A Ship’s Maritime Critical Target Identification Method Based on Lightweight and Triple Attention Mechanisms by Pu Wang, Shenhua Yang, Guoquan Chen, Weijun Wang, Zeyang Huang, Yuanliang Jiang

“…This enhancement improves the model’s ability to recognize and distinguish different targets and buoy colors.…”
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BCDnet: Parallel heterogeneous eight-class classification model of breast pathology. by Qingfang He, Guang Cheng, Huimin Ju

“…Two convolutional bases (VGG16 convolutional base and Resnet50 convolutional base) obtain breast tissue image features from different fields of view. …”
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A Segmentation Network with Two Distinct Attention Modules for the Segmentation of Multiple Renal Structures in Ultrasound Images by Youhe Zuo, Jing Li, Jing Tian

“…Furthermore, the triple-branch multi-head self-attention mechanism leverages the different convolution layers to obtain diverse receptive fields, capture global contextual information, compensate for the local receptive field limitations of convolution operations, and boost the segmentation performance. …”
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L-ENet: An Ultralightweight SAR Image Detection Network by Yutong Wang, Min Miao, Shiliang Zhu

“…Furthermore, the trihead detection structure is revised to a dual-head structure omni-dimensional adaptive spatial feature fusion, using object detection convolution to allocate weights across different scales for efficient detection. …”
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Panel defect detection algorithm based on improved Faster R-CNN by Chen Wanqin, Tang Qingshan, Huang Tao

“…It also analyzes the difference in the aspect ratio of the defect data set, sets the generation size of the aiming window, and combines the DIoU-NMS suggestion frame screening mechanism to improve the matching rate of the prior frame and the target frame. …”
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A high-precision correction method in non-rigid 3D motion poses reconstruction by Cuihong Fan, Weina Fu, Shuai Liu

“…According to the frame difference and morphological processing, the background of image is separated and denoised. …”
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Impact of Wall Impedance Phase Angle on Indoor Sound Field and Reverberation Parameters Derived from Room Impulse Response by Mirosław Meissner, Tomasz G. Zieliński

“…It was also found that a difference between the decay times predicted for the complex impedance and real impedance is especially clearly audible for the largest impedance phase angles because it corresponds approximately to 4 just noticeable differences for the reverberation metrics.…”
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Research on refined UAV inspection method of wind/solar power stations based on YOLOv8 by Jieyi Pu, Qifeng Zhang, Wenbo Zhao, Wei Zhang, Zengren Qin, Yumeng Zhang

“…In order to accelerate the convergence of the PV module contour extraction model, this paper introduces a loss function for the difference in linear angular orientation, which improves the average IOU accuracy of the YOLOv8 model to 93%. …”
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Intrusion Detection System to Advance Internet of Things Infrastructure-Based Deep Learning Algorithms by Hasan Alkahtani, Theyazn H. H. Aldhyani

“…These data are sent to the cloud, which is a huge network of super servers that provides different services to different smart infrastructures, such as smart homes and smart buildings. …”
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Generalized weighted Besov spaces on the Bessel hypergroup by Miloud Assal, Hacen Ben Abdallah

“…In this paper we study generalized weighted Besov type spaces on the Bessel-Kingman hypergroup. We give different characterizations of these spaces in terms of generalized convolution with a kind of smooth functions and by means of generalized translation operators. …”
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The Solvability and Explicit Solutions of Singular Integral–Differential Equations with Reflection by A. S. Nagdy, KH. M. Hashem, H. E. H. Ebrahim

“…For such problems, we propose a novel method different from classical one, by which the explicit solutions and the conditions of solvability are obtained.…”
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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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Performance of A Statistical-Based Automatic Contrast-to-Noise Ratio Measurement on Images of the ACR CT Phantom by Choirul Anam, Riska Amilia, Ariij Naufal, Heri Sutanto, Wahyu S. Budi, Geoff Dougherty

“…The CNR was measured on images acquired with different parameters: tube voltage (80–140 kVp), tube current (80–200 mA), slice thickness (1.25–10 mm), field of view (190–230 mm), and convolution kernel (edge, ultra, lung, bone, chest, standard). …”
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Research on Wind Turbine Main Shaft Bearing Fault Diagnosis Method Based on Unity 3D and Transfer Learning by Shuai Wang, Wenlei Sun, Han Liu, Shenghui Bao, Yunhao Wang, Xin Zhao

“…The state monitoring visualization is limited, fault data and sample labels are scarce, and fault data distribution varies under different operational conditions, leading to low diagnosis accuracy and slow diagnosis speed. …”
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Physics-Guided Self-Supervised Learning Full Waveform Inversion with Pretraining on Simultaneous Source by Qiqi Zheng, Meng Li, Bangyu Wu

“…The objective function is to minimize the difference between the recorded seismic data and the synthetic data by solving the wave equation using the inverted velocity model. …”
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Depression detection based on dual path DCGAN data generation and classification-regression network by LU Jingxue, LI Hongyan, ZHENG Ruichao, QIN Ruizhen

“…For MFCC features, the Teager energy operator is fused into MFCC features to form MFCC-TEO features, which can further highlight the difference of energy distribution. In addition, the dual path deep convolutional generation adversarial network proposed in this paper is used to enhance the two-dimensional feature maps of each depression level to expand the dataset, increase the diversity of feature maps, and improve the robustness and generalization of the model. …”
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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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Self-Healing Properties of Partially Coherent Schell-Model Beams by Gaofeng Wu, Xiaoyan Pang

“…The examples are showed to how the formula can be applied to study the self-healing for different beams and different obstructions. In particular, this approach can be used to conveniently deal with any partially coherent Schell-model beams partially blocked by any shape obstacle. …”
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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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