HECS4MQTT: A Multi-Layer Security Framework for Lightweight and Robust Encryption in Healthcare IoT Communications by Saud Alharbi, Wasan Awad, David Bell

“…Unlike existing solutions that either impose high computational overhead at the edge or rely solely on transport-layer protection, HECS4MQTT introduces a layered encryption strategy that decouples edge and cloud security requirements. …”
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Prediction of Heat Transfer Characteristics of the Carbonized Layer of Resin-Based Ablative Material Based on the Finite Element Method by Junjie Gao, Jijun Yu, Haitao Han, Daiying Deng

“…The microstructure of the carbonized layer of the low-density resin-based ablative thermal insulation material is observed, and multiscale unit cell models are established for the residual carbon deposition mode of a carbonization process, and then the thermal conductivity coefficient is predicted using the finite element method. …”
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The TDGL Module: A Fast Multi-Scale Vision Sensor Based on a Transformation Dilated Grouped Layer by Leilei Xie, Fenghua Zhu, Zhixue Wang

“…These improvements enable the network to distinguish features at different scales effectively while optimizing spatial information processing and reducing computational costs. To validate its effectiveness, we integrate the TDGL module into the backbone of several YOLO models, forming the TDGL Net feature extractor. …”
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A novel hybrid layer-based encoder–decoder framework for 3D segmentation in congenital heart disease by Yaoxi Zhu, Hongbo Li, Bingxin Cao, Kun Huang, Jinping Liu

“…The model incorporates a global volume mixing module and a local volume-based multihead attention module, which uses a self-attention mechanism to explicitly capture the local and global dependencies of the 3D image segmentation process. …”
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Advanced Supply Chain Management Using Adaptive Serial Cascaded Autoencoder with LSTM and Multi-Layered Perceptron Framework by Aniruddha Deka, Parag Jyoti Das, Manob Jyoti Saikia

“…Additionally, Sandpiper Galactic Swarm Optimization (SGSO) is employed to optimize the deep learning model’s performance. The SGSO-ASCALSMLP-based financial risk prediction model demonstrated superior accuracy compared to traditional methods. …”
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Using Convolution Neural Network methods for the ultrasound characterization of porosity across carbon fiber reinforced polymer layers by Mihai-Mircea Vasilache, Iryna Tretiak, Rostand B. Tayong, Vladan Velisavljevic

“…The present work aims to overcome these challenges by developing a CNN-based approach to improve the detection and assessment of porosity across CFRP layers. The study relies on the development of a numerical model and the acquisition of real data from fabricated CFRP samples to successfully apply CNN techniques to evaluate porosity. …”
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Optimization of layering technique and secondary structure analysis during the formulation of nanoparticles containing lysozyme by quality by design approach. by Katalin Kristó, Reihaneh Manteghi, Yousif H-E Y Ibrahim, Ditta Ungor, Edit Csapó, Dániel Berkesi, Zoltán Kónya, Ildikó Csóka

“…In our study, core-shell nanoparticles containing lysozyme were formulated with precipitation and layering self-assembly. Factorial design (DoE) was applied by setting the process parameters during the preparation with Quality by Design (QbD) approach. …”
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Triple-Layer Genetic Algorithm (3LGA) for Project Scheduling and Material Ordering Problem with Limited Storage Space by Suphawut Malaikrisanachalee, Narongrit Wongwai, Pongpan Promchun

“…To solve this NP-hard problem, a triple-layer genetic algorithm (3LGA) is proposed, comprising three layers: space allocation, project scheduling, and material ordering. …”
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Experimental Study on Seismic Response of Buried Oil and Gas Pipeline Soil Layers under Lateral Multipoint Excitation by Jianbo Dai, Li Wang, Chengtao Hu, Guidi Zhang

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Distinct changes in carbon, nitrogen, and phosphorus cycling in the litter layer across two contrasting forest–tundra ecotones by F. Hagedorn, J. Imboden, P. A. Moiseev, D. Gao, D. Gao, E. Frossard, P. Schleppi, D. Christen, K. Gavazov, J. Fetzer, J. Fetzer

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Improved food recognition using a refined ResNet50 architecture with improved fully connected layers by Pouya Bohlol, Soleiman Hosseinpour, Mahmoud Soltani Firouz

“…Response time and training time of this architecture compared to other algorithms were confidential; the training process and response time were 5.30 h and 1.2 s. ResNet50 with a specific fully connected layer powerfully could complete tasks with high accuracy and the least time.…”
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The low-latitude sodium layer: comparative data from lidar observations at Hainan, China and São Paulo, Brazil by Fang Wu, Jing Jiao, GuoTao Yang, LiFang Du, ZhengKuan Liu, HaoRan Zheng, JiXin Guo, ShaoHua Gong, YaJun Zhu

