Exploring the relationship between audio–visual perception in Fuzhou universities and college students' attention restoration quality using machine learning by Shaofeng Chen, Zhengyan Chen, Jiawen Hong, Xiaowen Zhuang, Chenxi Su, Zheng Ding

“…ObjectiveIn response to the challenges posed by mental health issues among college students and the declining quality of campus environments, this study aims to reveal the complex mechanisms underlying the relationship between campus audiovisual environments and the quality of students' attention recovery. …”
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Medical 3D Printing Using Material Jetting: Technology Overview, Medical Applications, and Challenges by Shivum Chokshi, Raghav Gangatirkar, Anish Kandi, Maria DeLeonibus, Mohamed Kamel, Seetharam Chadalavada, Rajul Gupta, Harshitha Munigala, Karthik Tappa, Shayne Kondor, Michael B. Burch, Prashanth Ravi

“…Additionally, this report portrays the technological information behind MJT 3DP, cases involving fabricated MJT 3DP models from the University of Cincinnati 3DP lab, as well as the challenges of MJT in a clinical setting, including cost, expertise in managing the machines, and scalability issues. It is expected that MJT 3DP, as imaging and segmentation technologies undergo future improvement, will be best poised with representing the voxel-level-variations captured by radiologic-image-sets due to its capacity for voxel-level-control.…”
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Performance Degradation Law and Model Construction of Hydraulic Concrete Under Freeze-Thaw Cycles: A Comprehensive Review by Xiangyi Zhu, Xiaohe Zhou, Yuxuan Xia, Xudong Chen

“…Although researchers have attempted to reveal the deterioration mechanism of multi-factor interaction by means of numerical methods, there are still many fundamental issues that require further exploration and more in-depth research due to the limitations of constitutive models. …”
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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

“…In recent years, deep learning-based synthetic aperture radar (SAR) image detection, recognition, and segmentation models achieve remarkable accuracy when trained on large amounts of SAR image samples. …”
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Analytical support to organization system of children transportation in long-distance trains by A. V. Komissarov, E. A. Makarova, S. V. Muktepavel, I. A. Nestrakhov, I. N. Spesivtseva

“…In modern conditions for passenger complex of Russian Railways, important tasks include improvement of transportation quality, maintenance of stable positions in a competitive environment and increasing demand. To address these issues, a customer-oriented approach is applied based on the segmentation of transport market in relation to certain groups of passengers. …”
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Revolutionizing diagnosis of pulmonary Mycobacterium tuberculosis based on CT: a systematic review of imaging analysis through deep learning by Fei Zhang, Hui Han, Minglin Li, Tian Tian, Guilei Zhang, Zhenrong Yang, Feng Guo, Maomao Li, Yuting Wang, Jiahe Wang, Ying Liu

“…The traditional methods for diagnosing and differentiating tuberculosis (TB) remain thorny issues, particularly in areas with a high TB epidemic and inadequate resources. …”
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A Refined Terrace Extraction Method Based on a Local Optimization Model Using GF-2 Images by Guobin Kan, Jie Gong, Bao Wang, Xia Li, Jing Shi, Yutao Ma, Wei Wei, Jun Zhang

“…We then integrated morphological, textural, and spectral features to optimize the extraction process by addressing issues related to low adhesion and edge segmentation performance. …”
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Seeding Status Monitoring System for Toothed-Disk Cotton Seeders Based on Modular Optoelectronic Sensors by Tao Jiang, Xuejun Zhang, Zenglu Shi, Jingyi Liu, Wei Jin, Jinshan Yan, Duijin Wang, Jian Chen

“…Subsequently, threshold segmentation is performed on the time when seeds block the photoelectric path under different seeding states. …”
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A new BWO-based RGB vegetation index and ensemble learning strategy for the pests and diseases monitoring of CCB trees using unmanned aerial vehicle by Keliang Hu, Keliang Hu, Junchen Liu, Hai Xiao, Qiangguo Zeng, Jun Liu, Jun Liu, Lei Zhang, Lei Zhang, Man Li, Man Li, Zhihui Wang, Zhihui Wang

“…To tackle the high cost and challenging data processing issues associated with traditional hyper-spectral/multi-spectral sensors, this method only relies on UAV visible light RGB bands. …”
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High-accuracy combustible gas cloud imaging system using YOLO-plume classification network by Jiani Zhou, Yang Liu, Yong Zhang, Haotian Hu, Zenan Leng, Feng Sun, Chen Chen

