Detection method of small size defects on pipeline weld surface based on improved YOLOv7. by Xiangqian Xu, Wenting Hou, Xing Li

“…Then, the convolution module in the backbone network and the feature fusion network is replaced by the depthwise separable convolution with less computational overhead, so as to effectively reduce the network calculation, parameter quantity and model volume. …”
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Three-Dimensional Magnetotelluric Forward Modeling Using Multi-Task Deep Learning with Branch Point Selection by Fei Deng, Hongyu Shi, Peifan Jiang, Xuben Wang

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Forced Convection Heat Transfer in V-Pattern Folded Core Sandwich Structures by Sifeng Li, Zhijin Wang, Chen Zhou

“…Based on the periodic feature of folded core, a methodology to simulate the fully developed flow and heat transfer state with a few unit cells is developed. …”
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EcoDetect-YOLOv2: A High-Performance Model for Multi-Scale Waste Detection in Complex Surveillance Environments by Jing Su, Ruihan Chen, Mingzhi Li, Shenlin Liu, Guobao Xu, Zanhong Zheng

“…Experiments conducted on the IEWED dataset, which features multi-object, multi-class, and highly complex real-world scenes, demonstrate that EcoDetect-YOLOv2 outperforms the baseline YOLOv8s by 1.0%, 4.6%, 4.8%, and 3.1% in precision, recall, mAP<sub data-eusoft-scrollable-element="1">50</sub>, and mAP<sub data-eusoft-scrollable-element="1">50:95</sub>, respectively, while reducing the parameter count by 19.3%. …”
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Investigation on Pore-Fracture of Coal and Its Influence Mechanism on Tensile Failure Behavior of Coals with Bursting Proneness by Yutao Li, Qingwei Guo, Xunchen Liu, Yaodong Jiang, Bo Zhang, Hao Wang

“…The feature of acoustic emission parameters indicates that the deformation and failure process of a sample under loading could be divided into four stages: compaction stage, elastic deformation stage, displacement plastic growth stage, and post peak failure stage, which is the result of comprehensive action of many factors. …”
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An efficient surface electromyography-based gesture recognition algorithm based on multiscale fusion convolution and channel attention by Bin Jiang, Hao Wu, Qingling Xia, Hanguang Xiao, Bo Peng, Li Wang, Yun Zhao

“…The Inception, which is a multiscale fusion convolutional module, is adopted to enhance the ability to extract sEMG features. It uses fast dimensionality reduction, asymmetric convolution decomposition, and pooling to suppress the accumulation of parameters, then reducing the algorithmic complexity; The ECA is adopted to reweight the output features of Inception in different channels, enabling the RIE model to focus on information that is more relevant to gestures. 52-, 49-, and 52-class gesture recognition experiments are conducted on NinaPro DB1, DB3, and DB4 datasets, which contain 14,040, 3234, and 3120 gesture samples, respectively. …”
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Infrared image super resolution with structure prior from uncooled infrared readout circuit by Kai Che, Jian Lv, Jia Wei, Jiayuan Gong, Longcheng Que, Yun Zhou

“…Building on these components, we propose a hybrid network named Efficient Infrared Image Super-Resolution (EIRSR), which achieves an excellent balance between performance and efficiency in terms of parameters and computational costs. Furthermore, we scale the model to create a family of variants, collectively known as EIRSRs. …”
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FR-CapsNet: Enhancing Low-Resolution Image Classification via Frequency Routed Capsules by Hasindu Dewasurendra, Kunmin Yeo, Nhan Thi Cao, Taejoon Kim

“…Though VLR images lose fine grained features, they retain high-level features captured by the low-frequency components. …”
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Development of an optimized deep learning model for predicting slope stability in nano silica stabilized soils by Ishwor Thapa, Sufyan Ghani, Prabhu Paramasivam, Mitiku Adare Tufa

“…Furthermore, XAI and SHAP techniques were employed to enhance model interpretability, revealing that features c, NS%, and β are the most influential factors governing slope stability. …”
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E-MobileViT: a lightweight model for traffic sign recognition by Shiqi Song, Xinfeng Ye, Sathiamoorthy Manoharan

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Pedestrian Detection in Fisheye Images Based on Improved YOLOv8 Algorithm by ZHU Yumin, SUN Guangling, MIAO Fei

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Keypoint Detection and 3D Localization Method for Ridge-Cultivated Strawberry Harvesting Robots by Shuo Dai, Tao Bai, Yunjie Zhao

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Efficient microaneurysm segmentation in retinal images via a lightweight Attention U-Net for early DR diagnosis by Muhammad Zeeshan Tahir, Xingzheng Lyu, Muhammad Nasir, Wengan He, Abeer Aljohani, Sanyuan Zhang

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Modeling of an Electromagnetic Cannon using ATP-EMTP and ATPDraw by José Manuel Aller, Juan José Cordero Cantos, Pedro José León Rojas, Jhonny Rengifo

“…The system features a cylindrical metallic armature that traverses multiple stages of circular coils. …”
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Prediction of Shield Tunneling Attitude Based on WM-CTA Method by GAO Su, CHEN Cheng

“…The Convolutional Neural Network (CNN) integrated with a channel-wise attention mechanism explored parameter weight differences and extracted local data features. …”
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Fusing satellite imagery and ground-based observations for PM2.5 air pollution modeling in Iran using a deep learning approach by Zohreh Sohrabi, Jamshid Maleki

“…We utilized satellite data, ground-based observations, and meteorological parameters as input features. The models were evaluated using Root Mean Square Error (RMSE) and the coefficient of determination (R2). …”
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Based on Regular Expression Matching of Evaluation of the Task Performance in WSN: A Queue Theory Approach by Jie Wang, Kai Cui, Kuanjiu Zhou, Yanshuo Yu

“…Experiments show that our approach ensures accurate matching and computational efficiency of more than 70%; it not only effectively detects data packets and access control, but also uses queuing method to determine the parameters of task scheduling in wireless sensor networks. …”
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Model-free current control solution employing intelligent control for enhanced motor drive performance by Muhammad Usama, Jaehong Kim

“…Abstract The study presents an intelligent, model-free current control strategy that eliminates the need for explicit plant models while efficiently reducing the effect of plant parameter perturbation. By employing a data-driven approach with fewer input features, the proposed scheme reduces the computational burden during training while maintaining high control performance. …”
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An epidemical model with nonlocal spatial infections by Su Yang, Weiqi Chu, Panayotis Kevrekidis

“…Stationary states and their stability analysis offer a perspective on the early spatial growth of the infection. Evolutionary computational dynamics enable visualization of the spatio-temporal progression of infection and recovery, allowing for an appreciation of the effect of varying parameters of the nonlocal kernel, such as, e.g., its width parameter. …”
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SYSTEMIC GENERATION OF SOLVING NECESSARY PROFESSIONAL THE TASKS by Vladimir M. Nesterenko

“…The article explains the widespread use of mathematical modeling and computational experiment in solving scientific and technical problems. …”
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