“…Metallic sodium detected by lidar can yield clues to dynamic and chemical processes in these spatial layers above the Earth’s atmosphere. …”
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Numerical Design and Optimization of High Performance Langasite and Hetero-Acoustic Layer-Based Surface Acoustic Wave Device by Minglong Deng, Jinkai Chen, Jikai Zhang, Weilun Xie, Hao Jin, Weipeng Xuan, Shurong Dong, Jikui Luo

“…Based on the finite element method (FEM) and coupling-of-model (COM) combined simulation, a systematic numerical investigation was conducted to find the optimal materials and structural parameters considering the viability of an actual fabricating process. …”
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Propulsion curve analysis and optimisation of biomimetic pectoral fin with three degree of freedom based on multi-layer perception by Zonggang Li, Bin Li, Guangqing Xia, Huifeng Kang

“…Once again, a propulsion curve optimisation model is established based on multi-layer perception(MLP), which uses the hydrodynamic parameters data set as input. …”
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Automated grading using natural language processing and semantic analysis by Ahmad Ayaan, Kok-Why Ng

“…Through extensive literature review, we examine the advantages and disadvantages of keyword-centric techniques, NLP-based systems, and hybrid models. We implement a novel NLP-based automatic grading system that combines multiple similarity measures with semantic analysis using TensorFlow's Universal Sentence Encoder. …”
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ANALYSIS OF THE EFFECT OF LAYER THICKNESS ON SURFACE ROUGHNESS OF PLA PRINTED PRODUCTS USING FDM TECHNOLOGY FOR THE MANUFACTURING INDUSTRY by Nurhidayanti, Lukmanul Hakim Arma, Rusdi Nur

“…These results underline the important role of layer thickness in optimizing the surface finish and structural integrity of 3D printed components in additive manufacturing processes…”
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Macro-Mesoscopic Failure Mechanism Based on a Direct Shear Test of a Cemented Sand and Gravel Layer by Long Qian, Xingwen Guo, Qinghui Liu, Xin Cai, Xiaochuan Zhang

“…In order to explore the influence of different layer treatment methods on the macro- and meso-mechanical properties of cemented sand and gravel (CSG), in this paper, the shear behavior of CSG material was simulated by a three-dimensional particle flow program (PFC3D) based on the results of direct shear test in the laboratory. …”
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Permafrost–wildfire interactions: active layer thickness estimates for paired burned and unburned sites in northern high latitudes by A. C. Talucci, M. M. Loranty, J. E. Holloway, B. M. Rogers, H. D. Alexander, N. Baillargeon, J. L. Baltzer, L. T. Berner, A. Breen, L. Brodt, B. Buma, B. Buma, J. Dean, C. J. F. Delcourt, L. R. Diaz, C. M. Dieleman, T. A. Douglas, G. V. Frost, B. V. Gaglioti, R. E. Hewitt, T. Hollingsworth, T. Hollingsworth, M. T. Jorgenson, M. J. Lara, R. A. Loehman, M. C. Mack, K. L. Manies, C. Minions, S. M. Natali, J. A. O'Donnell, D. Olefeldt, A. K. Paulson, A. V. Rocha, L. B. Saperstein, T. A. Shestakova, T. A. Shestakova, T. A. Shestakova, S. Sistla, O. Sizov, A. Soromotin, M. R. Turetsky, S. Veraverbeke, M. A. Walvoord

“…This dataset can be used to address understudied research areas, particularly algorithm development, calibration, and validation for evolving process-based models as well as extrapolating across space and time, which could elucidate permafrost–wildfire interactions under accelerated warming across the high-northern-latitude permafrost zone. …”
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Mechanism and quantitative traceability of anomalous outflow of unloaded gas from protective layer mining under complex tectonics by Xuexi CHEN, Xingyu CHEN, Jiaying HU, Aitao ZHOU, Jian XIAO, Jihong SUN, Zhilong YAN

“…This study takes the 21313 working face of Xiangshan Coal Mine as the research object, and realizes the fine inversion of gas geology of the 21512 working face based on the numerical modeling of geostatistics. By coupling simulation analysis of FLAC3D-COMSOL under complex structural stress, the mechanical evolution law and stress relief and permeability enhancement mechanism of protective layer mining are studied. …”
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THE INFLUENCE OF THE REINFORCING PROCESS ON THE DISCRETE BASIS OF PAVEMENT DEFLECTION by S. A. Matveev, E. A. Martynov, N. N. Litvinov

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