Research on Heat Transfer Process of the Quick Freezing of the Fresh Unripe Maize and Freezing Time by 曲春民, 孙勇, 陈忠海, 冀卫兴

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Neural models in diagnostics of the financial result of housing and utility enterprises by I. P. Kurochkina, I. I. Kalinin, L. A. Mamatova, E. B. Shuvalova

“…The  neural network  modeling methodology allows you to create models that have  several advantages:  learning ability  (they  adapt  to various  changes);  universality  (able  to solve a wide  range of data analysis and processing tasks);  speed (process various  data  in  parallel  mode);  ease  of use (easy  to operate  after training);  fault  tolerance  (resistant  to local  damage  to the  neural network  structure and external  noise).One of the main  tasks that neural networks  successfully solve is the problem of classification  – the assignment  of the sample  to one or several predefined classes. …”
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Prediction of Red Mud Bound-Soda Losses in Bayer Process Using Neural Networks by M. Mahmoudian, A. Ghaemi, H. Hashemabadi

“…In the Bayer process, the reaction of silica in bauxite with caustic soda causes the loss of great amount of NaOH. …”
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Comprehensive Analysis of Stability of Coal Seam Composite Roof Based on Analytic Hierarchy Process by Xianyu Xiong, Jun Dai, Xin Wang

“…Based on a simplified model of the composite roof structure, simulation test, analytic hierarchy process (AHP), and Matlab, programs are employed to comprehensively analyze the structural stability of roofs. …”
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Enhanced Performance of the Composite of FeMgAl-Layered Double Hydroxide and Rice Husk Biochar to Adsorb Heavy Metal Ions of Lead and Cadmium in Aqueous Solutions by M. T. Amin, A. A. Alazba, M. Shafiq, A. A. Khan

“…The layered double hydroxide (LDH) of FeMgAl and its composite with the rice husk biochar (FeMgAl/RHB) was tried for the first time for removing heavy metal ions of lead (Pb2+) and cadmium (Cd2+) in batch tests. …”
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Effect of ultrasonic surface rolling processing on surface integrity and mechanical properties of ZL205A alloy by Hui-Hu Lu, Jian-Shan Han, Guang Li, Yi-Dong Zhang, Ling-Yun Du, Yan-Lan Li, Da-Hui Chen

“…Comprehensive characterization demonstrates that USRP treatment significantly enhances surface quality, producing an ultra-smooth surface with a minimum roughness (Ra) of 0.08 μm while simultaneously increasing surface microhardness to 168.10 HV and introducing compressive residual stresses of −128.3 MPa. Empirical models were established to correlate microhardness and surface roughness with USRP processing parameters. …”
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Transcriptional regulation as a dose-dependent process: insights from transcription factor tuning by Gemma Noviello

“…At the mathematical level, dose-dependent processes can be modelled by fitting dose–response curves, for istance, employing Hill-type equations. …”
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Refining Graduation Classification Accuracy with Synergistic Deep Learning Models by Son Nguyen Thi Kim, Quynh Nguyen Huu, Minh Bui Tuan

“…The integration of Adaptive Layer Normalization (AdaLN) in the Transformer also helps stabilize the learning process and minimize overfitting. …”
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SUBHORIZONTAL GEODYNAMIC ACTIVE ZONES AT THE PLATFORMS - METHODS OF IDENTIFICATION AND EVALUATION by V. M. Makeev, E. A. Karfidova, I. V. Korobova

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The study of water saturation process of dolomite core under atmospheric pressure by MRI method by P.P. Kobchikova, M.M. Doroginitskii, A.V. Fattakhov, V.E. Kosarev, V.M. Murzakaev

“…Two stages have been allocated in the saturation process. A rapid growth (up to 5 min) of the fluid content in the near-surface core layer (~ 0.5 cm) to the maximum saturation has been observed at the first “hydrodynamic” stage of the process. …”
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The effect of mechanical properties on polymer deformation and flow suspension in the Selective Laser Sintering process by Rihab Rihab Belgada

