Two-Layer Security for Image Encryption: A Switched System Approach by Uyen L. P. Nguyen, Long Tonthat, Vo-Tan Phuoc, Lap Luat Nguyen

“…Also, from this switched system, a random key matrix will be generated while encrypting in the first layer. …”
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IDE-SVM algorithm and it's usage in physical layer security method for IoT by WANG Qiang, ZHU Chenming, PAN Su, QIN Yuxi

“…In this paper, an improved differential evolutionary algorithm is proposed to obtain a DE algorithm with faster convergence and higher accuracy by using the circular arc function for adaptive control of the variance scaling factor F and the crossover probability factor R, combining with the random newborn individual replacement operation. Based on this, an IDE-SVM IoT physical layer security method based on IDE-SVM is proposed. …”
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An Approach to Trustworthy Article Ranking by NLP and Multi-Layered Analysis and Optimization by Chenhao Li, Jiyin Zhang, Weilin Chen, Xiaogang Ma

“…To address this issue, we propose a three-layer ranking system that integrates natural language processing and machine learning techniques for relevance and trust assessment. …”
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Prediction of respiratory diseases based on random forest model by Xiaotong Yang, Xiaotong Yang, Yi Li, Yi Li, Lang Liu, Lang Liu, Zengliang Zang, Zengliang Zang

“…The results indicate the following: (1) From 2013 to 2019, the number of medical visits exhibited seasonal fluctuations, with a significant decline observed in 2017, which may be directly related to adjustments in hospital policies. (2) Among the meteorological factors, average temperature, relative humidity, precipitation, and ozone concentration significantly influenced the variation in medical visits, while wind speed, precipitation amount, and boundary layer height were of lesser importance. Furthermore, different linear relationships exist among the meteorological factors; specifically, meteorological factors show a negative correlation with pollutant elements, and there is a strong correlation among the pollutant factors. (3) When the number of medical visits ranged from 50 to 200, the predictions made by the random forest model closely matched the actual values, demonstrating strong predictive performance and the ability to effectively forecast daily variations in medical visits over extended periods, thus exhibiting good stability and generalization capability. (4) However, since the random forest model relies on a large amount of data for model validation, it has limitations in capturing extreme variations in medical visit numbers. …”
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Superconductivity in the Parent Infinite-Layer Nickelate NdNiO_{2} by C. T. Parzyck, Y. Wu, L. Bhatt, M. Kang, Z. Arthur, T. M. Pedersen, R. Sutarto, S. Fan, J. Pelliciari, V. Bisogni, G. Herranz, A. B. Georgescu, D. G. Hawthorn, L. F. Kourkoutis, D. A. Muller, D. G. Schlom, K. M. Shen

“…Another possible hypothesis is that the parent materials can be hole doped from randomly dispersed apical oxygen atoms, which would suggest an alternative pathway for achieving superconductivity.…”
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The Effect of Sumac Supplementation on Egg Yield and Egg Quality in Layer Quails by Besime DOĞAN DAŞ, Nurcan KIRAR, Osman BİLAL, Aydın DAŞ, Mehmet AVCI, Faruk BOZKAYA, Tuncay TUFAN

“… This study was carried out to determine the effect of adding different amounts of sumac to layer quail diets on egg production and some egg quality characteristics. …”
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Beyond encryption: Exploring the potential of physical layer security in UAV networks by Fang Xu, Sajed Ahmad, Muhammad Naveed khan, Manzoor Ahmed, Salman Raza, Feroz Khan, Yi Ma, Wali Ullah Khan

“…UAVs benefit from dominant line-of-sight communication links but are more susceptible to adversary eavesdropping attacks. Since upper-layer cryptography methods may be insufficient, physical-layer security (PLS) is an attractive alternative. …”
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Effect of smear layer removal agents on the microhardness and roughness of radicular dentin by Hosea Lalrin Muana, Mohannad Nassar, Ahmad Dargham, Noriko Hiraishi, Junji Tagami

“…Purpose: To evaluate the effect of phytic acid (IP6) on the surface roughness and microhardness of human root canal dentin and compare it to other smear layer removal agents. Materials and methods: Fifty extracted human maxillary incisors were sectioned longitudinally into a total of 100 specimens followed by embedding in auto-polymerizing acrylic resin. …”
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Enhancing Physical Layer Security in RIS-Aided HAPS for Non-Terrestrial Networks by Hanieh Memarian, S. Mohammad Razavizadeh, Ali Kuhestani

