Comparative Study on Rail Damage Recognition Methods Based on Machine Vision by Wanlin Gao, Riqin Geng, Hao Wu

“…With the rapid expansion of railway networks and increasing operational complexity, intelligent rail damage detection has become crucial for ensuring safety and improving maintenance efficiency. …”
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Attribute-based lightweight reconfigurable access control policy by Rongna XIE, Hui LI, Guozhen SHI, Yunchuan GUO

“…Aiming at the severe challenges of access control policy redundancy and conflict detection,the efficiency of access control policy evaluation in complex network environment,an attribute-based lightweight reconfigurable access control policy was proposed.Taking the attribute-based access control policy as an example,the attribute-based access control policy was divided into multiple disjoint atomic access control rules according to the operation type,subject attribute,object attribute,and environment attribute in the access control policy.Complex access control policies were constructed through atomic access control rules and an algebraic expression formed by AND,OR logical relationships.A method for redundancy and collision detection of atomic access control rules was proposed.A method was proposed for decompose a complex access control policy into equivalent atomic access control rules and an algebraic expression.The method for redundancy and collision detection of complex access control policies were proposed through redundancy and collision detection of equivalent atomic access control rules and algebraic expressions.From time complexity and space complexity,the efficiency of the equivalent transformation access control policy was evaluated.It showes that the reconstruction method for access control policy greatly reduces the number,size and complexity of access control policy,improves the efficiency of access control policy redundancy and collision detection,and the efficiency of access control evaluation.…”
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A Review on Pipeline In-Line Inspection Technologies by Qingmiao Ma, Weige Liang, Peiyi Zhou

“…Although existing technologies have achieved significant progress in defect detection accuracy and environmental adaptability, they still face challenges including insufficient adaptability to complex environments, the inherent trade-off between detection accuracy and efficiency, and high equipment costs. …”
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A Tuning Method for Speed Tracking Controller Parameters of Autonomous Vehicles by Jianqiao Chen, Guofu Tian

“…While significant progress has been made in areas such as path planning, obstacle detection, and navigation, relatively less focus has been placed on vehicle speed control, which plays a critical role in ensuring safe and efficient operation, especially in complex and dynamic road environments. …”
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Direct prion neuroinvasion following inhalation into the nasal cavity by Anthony E. Kincaid, Melissa D. Clouse, Shawn M. Magrum, Jason C. Bartz

“…Prions were identified in the trigeminal ganglion, the spinal trigeminal tract in the brainstem, the intermediolateral cell column of the thoracic spinal cord, and the dorsal motor nucleus of the vagus/solitary nucleus complex months prior to detection of prions in the olfactory bulb or superior cervical ganglion. …”
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Dynamic Patch-Based Sample Generation for Pulmonary Nodule Segmentation in Low-Dose CT Scans Using 3D Residual Networks for Lung Cancer Screening by Ioannis D. Marinakis, Konstantinos Karampidis, Giorgos Papadourakis, Mostefa Kara

“…HighRes3DNet is a specialized 3D convolutional neural network (CNN) architecture based on ResNet principles which uses residual connections to efficiently learn complex spatial features from 3D volumetric data. …”
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Mn-Doped CeO₂ Nanozyme-Integrated Mesoporous Interfaces for High-Sensitivity Antifouling Electrochemiluminescence Biosensing by Guanze Huang, Haiyan Qiu, Huiping Chen, Wanxuan Li, Yufei Zhang, Minfang Huang, Tingting Zhang, Xiaoxin Xu, Shanwen Hu

“…To address the challenges of nonspecific adsorption interference and low mass transfer efficiency encountered by electrochemiluminescence (ECL) sensors in complex biological matrices, this study developed a Mn@CeO₂ nanozyme-based sensing interface. …”
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Recent Facial Image Preprocessing Techniques: A Review by Rendra Soekarta, Ku Ruhana Ku-Mahamud

“…As the demand for more robust, fair, and efficient systems grows, developing domain-specific preprocessing methods and adopting cutting-edge artificial intelligence technologies will be vital to meet the challenges of increasingly complex applications.…”
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A fast video coding algorithm using data mining for video surveillance by Bingyue Xie

