A MFR Work Modes Recognition Method Based on Dual-Scale Feature Extraction by Zhiyuan Li, Xuan Fu, Chengjian Mo, Jianlong Tang, Ronghua Guo, Wenbo Li

“…The recognition method first obtains the variable-length sequence processing capability through pulse sequence segmentation. Then, a structure composed of convolutional neural network (CNN) and long short-term memory (LSTM) is followed to extract the deep time-series features at the internal-segment scale of segments, and the features of each segment are concatenated in the time dimension. …”
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Efficient Approach for the Localization of Copy-Move Forgeries Using PointRend with RegNetX by Mahmoud H. Farhan, Khalid Shaker, Sufyan Al-Janabi

“…Therefore, the development of technology becomes a necessary issue to detect and localize a forgery in an image. …”
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Research on Adaptive Identification Technology for Rolling Bearing Performance Degradation Based on Vibration–Temperature Fusion by Zhenghui Li, Lixia Ying, Liwei Zhan, Shi Zhuo, Hui Li, Xiaofeng Bai

“…To address the issue of low accuracy in identifying the transition states of rolling bearing performance degradation when relying solely on vibration signals, this study proposed a vibration–temperature fusion-based adaptive method for bearing performance degradation assessments. …”
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SERNet: Spatially Enhanced Recalibration Network for Building Extraction in Dense Remote Sensing Scenes by Kuikui Han, Yuanwei Yang, Xianjun Gao, Dongjie Yang, Lei Xu

“…The rapid development of urban and rural construction has accelerated the demand for segmentation in dense building scenes. However, the issue of inaccurate building localization in such scenes still lacks effective solutions. …”
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Validation Framework for Analyzing Complex Anatomical Structures: Application of L-System Models by Katarzyna Heryan, Jacek Tarasiuk, Janusz Skrzat

“…However, the complexity of renal vascular trees, particularly in corrosive endocasts, requires custom-designed algorithms to address unique challenges in reconstruction, segmentation, skeletonization, and graph-based representation. …”
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Aberrant brain-stem morphometry associated with sleep disturbance in drug-naïve subjects with Alzheimer's disease by Lee JH, Jung WS, Choi WH, Lim H

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SN360: Semantic and Surface Normal Cascaded Multi-Task 360 Monocular Depth Estimation by Payal Mohadikar, Ye Duan

“…In this paper, we propose to mitigate the existing global inconsistency and merging artifact issue via a new initial depth estimation network that directly takes a panorama image to learn holistic features with enhanced global awareness via latent attention. …”
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A comprehensive analysis of deep learning and transfer learning techniques for skin cancer classification by Manishi Shakya, Ravindra Patel, Sunil Joshi

“…All these algorithms are trained using segmented images which are achieved by using the active contour approach. …”
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Historical Documents and Automatic Text Recognition: Introduction by Ariane Pinche, Peter Stokes

“…With this special issue of the Journal of Data Mining and Digital Humanities (JDMDH), we bringtogether in one single volume several experiments, projects and reflections related to automatic textrecognition applied to historical documents. …”
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THE ROLE OF INFLAMMATION FOR THE WORSE OUTCOMES IN PATIENTS WITH ST ELEVATION MYOCARDIAL INFARCTION UNDERWENT TRANSCUTANEOUS CORONARY INTERVENTION, COMORBID WITH IMPAIRED GLUCOSE T... by Ю. А. Беленькова, В. Н. Каретникова, А. О. Дяченко, О. В. Груздева, О. П. Благовещенская, Т. С. Молодцова, О. Л. Барбараш

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Judiciary in the Serbian Constitution of 2006 and a critical review of draft amendments by Stanković Marko

“…The Serbian Constitution contains five key issues related to the independence of judiciary. Further analysis will include proposed amendments to the Constitution. …”
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Decentralized Immunization Monitoring: Lessons Learnt from a Pilot Implementation in Kumbotso LGA, Kano State, Nigeria by Adam Attahiru, Yahaya Mohammed, Fiyidi Mikailu, Hyelshilni Waziri, Ndadilnasiya Endie Waziri, Mustapha Tukur, Bashir Sunusi, Mohammed Nasir Mahmoud, Nancy Vollmer, William Vargas, Yusuf Yusufari, Gustavo Corrêa, Heidi W. Reynolds, Teemar Fisseha, Talatu Buba Bello, Moreen Kamateeka, Adefisoye Oluwaseun Adewole, Musa Bello, Imam Wada Bello, Sulaiman Etamesor, Joseph J. Valadez, Patrick Nguku

