention mechanism for apple leaf disease identification by Hui LIU, Dandan DAI

“…Incept_EMA_DenseNet consists of three crucial parts: the inception module, which substituted the convolution layer with multiscale fusion methods in the shallow feature extraction layer; the EMA mechanism, which is used for obtaining appropriate weights of different dense blocks; and the improved DenseNet based on DenseNet_121. …”
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RSR Calculator, a tool for the Calibration / Validation activities by C. Durán-Alarcón, A. Santamaría-Artigas, N. Valenzuela, C. Mattar

“…<p>The calibration/validation of remote sensing products is a key step that needs to be done before its use in different kinds of environmental applications and to ensure the success of remote sensing missions. …”
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HyperTaste Lab—A Notebook with a Machine Learning Pipeline for Chemical Sensor Arrays by Gianmarco Gabrieli, Michal Muszynski, Matteo Manica, Joris Cadow-Gossweiler, Patrick W. Ruch

“…The cross-sensitivity of materials in low-selective sensor arrays, namely e-noses and e-tongues, results in a convoluted sensor array response, which renders traditional analytical methods for data processing ineffective. …”
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Proposal of a Viscous Model for Nonviscously Damped Beams Based on Fractional Derivatives by Mario Lázaro, Jose M. Molines-Cano, Ignacio Ferrer, Vicente Albero

“…The theoretical results are contrasted with two different numerical examples.…”
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Digital processing of images with defects due to double beam attenuation in indirect X-ray fluorescence mapping by Luisa Dutra Silva, Lucas da Costa Souza, Davi Ferreira Oliveira, Marcelino José Anjos, Elicardo Alves de Souza Gonçalves

“…This algorithm showed the characteristics of the convolution matrix K needed to solve the problem. The results show the real possibility of using the equipment for this adapted measurement and a methodology that can be expanded to different situations.…”
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Research on the Classification Method of Tea Tree Seeds Quality Based on Mid-Infrared Spectroscopy and Improved DenseNet by Di Deng, Hao Li, Jiawei Luo, Jiachen Jiang, Hongbo Mu

“…Four types of tea tree seeds in different states were prepared, and their spectral data were collected and preprocessed using Savitzky–Golay (SG) filtering and wavelet transform. …”
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Susceptibility-weighted imaging is a key diagnostic tool for isolated posterior inferior cerebellar arterial dissection: a case report by Yoshitaka Nakayama, Teppei Komatsu, Yasuyuki Iguchi

“…The diagnosis was based on observation of chronological changes on magnetic resonance angiography and the appearance of subtle signal on T1-sampling perfection with application-optimized contrasts using different flip angle evolutions (T1-SPACE) in the proximal portion of the PICA. …”
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A Deep Learning Method for Human Sleeping Pose Estimation with Millimeter Wave Radar by Zisheng Li, Ken Chen, Yaoqin Xie

“…To capture both frequency features and sequential features, we introduce ResTCN, an effective architecture combining Residual blocks and Temporal Convolution Network (TCN) to recognize different sleeping postures, from augmented statistical motion features of the radar time series. …”
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A Lightweight Model Enhancing Facial Expression Recognition with Spatial Bias and Cosine-Harmony Loss by Xuefeng Chen, Liangyu Huang

“…The Spatial Bias module enables the model to focus on local facial features while capturing the dependencies between different facial regions. Additionally, a new loss function called Cosine-Harmony Loss is designed. …”
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Enhanced YOLOv8-based pavement crack detection: A high-precision approach. by ZuXuan Zhang, HongLi Zhang, TongJia Zhang

“…At the same time, the recognition rate of different types of cracks in the model reached more than 86%, which increased by 20.5% compared with the YOLO11 model. …”
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Hyperspectral target detection based on graph sampling and aggregation network. by Tie Li, Hongfeng Jin, Zhiqiu Li

“…Concurrently, it exhibits a remarkable adaptability to the diverse characteristics of different datasets, thus validating its high level of accuracy and robustness.…”
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Logatome and Sentence Recognition Related to Acoustic Parameters of Enclosures by Jedrzej KOCIŃSKI, Edward OZIMEK

“…Six enclosures were chosen: a church, an assembly hall of a music school, two courtrooms of different volumes, a typical auditorium and a university concert hall. …”
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A YOLOv8 algorithm for safety helmet wearing detection in complex environment by Chunning Song, Yinzhong Li

“…Finally, propose a new structure of information aggregation, It better fuses information about target characteristics and context at different scales, allowing the information to flow between channels, thus improving the algorithm’s performance. …”
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An Efficient Recommendation Algorithm Based on Heterogeneous Information Network by Ying Yin, Wanning Zheng

“…Heterogeneous information networks can naturally simulate complex objects, and they can enrich recommendation systems according to the connections between different types of objects. At present, a large number of recommendation algorithms based on heterogeneous information networks have been proposed. …”
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Image semantic segmentation with hierarchical feature fusion based on deep neural network by Dawei Yang, Yan Du, Hongli Yao, Liyan Bao

“…Deep neural network can not effectively use the feature information between different levels. The accuracy of image semantic segmentation is damaged. …”
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Research on Aerospace Text Classification Based on BERT-LSTM Model by AN Rui, CHEN Hailong, AI Siyu, CUI Xinying

“…Then, the word vectors of the text sequence are concatenated into a matrix, and different sizes of convolution kernels are used for convolution operations. …”
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CFANet: The Cross-Modal Fusion Attention Network for Indoor RGB-D Semantic Segmentation by Long-Fei Wu, Dan Wei, Chang-An Xu

“…Appropriate feature extraction methods are designed according to the different characteristics of RGB images and depth maps. …”
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