“…Among the various additive manufacturing processes, there is selective laser sintering, with the use of a high-power laser that sinters the small particles of polymer powder and turn them into a solid structure, from a 3D model, nowadays SLS additive manufacturing has become the best choice for the industry, especially for polymer materials, SLS ensures high productivity and well-honed materials at low cost. …”
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Characterization and Analysis of Ultrathin CIGS Films and Solar Cells Deposited by 3-Stage Process by Grace Rajan, Krishna Aryal, Shankar Karki, Puruswottam Aryal, Robert W. Collins, Sylvain Marsillac

“…In view of the large-scale utilization of Cu(In,Ga)Se2 (CIGS) solar cells for photovoltaic application, it is of interest not only to enhance the conversion efficiency but also to reduce the thickness of the CIGS absorber layer in order to reduce the cost and improve the solar cell manufacturing throughput. …”
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Thermal simulation for enhanced control in innovative ironing processes on 3D-printed components by Andrea Montalti, Alessandro Ghini, Gian Maria Santi, Alfredo Liverani

“…The simulations reliably model the tool's performance, providing a solid foundation for precise process parameter calibration while minimising reliance on experimental testing. …”
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Dynamic Simulation and Characteristic Analysis on Freezing Process in Ballast Tanks of Polar LNG Carriers by Xu Bai, Cao Xu, Daolei Wu

“…A numerical simulation model of the freezing process within the ballast tank is established. …”
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Reduction of Fuel Consumption Normal in Regenerative Furnaces ith Moving and Blown-Through Layer while Producing Lime from CaCO₃ by V. А. Sednin, A. P. Nesenchuk, A. G. Kozhevnikov, I. V. Melnikov

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Triadic balance and network evolution in predictive models of signed networks by Hsuan-Wei Lee, Pei-Chin Lu, Hsiang-Chuan Sha, Hsini Huang

“…To address the complexity of multi-layer networks derived from signed networks, we modify the temporal exponential random graph model framework. …”
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ANN-based two hidden layers computational procedure for analysis of heat transport dynamics in polymer-based trihybrid Carreau nanofluid flow over needle geometry by Adil Darvesh, Fethi Mohamed Maiz, Basma Souayeh, Luis Jaime Collantes Santisteban, Hakim AL. Garalleh, Afnan Al Agha, Lucerito Katherine Ortiz García, Nicole Anarella Sánchez-Miranda

“…In addition, implementing advance ANN-based computational procedures such as multi layers neural networks (MLNNs) provide valuable aid in unmatched capability for capturing the high complexity of heat transfer in fluid flow problems. …”
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Investigation of the effect of turbulence models for CFD simulations of dynamic airfoils by Sinem Keskin, Mustafa Serdar Genç

“…The study found that the SST model exhibited inviscid flow characteristics, while the SST with intermittency and Transition SST models captured the boundary layer behavior more effectively, including the separation and reattachment processes. …”
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Evaluation of Machine Learning Models for Enhancing Sustainability in Additive Manufacturing by Waqar Shehbaz, Qingjin Peng

“…Additive manufacturing (AM) presents significant opportunities for advancing sustainability through optimized process control and material utilization. This research investigates the application of machine learning (ML) models to directly associate AM process parameters with sustainability metrics, which is often a challenge by experimental methods alone. …”
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Digital Plasmonic Absorption Modulator Exploiting Epsilon-Near-Zero in Transparent Conducting Oxides by U. Koch, C. Hoessbacher, J. Niegemann, C. Hafner, J. Leuthold

“…The digital modulation characteristic originates from the fact that the nonlinear switching is, to a large extent, performed in the ENZ layer. The ENZ layer, however, arises from carrier accumulation in the TCO and is confined to a relatively thin layer with a characteristic dimension that does not change upon applying a higher voltage. …”
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