“…Additionally, a gas plume model is introduced as a key physical constraint condition in the loss function to enhance the model’s accuracy, segmentation precision, and generalization ability in handling gas plume tasks. …”
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Optimization of MSMEs Clustering in Sampang District Using K-Medoids Method and Silhouette Coefficient Method by Muhammad Iqbal Firmansyah, Yeni Kustiyahningsih, Eza Rahmanita, Mochammad Syahrul Abidin, Budi Dwi Satoto

“…This study aims to identify the business development patterns of MSMEs in Sampang District using the K-Medoids method. The background issue raised is the lack of appropriate segmentation for MSMEs, which complicates the efforts of the government and business actors in designing suitable development strategies. …”
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Mangrove Extraction Algorithm Based on Orthogonal Matching Filter-Weighted Least Squares by Yongze Li, Jin Ma, Dongyang Fu, Jiajun Yuan, Dazhao Liu

“…However, mangroves typically grow in coastal and near-shore areas with complex water colors, where traditional mangrove extraction algorithms face challenges such as unclear region segmentation and insufficient accuracy. To address this issue, in this paper we propose a new algorithm for mangrove identification and extraction based on Orthogonal Matching Filter–Weighted Least Squares (OMF-WLS) target spectral information. …”
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TripletA-Net: A Deep Learning Model for Automatic Railway Track Extraction from Airborne LiDAR Point Clouds by Runyuan Zhang, Qiong Ding, Alex Hay-Man Ng, Dan Wang, Jiwei Deng, Mingwei Xu, Yuelin Hou

“…TripletA-Net enables automatic and precise semantic segmentation of railway track point clouds. It incorporates a triplet attention mechanism to establish dependencies across different point cloud dimensions, adaptively assigning weights to capture both global and local features comprehensively. …”
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Imaging Estimation for Liver Damage Using Automated Approach Based on Genetic Programming by David Herrera-Sánchez, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes, Socorro Herrera-Meza, Eduardo Rivadeneyra-Domínguez, Isaac Zamora-Bello, María Fernanda Almanza-Domínguez

“…Image classification, segmentation, and estimation are relevant issues addressed using various techniques. …”
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Deep Learning in Digital Breast Tomosynthesis: Current Status, Challenges, and Future Trends by Ruoyun Wang, Fanxuan Chen, Haoman Chen, Chenxing Lin, Jincen Shuai, Yutong Wu, Lixiang Ma, Xiaoqu Hu, Min Wu, Jin Wang, Qi Zhao, Jianwei Shuai, Jingye Pan

“…The applications of DL in DBT are then grouped into three categories: diagnostic classification of breast diseases, lesion segmentation and detection, and medical image generation. …”
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Spatial phenotyping of human bronchial airways in obstructive lung disease by Latifa Khalfaoui, Raymond M. Moore, Jose. C. Villasboas, Kaitlyn R. Whitaker, Brenna C. Novotny, Michael A. Thompson, Christina M. Pabelick, Y. S. Prakash

“…We performed cell segmentation on multiplex immunofluorescence images and quantified marker intensity in each cell. …”
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Enhanced Multi-Threshold Otsu Algorithm for Corn Seedling Band Centerline Extraction in Straw Row Grouping by Yuanyuan Liu, Yuxin Du, Kaipeng Zhang, Hong Yan, Zhiguo Wu, Jiaxin Zhang, Xin Tong, Junhui Chen, Fuxuan Li, Mengqi Liu, Yueyong Wang, Jun Wang

“…However, the traditional single-threshold Otsu segmentation struggles with adaptability and accuracy under complex field conditions. …”
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THE IMPACT OF THE USE OF BIOFUELS ON CO2 EMISSIONS AT THE LEVEL OF EUROPEAN COUNTRIES FROM THE PERSPECTIVE OF ABSOLUTE DECOUPLING by Valentina SIMION, Liviu MARCUTA, Maricel CAZACU, Nicolae MINEA, Camelia HODOAȘAN

“…This study emphasized the various viewpoints on the dynamics of CO2 emissions and the interplay between political, economic, and energy issues in European nations between 2021 and 2023. …”
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Computer vision-based detection of liquid levels within cylindrical tanks in wastewater treatment by MA Huanhuan, LI Yunbei, ZHANG Yuanxin, HE Yu, SHI Ningning, FAN Anrui, ZHOU Linhao, HUANG Biaobing, HONG Shuangxi, ZHANG Xiaoju

“…The Otsu algorithm was employed for image segmentation, enabling precise recognition of liquid levels. …”
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Ocena wrażliwości państwa średniego na wojnę informacyjną by Bohdan Pac

“…The article makes it possible to fill a certain research niche in terms of an interdisciplinary approach to the issue at hand. …”
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