A novel two stage neighborhood search for flexible job shop scheduling problem considering reconfigurable machine tools by Yanjun Shi, Chengjia Yu, Shiduo Ning

Get full text

Path planning method for maritime dynamic target search based on improved GBNN by Zhaozhen Jiang, Xuehai Sun, Wenlon Wang, Shuzeng Zhou, Qiang Li, Lianglong Da

Get full text

A noise-constrained lightweight high-quality image hiding method based on invertible neural networks by Minghui Zhu, Dapeng Cheng, Yanyan Mao, Lu Sun, Wanting Jing, Yue Kong, Jinjiang Li

“…Most existing image hiding methods have a large number of parameters, complex structures, and significant storage requirements. …”
Get full text

Digital Trade Infrastructures: A Framework for Analysis by Boriana Rukanova, Stefan Henningsson, Helle Zinner Henriksen, Yao-Hua Tan

Get full text

Control-Flow-Based Methods to Support the Development of Sound Workflows by Thomas M. Prinz, Wolfram Amme

“…These techniques provide detailed diagnostic information and have a cubic asymptotic complexity of runtime. Their efficiency and quality is evaluated using a benchmark of over thousand real-world workflows together with two leading state-of-the-art approaches.…”
Get full text

Fault analysis of chemical equipment based on an improved hybrid model. by Wu Huiyong, Kuan Jiang, Wang Yanyu

“…Therefore, designing an intelligent fault detection method that integrates multimodal data, efficiently extracts deep features, and demonstrates strong generalization capability has become a key challenge in current research.This paper proposes an innovative fault detection method for chemical equipment aimed at improving detection accuracy and efficiency, providing technical support for intelligent and predictive maintenance. …”
Get full text

Enhancing Recognition and Categorization of Skin Lesions with Tailored Deep Convolutional Networks and Robust Data Augmentation Techniques by Syed Ibrar Hussain, Elena Toscano

“…Multiple networks, including XceptionNet, DenseNet, MobileNet, NASNet Mobile, and EfficientNet, were evaluated to test deep learning’s potential in complex, multi-class classification tasks. …”
Get full text

License Plate Recognition for Smart Construction Sites Based on GMH-YOLO by Ming Li, Ze-Quan Wang, Yu-Hang Zhao, Qiang Li

“…With the rapid urbanization, vehicle management at construction sites has become crucial for safety and logistics efficiency. However, License Plate Detection in such environments faces unique challenges, such as simultaneous detection of dual plates and body plates, strong light reflections, and muddy interferences. …”
Get full text

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. …”
Get full text

Different Scale Crack Contour Extraction Techniques for Bridges Incorporating Improved YOLOv5 and GCNet by Yiming Wang, Yanfang Guo

“…Aiming at the lack of accuracy and efficiency of the traditional detection methods and the existing deep learning-based detection methods, this study proposes a contour extraction model for bridge cracks at different scales based on the deep learning algorithm. …”
Get full text

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.…”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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.…”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text