A Hybrid Forward/Reverse Converter in Reversible Logic to Reduce Hardware Complexity of Residual Number System by Ailin Asadpour, Amir Sabbagh, Azadeh Emrani

“…A residue number system (RNS) that performs arithmetic operations in parallel with error tolerance and no carry propagation requires forward and reverse converters to communicate with other digital circuits. …”
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Laboratory quality management system fundamentals by Segaran P. Pillai, Elizabeth Fox

“…While these frameworks vary in applicability, there are several common elements across these frameworks that can serve as the basic components of any LQMS. …”
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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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The Role of Microbial Exopolysaccharides in Preventing and Treating Cardiovascular Diseases by Enrique A. Sanhueza-Carrera, Cassiopeia Cantero-Ramírez, Angel D. Montijo-Valdés, Cinthya G. Rodríguez-Valladares, Cynthia Fernández-Lainez, Itzhel García-Torres, Pedro Gutiérrez-Castrellón, José F. González-Zamora, Gabriel López-Velázquez

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Quaternion Signal Analysis for Detection of Broken Rotor Fault Degrees in Induction Motors by Jose Luis Contreras-Hernandez, Dora Luz Almanza-Ojeda, Rogelio Castro-Sanchez, Mario Alberto Ibarra-Manzano

“…Fault detection in induction motors is essential for maintaining the reliability of industrial operations. In practical applications, induction motors experience gradual wear on critical components, such as rotor bars, affecting their performance. …”
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Improving Accuracy and Calibration of Deep Image Classifiers With Agreement-Driven Dynamic Ensemble by Pedro Conde, Rui L. Lopes, Cristiano Premebida

“…One of the biggest challenges when considering the applicability of Deep Learning systems to real-world problems is the possibility of failure in <italic>critical</italic> situations. …”
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Evaluating Assistive Technology Outcomes in Boccia Athletes with Disabilities Using AI-Based Kinematic Analysis by Wann-Yun Shieh, Yan-Ying Ju, Shiu-Yuan Yang, I-Chun Chen, Hsin-Yi Kathy Cheng

“…ViTPose outperformed OpenPose in joint detection accuracy (F1-score: 85% vs. 79.5%), while Lifting improved 3D estimation by reducing joint position error by 16%. Principal Component Analysis revealed greater movement consistency in overhand throws compared to underhand techniques. …”
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Mapping of processes and risks in the digital transformation in metrology of ionizing radiation, a case study in X-rays air kerma calibration by Igor Fernando Modesto Garcia, Jeovana Santos Ferreira, Eric Matos Macedo, Marcos Vinicius Teixeira Navarro, José Guilherme Pereira Peixoto

“…For the new metrological challenges of an increasingly digitized world, several countries are developing applications and infrastructure for Digital Calibration Certificates – DCC, researching the comparability of real and virtual measurements. …”
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A fast physics-based perturbation generator of machine learning weather model for efficient ensemble forecasts of tropical cyclone track by Jingchen Pu, Mu Mu, Jie Feng, Xiaohui Zhong, Hao Li

“…Although emerging artificial intelligence (AI)-based weather models offer high forecast accuracy and improved computational efficiency, they still face considerable challenges in ensemble forecasting applications, due to the unclear error growth dynamic and the lack of suitable ensemble methods in AI-based models. …”
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A novel sequential approach through structural enhancements for designing a new serrated helical heat exchanger by Mohamed A. Hamied, Mina Atta, Pedro García-Regodeseves, Juan Carlos Ríos-Fernández

“…All the numerical models are investigated using k-epsilon turbulence model for cold shell flow rate 2–6 kg/min which is commonly used in different industrial applications. The performance of the numerical model for the heat exchanger was validated by comparison with experimental data and previously published experimental and numerical studies, demonstrating a maximum error of approximately 2 %. …”
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Robust event-triggered control algorithm for ship dynamic positioning considering dynamic characteristics of actuators by Bo LI, Guoqing ZHANG, Xianku ZHANG, Hongguang LÜ

