Modeling the Higher Heating Value of Spanish Biomass via Neural Networks and Analytical Equations by Anbarasan Jayapal, Fernando Ordonez Morales, Muhammad Ishtiaq, Se Yun Kim, Nagireddy Gari Subba Reddy

“…The optimized ANN achieved strong predictive accuracy (validation R² ≈ 0.81; mean squared error ≈ 1.33 MJ/kg; MAE ≈ 0.77 MJ/kg), representing a substantial improvement over 54 analytical models despite the known complexity and variability of biomass composition. …”
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METODOLOGIA DE PREVISÃO EM TEMPO REAL DO PCI (PODER CALORÍFICO INFERIOR) BASEADO NA REGRESSÃO DE POISSON PARA APLICAÇÃO EM SISTEMAS DE GÁS COMBUSTÍVEL DE PLANTAS PETROQUÍMICAS... by Lea S. dos Santos, Rafael P. Soares

“…The approach combines statistical tools and phenomenological concepts to optimize energy consumption in thermal cracking furnaces. Thirty-two laboratory samples were used to analyze the gas composition, density, and LHV. …”
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Heat Treatment-Driven Structural and Morphological Transformation Under Non-Parametric Tests on Metal–Ceramic-Sputtered Coatings by Federico Gamboa-Soto, Roberto Bautista-García, Diana I. Llanes-Gil López, Juan E. Bermea, René Tinoco Mendiola, Sion F. Olive-Méndez, Andrés González-Hernández

“…The average crystallite size before and after the thermal treatment was analyzed by the K-W correlation, revealing significant changes considering a reliability level of 95% and a significance error of 5%. …”
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Thermo-mechanical assessment of high entropy (Fe-Ni-Cx (X=0.3-0.5), (Fe-Cr-Cx (X=0.3-0.5) ternary alloys system using calphad method by Waseem Ullah shah, Dil faraz khan khan, haiqing yin yin, saeed ullah jan jan

“…ERRATUM In the Kuwait Journal of Science, Vol.50, Issue No.(3A), July 2023, pp. 1-12 of the article titled, “Thermo-mechanical assessment of high entropy (Fe-Ni-Cx (X=0.3-0.5), (Fe-Cr-Cx (X=0.3-0.5) ternary alloys system using calphad method,” by Waseem Ullah Shah, Dil Faraz Khan, Haiqing Yin, and Saeed Ullah there has been an error in the alloying composition of Table 2 and Table 3. …”
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METHOD FOR MEASURING ENERGY IN HEAT SUPPLY SOURCES by V. A. Bulanin

“…The developed theoretical provisions make a certain contribution to the development of the scientific foundations of heat and gas supply, increase accuracy and reduce the complexity of calculating the technical and economic indicators of thermal power plants and boiler houses.…”
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Development of an approach to predicting the bioavailability of enteral nutrition products by V. V. Kondratenko, E. Yu. Agarkova

“…Available information on the composition and indicators of 52 commercial ENPs was used as a research object. …”
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Artificial neural network and response surface method-based optimization of unsteady natural convective heat transfer of Fe3O4-Engine Oil nanofluid in a trapezoidal enclosure by Umme Salma, Md. Shariful Alam, S. M. Chapal Hossain, Md. Nurul Huda, Tarikul Islam

“…Low Hartmann number (Ha), high Rayleigh number (Ra), and large nanoparticle volume fractions (ϕ) are the conditions that produced the best thermal performance. Several statistical indices, including the coefficient of determination (R²), mean squared error (MSE), margin of deviation (MOD), and root mean squared error (RMSE), are used to quantitatively calculate the quality of the RSM and ANN models. …”
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Modeling and Testing of 3D Wound Core Loss of Amorphous Alloy Transformer for Photovoltaic Inverter by Peng Chen, Jianwei Han, Xinglong Yao, Xiaohui Wang, Yunfei Yan, Zhe Zhao, Lisong Zhang, Zhanyang Yu, Hao Li

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Enabling Robust Exoplanet Atmospheric Retrievals with Gaussian Processes by Yoav Rotman, Luis Welbanks, Michael R. Line, Peter McGill, Michael Radica, Matthew C. Nixon

“…Atmospheric retrievals are essential tools for interpreting exoplanet transmission and eclipse spectra, enabling quantitative constraints on the chemical composition, aerosol properties, and thermal structure of planetary atmospheres. …”
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Experimental Study of a Multipoint Random Dynamic Loading Identification Method Based on Weighted Average Technique by Xiaonan Gai, Kaiping Yu

“…This improved loading identification method is successfully applied to experiments of cantilever beam and thermal protection composite plate structure. Identification results prove that the proposed method is valid by good agreement between identified power spectrum density and the actual one. …”
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Thermo-mechanical-metallurgical and damage modeling for hot stamping and warm-cutting of boron steel by Yongfeng Li, Hui Zhang, Shuhui Li

