A novel committee machine and reviews of neural network and statistical models for currency exchange rate prediction: An experimental analysis by Trilok Nath Pandey, Alok Kumar Jagadev, Satchidananda Dehuri, Sung-Bae Cho

“…Hence, over the years different types of neural network models along with statistical models are developed to predict the currency exchange rates of different countries with varying parameters. …”
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Enhancing Security of Proof-of-Learning Against Spoofing Attacks Using Feature-Based Model Watermarking by Ozgur Ural, Kenji Yoshigoe

“…The rapid advancement of machine learning (ML) technologies necessitates robust security frameworks to protect the integrity of ML model training processes. Proof-of-Learning (PoL) is a critical method for verifying the computational effort in training ML models, while model watermarking is a strategy for asserting model ownership. …”
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Application of the mathematical modeling of the processes of geofiltration and geomigration at the deposits of mineral waters of IV group of complexity (Kislovodsk deposits of mine... by A. V. Malkov, I. S. Pomelyayko, V. F. Dubogrey, V. V. Khmel

“…On the basis of geological and hydrogeological characteristics of the structure, a three-layer flat-spatial model of geofiltration is proposed, including top layer of pressure-gravity aquifer of Upper Valanginian subhorizon and two pressure ones: Lower Valanginian subhorizon and Tithonian horizon. …”
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Cross‐Attractor Transforms: Improving Forecasts by Learning Optimal Maps Between Dynamical Systems and Imperfect Models by N. Agarwal, D. E. Amrhein, I. Grooms

“…Optimal pre‐ and post‐processing transforms leverage “shocks” and “drifts” in the imperfect model to make more skillful forecasts of the reference system. …”
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Temporal pyramid attention‐based spatiotemporal fusion model for Parkinson's disease diagnosis from gait data by Xiaomin Pei, Huijie Fan, Yandong Tang

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Coupling Soil Erosion and Sediment Transport Processes With the Variable Infiltration Capacity Model (VIC‐SED) for Applications Suitable With Coarse Spatial and Temporal Resolution... by Xianhong Xie, Xu Liang

“…This is achieved by tightly coupling the erosion processes with a hydrologically based Three‐layer Variable Infiltration Capacity (VIC‐3L) land surface model (LSM) and to a multi‐scale routing (MSR) model. …”
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A Lightweight Framework for Rapid Response to Short-Term Forecasting of Wind Farms Using Dual Scale Modeling and Normalized Feature Learning by Yan Chen, Miaolin Yu, Haochong Wei, Huanxing Qi, Yiming Qin, Xiaochun Hu, Rongxing Jiang

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Theoretical modeling of 2,4-dichlorophenoxyacetic acid on acid-treated peanut skin: microscopic analysis via statistical physics treatment by Salah Knani, Ismahene Ben Khemis, Ana Carolina Ferreira Piazzi Fuhr, Nizar Lefi, Safwat A. Mahmoud, Guilherme Luiz Dotto, Abdulaziz Alenazi, Ridha Selmi

“…The adsorption mechanism was interpreted based on statistical physics theory using the homogeneous double-layer model with one energy (HDLM1E). The modeling results indicated that the removal of 2,4-DA molecules occurred through a multi-interactive adsorption mechanism at temperatures of 25, 35, and 45 °C (0.76 < n < 0.99). …”
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The Rapid Transition From Shallow to Precipitating Convection as a Predator–Prey Process by Cristian V. Vraciu, Julien Savre, Maxime Colin

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Research on the Classification of Sun-Dried Wild Ginseng Based on an Improved ResNeXt50 Model by Dongming Li, Zhenkun Zhao, Yingying Yin, Chunxi Zhao

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Luffa–Ni/Al layered double hydroxide bio-nanocomposite for efficient ibuprofen removal from aqueous solution: Kinetic, equilibrium, thermodynamic studies and GEP modeling by Soheil Tavassoli, Afsaneh Mollahosseini, Saeed Damiri, Mehrshad Samadi

“…The highest ibuprofen removal occurred at pH 5, with an adsorption capacity of 44.306 mg/g at 298 K. The Temkin isotherm model, which points to chemisorption as the mechanism, accurately depicted the adsorption process with a high correlation coefficient (R2 = 0.984). …”
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Wind Tunnel Process Mach Number Prediction Based on Modal, Stage, and Intra-Stages Three-Layer Partitioning by Haixuan Yuan, Jin Guo, Wenshan Yu, Luping Zhao

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Revealing the influence of the physical expansion process of Khorram Abad city on changes in surface albedo and boundary layer height by farzaneh ahmadi, Dariush Yarahmadi, Hamid Mirhashemi

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Rheological processes in the slope massifs of the city of Kyiv by Максим Рева, Олександр Лисенко, Дмитро Чомко

“…The considered solution model of the rheological process cannot be solved without the coefficient viscosity of soil. …”
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Analysis of immune characteristics and inflammatory mechanisms in COPD patients: a multi-layered study combining bulk and single-cell transcriptome analysis and machine learning by Changjin Wei, Yongfeng Zhu, Caiming Chen, Feipeng Li, Li Zheng

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Crucial heat damage analysis and optimization of a mid-sized pickup truck based on a deep Gaussian process model by Zebin Zhang, Sisi Liu, Xianzong Meng, Tingting Wang, Shizhao Jing, Chuanrui Wang, Dongchen Qin

“…Based on simulation results, a multi-objective two-layer deep Gaussian process model predicted heat source temperatures. …”
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A Hybrid Adaptive Fusion Deep Learning Model for Fault Diagnosis of Rotating Machinery Under Noisy Conditions by Junyu Ren, Soo Siang Teoh

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Mechanistic Modelling of Coupled UV Energy Penetration and Resin Flow Dynamics in Digital Light Processing (DLP)-Based Microfluidic Chip Printing by Xinhui Wang, Antony Seng Kai Kho, Jinghang Liu, Tianyu Mao, Michael D. Gilchrist, Nan Zhang

“…COMSOL Multiphysics 6.1 simulations incorporating UV light propagation, photopolymerization kinetics, and resin flow dynamics revealed that microchannel over-curing is a result of both energy infiltration through previously cured layers and periodic resin flow induced by the peeling process. …”
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Modeling and Efficiency Analysis of an Immersed Heat Exchanger for Solar-Powered Industrial Heat Processes: A Case Study on Wool Washing by Messaoud Hazmoune, Mohammed Debbache, Mohammed Gmal Osman, Benaoumeur Aour, Cornel Panait, Mohammed Laissaoui, Gheorghe Lazaroiu

“…Numerical simulations were performed using ANSYS CFX v19.2 software with the k-ε turbulence model to evaluate the thermal performance and temperature distribution. …”
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ElHBiAt: Electra Pre-Training Network Hybrid of BiLSTM, the Attention Layer to Aspect-Based Sentiment Analysis by Amin Ghanee Nezhad, Kia Jahanbin, Abolfazl Razzaghi Yamchi

“…In this model, two layers of attention are used to extract the essential aspects of the text, and the deep neural network BiLSMT is used to process the text in a two-way. …”
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