A Novel Over-The-Air Measurement Method for Linear Frequency Modulation Signals Using Continuous Wave Receiver by Sungpil Cheon, Byungkwan Kim

“…The study also explored the impact of varying sampling rates, revealing that higher rates generally reduce errors, with optimal results achieved when the sampling interval aligns harmonically with radar chirp intervals. …”
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Development of Quantitative Structure–Anti-Inflammatory Relationships of Alkaloids by Cristian Rojas, Doménica Muñoz, Ivanna Cordero, Belén Tenesaca, Davide Ballabio

“…The performance of the models was quantified by means of the non-error rate (<i>NER</i>) statistical parameter.…”
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<monospace>TWIRLD</monospace>: Transformer Generated Terahertz Waveform for Improved Radio Link Distance by Shuvam Chakraborty, Claire Parisi, Dola Saha, Ngwe Thawdar

“…<monospace>TWIRLD</monospace> performs a symbol remapping at baseband of OFDM signals, which increases average transmit power while also optimizing the bit error rate (BER). We provide theoretical analysis, statistical equivalence of <monospace>TWIRLD</monospace> to the ideal receiver, and comprehensive complexity and footprint estimates. …”
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Wideband Reflectarray Antennas in the Microwave Range by L. М. Liubina, S. V. Ballandovich, G. A. Kostikov, Yu. G. Antonov

“…., the use of multilayer structures and spatial diversity and geometric optimization of elements, with the purpose of clarifying their practical applicability.Materials and methods. …”
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Technique on Vehicle Damage Assessment After Collisions Using Optical Radar Technology and Iterative Closest Point Algorithm by Shih-Lin Lin, Yi-Hsuan Chen

“…Key performance indicators, including Root Mean Square Error (RMSE), relative translation, and relative rotation angles, are used to quantify the extent of vehicle damage. …”
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Multi-Modal Deep Learning for Lung Cancer Detection Using Attention-Based Inception-ResNet by Mohamed Hosny, Ibrahim A. Elgendy, Mousa Ahmad Albashrawi

“…However, these methods are time-intensive and highly susceptible to human error. Deep learning (DL) has emerged as a powerful alternative to autonomously identify complex patterns within radiological and histopathological images. …”
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A long-term localization and mapping system for autonomous inspection robots in large-scale environments using 3D LiDAR sensors. by Wandeng Mao, Liang Jiang, Shanfeng Liu, Shengzhe Xi, Hua Bao

“…Then, to address drift errors, we formulate the global map as a graph of local submaps that undergo global optimization. …”
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Design and Simulation Test of Non-Contact Voltage Sensor by Haojie Peng, Hongwei Liu, Kuo Shang, Gaoyue Li, Liping Zhao

“…Moreover, the experimental analysis of key parameters, such as parallel resistance and capacitance, identifies the optimal parameter combination for low-voltage distribution lines and cables of 10 kV and below. …”
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Research on Part Tolerances for RV-40E Reducer Based on Virtual Prototype Technology by Shousong Jin, Jianwen Shen, Boyu Wang, Fengyi Yu, Yaliang Wang

“…Finally, through the design of experiment analysis, optimal tolerance values are derived for selected parts as recommended in the final table. …”
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Event-triggered predictive control of high-speed trains under virtual coupling by Jianliang Xu, Zhen Sui, Xiaohua Wei, Feng Xu

“…Secondly, addressing the low computational efficiency and resource wastage in model predictive control, an event-triggered mechanism is introduced to enhance system real-time performance by incorporating judgment conditions during optimization problem-solving. Furthermore, the feasibility and stability of this control method are validated through theoretical analysis. …”
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Sequential or simultaneous-integrated boost in early-stage breast cancer patients: trade-offs between skin toxicity and risk of compromised coverage by Changyou Zhong, Minfeng Huang, Haidong Yu, Jun Yuan, Ruilian Xie, Zhenzhen Lai, Shanzhou Niu, Chunbo Tang

“…The relationship between the high-dose regions within the PTVbreast and Ratio_V was evaluated using univariate analysis. Results The s-SIB had optimal target coverage and lower high-dose volume, but it increased the risk of compromised coverage to tumor bed. …”
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Prediction of carbon dioxide emissions from Atlantic Canadian potato fields using advanced hybridized machine learning algorithms – Nexus of field data and modelling by Muhammad Hassan, Khabat Khosravi, Aitazaz A. Farooque, Travis J. Esau, Alaba Boluwade, Rehan Sadiq