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Raman evaluation of graphene oxide dispersed in naphthenic oil by ALAN PASSERO, TAYNARA A. DE CARVALHO, NATALIA B. SANCHES, LIDIA M.S. MURAKAMI, JORGE CARLOS N. DUTRA, RITA DE CÁSSIA L. DUTRA

“…Even added in low levels (0.1 – 5.0%), properly dispersed in polymer composites, it results in significant differences in mechanical, thermal, chemical, and electrical properties. …”
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Study on Distributed Ultrasonic Detection Method of Two-dimensional Gas Temperature Field by LI Shaozhuang, SHI Youan, LU Xiaokang, CHEN Yu, WEI Dong

“…In the on-site experimental validation within the autoclave, the average relative error between reconstructed temperatures and thermocouple measurements was 4.48%, which indicated the effective performance of the distributed ultrasound temperature measurement system in temperature field reconstruction.ConclusionsThe results demonstrate that the method established in this study for distributed ultrasound detection of two-dimensional gas temperature fields precisely describes the propagation characteristics of ultrasound under thermal/acoustic coupling effects within the autoclave. …”
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Asteroid Types, Albedos, and Diameters Catalog from Gaia DR3: Intelligent Inversion Results via Multisource Information Fusion by Jiayi Ge, Xiaoming Zhang, Juan Li, Huijuan Wang, Dawei Xu, Xiaojun Jiang

“…Cross validation and independent testing show that AadRF reduces the root mean square error for albedo and diameter predictions by 64.0 percentage points and 70.2 percentage points, respectively, compared to the traditional method, with corresponding mean absolute percentage errors of 28.9% and 17.5%. …”
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CO2 Emission Inventory in Türkiye and Estimation of CO2 Concentration over Türkiye by Using Dispersion Modelling by Ali Can, Aysel T. Atimtay, Turgut Tokdemir

“…After this year, the province and district base projections contain lots of errors and uncertainties. The economic conditions, industrial development, increasing number of thermal power plants, and changing number of households create many errors and uncertainties besides the collected activity data. …”
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Numerical simulation of GTAW for ZW61 magnesium alloy thin plates: Coupling the finite element method with the cellular automata method by Qichi Le, Weiyang Zhou, Qiyu Liao, Dazhi Zhao, Ye Shi

“…Moreover, the experimental results of the thermal cycling curves and the FZ microstructure exhibit minimal error with the simulation results, verifying the reliability of the model.…”
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A combined RSM – FEM analysis of weld quality in laser transmission welding of plastics by Nitesh Kumar, Soumyabrata Chakravarty, Nikhil Kumar, Rajat Subhra Sen

“…The resulting weld qualities, such as weld width, Heat Affected Zone (HAZ), ware measured, showing weld width ranges from 112.65 μm to 302.64 μm and HAZ between 20.85 μm to 105 μm. The thermal modelling provided predictions for depth of penetration, with values spanning from 106.25 μm to 228.65 μm. validated against experimental data, demonstrating an average error of 8.09%. …”
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Machine Learning-Driven Prediction of Wear Rate and Phase Formation in High Entropy Alloy Coatings for Enhanced Durability and Performance by S. Sivaraman, N. Radhika, Muhammad Abubaker Khan

“…To address this, Machine Learning (ML) techniques were integrated to predict the wear rate and phase formation in HEA coatings processed through thermal spray methods. Ten ML models such as AdaBoost, XGBoost, CatBoost, GBRT, DT, SVM-RBF, MLP, BNN, MLR and HR were utilized to predict wear rate, Feature engineering was conducted using Mutual Information (MI) and Pearson Correlation Coefficient (PCC) to access feature significance, Variance Inflation Factors (VIFs) analyzed multicollinearity, identified influential elements for wear rate prediction and aiding in the development of novel Lightweight High Entropy Alloys (LHEAs) coating compositions. …”
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Spectral Properties of Suprathermal Protons Associated with Interplanetary Shocks from WIND/STICS Data by Johann Rubens Mejia-Ott, Brent M. Randol

“…“Suprathermal” designates energies above the bulk, “thermal” solar wind, including inner-source pickup ions, cometary ions, solar energetic particles, and suprathermal tail particles. …”
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Strategic optimization of engine performance and emissions with bio-hydrogenated diesel and biodiesel: A RVEA-GRNNs framework by Niti Klinkaew, Attasit Wiangkham, Atthaphon Ariyarit, Prasert Aengchuan, Anupap Pumpuang, Sarunporn Sripratum, Atthaphon Maneedaeng, Jiraphon Srisertpol, Ekarong Sukjit

“…Results indicate that engine performance is closely linked to combustion temperature, which significantly affects fuel consumption and thermal efficiency. Bio-hydrogenated diesel demonstrated superior performance compared to conventional diesel, with lower fuel consumption and higher thermal efficiency, attributed to its higher cetane index (78 vs. 56) and heating value (47.02 MJ/kg vs. 43.48 MJ/kg). …”
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