IMP‐DETR: Optimization model for defect detection of injection‐moulded products by Anzhan Liu, Lei Han

“…Additionally, the Conv3XC‐Fusion module is designed to resolve the problem of integrating multi‐scale features, improving the stability of detection. …”
Get full text

A Study on New Generation Electro-pneumatic Braking Control Technology for Autonomous-rail Rapid Tram by LIANG Peng, YU Jieren, LUO Xiaofeng, LI Taipeng

“…In the pressure regulation integrated module section, multiple functional valves such as pressure regulating valve, emergency solenoid valve, and remote relief valve are integrated into one module. …”
Get full text

Recall Mechanism and Multi-Head Attention for Numerical Reasoning by Linjia Lai, Tien-Ping Tan, Bocan Zeng

“…The decoder, which consists of four modules (RM Module, Selector, MA Module, and Program Solver), generates inference steps and answers based on contextual information from the encoder. …”
Get full text

Multi-Scale Construction Site Fire Detection Algorithm with Integrated Attention Mechanism by Haipeng Sun, Tao Yao

“…An iCBAM attention module is designed to suppress background noise interference and enhance the representation capability of the network. …”
Get full text

Assessment of binary prediction of fraudulent advertisements in ATS candidate tracking cloud systems by V. V. Ligi-Goryaev, G. A. Mankaeva, T. B. Goldvarg, S. S. Muchkaeva, E. N. Dzhakhnaeva

“…Various machine learning algorithms can be employed to address this issue. Traditional classification algorithms, including LSVC (Support Vector Machine), GBT (Gradient Boosting Tree), and RF (Random Forest), have been chosen for this study. …”
Get full text

STar-DETR: A Lightweight Real-Time Detection Transformer for Space Targets in Optical Sensor Systems by Yao Xiao, Yang Guo, Qinghao Pang, Xu Yang, Zhengxu Zhao, Xianlong Yin

“…Subsequently, the dynamic depthwise shuffle transformer (DDST) feature fusion module is introduced to emphasize the trajectory formed by space target exposure. …”
Get full text

DiffuSAR: Frequency Domain-Aware Diffusion Model for SAR Image Generation by Zilu Ying, Wenyu Ke, Yikui Zhai, Zhihao Long, Jianhong Zhou, Hufei Zhu, C. L. Philip Chen

“…A practical approach to address this issue involves the use of artificially generated training samples to supplement the dataset. …”
Get full text

MSGEGA: Multiscale Gaussian Enhancement and Global-Aware Network for Infrared Small Target Detection by Yuyang Xi, Liuwei Zhang, Ying Jiang, Feng Qian, Fanjiao Tan, Qingyu Hou

“…In recent years, the development of deep learning has significantly improved the performance of infrared small targets detection, particularly in addressing the issue of detecting small infrared targets with high signal-to-clutter ratio (SCR). …”
Get full text

YOLOv8-RBean: Runner Bean Leaf Disease Detection Model Based on YOLOv8 by Hongbing Chen, Haoting Zhai, Jinghuan Hu, Hongrui Chen, Changji Wen, Yizhe Feng, Kun Wang, Zhipeng Li, Guangyao Wang

“…Despite the continuous advancement of disease detection technologies, existing legume disease detection models still face significant challenges in identifying small-scale, irregular, and visually insignificant disease types, limiting their practical application. To address this issue, this study proposes an improved detection model, YOLOv8_RBean, based on the YOLOv8n object detection framework, specifically designed for runner bean leaf disease detection. …”
Get full text

Solar Radio Burst Detection Based on Deformable DETR by Mingming Wang, Guowu Yuan, Hao Zhou, Chengming Tan, Hao Wu

“…First, this study designed a scale-sensitive attention module to better address the scale variations of SRBs. …”
Get full text

Frequency Spectrum Adaptor for Remote Sensing Image–Text Retrieval by Ziyi Wan, Enyuan Zhao, Jie Nie, Ze Zhang, Zhiqiang Wei, Nan Zheng, Yuting Zhao

“…Third, a cross-modal spectrum mutual aggregation module was introduced to promote the deep integration of linguistic, spatial, and spectral information. …”
Get full text

Incremental Cotton Diseases Detection Based on Aerial Remote Sensing Image and Blockchain Sharding by Jing Nie, Haochen Li, Yang Li, Jingbin Li, Xuewei Chao, Sezai Ercisli

“…How to improve the efficiency of cotton pest and disease model detection and get better training effect is a key issue in the task of cotton pest and disease management. …”
Get full text

Influence of pulmonary neuroendocrine cells on lung homeostasis by S. S. Popko, V. M. Yevtushenko, V. K. Syrtsov

“…Pulmonary neuroendocrine cells together with immune cells form a neuroimmunological module for the reception and response to environmental chemoattractants. …”
Get full text

WCMU-net: An Effective Method for Reducing the Impact of Speckle Noise in SAR Image Change Detection by Yu Duan, Kaimin Sun, Wangbin Li, Jinjiang Wei, Song Gao, Yingjiao Tan, Wanghui Zhou, Jun Liu, Junyi Liu

“…Subsequently, conventional convolutions are utilized to extract high-level semantic information from frequency-domain images, with the resulting feature maps serving as patch inputs to the ConvMixer module to acquire blended spatial and positional information. …”
Get full text

FUSCANet: Enhancing Skin Disease Classification Through Feature Fusion and Spatial-Channel Attention Mechanisms by Qinyang Liu, Xuan Wang, Hongjiu Liu, Xiangzhen Zang, Lei Li, Zhanlin Ji, Ivan Ganchev

“…Skin diseases represent a prevalent global health issue that significantly impacts the physical and mental well-being of patients. …”
Get full text

YOLOv8-EMSC: A lightweight fire recognition algorithm for large spaces by Deng Li, Tan Yang, Zhou Jin, Wu Si-qi, Liu Quan-yi

“…The incorporation of C2f_EMSC, replacing the C2f module, significantly reduces the model parameters in the enhanced YOLOv8-EMSC model compared to YOLOv8n, thereby enhancing model inference speed. …”
Get full text

TCSRNet: a lightweight tobacco leaf curing stage recognition network model by Panzhen Zhao, Panzhen Zhao, Songfeng Wang, Shijiang Duan, Aihua Wang, Lingfeng Meng, Yichong Hu

“…Secondly, the incorporation of Ghost modules significantly reduces the model’s computational complexity and parameter count through parameter sharing, enabling efficient recognition of tobacco leaf curing stages. …”
Get full text

YOLOv5-MDS: Target Detection Model for PCB Defect Inspection Based on YOLOv5 Integrated With Mamba Architecture by Deming Guo, Qi Xi, Long Zhang, Jing Wang, Yilong Ye, Ziyi Zeng

“…Additionally, we optimized the intersection over union (IoU) calculation method and the upsampling module. This strategic integration aims to overcome the inherent limitation of convolutional operations’ local receptive fields, thereby enabling the model to capture features more effectively. …”
Get full text

CaLiJD: Camera and LiDAR Joint Contender for 3D Object Detection by Jiahang Lyu, Yongze Qi, Suilian You, Jin Meng, Xin Meng, Sarath Kodagoda, Shifeng Wang

“…To address this issue, this study proposes a 3D object detection network, CaLiJD (Camera and Lidar Joint Contender for 3D object Detection), guided by two-dimensional detection results. …”
Get full text

Identifying and Diagnosing Lytic Cell Death Genes in Atherosclerosis Using Machine Learning and Bioinformatics by Zhang G, Ma R, Jin H, Zhang Q, Li W, Ding Y

Get full text