“…Targeted measures addressing education, trust, and systemic issues are needed. Findings emphasize decentralized monitoring, community engagement, and context-specific strategies to reduce ZD children and ensure equitable vaccination in Nigeria.…”
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Fast Low Rank and Sparse Decomposition Based on Greedy Bilateral Smoothing for Infrared Small Target Detection by Yan-Shan Zhang, Ze-Yin Li, Dong-Dong Pang, Lu-Yao Wang, Cheng-Jun Wu, Kang Duan, Jun-Ming Gao

“…The efficient and accurate detection of infrared small targets under various heterogeneous backgrounds has always been a key issue that needs to be addressed. To address this issue, this study presents a fast and robust low rank and sparse decomposition algorithm for infrared small target detection. …”
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Method for calculating porosity in tight sandstone reservoir thin sections based on ICSO intelligent algorithm by Tao Liu, Zongbao Liu, Kejia Zhang, Feng Tian, Yan Zhang, Ruixue Zhang, Cuiyun Xu, Fang Liu, Xiaowen Liu, Haoran Wang, Mengning Mu

“…The SOLOv2 instance segmentation algorithm was used to segment and label pore regions in images. …”
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SegRoadv2: a hybrid deformable self-attention and convolutional network for road extraction with connectivity structure by Zhengbo Yu, Zhe Chen, Keyan Xiao, Xiangqi Lei, Rui Tang, Qiaoran He, Zhongchang Sun, Huadong Guo

“…Nevertheless, the complexity of roads and image characteristics pose various challenges. To address this issu e, we propose SegRoadv2, a road extraction algorithm based on SegRoad. …”
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TEBS: Temperature–Emissivity–Driven band selection for thermal infrared hyperspectral image classification with structured State-Space model and gated attention by Enyu Zhao, Nianxin Qu, Yulei Wang, Caixia Gao, Jian Zeng

“…However, the high spectral redundancy in TIR-HSIs often leads to increased computational complexity and potential performance degradation. To address this issue, this paper proposed an unsupervised temperature–emissivity–driven band selection method (TEBS) for TIR-HSIs classification, which integrated a structured state-space model (SSM) and a gated attention mechanism (GAM). …”
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CPS-LSTM: Privacy-Sensitive Entity Adaptive Recognition Model for Power Systems by Hao Zhang, Jing Wang, Xuanyuan Wang, Xuhui Lü, Zhenzhi Guan, Zhenghua Cai, Hua Zhang

“…Traditional taint analysis methods are inefficient in identifying these entities, hindering the realization of accurate identification. To address this issue, we first propose a high-quality data construction method based on privacy protocols, which includes sentence segmentation, compression encoding, and entity annotation. …”
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3D fault detection method using TransVNet by Yang Lei, Chenqiang Zhang, Wenjing Wu, Mingchun Chen, Mingchun Chen, Xiaotao Wen, Xilei He, Chenggang Bai, Siping Qin, Ying Li, Lijing Wang

“…However, the accuracy and continuity of predictions generated by existing convolutional neural networks (CNNs) on real seismic data fail to meet practical production requirements.MethodsTo address this issue, we integrated the Transformer architecture into the V-Net framework, proposing a fault detection method based on the TransVNet network. …”
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Real-Time Batch Detection System for Defects in Highly Curved Spiral Cylindrical Coils by Qinghang Zhuo, Linghua Kong, Jishi Zheng, Zhigang Ding, Wenguang Li, Dingrong Yi, Guofu Lian

“…By constructing the dataset and training the semantic segmentation model, the surface cracks were effectively detected and identified. …”
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Vision-Based Localization Method for Picking Points in Tea-Harvesting Robots by Jingwen Yang, Xin Li, Xin Wang, Leiyang Fu, Shaowen Li

“…To address the issue of accurately recognizing and locating picking points for tea-picking robots in unstructured environments, a visual positioning method based on RGB-D information fusion is proposed. …”
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