Multi‐Annual Inventorying of Retrogressive Thaw Slumps Using Domain Adaptation by Yiling Lin, Xie Hu, Haoyu Lu, Fujun Niu, Gengnian Liu, Lingcao Huang, Shanghang Zhang, Jifu Liu, Yunhuai Liu

“…We still lack the knowledge about the geographic locations of RTSs and their dynamically changing spatial margins. However, visual interpretation is labor‐intensive while the present‐day deep learning methods become ineffective when the model trained in one year is directly transferred to another. …”
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Sagittal alignment to predict efficiency in pulsed radiofrequency for cervical facet joint pain by Cheng-Yo Yen, Sheng-Min Lin, Hong Yu Chen, Shih-Wei Wang, Yu-Duan Tsai, Cien-Leong Chye, Te-Yuan Chen, Hao-Kuang Wang, Kuo-Wei Wang

“…The corresponding optimal cutoff for discriminating a poor outcome was 7° for the C2–C7 Cobb angle and − 2° for the angle measured using the Jackson method.…”
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Aesthetic Value Assessment Coupled with Landscape Character Assessment for Hengshan Mountain Scenic Area by Renjing ZHAO, Bingtai XING, Yuqian WANG

“…The research can also provide new perspectives for solving a series of problems in the process of integrating and optimizing scenic spots, such as the demand for sightseeing activities, conflicts in urban development, and inheritance of ecological and cultural values, and be able to improve the international heritage aesthetic assessment system from a Chinese perspective.MethodsBased on the guidance ideas, evaluation methods, technical platforms, and conclusion descriptions of relevant landscape character assessment at home and abroad, and on the basis of determining the scope of the research object, a research framework for aesthetic value assessment coupled with landscape character assessment for Hengshan Mountain Scenic Area is constructed through the combination of elbow method, K-means, entropy weight method, and TOPSIS method, which includes two stages: landscape character assessment and aesthetic value assessment. …”
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Detection of Bipolar Disorder and Schizophrenia Employing Bayesian-Optimized Grad-CAM-Driven Deep Learning by Osman Tayfun Bişkin, Cemre Candemir, Mustafa Alper Selver

“…Recent advancements suggest that DL can outperform traditional statistical methods, offering higher classification accuracy and enabling the differentiation of complex psychiatric disorders. …”
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An Integrated System for Detecting and Numbering Permanent and Deciduous Teeth Across Multiple Types of Dental X-Ray Images Based on YOLOv8 by Ya-Yun Huang, Chiung-An Chen, Yi-Cheng Mao, Chih-Han Li, Bo-Wei Li, Tsung-Yi Chen, Wei-Chen Tu, Patricia Angela R. Abu

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Clinical application research on the quantitative measurement of supraspinatus muscle fatty degeneration based on PACS system to improve preoperative assessment by Sitong Zhang, Yan Huang, Jian Hu, Shiao Li, Beijie Qi, Wu Wang, Menghong Cao, Qian Wang

“…ObjectiveTo evaluate the clinical efficacy of a novel quantitative method using the Picture Archiving and Communication System (PACS) for multiplane assessment of supraspinatus muscle fatty infiltration (FI) and compare its reliability and accuracy with traditional single-plane visual evaluations (Under Direct Vision-FF) in preoperative planning for rotator cuff tear (RCT) patients.MethodsA retrospective analysis was conducted on patients undergoing arthroscopic rotator cuff repair (ARCR) between January and June 2023. …”
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CausMatch: Causal Matching Learning With Counterfactual Preference Framework for Cross-Modal Retrieval by Chen Chen, Dan Wang

“…This study specifically investigates the influence of acquired visual and textual attention on network predictions by employing counterfactual intervention as a method of scrutiny. …”
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Innovative Road Maintenance: Leveraging Smart Technologies for Local Infrastructure by Laura Fabiana Jáuregui Gallegos, Rubén Gamarra Tuco, Alain Jorge Espinoza Vigil

“…It compares the conventional methods International Roughness Index (IRI) and the Pavement Condition Index (PCI) with novel methodologies that employ smart technologies. …”
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Damage identification based on the inner product matrix and parallel convolution neural network for frame structure by Yingying He, Ji Feng, Baogang Sun, Feixue Wang, Likai Zhang, Jidi Jiang

