Pilot-Based Codebook Non-Orthogonal Artificial Noise Schemes for Physical Layer Security: Secrecy Capacity Optimization Under Unknown Eavesdropper Channels by Yi Zhang, Yebo Gu, Tao Zhao, Bo Wang

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Effects of special waterproof layer under tourniquet cuff on the incidence of burns and pain intensity and satisfaction of operating room staff in knee arthroscopic surgeries: a randomized clinical trial by Soheila Bakhtiari, Mehdi Teimouri, Nafise Rahimi, Mohammad Hassan Bagheri, Sayyed Yazdan Asadi

“…Abstract Introduction The use of multiple layers of vibril under tourniquet cuffs is common. …”
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Clinical performance of class I cavities restored with bulk fill composite at a 1-year follow-up using the FDI criteria: a randomized clinical trial by Chinni Suneelkumar, Puttaganti Harshala, Koppolu Madhusudhana, Anumula Lavanya, Anirudhan Subha, Sannapureddy Swapna

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Machine Learning-Based Summer Crops Mapping Using Sentinel-1 and Sentinel-2 Images by Saeideh Maleki, Nicolas Baghdadi, Hassan Bazzi, Cassio Fraga Dantas, Dino Ienco, Yasser Nasrallah, Sami Najem

Subjects: “…Random Forest…”
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A prospective comparative study of single-layer versus double-layer uterine closure techniques on cesarean scar formation by Mustafa Raşit Özler, Ragıp Atakan Al

“…Methods Seventy women aged 18–50 years with a history of at least one prior cesarean delivery were randomized into two groups: single-layer non-locking closure (n = 35) and double-layer non-locking closure with surgical refreshing of the incision edges (n = 35). …”
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Design of reliability for layered decoupled virtual nodes by Yangchun LI, Yongbing FAN, Nan CHEN, Tian CHEN

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An Innovative Proposal for Developing a Dynamic Urban Growth Model Through Adaptive Vector Cellular Automata by Ahmet Emir Yakup, Ismail Ercument Ayazli

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Mapping Wetlands with High-Resolution Planet SuperDove Satellite Imagery: An Assessment of Machine Learning Models Across the Diverse Waterscapes of New Zealand by Md. Saiful Islam Khan, Maria C. Vega-Corredor, Matthew D. Wilson

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Random Finite Element Analysis and Random Factor response Mechanism for Geocell-reinforced Soil Retaining Walls by ZHANG Bingbing, SONG Fei

“…Finally, the global sensitivity analysis method was adopted, focusing on revealing the influence laws of key parameters (<italic>K</italic>, <italic>n</italic>, <italic>φ</italic>₀ and <italic>P</italic>_Mt), their coefficients of variation and spatial fluctuation ranges on the deformation characteristics of the retaining wall, and quantitatively analyzing the mapping relationship between each parameter and the deformation response of the structure.Results and Discussions　Through the in-depth analysis of the random field parameters of foundation soil, backfill soil and geocell-reinforced retaining wall, it is revealed that the soil parameters have significant layering characteristics and the trend of change with depth, which is highly consistent with the layering distribution characteristics of the soil in the actual project, and verifies the reliability of the constructed random field model. …”
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Predicting Aboveground Carbon Storage in Different Types of Forests in South Subtropical Regions Using Machine Learning Models by Jiarun Liu, Zihang Yang, Lin Li, Xiaoxue Chu, Shiguang Wei, Juyu Lian

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Optically coupled bilayered disordered system for spatially controllable dual band random lasing and random number generation by Ashim Pramanik, Marco Reale, Laureline Roffi, Simonpietro Agnello, Marco Cannas, Partha Kumbhakar, Pathik Kumbhakar, Alice Sciortino, Fabrizio Messina

“…Random lasers (RLs) are emerging as a new family of partially coherent light sources with favorable characteristics for specific applications. …”
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Improved Resistive Switching Characteristics by O₂ Plasma Treatment in Tri-Layer HfO₂/Al₂O₃/HfO₂ RRAM by Shyh-Jer Huang, Wei-Hsuan Hsieh, Rong-Ming Ko, Zi-Hao Wang, Yan-Kuin Su

