Fast Intrinsic–Extrinsic Calibration for Pose-Only Structure-from-Motion by Xiaoyang Tian, Yangbing Ge, Zhen Tan, Xieyuanli Chen, Ming Li, Dewen Hu

“…Structure-from-motion (SfM) is a foundational technology that facilitates 3D scene understanding and visual localization. However, bundle adjustment (BA)-based SfM is usually very time-consuming, especially when dealing with numerous unknown focal length cameras. …”
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Management of fracture and displacement of a previously successful bilateral transconjunctival ab-externo XEN gel stent: a case report by Qi Zhang, Chengshou Zhang, Xin Liu, Min Chen, Kaijun Wang

“…Abstract Background The XEN45 Gel Stent (XGS) is an innovative, minimally invasive glaucoma surgery device, which is typically inserted via an ab-interno method, avoiding conjunctival dissection. With increasing experience, some surgeons have advocated for a transconjunctival ab-externo approach, with or without conjunctival dissection, for the delivery of XGS. …”
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Wearable Technology Adoption Among Romanian Students: A Structural Model Based on TAM by Mihai Felea, Mihaela Bucur, Cristian Negruțiu, Maria Nițu, Dragoș Andrei Stoica

“…The results of Structural Equation Modelling (SEM), based on the Partial Least Squares (PLS) method, led to the acceptance of eight out of the nine issued hypotheses, indicating that the three exogenous variables (perceived usefulness, perceived enjoyment and visual attractiveness of wearable devices) have a significant positive influence (with one exception) on endogenous variables (intention to use and attitude towards the use of wearable devices)…”
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Effects of personal states and personality traits on work performance of commissioning workers in nuclear power plants by Qiongdan Mai, Kai Lv, Qi Wang, Ying Lin, Junhao Pan, Yuyin Wang

“…This study makes a pioneering contribution to the field by integrating the effect of personal states and personality traits on work evaluation.Method A total of 101 commissioning workers in nuclear power plants were recruited and monitored for ten consecutive workdays. …”
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PFFNet: A pyramid feature fusion network for microaneurysm segmentation in fundus images by Jiaxin Lu, Beiji Zou, Xiaoxia Xiao, Qinghua Peng, Junfeng Yan, Wensheng Zhang, Kejuan Yue

“…Its automatic segmentation is key to realizing intelligent screening for early DR, which can significantly reduce the risk of visual impairment in patients. However, the minute scale and subtle contrast of MAs against the background pose challenges for segmentation. …”
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Fluorescent diagnostics with chlorin e6 in surgery of low-grade glioma by A. Yu. Rynda, V. E. Olyushin, D. M. Rostovtsev, Y. M. Zabrodskaya, G. V. Papayan

“…The sensitivity of the method for LGG surgery was 72%, the specificity was 56,7%. …”
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Research on the Flow Mechanism of a Large-Scale Wind Turbine Blade Based on Trailing Edge Flaps by Yifan Liu, Mingming Zhang, Bingfu Zhang, Haikun Jia, Na Zhao, Zhaohuan Zhang

“…Additionally, a simulation method that allows for the real-time observation of the flow field was optimized with CFD as a flow field visualizer. …”
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Does Percutaneous Kyphoplasty Have Better Functional Outcome Than Vertebroplasty in Single Level Osteoporotic Compression Fractures? A Comparative Prospective Study by F. Omidi-Kashani, F. Samini, E. G. Hasankhani, A. R. Kachooei, K. Z. Toosi, F. Golhasani-Keshtan

“…We used visual analogue scale (VAS) and short form 36 (SF36) questionnaire to measure functional recovery and followed them for six months. …”
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Progress and prospect of surface self-cleaning technology of machine vision system in underground mining by Shengli YANG, Yongsheng CHEN, Jiachen WANG, Lianghui LI, Fengqi LIU, Shixiong SONG, Dingheng HUI

“…It is bound to install more intelligent sensing systems such as machine vision and lidar, and make use of the self-cleaning device of visual system, which can effectively improve the image quality of visual system, so as to ensure the accuracy of unmanned mining.…”
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Research on Recognition of Green Sichuan Pepper Clusters and Cutting-Point Localization in Complex Environments by Qi Niu, Wenjun Ma, Rongxiang Diao, Wei Yu, Chunlei Wang, Hui Li, Lihong Wang, Chengsong Li, Pei Wang