“…The results demonstrate that the IPM-PCNN model can automatically extract relevant features from the signals to accurately identify structural damage, achieving an accuracy of 96.60% on the test set, outperforming machine learning methods in performance. Furthermore, the internal inference processes of these methods are explored and visualized to provide insights into their decision-making mechanisms.…”
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Hyperbolic geometry enhanced feature filtering network for industrial anomaly detection by Yanjun Feng, Jun Liu, Yonggang Gai

“…Abstract In recent years, Cutting-edge machine learning algorithms and systems in Industry 4.0 enhance quality control and increase production efficiency. The visual perception algorithms have become extensively utilized in surface defect detection, progressively replacing manual inspection methods. …”
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THE THEME OF THE DEPORTATION OF THE CHECHEN PEOPLE IN THE GRAPHIC CYCLE CROSSROADS OF MEMORY (1944-2019) BY RUSTAM YAKHIKHANOV by Zarema R. Khamzatova

“…The fundamental research method is a comprehensive approach, incorporating methods of concrete-historical and semiotic analysis, figurative-stylistic analysis, as well as methods of extraction and explication. …”
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Quantitative Evaluation of SRS Similarity for Aerospace Testing Applications by Ibukun O. Adebolu, Hirokazu Masui, Mengu Cho

“…This paper compares five different quantitative methods for evaluating shock response similarity. …”
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ANALYSIS OF RON 92 OIL BASED ON MORPHOLOGY AND HISTOGRAM TECHNIQUES by Indah Purnama Sari, Zainal Azis, Ahmad Riady Hasibuan

“…The main problem faced in fuel quality evaluation is the inaccuracy and inconsistency of manual methods. Manual methods often require expensive equipment and trained workers and are prone to human error. …”
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Mitigating the Impact of Labeling Inaccuracies on 3D Human Body Reconstruction from Monocular Videos by Yupeng Hou, Guangping Zeng

“…Abstract This paper addresses the challenge of labeling inaccuracies in 3D human pose and shape reconstruction from monocular videos. Existing methods often rely on noisy pseudo ground truth, which introduces performance degradation such as jittering and drifting. …”
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Spectral Normalization for Generative Adversarial Networks for Artistic Image Transformation by Zhixu Shu, Kewang Zhang

“…These results confirm that the proposed method achieves more realistic and efficient artistic image transformations compared to traditional methods and other deep learning algorithms.…”
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Multi-dimensional perceptual recognition of tourist destination using deep learning model and geographic information system. by Shengtian Zhang, Yong Li, Xiaoxia Song, Chenghao Yang, Niusha Shafiabady, Robert M X Wu

“…Finally, a progressive dimension combination method was proposed to visualize and analyze multiple perceptions. …”
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Assessing thermal properties of enclosing structures of construction facilities by analysis of thermograms by D. F. Karpov, M. V. Pavlov

“…One of the most effective ways to assess thermal protection of construction facilities of various applications is thermal control. Methods. According to the national standard “Method for thermal imaging quality control of thermal insulation of enclosing structures” in force on the Russian Federation territory, the results of thermal imaging monitoring of capital and completed construction facilities are divided into qualitative and quantitative depending on set goals and objectives. …”
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Methodology for detecting anomalies in cyber attack assessment data using Random Forest and Gradient Boosting in machine learning by A. S. Kechedzhiev, O. L. Tsvetkova, A. I. Dubrovina

“…Developing effective methods for detecting anomalies and protecting against cyber threats is becoming a priority for organizations. …”
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Future research focus and trends in nerve transplantation: a bibliometrics research from 2015 to 2024 by Sheng Wang, Jiajia Lu, Hui Han, Yongchuan Li, Nan Lu, Aimin Chen

“…Through the research method of bibliometrics, this study investigates the research hotspots and development trends in this field, and fills the research gap in this field.MethodsThe publications in the core database of Web of Science (WoS) were collected, and the included publications were analyzed by bibliometric methods after the screening exclusion process. …”
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UNet–Transformer Hybrid Architecture for Enhanced Underwater Image Processing and Restoration by Jie Ji, Jiaju Man

“…Despite recent progress, existing methods struggle to generalize across diverse underwater conditions, such as varying turbidity levels and lighting. …”
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