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Underwater vessel sound recognition based on multi-layer feature and attention mechanism by Wei Wei, Jing Li, Yucheng Han, Lili Zhang, Ning Cui, Pei Yu, Hongxin Tan, Xudong Yang, Kang Yang

“…The mechanism of feature fusion is also introduced to extract multi-layer features to improve the feature representation capability. …”
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Copula-Driven Learning Techniques for Physical Layer Authentication Using Multimodal Data by Sahana Srikanth, Sanjeev Gurugopinath, Sami Muhaidat

“…In this paper, we present a study on copula-driven learning techniques for physical layer authentication (PLA) in wireless communication, using data from multiple modalities. …”
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Evaluating Security Anomalies by Classifying Traffic Using a Multi-Layered Model by Mohammadreza Samadzadeh, Najmeh Farajipour Ghohroud

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Maximizing theoretical and practical storage capacity in single-layer feedforward neural networks by Zane Z. Chou, Jean-Marie C. Bouteiller, Jean-Marie C. Bouteiller, Jean-Marie C. Bouteiller, Jean-Marie C. Bouteiller

“…In this study, we characterize the theoretical maximum memory capacity of single-layer feedforward networks as a function of these parameters. …”
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Advanced Leaf Classification Using Multi-Layer Perceptron for Smart Crop Management by Sara Mumtaz, Mohammed Alshehri, Yahya AlQahtani, Abdulmonem Alshahrani, Bayan Alabdullah, Haifa F. Alhasson, Hui Liu

“…Then, to ensure accurate border identification, Conditional Random Fields (CRF) are used for segmentation. To extract features, complex texture and shape details are captured using Local Ternary Patterns (LTP), KAZE, and Histogram of Oriented Gradients (HOG). …”
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Production Elasticity of Layer Farming During the COVID-19 Pandemic in Blitar District by Gunawan Adi Santoso, Budi Hartono, Umi Wisaptiningsih Suwandi

“…The results of the study indicate that 1) the population of laying hens and HDP significantly affected the production of layer farming businesses, along with the cost of vaccines and medications in the Blitar District. 2) The population of layers, mortality rates, electricity costs, HDP, and total labor demonstrated elasticity with respect to the production of layer farms. …”
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Optical and acoustic plasmons in the layered material Sr2RuO4 by J. Schultz, A. Lubk, F. Jerzembeck, N. Kikugawa, M. Knupfer, D. Wolf, B. Büchner, J. Fink

“…Using a model for the Coulomb interaction of the charges in a layered system, it is possible to describe the range of optical plasmon excitations at high energies in a mean-field random phase approximation without taking correlation effects into account. …”
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Drought Detection in Satellite Imagery: A Layered Ensemble Machine Learning Approach by Muhammad Owais Raza, Naeem Ahmed Mahoto, Mana Saleh Al Reshan, Ali Alqazzaz, Adel Rajab, Asadullah Shaikh

“…The proposed approach combines conventional machine learning algorithms (Support Vector Machine (SVM), Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), Naive Bayes (NB), and k-Nearest Neighbor (k-NN)) with ensemble methods (Bagging and Voting) in a layered fashion for detecting drought from satellite imagery. …”
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Integrated framework for assessment and spatial prediction of humus layer properties of forest soils by Felix Thomas, Carina Becker, Rainer Petzold, Karsten Schmidt, Thomas Scholten, Ulrike Werban

“…We tested the developed framework in a case study on a forest site in Saxony, investigating C/N ratio, pH value, cation exchange capacity and base saturation. Random Forest model calibration for spatial prediction achieved R2 > 0.9 for all investigated humus layer properties. …”
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A Survey on Multipacket Reception for Wireless Random Access Networks by Jia-Liang Lu, Wei Shu, Min-You Wu

“…Indeed, MPR approaches have been applied in modern wireless mobile systems but the focus of this paper is to discuss MPR in random access wireless networks. Using MPR in such multihop environments calls for new adaptation on protocols, especially a cross-layer approach. …”
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Estimation of equivalent stresses and equivalents of the fatigue test programs of airframe composite elements by V. E. Strizhius

Subjects: “…layered composites…”
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