High-precision segmentation and quantification of tunnel lining crack using an improved DeepLabV3+ by Zhutian Pan, Xuepeng Zhang, Yujing Jiang, Bo Li, Naser Golsanami, Hang Su, Yue Cai

“…Current semantic segmentation models have limitations in addressing tunnel lining crack, such as high complexity, misidentification, or inability to detect tiny cracks in specific practical scenarios, which is crucial for precise assessment of tunnel lining health. …”
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Design Considerations for 1.6 Tbit/s Data Center Interconnects: Evaluating IM/DD and Coherent Transmission over O-Band Transmission Window by Adrian A. Juarez, Yanjun Zhu, Xin Chen, Ming-Jun Li

“…Yet, reducing coherent transmission complexity is desirable for cost-effective and power-efficient data center applications. …”
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A Deep Learning Inversion Method for Airborne Time-Domain Electromagnetic Data Using Convolutional Neural Network by Xiaodong Yu, Peng Zhang, Xi Yu

“…Due to the high detection efficiency of the airborne time-domain electromagnetic method, it can quickly collect electromagnetic response data for large area-wide regions, but it also brings great challenges to the inversion interpretation of the data because there are numerous survey data that need to be inverted. …”
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Artificial Intelligence for Financial Accountability and Governance in the Public Sector: Strategic Opportunities and Challenges by Ceray Aldemir, Tuğba Uçma Uysal

“…The study reveals that AI-driven solutions such as predictive analytics, fraud detection systems, and automated reporting significantly improve operational efficiency, transparency, and decision making. …”
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STUDY OF FEATURES OF MICROFLORA OF PATIENTS WITH DISEASES OF THE ORAL MUCOSA. EVALUATION OF THE EFFICACY OF PRODUCTS BASED ON BACTERIOPHAGES "FAGODENT" IN THE TREATMENT OF CHRONIC... by E. A. Volkov, M. L. Polovets, K. E. Isadzhanyan, G. S. Pashkova, V. V. Nikitin, V. M. Popova, E. L. Zhilenkov

“…Effective complex treatment of patients with pathology of the oral mucosa (OM) includes drug effects on pathogenic bacteria as a possible etiological factor in the development of these diseases.Purpose. …”
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Impact of rainy season on approach trajectories in high-altitude airport terminal maneuvering area: a clustering analysis by Jianxiong Chen, Jingtao Wang, Fan Li, Lin Zou

“…Abstract Ensuring airspace safety is crucial for the efficient operation of aviation, especially at high-altitude airports where challenging weather and geographic conditions significantly increase operational complexity. …”
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Determining Novice and Expert Status in Human–Automation Interaction Through Hidden Markov Models by Anne French, Mary L. Cummings, Haibei Zhu, Miroslav Pajic

“…Training operators for complex systems demand substantial time and resources, necessitated by safety considerations and the expansive scale of these systems. …”
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Simplified radar architecture based on information metasurface by Si Ran Wang, Zhan Ye Chen, Shao Nan Chen, Jun Yan Dai, Jun Wei Zhang, Zhen Jie Qi, Li Jie Wu, Meng Ke Sun, Qun Yan Zhou, Hui Dong Li, Zhang Jie Luo, Qiang Cheng, Tie Jun Cui

“…This study presents an innovative radar system paradigm that integrates RF front ends and signal processors onto an information metasurface platform, achieving essential sensing functions with reduced system complexity and cost.…”
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Toward Smart SCADA Systems in the Hydropower Plants through Integrating Data Mining-Based Knowledge Discovery Modules by Gheorghe Grigoras, Răzvan Gârbea, Bogdan-Constantin Neagu

“…The increasing importance of hydropower generation has led to the development of new smart technologies and the need for reliable and efficient equipment in this field. As long as hydropower plants are more complex to build up than other power plants, the operation regimes and maintenance activities become essential for the hydropower companies to optimize their performance, such that including the data-driven approaches in the decision-making process represents a challenge. …”
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Integrin-specific control of focal adhesion kinase and RhoA regulates membrane protrusion and invasion. by Patricia Costa, Tim M E Scales, Johanna Ivaska, Maddy Parsons

“…Cancer cells require adhesion to surrounding tissues for efficient migration to occur, which is mediated through the integrin family of receptors. …”
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Feature fusion with attributed deepwalk for protein–protein interaction prediction by Mei-Yuan Cao, Suhaila Zainudin, Kauthar Mohd Daud