Subjects: “…Resistive random access memory…”
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A Hybrid Machine Learning-Based Framework for Data Injection Attack Detection in Smart Grids Using PCA and Stacked Autoencoders by Shahid Tufail, Hasan Iqbal, Mohd Tariq, Arif I. Sarwat

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Enhancing Resistive Switching in AlN-Based Memristors Through Oxidative Al₂O₃ Layer Formation: A Study on Preparation Techniques and Performance Impact by Hongxuan Guo, Jiahao Yao, Siyuan Chen, Chong Qian, Xiangyu Pan, Kuibo Yin, Hao Zhu, Xu Gao, Suidong Wang, Litao Sun

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Antenna azimuth diagnosis based on multi-layer perceptron model by Xiangrong CHEN

“…Antenna azimuth was seen as a key factor in the quality of mobile communications, and its accuracy will directly affect the quality of network optimization.An antenna azimuth diagnosis method was proposed based on multi-layer perceptron.The azimuth was divided into 12 interval classes, each class covered a range of 30°, that was,[0, 30°) was recorded as class 0, …,[330°, 360°) was recorded as class 11.The multi-layer perceptron algorithm was used to identify the range of the antenna azimuth angle and automatically identify the angle range of the antenna azimuth angle, which provided effective data support for the network optimization engineer to determine the actual network coverage problem, and greatly reduced workload and labor cost in verifying antenna performance.Experimental results show that the method can effectively and quickly discriminate the antenna azimuth interval class, and the recognition accuracy reaches 92.6%, which is higher than the classification accuracy of random forest and logistic regression classification algorithms.…”
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Link quality prediction based on random forest by Linlan LIU, Shengrong GAO, Jian SHU

“…Link quality prediction is vital to the upper layer protocol design of wireless sensor networks.Selecting high quality links with the help of link quality prediction mechanisms can improve data transmission reliability and network communication efficiency.The Gaussian mixture model algorithm based on unsupervised clustering was employed to divide the link quality level.Zero-phase component analysis (ZCA) whitening was applied to remove the correlation between samples.The mean and variance of signal to noise ratio,link quality indicator,and received signal strength indicator were taken as the estimation parameters of link quality,and a link quality estimation model was constructed by using a random forest classification algorithm.The random forest regression algorithm was used to build a link quality prediction model,which predicted the link quality level at the next moment.In different scenarios,comparing with exponentially weighted moving average,triangle metric,support vector regression and linear regression prediction models,the proposed prediction model has higher prediction accuracy.…”
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Robust hierarchical federated learning with dual-layer filtering mechanism by Chaoyi Yang, Wei Liang, Yuxiang Chen, Jiahong Xiao, Dacheng He, Tianxiong Liu, Jin Wang, Amr Tolba

“…Compared to existing methods like FedAvg, Krum, Random, and Multi-Krum, the global model accuracy improved by 5.18%, 38.98%, 29.96%, and 6.44%.…”
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Chaotic information metasurface for direct physical-layer secure communication by Jia Wen Xu, Menglin Wei, Lei Zhang, Vincenzo Galdi, Lianlin Li, Tie Jun Cui

“…In this study, we present a novel physical-layer secure communication scheme that relies on an information metasurface whose local reflection properties are dynamically modulated by chaotic patterns. …”
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Multi-Layered Security Framework Combining Steganography and DNA Coding by Bhavya Kallapu, Avinash Nanda Janardhan, Rama Moorthy Hejamadi, Krishnaraj Rao Nandikoor Shrinivas, Saritha, Raghunandan Kemmannu Ramesh, Lubna A. Gabralla

“…Traditional encryption techniques are increasingly vulnerable to evolving cyber threats, making single-layer security mechanisms less effective. This study proposes a multi-layered security approach that integrates cryptographic and steganographic techniques to enhance data protection. …”
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Physical Layer Cyber Resilience Oriented Dynamic Secure Polar Code by Sifan Yao, Yu Dai, Gangtao Han, Zhiqing Tang, Dalong Zhang

“…Security and reliability of information transmission are considered to be two key characteristics from the perspective of physical layer cyber resilience. Consequently, a dynamic secure polar code is proposed in this paper to improve the physical layer resilience of the non-degraded channels, in which a shared key is firstly used as a seed to produce a pseudo-random sequence that is further used to generate a dynamic generator matrix to obfuscate the coding structure. …”
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