A COMBINED METHOD OF 1D AND 2D RESISTIVITY FOR GROUNDWATER LAYER ESTIMATION AT A FARMING AREA IN REJOMULYO VILLAGE by Risky Martin Antosia, Muhammad Ramdan

“…The 1D outcome correlates to the 2D data processing result to produce a subsurface lithology model. …”
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VECTOR DATA DIFFERENCES IDENTIFICATION IN THE THEMATIC PROCESSING OF SPACE IMAGES by A. A. Zalatoi, A. V. Urbanovich

“…Research and development is done by mathematical modeling of the task in MATLAB. The article provides developed method for solving the task and results of its application for finding differences between two vector data packages, obtained from the target information of remote sensing of the Earth, and/or vector layers of digital district map. …”
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The Effects of Forming Parameters on Conical Ring Rolling Process by Wen Meng, Guoqun Zhao, Yanjin Guan

“…The reasonable value range of mandrel feed rate in rolling process was deduced. A coupled thermomechanical 3D FE model of RCRRCDS process was established. …”
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DETERMINATION OF HEAT TRANSFER COEFFICIENTS IN CHANNELS WITH INTENSIFIERS PROCESS by A. G. Laptev, M. M. Basharov, T. M. Farakhov

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An improved synergistic dual-layer feature selection algorithm with two type classifier for efficient intrusion detection in IoT environment by G Logeswari, K Thangaramya, M Selvi, J. Deepika Roselind

“…A robust feature selection subsystem, employing Synergistic Dual-Layer Feature Selection (SDFC) algorithm, combines statistical methods, such as mutual information and variance thresholding, with advanced model-based techniques, including Support Vector Machine (SVM) with Recursive Feature Elimination (RFE) and Particle Swarm Optimization (PSO) are employed to identify the most relevant features. …”
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An approach to process parameter optimisation for beta titanium alloys by Rudolph Sabrina Mary-Ann, Dicks James Anthony, Becker Thorsten Hermann

“…Using the volumetric energy density – a function of laser power, scan speed, hatch spacing, and layer thickness – to inform the design space, a means to achieve optimal process parameters which minimise porosity content was explored. …”
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Burned Area Detection in the Eastern Canadian Boreal Forest Using a Multi-Layer Perceptron and MODIS-Derived Features by Hadi Mahmoudi Meimand, Jiaxin Chen, Daniel Kneeshaw, Mohammadreza Bakhtyari, Changhui Peng

“…Despite the computational demands of processing large-scale remote sensing data at 250 m resolution, the MLP modeling approach that we used provides an efficient, effective, and scalable solution for long-term burned area detection. …”
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Targeted kinetic strategy for improving the thermal conductivity of epoxy composite containing percolating multi-layer graphene oxide chains by T. Zhou, H. Koga, M. Nogi, T. Sugahara, S. Nagao, T. T. Nge, K. Suganuma, H-W. Cui, F. Liu, Y. Nishina

“…A modified Shrinking Core Model customized for the special layered-structure of MGO sheet was proposed to understand the resistance variation during the intercalative epoxy-MGO reaction. …”
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Impacts of China’s graphite export structure adjustments on its industrial international competitiveness: A multi-layer network perspective by LI Bingyan, JIANG Meihui

“…[Methods] This study constructed a trade propagation model for graphite products based on multi-layer network theory to analyze the cascading impact of changes in the graphite export structure within the multi-layer trade network of graphite raw materials, primary products, and deep-processed products. …”
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Product and Process Data Structure for Automated Battery Disassembly by Domenic Klohs, Moritz Frieges, Jonas Gorsch, Philip Ellmann, Heiner Hans Heimes, Achim Kampker

“…For this purpose, the disassembly sequence and depth of an Audi e-tron battery pack are first identified using a priority matrix and converted into a product and process structure. Definitions for product- and process-related elements are established, and a generalized process model is developed, which is finally converted into a data structure model approach. …”
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Research on the Condition Assessment Method of Mechanical Seal Based on Fusing Multi-Graph Neural Networks From Decision Layer by Xiaoran Zhu, Binhui Wang, Junchao Chen, Zipeng Li