“…While experimental methods for detecting PPIs exist, computational approaches offer a more efficient alternative. …”
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Revolutionizing Sperm Analysis with AI: A Review of Computer-Aided Sperm Analysis Systems by Francisco J. Baldán, Diego García-Gil, Carlos Fernandez-Basso

“…Overall, this review outlines current innovations and future research directions essential for advancing personalized, efficient, and accessible fertility care.…”
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FIRM image analysis: A machine learning workflow for quantifying extracellular matrix components from electron microscopy images. by Nicholas T Gigliotti, Justin Lee, Emily H Mang, Giancarlo R Zambrano, Mitra L Taheri

“…The extracellular matrix (ECM) is a complex network of biomolecules that plays an integral role in the structure, processes, and signaling mechanisms of cells and tissues. …”
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A lightweight certificateless aggregate signature scheme without pairing for VANETs by Qiuling Yue, Weijian Jiang, Hong Lei

“…Abstract In the secure vehicular ad-hoc networks (VANETs), certificateless aggregate signature schemes(CLAS) have attracted more and more attention because they can efficiently implement message aggregation and authentication without complex certificate management. …”
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Development and field application of metabarcoding-adapted mt-ND4 markers shows substantial gene flow and varying local pressures on Haemonchus contortus and Teladorsagia circumcin... by Osama Zahid, Umer Chaudhry, Neil Donald Sargison

“…Modern sequencing techniques enable the efficient exploration of genetic diversity, necessary to inform effective parasite control. …”
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Development and evaluation of a multiplex molecular point-of-care assay for direct identification of Mycobacterium tuberculosis and prioritized non-tuberculous mycobacteria by Qiao-Lian Yi, Yun Wu, Yun Wu, Shuang He, Meng-Li Feng, Xiao-Yu Liu, Xin-Zhu Zhou, Xin-Zhu Zhou, Hao-Tian Gao, Yu-Fan Zhang, Qi-Wen Yang, Qi-Wen Yang, Ying-Chun Xu, Ying-Chun Xu

“…In the pilot study, we established the fastNTM and analyzed its performance regarding limits of detection, reproducibility, specificity and efficiency. …”
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Development of a Multifunctional Mobile Manipulation Robot Based on Hierarchical Motion Planning Strategy and Hybrid Grasping by Yuning Cao, Xianli Wang, Zehao Wu, Qingsong Xu

“…To realize navigation and collision avoidance in complex environments, a new hierarchical motion planning strategy is proposed by fusing global and local planners. …”
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DS Net: A Dual-Coded Segmentation Network Leveraging Large Model Prior Knowledge for Intelligent Landslide Extraction by Xiao Wang, Dongsheng Zhong, Chenghao Liu, Xiaochuan Song, Luting Xu, Yue Deng, Shaoda Li

“…An innovative Dual-Coded Segmentation Network (DS Net), which realizes dynamic alignment and deep fusion of local details and global context, image features and domain knowledge through the multi-attention mechanism of Prior Knowledge Integration (PKI) module and Cross-Feature Aggregation (CFA) module, significantly improves the landslide detection accuracy and reliability. To objectively evaluate the performance of the DS Net model, four efficient semantic segmentation models—SegFormer, SegNeXt, FeedFormer, and U-MixFormer—were selected for comparison. …”
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AI-driven genetic algorithm-optimized lung segmentation for precision in early lung cancer diagnosis by Yahia Said, Riadh Ayachi, Mouna Afif, Taoufik Saidani, Saleh T. Alanezi, Oumaima Saidani, Ali Delham Algarni

“…Abstract Lung cancer remains the leading cause of cancer-related mortality worldwide, necessitating accurate and efficient diagnostic tools to improve patient outcomes. …”
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A Comprehensive Review of Smartphone and Other Device-Based Techniques for Road Surface Monitoring by Saif Alqaydi, Waleed Zeiada, Ahmed El Wakil, Ali Juma Alnaqbi, Abdelhalim Azam

“…Machine learning algorithms, particularly CNNs, are utilized to classify road anomalies, enhancing detection accuracy and system efficiency. The results demonstrate that smartphone-based systems, paired with advanced data processing and machine learning, significantly reduce the cost and complexity of traditional road surveys. …”
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