Drone-Captured Wildlife Data Encryption: A Hybrid 1D–2D Memory Cellular Automata Scheme with Chaotic Mapping and SHA-256 by Akram Belazi, Héctor Migallón

“…A final layer of 1D MCA, controlled by pseudo-random number generators, ensures comprehensive diffusion and confusion across the image. …”
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Design of underwater acoustic sensor communication systems based on software-defined networks in big data by Jianping Wang, Lijuan Ma, Wei Chen

“…In the data plane, the works include the hardware design of OpenFlow-based virtual switch and the design of the physical layer based on software-defined radio. The hierarchical clustering technology and the node addressing techniques for designing media access control layer are well introduced. …”
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Optimization algorithm of power system line loss management using big data analytics by Yang Li, Danhong Zhang, Ming Tang

“…In response to the abnormal monthly power imbalance rate of 220 kV and 110 KV stations, and the − 3.684% exceeding the − 1% assessment limit, the designed line loss management system service layer does not need to go deep into the bottom layer of the power system. …”
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Mapping clay fraction oxides in Brazil using Earth observation strategy by Jorge Tadeu Fim Rosas, José A.M. Demattê, Nícolas Augusto Rosin, Raul Roberto Poppiel, Nélida E.Q. Silvero, Merilyn Taynara Accorsi Amorim, Heidy S. Rodríguez-Albarracín, Letícia Guadagnin Vogel, Bruno dos Anjos Bartsch, José João Lelis Leal de Souza, Lucas de Carvalho Gomes, Danilo César de Mello

“…The best predictions were observed for Fe2O3 in the 0–20 cm layer (RMSE = 49.8 g.kg−1, RPIQ = 1.82, and R2 = 0.62), while the worst predictions were for SiO2 in the 80–100 cm layer (RMSE = 65.3 g.kg−1, RPIQ = 1.50 and R2 = 0.22). …”
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SIAE-Mediated Loss of Sialic Acid Acetylation Contributes to Ulcerative Colitis by Bo S, Wang X, Qian J, Ma G, Ying Z, Hu D, Hou C, Ma J, Xu L, Yang S

“…This barrier, crucial for intestinal health, depends on complex glycosylation, notably sialic acid modifications. …”
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An Open Graph Dataset Organized by Scales by Ying Zhao, Xianzhe Zou, Xiao Wang, Zhanpeng Yang, Xuan Wang, Xin Zhao, Ning Zhang, Xin Huang, Fangfang Zhou

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CoPaD-Mark: A Coded Parallelizable Deep Learning-Based Scheme for Robust Image Watermarking by Andy M. Ramos, Cecilio Pimentel, Daniel P. B. Chaves

“…The embedding layer employs a parallel structure with convolutional neural networks inspired by the Inception Net, while the extraction layer uses deformable convolutions. …”
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Potential-based thermodynamics with consistent conservative cascade transport for implicit large eddy simulation: PTerodaC³TILES version 1.0 by J. Thuburn

“…<p>A new computational fluid dynamics code for large eddy simulation (LES) of the atmospheric boundary layer and convection is presented and made available. …”
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Improved sliding mode path tracking control for automated guided vehicles with the disturbances compensation by Jun Nie, Xinyu Zhang, Chunyang Sheng, Haixia Wang, Xiao Lu

“…The higher convergence rate of the reaching law can be guaranteed when the system states are outside the boundary layer and the convergence rate progressively decreases to ensure smooth and effective arrival of the state when the system states are inside the boundary layer. …”
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Transfer learning strategies for neural networks: A case study in amine gas treating units by Daniela Galatro, Manoj Machavolu, Gladys Navas

“…In the second neural network-based strategy, fine-tuning was used through a loss cross-entropy function in addition to' freezing' layers. Moreover, we compared our approach against Transfer-LASSO, an approach based on LASSO regression that looks at reducing model complexity while adding sparsity via regularization. …”
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Tensile and Flexural Properties of 3D-Printed Polylactic Acid/Continuous Carbon Fiber Composite by Ali Khalili, Abdolvahed Kami, Vahid Abedini