“…Finally, different qualitative (scatter plot, line graph, Taylor diagram, box plot, and Rug plot), and quantitative (uncertainty analysis, root mean square error (RMSE), percent of BIAS (PBIAS), Nash Sutcliff efficiency (NSE) and RMSE-observations standard deviation ratio (RSR)) techniques were used for model evaluation and comparison. …”
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Malaria Cell Image Classification Using Compact Deep Learning Architectures on Jetson TX2 by Adán-Antonio Alonso-Ramírez, Alejandro-Israel Barranco-Gutiérrez, Iris-Iddaly Méndez-Gurrola, Marcos Gutiérrez-López, Juan Prado-Olivarez, Francisco-Javier Pérez-Pinal, J. Jesús Villegas-Saucillo, Jorge-Alberto García-Muñoz, Carlos-Hugo García-Capulín

“…The model was optimized for feature extraction and classification accuracy, achieving 97.72% accuracy, and evaluated using precision, recall, and F1-score metrics and execution time. …”
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Non-destructive estimation of 3D residual stress for peened materials using X-ray diffraction and eigenstrain theory by Takeshi KITAZAWA, Ryohei OKUI, Yuto SANO, Masaru OGAWA

“…This method uses an inverse analysis to estimate the eigenstrain, which is the source of residual stress, from the surface elastic strain measured non-destructively by the X-ray diffraction method. …”
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Vision Transformer-Based Unhealthy Tree Crown Detection in Mixed Northeastern US Forests and Evaluation of Annotation Uncertainty by Durga Joshi, Chandi Witharana

“…Forest health monitoring at scale requires high-spatial-resolution remote sensing images coupled with deep learning image analysis methods. However, high-quality large-scale datasets are costly to acquire. …”
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On the influence of apron and cutoff wall configurations on scour protection downstream grade control structures by Hossein Mohammadnezhad, Mirali Mohammadi, Amir Ghaderi

“…Empirical equations developed using dimensional analysis and multivariate regression accurately predict ds/h and ls/h, with R² above 0.98 and mean errors <10 %. …”
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Enhancing Airport Resource Efficiency Through Statistical Modeling of Heavy-Tailed Service Durations: A Case Study on Potable Water Trucks by Changcheng Li, Minghua Hu, Yuxin Hu, Zheng Zhao, Yanjun Wang

“…Interestingly, contrary to existing operational assumptions, service durations at extremely high and low temperatures showed no significant statistical differences, prompting a reconsideration of temperature-dependent planning practices. Additionally, analysis by aircraft category showed that the Burr distribution best described service durations for large aircraft, while stable and log-logistic distributions were optimal for medium-sized aircraft. …”
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A novel interval valued bipolar fuzzy hypersoft topological structures for multi-attribute decision making in the renewable energy sector by Muhammad Imran Harl, Muhammad Saeed, Muhammad Haris Saeed, Muhammad Salman Habib, Seung-June Hwang

“…Also, a novel decision-making algorithm leveraging the presented structure for multi-criteria analysis and complex system modeling is designed. The algorithm is applied to select optimal renewable energy source based on their economic, environmental, and technical aspects. …”
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Monolithic dual-wedge prism-based spectroscopic single-molecule localization microscopy by Song Ki-Hee, Brenner Benjamin, Yeo Wei-Hong, Kweon Junghun, Cai Zhen, Zhang Yang, Lee Youngseop, Yang Xusan, Sun Cheng, Zhang Hao F.

“…We designed a dual-wedge prism (DWP)-based monolithic imaging spectrometer to overcome these challenges. We optimized the DWP for spectrally dispersing focused beam without deviation and with minimal wavefront error. …”
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A Machine Learning Implementation to Predictive Maintenance and Monitoring of Industrial Compressors by Ahmad Aminzadeh, Sasan Sattarpanah Karganroudi, Soheil Majidi, Colin Dabompre, Khalil Azaiez, Christopher Mitride, Eric Sénéchal

“…Then, a Linear Regression model was fitted to the training data, and the optimized model was stored for real-time inference. …”
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