“…ObjectivesTo solve the problems of communication resource limitations and parameter uncertainty in the dynamic positioning control tasks of fully driven ships in marine engineering applications, this paper presents a robust event-triggered control algorithm for ship dynamic positioning that considers the dynamic characteristics of the actuators.MethodsThe algorithm uses a radial basis function (RBF) neural network to approximate system uncertainty. …”
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Blockage detection in pipelines based on linear frequency modulated acoustic reflection method by Haiyuan Yao, Dan Li, Yan Li, Bo Yang, Yang Meng

“…Validated via controlled experiments simulating industrial-scale conditions, the system achieved millimeter-level positioning accuracy (error <1 %) across varying blockage intensities (20–100 %), representing a 40 % precision improvement over conventional methods. …”
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Research on a Hybrid Self-Powered Landslide Rainfall Sensor Based on Triboelectric Nanogenerators and Electromagnetic Generators by Hao Zou, Zexu Zuo, Xianhong Shen, Kun Song, Shuai Mao, Bing Chen

“…Experimental results demonstrate that the sensor’s measurement error is less than 5%, and it can operate stably under conditions of temperature below 90 °C and humidity below 90%. …”
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Deep Neural Network-Based Temperature Mapping Technique for Heat Sink on Electronic Devices Using Local Thermocouple Sensors by Jaehee Shin, Hyun Ahn, Gwang-Hyeon Mun, Jeongmin Lee, Pouria Zaghari, Young-Min Park, Jinhyoung Park, Jong Eun Ryu, Dong-Won Jang

“…Results showed that the temperature distribution could be predicted with high accuracy (over 0.95), and the maximum error rate for stress and strain predictions was 7% in the worst case. …”
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Robust JND-Guided Video Watermarking via Adaptive Block Selection and Temporal Redundancy by Antonio Cedillo-Hernandez, Lydia Velazquez-Garcia, Manuel Cedillo-Hernandez, Ismael Dominguez-Jimenez, David Conchouso-Gonzalez

“…These results confirm the method’s viability for practical applications such as copyright protection and secure video streaming.…”
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Fusing LiDAR and Photogrammetry for Accurate 3D Data: A Hybrid Approach by Rytis Maskeliūnas, Sarmad Maqsood, Mantas Vaškevičius, Julius Gelšvartas

“…Experimental results, using a custom dataset of real-world scenes, demonstrate that the hybrid fusion method achieves an average error of less than 5% in the measurements of small reconstructed objects, with large objects showing less than 2% deviation from real sizes. …”
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Low-Cost Portable Road Smoothness Testing Method Based on Pseudo-Vibration Velocity Range by Hongwei Jiang, Xinlong Tong, Yanhong Zhang, Zhoujing Ye, Junqing Li, Yu Wang, Yinghao Miao

“…Testing with different vehicle types showed that the method is applicable to both sedans and SUV models, yielding a relative error of 8.9% for the sedan smoothness test model and 6.7% for the SUV smoothness test model. …”
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Performance enhancement of drone LiB state of charge using extended Kalman filter algorithm by Kamal Anoune, Ismail El Kafazi, Anas El Maliki, Badre Bossoufi, Badr NASIRI, Hana Zekraoui, Mishari Metab Almalki, Thamer A.H. Alghamdi, Mohammed Alenezi

“…The results demonstrate that the proposed SoC_EKF method significantly outperforms the conventional SoC_AH approach, achieving a lower estimation error (1.93 × 10−4 vs. 7.21 × 10−4), leading to improved energy efficiency, reduced carbon footprint, and more reliable, eco-friendly drone operations for clean technology applications.…”
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Design and Implementation of a High-Throughput Digital Microfluidic System Based on Optimized YOLOv8 Object Detection by Ming Cao, Wufeng Duan, Zuwei Huang, Huihong Liang, Fanrong Ai, Xianming Liu

“…This work provides an efficient and reliable solution for high-throughput operations in microfluidic chip applications.…”
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