“…This paper investigated the effects of layer height, print speed, and nozzle temperature on the tensile and flexural characteristics of polylactic acid/continuous carbon fiber (PLA/CCF) composite. …”
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The Assessment of Morphological and Functional Changes in the Detection of the Initial Stage of Primary Glaucoma by N. I. Kurysheva, L. V. Lepeshkina

“…Progressive thinning of the retinal nerve fiber layer (RNFL) and its ganglion cell complex (GCC) were evaluated using SD-OCT. …”
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The Personalized Approach to the Chronic Central Serous Chorioretinopathy Treatment Based on the Navigated Micropulse Laser Technology by P. L. Volodin, A. V. Doga, E. V. Ivanova, V. A. Pismenskaya, Iu. I. Kukharskaya, E. S. Khrisanfova

“…It has been established that in the course of the longstanding duration of the disease irreversible changes in the chorioretinal complex structure occured, thinning of the foveal photoreceptors layer leading to a decrease in the central retinal sensitivity and visual acuity, which substantiate the necessity for early and maximally functional-saving treatment.…”
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An intelligent log-seismic integrated stratigraphic correlation method based on wavelet frequency-division transform and dynamic time warping: A case study from the Lasaxing oilfie... by Mian Lu, Dongmei Cai, Xiandi Fu, Shunguo Cheng, Yu Sun, Pengkun Liu, Yanli Jiao

“…However, conventional data-driven methods that rely solely on log data struggle to construct isochronous stratigraphic frameworks for complex sedimentary environments and multi-source geological settings. …”
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Numerical simulation of hotspot in polyol ester production using microwave-assisted reaction by Nur Atiqah Mohamad Aziz, Hassan Mohamed, Mei Yin Ong, Robiah Yunus, Ming Chiat Law, Hamidah Abd Hamid, Dina Kania, Teuku Meurah Indra Mahlia

“…The complex distribution of electric field and heat transfer in microwave heating causes unfavorable hotspots in a microwave-assisted transesterification process. …”
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Link-State-Aware Proactive Data Delivery in Integrated Satellite–Terrestrial Networks for Multi-Modal Remote Sensing by Ranshu Peng, Chunjiang Bian, Shi Chen, Min Wu

“…A dynamically weighted attention mechanism further adapts modality-specific contributions to enhance cross-modal correlation modeling in complex, time-varying scenarios. To mitigate the curse of dimensionality in high-dimensional action spaces, we introduce a multi-dimensional discretization strategy that decomposes decisions into hierarchical sub-policies, balancing computational efficiency and decision granularity. …”
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Influence of coal macerals on carbonization process and sodium storage behavior by Rundong HE, Hang GUO, Zhongchao SUN, Wencui LI

“…However, the composition of coal is complex, and the mechanism of coal composition on carbon formation and sodium storage behavior is not clear. …”
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A short review on regulation of stability of aqueous suspensions of carbon nanotubes by M. V. Manilo, N. I. Lebovka, S. Barany

“…It is demonstrated that the dispersibility of CNTs is a complex function of the type of surfactant, its concentration and the surfactant/CNTs ratio. …”
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Spatial and temporal variations of soil microbial respiration under native and exotic tree species by Lameck Davie Nyirenda, James Majamanda, Anas Khalif, Mana Kanjanamaneesathian

“…Trees and soil respiration have a complex relationship that is poorly understood, as does the seasonal and spatial variation that naturally occurs in them. …”
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Predicting Readmission Among High-Risk Discharged Patients Using a Machine Learning Model With Nursing Data: Retrospective Study by Eui Geum Oh, Sunyoung Oh, Seunghyeon Cho, Mir Moon

“…The 6 algorithms of logistic regression, random forest, decision tree, XGBoost, CatBoost, and multiperceptron layer were employed to develop predictive models. …”
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