Development and Validation of Subchannel Analysis Program for LMR Based on FEM by ZHU Xinyang, CHEN Ronghua, WANG Jinshun, TIAN Jiahao, QIU Suizheng, SU Guanghui, TIAN Wenxi

“…The results demonstrate that the computational results from the FLARE program exhibit good agreement with experimental data as well as calculations from similar programs. The maximum error at high and medium flow rates is 12.6% of the inlet-outlet temperature difference, while the error remains within 10% at low flow rates. …”
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New method for landslide susceptibility evaluation in alpine valley regions that considers the suitability of InSAR monitoring and introduces deformation rate grading by Dingyi Zhou, Zhifang Zhao, Wenfei Xi, Xin Zhao, Jiangqin Chao

“…The landslide susceptibility evaluation model is validated using performance evaluation indexes (Mean Absolute Error (MAE), Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE), and R-Square (R2)), confirming its reliability and effectiveness. …”
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In-Memory Versus Disk-Based Computing with Random Forest for Stock Analysis: A Comparative Study by Chitra Joshi, Chitrakant Banchorr, Omkaresh Kulkarni, Kirti Wanjale

“…The outcomes of this study are helpful for data scientists and financial analysts to choose the most appropriate framework for big data machine learning applications.…”
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Prediction of Effective Width of Varying Depth Box-Girder Bridges Using Convolutional Neural Networks by Kejian Hu, Xiaoguang Wu

“…The proposed method makes real-time analysis possible and has a wide range of applications in the analysis and design of box-girder bridges at different depths.…”
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Revisiting generalizability theory in the age of artificial intelligence: Implications for empirical educational research by Peer-Benedikt Degen

“…It is argued that G-Theory’s variance decomposition logic is uniquely suited to disentangle the multifaceted sources of error introduced by evolving AI systems, user diversity, and complex learning environments. …”
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Improved active vibration control of a cantilever beam using MFC actuators with Hammerstein model-based hysteresis modeling and VSS-FxLMS control algorithm by Hafiz Muhammad Umar, Lei Zhang, Ruichen Yu, Zhiyuan Gao

“…This approach shows promising potential for practical engineering applications requiring precise and efficient active vibration control.…”
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Optimal receiver and blind demodulation performance bounds for single channel co-frequency mixed signals by YU Hongyi, ZHA Renpeng, SHEN Zhixiang, SHEN Caiyao, HU Yunpeng

“…Since the complexity of the optimal receiver grows exponentially with the equivalent symbol rate sampling channel length, the impact of the truncation error on the blind demodulation performance was further analyzed for the channel truncation problem in practical applications. …”
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Incremental Adaptive Control of a Class of Nonlinear Nonaffine Systems by Yizhao Zhan, Shengxiang Zou, Xiongxiong He, Mingxuan Sun

“…The robustness (robust convergence) of the tracking error is characterized, with the aid of a proposed key lemma, while the boundedness of all the variables is examined. …”
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Transfinite Patches for Isogeometric Analysis by Christopher Provatidis

“…In this sense, NURBS-based isogeometric analysis and aspects of T-splines may be considered as special cases. Applications are provided to illustrate the accuracy in the interpolation through the L₂ error norm of closed-formed functions prescribed at the nodal points of the transfinite patch, which represent the solution of partial differential equations under boundary conditions of the Dirichlet type.…”
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Blurred Image Restoration with Unknown Point Spread Function by ghada sabah karam

“…The estimation down by trial and error experimentation, until an acceptable restored image quality is obtained. …”
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Enhancing Temperature Data Quality for Agricultural Decision-Making with Emphasis to Evapotranspiration Calculation: A Robust Framework Integrating Dynamic Time Warping, Fuzzy Logi... by Christos Koliopanos, Alexandra Gemitzi, Petros Kofakis, Nikolaos Malamos, Ioannis Tsirogiannis

“…The enhanced temperature data significantly improve the reliability of inputs for applications such as evapotranspiration (ET) estimation and agricultural decision support systems (DSS). …”
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Enhancing Urban Road Safety: A 5G NR Model for Vulnerable Road Users Awareness by Alexis Yanez, Felipe Salas, Cesar A. Azurdia-Meza, Jorge Ignacio Sandoval, Sandra Cespedes

“…The widespread adoption of cellular networks has played an important role in the integration of road safety applications, capitalizing on the ubiquitous use of this technology by road users and its extensive market penetration. …”
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Comprehensive Analysis of Neural Network Inference on Embedded Systems: Response Time, Calibration, and Model Optimisation by Patrick Huber, Ulrich Göhner, Mario Trapp, Jonathan Zender, Rabea Lichtenberg

“…This is particularly important in applications such as predictive maintenance, which rely on timely state change predictions. …”
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A Study on the Power Consumption of H.264/AVC-Based Video Sensor Network by Bambang A. B. Sarif, Mahsa Pourazad, Panos Nasiopoulos, Victor C. M. Leung

“…We also propose a method to reduce the model estimation error for videos whose content changes within a specified period of time. …”
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Economic Efficiency of Renewable Energy Investments in Photovoltaic Projects: A Regression Analysis by Adem Akbulut, Marcin Niemiec, Kubilay Taşdelen, Leyla Akbulut, Monika Komorowska, Atılgan Atılgan, Ahmet Coşgun, Małgorzata Okręglicka, Kamil Wiktor, Oksana Povstyn, Maria Urbaniec

“…The developed multiple linear regression model achieved a predictive error margin of 14.7%, confirming its validity.</b> This study highlights the technical, economic, and environmental benefits of EPC applications in Türkiye’s public institutions and offers a practical decision-support framework for policymakers. …”
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Advanced battery management system enhancement using IoT and ML for predicting remaining useful life in Li-ion batteries by Gopal Krishna, Rajesh Singh, Anita Gehlot, Ahmad Almogren, Ayman Altameem, Ateeq Ur Rehman, Seada Hussen

“…The proposed model demonstrates significant forecasting precision, attaining a root mean square error (RMSE) of 0.01173, outperforming all comparative models. …”
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5G Fronthaul in Modular P4: eCPRI Protocol Processing and Precise BMv2 Timestamps for PTP-1588 by Atabak Nojavan, Bill Pontikakis, Francois-Raymond Boyer, Yvon Savaria

“…While this paper focuses on 5G fronthaul applications in O-RAN networks, the techniques and results presented are equally applicable to other use cases across end-to-end 5G networks and beyond, paving the way for modular, high-precision, and programmable solutions in future open and interoperable network architectures.…”
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A deep biometric hash learning framework for three advanced hand‐based biometrics by Huikai Shao, Dexing Zhong, Xuefeng Du

“…Furthermore, a plain comparison among them shows that palmprint is more suitable in practical applications.…”
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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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Constitutive models for SPA-H weathering steel under coupled process and atmospheric corrosion by Weizhong Nie, Linfeng Lu, Hao Peng, Jichen Zhang

“…Reliability analysis further confirmed that both models are applicable when the design partial safety factor is ≥1.0. …”
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