RFID-embedded mattress for sleep disorder detection for athletes in sports psychology by Metin Pekgor, Aydolu Algin, Turhan Toros

“…Evaluated with data from five participants in supine and prone positions, the system achieved a posture recognition root mean square error (RMSE) of 0.42 and movement detection RMSE of 0.15. …”
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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 paper further investigates the influence of network structure on model calibration, quantified using the Expected Calibration Error (ECE), and the limits of potential optimisation opportunities. …”
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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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Virtual sensing-enabled digital twin framework for real-time monitoring of nuclear systems leveraging deep neural operators by Raisa Hossain, Farid Ahmed, Kazuma Kobayashi, Seid Koric, Diab Abueidda, Syed Bahauddin Alam

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High-Order Model-Based Robust Control of a Dual-Motor Steer-by-Wire System with Disturbance Rejection by Minhyung Kim, Insu Chung, Junghyun Choi, Kanghyun Nam

“…Compared to conventional low-order control methods, the proposed approach significantly reduces tracking error and demonstrates enhanced robustness and disturbance attenuation. …”
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Cooperative Formation Control of Multiple Ships with Time Delay Conditions by Wei Tao, Jian Tan, Zhongyi Sui, Lizheng Wang, Xin Xiong

“…Simulation results demonstrate that the proposed control strategy effectively maintains formations, even in the presence of communication delays, with a convergence time of approximately 100 s and a formation error stabilizing at around 7 m. This research lays a foundation for more reliable cooperative control systems for ships, with potential applications in a variety of maritime and autonomous systems.…”
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Landscape of regulatory quantitative systems pharmacology submissions to the U.S. Food and Drug Administration: An update report by Jane P. F. Bai, Guansheng Liu, Miao Zhao, Jie Wang, Ye Xiong, Tien Truong, Justin C. Earp, Yuching Yang, Jiang Liu, Hao Zhu, Gilbert J. Burckart

“…QSP submissions for informing pediatric drug development were summarized along with highlights of a case in inborn errors of metabolism. Furthermore, simulations of response variability with QSP were described. …”
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A Novel Approach to Autonomous Driving Using Double Deep Q-Network-Bsed Deep Reinforcement Learning by Ahmed Khlifi, Mohamed Othmani, Monji Kherallah

“…Deep reinforcement learning (DRL) trains agents to make decisions by learning from rewards and penalties, using trial and error. It combines reinforcement learning (RL) with deep neural networks (DNNs), enabling agents to process large datasets and learn from complex environments. …”
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The Role of Artificial Intelligence in Aviation Construction Projects in the United Arab Emirates: Insights from Construction Professionals by Mariam Abdalla Alketbi, Fikri Dweiri, Doraid Dalalah

“…The applications of Artificial Intelligence (AI) in the airport industry are significantly transforming operational efficiency, safety, and passenger experiences. …”
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Exact and numerical solutions of the generalized breaking soliton system: Insights into non-linear wave dynamics by Amer Ahmed, Abdulghani R. Alharbi, Ishak Hashim

“…Validation of these results and an assessment of their stability were carried out by developing a numerical scheme based on finite difference and undertaking a detailed error and stability analysis, demonstrating unconditional stability across a range of parameter values. …”
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Direct torque control for a six phase induction motor using a fuzzy based and sliding mode controller by Mohamed I. Abdelwanis, Alaa A. Zaky, F. Selim

“…Based on simulation results, the fuzzy PID inverter reduces the speed error and THD of the current and voltage waveforms, thereby improving MSPIM’s overall performance when compared to the regular PID and SMC.…”
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Adaptive Disturbance Rejection Motion Control of Direct-Drive Systems with Adjustable Damping Ratio Based on Zeta-Backstepping by Zhongjin Zhang, Zhitai Liu, Weiyang Lin, Wei Cheng

“…Direct-drive servo systems are extensively applied in biomimetic robotics and other bionic applications, but their performance is susceptible to uncertainties and disturbances. …”
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Experimental Implementation of Enhanced Security Coherent One-Way Quantum Key Distribution by Amirhosein Dadahhani, Soheil Hajibaba, Hamid Asgari, Majid Khodabandeh, Fatemeh Rezazadeh, Azam Mani, Seyed Ahmad Madani

“…We also emphasize that monitoring the click rates of the data line detector for each state individually serves as a powerful method for detecting zero-error attacks.…”
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Intelligent Analysis of Hydraulic Concrete Vibration Time Based on Convolutional Neural Network by Hao Liu, Chengzhao Liu, Jiake Fu, Chenzhe Ma, Ye Zhang, Yumeng Lei

“…The detection of concrete vibration process video with multiple stages in the actual project shows that the detection error of the system for each state is kept within 1 s, the accuracy is high, which can meet the quality management requirements of the construction process. …”
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Thermal and fluid behavior of nanofluids over a rotating disk: Influence of Darcy–Forchheimer and slip conditions by Mahmmoud M. Syam

“…Understanding nanofluid flow over rotating disks embedded in porous media is crucial for advancing applications in thermal energy systems, microfluidics, and industrial cooling. …”
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Design optimization of pangolin inspired composites for enhanced energy absorption by Iman Karami Fath, Abbas Niknejad, Hadi Zare-Zardini

“…Abstract The demand for lightweight, high energy absorbing materials has increased, especially for high risk applications such as aerospace, transport and nuclear. …”
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Magmatic trees: a method to compare processes between igneous systems by Christy B. Till

“…In addition, one can imagine a future where machine learning removes much of the human error from magmatic process identification, as well as magmatic tree construction, thereby enhancing our ability to identify patterns of magmatic processes.…”
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Differential gender bias in self-predicted performance in medical tests by Adrian Soto-Mota, Andrés Castañeda Prado, María Fernanda González Lara, Laura Jael Ortiz, Pablo Soto-Mota

“…In comparison with women, men had larger overestimation errors about their actual test performance, predicted they would rank higher than their class peers, and predicted higher test scores independently of how difficult they perceived the tested topic to be. …”
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Precise Mechanical Oscillator Design and Calibration for Characterising Sub-Millimetre Movements in mmWave Radar Systems by Felipe Parralejo, Fernando J. Álvarez, José A. Paredes, Fernando J. Aranda, Teodoro Aguilera

“…For many industrial and medical applications, measuring sub-millimetre movements has become crucial, for instance, for the precise guidance of surgical robots. …”
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Robust Controller With Least Mean Square Adaptive Filter for Voltage Source Inverters: Passivity-Based Design by Kenta Koiwa, Taiki Goto, Qingquan Liu, Kang-Zhi Liu, Tadanao Zanma

“…Voltage source inverters (VSIs) are essential for many applications. However, it is challenging to design a controller that enables a VSI to generate a sinusoidal load voltage with no steady-state error regardless of loads. …”
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