A Reference Voltage Loop Operation Based ZQ Calibration Technique for Multi-Load High- Capacity NAND Flash Memory Interface by Jun-Ha Lee, Jun-Eun Park, Dong-Ho Shin, Kang-Yoon Lee

“…In addition, a 2b/Cycle SAR-based ZQ code calculation method has been introduced to increase the calibration efficiency and speed. …”
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Study on the Liquid‐Holding Rate Law of Gas–Water–Foam Three‐Phase Flow in a Wavy Pipe by Wang Wei, Wang Guowei, Wu Zhenhua, Yang Hui, Ma Bin, Wu Jian, Xu Longyu, Liao Ruiquan

“…This issue makes it difficult to predict liquid accumulation points, which affects gas output efficiency, causes pipeline corrosion, and generates natural gas hydrates. …”
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Enhanced Pedestrian Navigation with Wearable IMU: Forward–Backward Navigation and RTS Smoothing Techniques by Yilei Shen, Yiqing Yao, Chenxi Yang, Xiang Xu

“…Thus, in this paper, a novel Forward–Backward navigation and Rauch–Tung–Striebel smoothing (FB-RTS) navigation scheme is proposed. First, to efficiently re-estimate past system state and reduce accumulated navigation error once zero-velocity measurement is available, both the forward and backward integration method and the corresponding error equations are constructed. …”
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On Robustness of the Explanatory Power of Machine Learning Models: Insights From a New Explainable AI Approach Using Sensitivity Analysis by Banamali Panigrahi, Saman Razavi, Lorne E. Doig, Blanchard Cordell, Hoshin V. Gupta, Karsten Liber

“…Unlike many methods for explainable artificial intelligence (XAI), this method (a) accounts for complex multi‐variate distributional properties of data, common in environmental systems, (b) offers a global assessment of the input‐output response surface formed by ML, rather than focusing solely on local regions around existing data points, and (c) is scalable and data‐size independent, ensuring computational efficiency with large data sets. …”
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Research on the Role and Mechanism of Digital Finance in Improving the Performance of Industrial Green Innovation by Haojie Wang

“…The slack-based measure–Malmquist index model (SBM Malmquist) including unexpected output was used to calculate the performance of China’s provincial industrial green innovation from 2011 to 2019, and a systematic general moment method (GMM) with a dynamic panel model was constructed to empirically test the effect and mechanism of digital finance on the performance of industrial green innovation. …”
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Theoretical and Experimental Optical Evaluation and Comparison of Symmetric 2D CPC and V-Trough Collector for Photovoltaic Applications by Damasen Ikwaba Paul

“…The theoretical optical evaluation of the CPC and V-trough collector was carried out using a ray-trace technique while the experimental optical efficiency and solar energy flux distributions were analysed using an isolated cell PV module method. …”
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Comparative assessment of on-farm greenhouse gases emission from male-headed and female-headed rice farms in Babol county (Mazandaran province, Iran) by Hadi Veisi, Anahita Valiollahi, Abdol Majid Mahdavi Damghani, Surror Khoramdel

“…To this end, GHG emissions from male- and female-head rice farms were compared using the carbon input (kg.C.equivalent.ha−1) and output (kg.C.equivalent.ha−1), sustainability indices, and carbon efficiency. …”
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Power distribution and forecasting using a probabilistic and systematic data processing model for renewable resources by Hammad Alnuman, Ghulam Abbas, Amr Yousef

“…Comparing PSPM to current methods, empirical data show that it improves forecast success rate by 20%, increases distribution efficiency by 25%, and reduces analytical latency by 35%. …”
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3DMeshNet: A three-dimensional differential neural network for structured mesh generation by Jiaming Peng, Xinhai Chen, Jie Liu

“…After suitable offline training, 3DMeshNet can efficiently output a three-dimensional structured mesh with a user-defined number of quadrilateral/hexahedral cells through the feed-forward neural prediction. …”
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Deep learning-based semantic segmentation with novel navigation line extraction for autonomous agricultural robots by Chijioke Leonard Nkwocha, Ning Wang

“…Then, we proposed a novel navigation line extraction algorithm based on the Douglas–Peucker algorithm which uses the output mask from the semantic segmentation to extract the centre navigation line for robot guidance. …”
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The Simulation of Mode Control for a Photonic Lantern Adaptive Amplifier by Yuxuan Ze, Pengfei Liu, Hanwei Zhang, Yanyang Hu, Lianchuang Ding, Baozhu Yan, Jiangbin Zhang, Qiong Zhou, Wenguang Liu

