Secrecy-Enhanced Data Dissemination Using Cooperative Relaying in Vehicular Networks by Li Sun, Qinghe Du, Pinyi Ren

“…The data dissemination protocol for V2V applications should not only provide end-to-end transmissions with low error probability and high throughput but also offer antieavesdropping capabilities. …”
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Research on Optimization of Railway Obstacle Detection Model Based on Neural Architecture Search by YAO Weiwei, LYU Yu, ZHANG Huiyuan, XIONG Minjun, DONG Wenbo, LI Chen

“…However, traditional neural network models primarily rely on a trial-and-error process conducted by human experts, along with accumulated experience, which is not only time-consuming and tedious, but also hardly guarantees optimum performance for models. …”
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High-precision indoor localization in multi-level buildings by Chokri Ajroud, Jamel Hattay, Mohsen Machhout

“…Accurate localization in multi-floor indoor environments is essential for applications such as large-scale inventory management, healthcare, and security systems. …”
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Mechanical properties of RC combination columns configured with ECC jacket by Jieyong You, Cunsheng Li, Yushuai Zhu, Yanheng Zhao, Liang Xu, Xiaodong Han, Yuanzhen Ge, Zengcong Niu, Dongbo Wan, Long Liu

“…This formula can be applied to ESRCC with varying ECC jacket thicknesses, and the predicted results show relatively small errors. The research provides theoretical support for selecting the optimal ECC jacket thickness in practical engineering applications.…”
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Semiconductor Wafer Flatness and Thickness Measurement Using Frequency Scanning Interferometry Technology by Weisheng Cheng, Zexiao Li, Xuanzong Wu, Shuangxiong Yin, Bo Zhang, Xiaodong Zhang

“…Silicon (Si) and silicon carbide (SiC) are second- and third-generation semiconductor materials with excellent properties that are particularly suitable for applications in scenarios such as high temperature, high voltage, and high frequency. …”
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Sparse Indoor Camera Positioning with Fiducial Markers by Pablo García-Ruiz, Francisco J. Romero-Ramirez, Rafael Muñoz-Salinas, Manuel J. Marín-Jiménez, Rafael Medina-Carnicer

“…Our method employs a comprehensive optimization process that minimizes the reprojection errors of observed markers while applying physical constraints such as camera and marker coplanarity and the use of a set of control points. …”
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Predictive models for the surface roughness and subsurface damage depth of semiconductor materials in precision grinding by Shang Gao, Haoxiang Wang, Han Huang, Zhigang Dong, Renke Kang

“…The models were validated through systematic experiments on three different semiconductor materials, demonstrating excellent agreement with experimental data, with prediction errors of 6.3% for surface roughness and 6.9% for SDD. …”
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Multi-Band Scattering Characteristics of Miniature Masson Pine Canopy Based on Microwave Anechoic Chamber Measurement by Kai Du, Yuan Li, Huaguo Huang, Xufeng Mao, Xiulai Xiao, Zhiqu Liu

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An Artificial Intelligence Generated Automated Algorithm to Measure Total Kidney Volume in ADPKD by Jonathan Taylor, Richard Thomas, Peter Metherall, Marieke van Gastel, Emilie Cornec-Le Gall, Anna Caroli, Monica Furlano, Nathalie Demoulin, Olivier Devuyst, Jean Winterbottom, Roser Torra, Norberto Perico, Yannick Le Meur, Sebastian Schoenherr, Lukas Forer, Ron T. Gansevoort, Roslyn J. Simms, Albert C.M. Ong

“…Its rapidity and precision in real-world clinical cases demonstrate its suitability for clinical application.…”
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A Simplified Calculation Method of Length Adjustment of Datum Strand for the Main Cable with Small Sag by Jun He, Chuanxi Li, Hongjun Ke, Yang Liu, Yuping Zhang, Chuangwen Dong, Hongli Li, Zhe Zhang