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Protocol-Agnostic and Packet-Based Intrusion Detection Using a Multi-Layer Deep-Learning Architecture at the Network Edge by Rodolphe Picot, Felipe Gohring de Magalhaes, Ahmad Shahnejat Bushehri, Maroua Ben Atti, Gabriela Nicolescu, Alejandro Quintero

“…This paper presents a novel approach to ID in network traffic within edge computing environments using a Neural Network (NN) model. The proposed model is designed to align with the layered structure of network packets and has been trained and evaluated on the widely used CIC-IDS2017 cybersecurity dataset. …”
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In Situ Frost-Heaving Characteristics of Shallow Layer of Soil Slopes in Intermittently Frozen Region Based on PFC3D by Yunbin Ke, Yun Que, Yuanshuai Fu, Zhenliang Jiang, Said Easa, Yanyu Chen

“…The in situ frost-heaving (FH) process and characteristics of the shallow layer of a residual soil slope in the intermittently frozen zone were simulated by a modified three-dimensional particle flow code (PFC3D) model, of which the mesoscopic parameters of soil and ice particles were calibrated through the indoor experiments. …”
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Deforestation Risk Zoning Using Analytical Hierarchy Process by Hiva Mahmoudi, Mahtab Pir Bavaghar, Parviz Fatehi

“…After multiplying the weights of each criteria by the standardized weight of each layer, standard weighted layers were created. Then the standardized maps of the criteria were overlayed and integrated. …”
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Brain age prediction from MRI images based on a convolutional neural network with MRMR feature selection layer by Mustafa Hatem Al Ghariri, Seyed Omid Shahdi

“…The system employs a regression layer as the final stage to predict brain age by utilizing the selected characteristics. …”
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Boundary layer formation over a stretchable cylinder in a viscoelastic fluid with partial slip and viscous dissipation effects by Mhamed Benaissa, M.Y. Rafiq, H. Shahzad, Hafedh Mahmoud Zayani, Nidhal Ben Khedher

“…This study investigates the boundary layer flow of an electrically conducting Jeffrey fluid over a stretching cylinder. …”
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A Flow Shop Scheduling Method Based on Dual BP Neural Networks with Multi-Layer Topology Feature Parameters by Hui Mu, Zinuo Wang, Jiaqi Chen, Guoqiang Zhang, Shaocun Wang, Fuqiang Zhang

“…Based on the process logic relationships between intra-layer and inter-layer elements, an operation task–logistics–resource supernetwork model is established. …”
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Biodegradable Double-Layer Hydrogels with Sequential Drug Release for Multi-Phase Collaborative Regulation in Scar-Free Wound Healing by Xinyu Zhang, Qianhe Zu, Chunlin Deng, Xin Gao, Hongxu Liu, Yi Jin, Xinjian Yang, Enjun Wang

“…In a rat model of full-thickness skin defect, treatment with a double-layer hydrogel drug delivery system accelerated the wound closure, improved scar quality, and promoted the formation of hair follicles. …”
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Classification of periodontitis stage and grade using natural language processing techniques. by Nazila Ameli, Tahereh Firoozi, Monica Gibson, Hollis Lai

“…After data preprocessing, we added a classification layer on top of the pre-trained BERT model to classify the clinical notes into their corresponding stage and grades. …”
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The study of neon retention and release behaviour from Be layers deposited under distinct temperature, pressure and ion energy conditions by P. Dinca, C. Staicu, B. Butoi, B.G. Solomonea, A. Anghel, O.G. Pompilian, G. Bulai, V. Tiron

“…Metallic Be crystalline phase is observed for layers deposited at 473 K and 573 K, while, for the lowest substrate temperature (340 K), the structure of the Be-Ne layers was found to be amorphous, regardless of the working gas pressure and/or ion energy used during the deposition process. …”
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