“…A K-means++-based cluster separation algorithm (K = 1~10, optimized via the elbow method) was developed and was combined with OpenCV to iteratively solve the minimum circumscribed triangle vertices. …”
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Sentinel lymph node mapping with Indocyanine green fluorescence (ICG) for pediatric and adolescent tumors: a prospective observational study by Luca Pio, Celine Richard, Tarek Zaghloul, Andrew J. Murphy, Andrew M. Davidoff, Abdelhafeez H. Abdelhafeez

“…Presently, the gold standard method employing Technetium 99 (99mTc) for localization carries a notable false-negative rate. …”
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Classification of SD-OCT Volumes Using Local Binary Patterns: Experimental Validation for DME Detection by Guillaume Lemaître, Mojdeh Rastgoo, Joan Massich, Carol Y. Cheung, Tien Y. Wong, Ecosse Lamoureux, Dan Milea, Fabrice Mériaudeau, Désiré Sidibé

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Entropy-Regularized Attention for Explainable Histological Classification with Convolutional and Hybrid Models by Pedro L. Miguel, Leandro A. Neves, Alessandra Lumini, Giuliano C. Medalha, Guilherme F. Roberto, Guilherme B. Rozendo, Adriano M. Cansian, Thaína A. A. Tosta, Marcelo Z. do Nascimento

“…We introduce a unified framework that adds an attention branch and CAM Fostering, an entropy-based regularizer, to improve Grad-CAM visualizations. Six backbone architectures (ResNet-50, DenseNet-201, EfficientNet-b0, ResNeXt-50, ConvNeXt, CoatNet-small) were trained, with and without our modifications, on five H&E-stained datasets. …”
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Drone-View Haze Removal via Regional Saturation-Value Translation and Soft Segmentation by Truong-Dong do, Le-Anh Tran, Seokyong Moon, Jio Chung, Ngoc-Phi Nguyen, Sung Kyung Hong

“…Additionally, a robust soft segmentation method that employs a morphological min-max channel is integrated into the framework. …”
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A Novel Context-Aware Feature Pyramid Networks With Kolmogorov-Arnold Modeling and XAI Framework for Robust Lung Cancer Detection by Yajnaseni Dash, Sudhir C. Sarangi, Vinayak Gupta, Naween Kumar, Ajith Abraham

“…The present work describes a new method for detecting lung cancer based on a Kolmogorov-Arnold Network (KAN) combined with a Context-Aware Feature Pyramid Network (FPN), denoted KAFPN and supported by XAI tools, including Local Interpretable Model-agnostic Explanations (LIME) and SHapley Additive exPlanations (SHAP) for explanation purposes. …”
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Moisture migration analysis of laminated veneer lumber based on low field nuclear magnetic resonance by Yingying Zhu, Jun Yan, Shuilong Lu, Wenqing Ouyang, Shanwen Li, Zhanxiu Chen, Shengbao Feng, Zhong Li

“…MRI was used to observe the water distribution during the water absorption and drying process and found that the visual images were consistent with the quantified NMR spectral results. …”
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Predicting Landing Position Deviation in Low-Visibility and Windy Environment Using Pilots’ Eye Movement Features by Xiuyi Li, Yue Zhou, Weiwei Zhao, Chuanyun Fu, Zhuocheng Huang, Nianqian Li, Haibo Xu

“…Then, a random forest method is used to rank eye movement features and sequentially construct feature sets by feature importance. …”
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Abdominal wall repair with acellular bovine pericardial membranes - Part I - Clinical and radiological findings by Luiz Fernando Frascino, Fernanda Ribeiro Funes Lorenzzato, Hamilton Luiz Funes, Jonas Dias de Campos Severi

“…Radiologically, it was not possible to visualize the matrices at the implantation site in any of the postoperative periods analyzed. …”
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Optical and SAR Image Registration in Equatorial Cloudy Regions Guided by Automatically Point-Prompted Cloud Masks by Yifan Liao, Shuo Li, Mingyang Gao, Shizhong Li, Wei Qin, Qiang Xiong, Cong Lin, Qi Chen, Pengjie Tao

“…We use a prompt-driven visual segmentation model with automatic prompt point generation to produce cloud masks that guide cross-modal feature-matching and joint adjustment of optical and SAR data. …”
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STPam: Software for Intelligently Analyzing and Mining Spatiotemporal Processes Based on Multi-Source Big Data by Rongjun Xiong, Zeqiang Chen, Huiwen Pan, Dongyang Liu, Aiguo Sun, Nengcheng Chen

“…In summary, STPam aids researchers in visualizing and analyzing geospatial processes and also holds potential application value in assisting regional management authorities in making disaster prevention and mitigation decisions.…”
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