“…Optimal parameters, such as the gain fiber length and pumping method, were identified to improve control effectiveness. …”
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Novel Approach to 2D DOA Estimation for Uniform Circular Arrays Using Convolutional Neural Networks by Dong Chen, Younghoon Joo

“…This paper presents a novel efficient high-resolution two-dimensional direction-of-arrival (2D DOA) estimation method for uniform circular arrays (UCA) using convolutional neural networks. …”
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Vision-Language Model-Based Local Interpretable Model-Agnostic Explanations Analysis for Explainable In-Vehicle Controller Area Network Intrusion Detection by Jaeseung Lee, Jehyeok Rew

“…This integration mitigates the challenges of visual-only explanations in traditional XAI and enhances the intuitiveness of IDS outputs. By leveraging the multimodal reasoning capabilities of VLMs, the proposed method bridges the gap between visual and textual interpretability. …”
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Effect of Bearing Support Parameters on the Radial and Angular Deformation of Rotor Shaft Gear Based on CRDRS Support Configuration with Intermediate Bearing Support by Xiaojie Yuan, Xiaoyu Che, Rupeng Zhu, Weifang Chen

“…Deformation of the rotor shaft can affect the meshing performance of the output stage gears in the main gearbox, thereby affecting load transfer efficiency. …”
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Analysis and design of the novel five harmonic peaking Class-EF power amplifier by Ehsan Sepahvand, Akram Sheikhi

“…Abstract This paper presents an analytical design method for the high-efficiency Class-EF $$_{n}$$ power amplifier (PA). …”
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Processor-in-the-Loop validation of direct power control based on fractional-order modified super-twisting algorithm for doubly-fed induction generators by Mourad Yessef, Habib Benbouhenni, Ahmed Lagrioui, Nicu Bizon, Badre Bossoufi, Saad F. Al-Gahtani, Z. M. S. Elbarbary

“…The proposed FOMSTC strategy exhibits simplicity, minimal gain requirements, straightforward implementation in embedded systems, and rapid dynamic response, positioning it as an effective control method. This methodology was utilized in the research to enhance energy quality and reduce the Total Harmonic Distortion (THD) of the system’s output currents, all while limiting DFIG power overshoot. …”
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Constellation Optimization for MIMO VLC System With Signal-Dependent Noise: Receiver-Side Design and Lookup Table Establishment by Jiaqi Wei, Yuan Wang, Nuo Huang, Yan-Yu Zhang, Yi-Jun Zhu, Wenliang Hao, Chen Gong

“…This paper studies the constellation optimization approach for multiple-input multiple-output (MIMO) visible light communication (VLC) systems with signal-dependent noise (SDN). …”
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A Neural Network Model for Intelligent Classification of Distal Radius Fractures Using Statistical Shape Model Extraction Features by Xing‐bo Cai, Ze‐hui Lu, Zhi Peng, Yong‐qing Xu, Jun‐shen Huang, Hao‐tian Luo, Yu Zhao, Zhong‐qi Lou, Zi‐qi Shen, Zhang‐cong Chen, Xiong‐gang Yang, Ying Wu, Sheng Lu

“…Therefore, there is an urgent need for an efficient and accurate method that can both detect and classify different types of distal radius fractures. …”
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Study on the electrocatalytic CO2 reduction performance of covalent organic framework materials based on machine learning by Zhang Xiangying, Wang Sitan

“…In order to accurately predict the catalytic performance of covalent organic framework materials (COFs) for electrocatalytic carbon dioxide and analyze the influencing factors affecting the catalytic effect, this study collected COFs structure data and experimental data from 44 literatures, and used machine learning methods. Six regression models were trained and evaluated with COFs structure data and experimental data as features and Faraday efficiency as output. …”
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Waste heat harness in a thermal energy system using TEGs, and SCO2 brayton cycle driven by renewable sources for electricity and liquid hydrogen Production: Thermo-Economic optimiz... by Amr S. Abouzied, Sarminah Samad, Pradeep Kumar Singh, Ahmed H. Janabi, Mohamed Shaban, Asma Ahmed A. Mohammed, Shoira Formanova, H. Elhosiny Ali, Samah G. Babiker, Abdulrahman M. Alansari

“…A detailed techno-economic and environmental model is utilized to assess the system's performance, concentrating on critical indicators such as second law efficiency, total cost rate, hydrogen production rate, net power output, levelized costs, and the rate of CO2 emission reduction. …”
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