“…In order to overcome the complicated iterative process of the cable length adjustment based on catenary theory and large error of length adjustment for cable with a small sag based on the parabola theory, this paper firstly develops a direct and simply calculation method based on parabola theory, considering the influence of elastic elongation on the cable unstressed length, which can apply for datum strand of the main cable and catwalk bearing rope with a small sag to improve the construction accuracy of the datum strand of suspension bridges. …”
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The role of artificial intelligence in vascular care by Nehaar Nimmagadda, BS, Edouard Aboian, MD, Sharon Kiang, MD, Uwe Fischer, MD

“…Machine learning models have improved workflow efficiency, reduced diagnostic errors, and enabled early identification of vascular pathology. …”
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Optimization of PETG 3D printing parameters for the design and development of biocompatible bone implants by M. Moeen Sultan, Tauseef Aized, M. Farooq, Saqib Anwar, Naseer Ahmad, Ambreen Tauseef, Fahid Riaz

“…Fused deposition modeling (FDM) is gaining importance in wide range of applications for developing custom shaped medical implants. …”
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AI-driven fabric classification: real-time implementation for sustainable textile practices in industry 5.0 by Noreen Akram, Rizwan Aslam Butt, Muhammad Amir Qureshi

“…Convectional manual inspection procedure is not only time-consuming but also vulnerable to human errors. The proposed work in this study focused on optimizing a ResNet50 model with PSO (Particle Swarm Optimization) for real-time fabric classification that aligns well with the principles of Industry 5.0 and contributes meaningfully to several Sustainable Development Goals (SDGs). …”
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Developing an Intelligent Resume Screening Tool With AI‐Driven Analysis and Recommendation Features by K. L. Abhishek, M. Niranjanamurthy, Shonit Aric, Syed Immamul Ansarullah, Anurag Sinha, G. Tejani, Mohd Asif Shah

“…ABSTRACT Current resume screening relies on manual review, causing delays and errors in evaluating large volumes of resumes. Lack of automation and data extraction leads to inefficiencies and potential biases. …”
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Development of a Distributed Physics‐Informed Deep Learning Hydrological Model for Data‐Scarce Regions by Liangjin Zhong, Huimin Lei, Jingjing Yang

“…By introducing upstream‐downstream relationships, model errors in sub‐basins propagate through the river network to the watershed outlet, enabling the optimization using limited downstream streamflow data, thereby achieving spatial simulation of ungauged internal sub‐basins. …”
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Leveraging Artificial Neural Networks for Real-Time Speech Recognition in Voice-Activated Systems by Kumar V Suresh, B Raveendra Nadh, S Sureshkumar, Suresh Kumar Anisetty, S R Arun Raj, G Sheeba

“…Performance in contextual understanding remains a problem, errors in pronunciation or deviations from the dialect tend to lead to mistakes. …”
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Color-Based Lifetime Estimation of LEDs Using Spectral Power Distribution Prediction Through Analytical and Machine Learning Models by J. Lokesh, Savitha G. Kini, M. G. Mahesha, Anjan N. Padmasali

“…LEDs have seen widespread adoption across various applications in recent years. However, reliability continues to be a major concern. …”
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Artificial Neural Networks for Residual Capacity Estimation of Cycle-Aged Cylindric LFP Batteries by Pasquale Franzese, Diego Iannuzzi, Roberta Merolla, Mattia Ribera, Ivan Spina

“…The proposed LSTM-based architecture was also benchmarked against a GRU-based model, yielding significantly lower prediction errors. Furthermore, beyond LFP chemistry, the method was tested on a broader NMC dataset comprising seven cells aged under different C-rates and temperatures, where it maintained high accuracy, confirming its scalability and robustness across chemistries and usage conditions. …”
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A deep biometric hash learning framework for three advanced hand‐based biometrics by Huikai Shao, Dexing Zhong, Xuefeng Du

“…Through experiments on benchmarks, equal error rate (EER) and the maximum or minimum distance of genuines or imposters are obtained as performance metrics. …”
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Combining the Improved RGB Water-Filling Algorithm With Penumbra Removal Technique for Shadow Removal From Digitized Images by You-Chang Liu, Cheng-Ta Chuang

“…This study proposes a novel and highly efficient approach for the comprehensive removal of shadows from digitized images that is applicable to a broad spectrum of image types, from document scans to natural scenes. …”
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