“…Video surveillance is crucial for various applications, including unmanned aerial vehicle operations, flight safety monitoring, social security management, industrial safety, and criminal detection. The large volume of video data generated in these areas requires efficient processing techniques. …”
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Aspects of Electrochemical Biosensors Using Affinity Assays by Thor Pedersen, Leonid Gurevich, Nils E. Magnusson

“…This impedes the broad commercial implementation of biosensors in, e.g., Point-of-Care (PoC) settings where ease of operation, portability, and cost-efficiency are prioritized. Small, robust electrochemical biosensors are a promising alternative for analyzing biomarkers in complex samples within PoC environments. …”
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Innovative Applications of Nanopore Technology in Tumor Screening: An Exosome-Centric Approach by Heng Chi, Liuxin Shi, Songlin Gan, Guangyi Fan, Yuliang Dong

“…However, traditional methods for exosome isolation and detection are often limited by inadequate sensitivity, specificity, and efficiency. …”
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Terahertz Spectroscopy for Food Quality Assessment: A Comprehensive Review by Jie Yang, Xue Bai, Mingji Wei, Hui Jiang, Leijun Xu

“…Its unique penetration, high sensitivity, and low photon energy characteristics, combined with chemometrics and machine learning methods, provide an efficient solution for the qualitative and quantitative analysis of complex food ingredients. …”
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A Signal-Based Data Fusion Approach in Non-DestructiveTesting of Composite Materials in the Aerospace Industry by Tom Avikasis Cohen, Anna Brook

“…Our findings highlight that data fusion markedly improves NDT effectiveness in complex, multi-layered composite aerospace materials, raising industry standards in both efficiency and accuracy. …”
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Faster, more accurate? A feasibility study on replacing human judges with artificial intelligence in video review for the Paris Olympics Taekwondo competition by Yuncheng Zhang, Ruojie Qu, Olivier Girard

“…Additionally, the AI system reduced average review time by approximately 81% by automatically identifying critical frames.DiscussionWhile AI significantly improved efficiency and showed high consistency with expert judgments, human oversight remains crucial for ambiguous or complex cases. …”
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Implementation of Automatic Segmentation Framework as Preprocessing Step for Radiomics Analysis of Lung Anatomical Districts by Alessandro Stefano, Fabiano Bini, Nicolò Lauciello, Giovanni Pasini, Franco Marinozzi, Giorgio Russo

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HP-YOLO: A Lightweight Real-Time Human Pose Estimation Method by Haiyan Tu, Zhengkun Qiu, Kang Yang, Xiaoyue Tan, Xiujuan Zheng

“…Our method significantly enhances the real-time performance and efficiency of human pose estimation while maintaining high accuracy, offering an optimal solution for applications in complex environments.…”
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Analysis and Synthesis March Memory Tests by V. N. Yarmolik, V. A. Levantsevich, D. V. Demenkovets

“…Mathematical models of memory device faults and the efficiency of their detection, in particular, complex pattern sensitive faults of the PNPSFk type, based on classical march memory tests are presented. …”
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Chemometric and computational modeling of polysaccharide coated drugs for colonic drug delivery by Ahmad Khaleel AlOmari, Khaled Almansour

“…Parity plots and learning curves further validate MLP’s predictive reliability, demonstrating close alignment between actual and predicted values and efficient learning with minimal overfitting. Consequently, the MLP model emerges as the most effective approach for this predictive task, offering a robust tool for accurately modeling complex spectral data. …”
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SAMU-Net: A dual-stage polyp segmentation network with a custom attention-based U-Net and segment anything model for enhanced mask prediction by Radiful Islam, Rashik Shahriar Akash, Md Awlad Hossen Rony, Md Zahid Hasan

“…Early detection of colorectal cancer through the proper segmentation of polyps in the colonoscopy images is crucial. …”
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Parallelization of the Bison Algorithm Applied to Data Classification by Simone A. Ludwig, Jamil Al-Sawwa, Aaron Mackenzie Misquith

“…In data science and machine learning, efficient and scalable algorithms are paramount for handling large datasets and complex tasks. …”
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