Physics-augmented deep learning models for improving evapotranspiration estimation in global land regions by Binrui Liu, Xinguang He, Wenkai Lyu, Lizhi Tao

“…A Physics-Data Learning (PDL) model is first formed by adding a complementary physical variable generated by Penman–Monteith (PM) equation to a deep learning (DL) model along with driving variables to regress latent heat flux. …”
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Jacobian-Free Newton Krylov Methods for Steady and Transient Neutron Transport Models by ZHANG Yangyi, ZHANG Tiancheng, ZHOU Xiafeng

“…To further improve computational efficiency of comeSn_JFNK, in the JFNK solution, neutron scalar fluxes instead of neutron angular fluxes were chosen as the global solution variables. …”

Possibilities of Using Artificial Intelligence in Security Analysis by Maciej Norbert Ciesielski

“…In total, out of twelve features/variables that make up analytical imagination, artificial intelligence already functions efficiently (or will function efficiently soon) in practically all of them.…”
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Research on Side Lobe Suppression of Time-Modulated Sparse Linear Array Based on Particle Swarm Optimization by Lei Liang, Jie Sun, Hailin Li, Jialing Liu, Yachao Jiang, Jianjiang Zhou

“…An efficient pattern synthesis approach is proposed for the synthesis of a time-modulated sparse linear array (TMSLA) in this paper. …”
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Enhanced prediction of heating value of municipal solid waste using hybrid neuro-fuzzy model and decision tree-based feature importance assessment by Oluwatobi Adeleke, Obafemi O. Olatunji, Tien-Chien Jen, Iretioluwa Olawuyi

“…To this end, the feature importance analysis of MSW input variables was carried out using the decision tree regressor with the Gini importance (GI) metrics to identify the most influential variable. …”
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Accelerating charge estimation in molecular dynamics simulations using physics-informed neural networks: corrosion applications by Aditya Venkatraman, Mark A. Wilson, David Montes de Oca Zapiain

“…This demonstrates the excellent accuracy, computational efficiency, and validity of the developed model. Lastly, even though developed for corrosion, these protocols are formulated in a phenomenon-agnostic manner, allowing application to various variable-charge interatomic potentials and related fields.…”
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Impact of adopting improved Arabica varieties on the livelihood of organic coffee producers’ of Ethiopia: Continuous treatment approach by Negussie Zeray Gebru, Tasew Tadesse, Wajana Wae

“…The technique proved efficient in elucidating non-linear causal links between adoption intensities, dosages, and outcome variables. …”
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An Optimal Hybrid Control Method for Energy-Saving of Chilled Water System in Central Air Conditioning by Yan Zhang, Xiaoli Chu, Yongqiang Liu

“…Here, an optimum control method is proposed with the principle of the minimum, by setting the minimum power consumption as the performance function in fixed time, which realizes variable control of pumps and accurate adjustment of temperature inside room. …”
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Performance evaluation of atmospheric water generation in different climates using thermoelectric cooling by Ali M. Ashour, Sarmad A. Ali, Saif Ali Kadhim, Luttfi A. Al-Haddad, Ali Habeeb Askar, Farhan Lafta Rashid, Ravishankar Sathyamurthy

“…In contrast, the variable voltage mode improves efficiency by 30 %, albeit with a lower water yield. …”
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New Approach of Blind Adaptive Equalizer Based on Genetic Algorithms by Caroline A. D. Silva, Marcelo A. C. Fernandes

“…Unlike traditional methods that rely on linear programming and suffer from local minima issues, this technique utilizes a stochastic linear programming cost function with GAs for robust optimization. The proposed method termed Blind Linear Equalizer based on genetic algorithm (BLE-GA) enhances performance by leveraging a GA’s ability to handle stochastic variables, offering rapid convergence and resilience against signal noise and inter-symbol interference. …”
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Magnetohydrodynamic Maxwell hybrid nanofluid flow and heat transfer over a moving needle in porous media by Rejab Hajlaoui, Amir Abbas, Fizza Anwar, Mohamed Mahdi Boudabous, Alaa Chabir, Walid Hassen, Lioua Kolsi

“…The Maxwell fluid parameter also influences the fluid speed and thermal efficiency of the fluid. Results reflect that the skin friction coefficient reduces and the Nusselt number or heat transfer rate increases with increasing Prandtl number. …”
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Finding the optimal probe state for multiparameter quantum metrology using conic programming by Masahito Hayashi, Yingkai Ouyang

“…The algorithm involves a conic program, which minimizes a linear objective function subject to conic constraints on a operator-valued variable. …”
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Optimized integration of photovoltaic systems and distribution static compensators in distribution networks using a novel discrete-continuous version of the adaptive JAYA algorithm... by Paolo Iván Cubillo-Leyton, Oscar Danilo Montoya, Luis Fernando Grisales-Noreña

“…For comparison, the discrete-continuous versions of the vortex search algorithm (VSA), the sine-cosine algorithm (SCA), Phasor Particle Swarm Optimization (PPSO), New Self-Organising Hierarchical PSO (NHPSO-JTVAC), Differential Evolution (DE), Gold Search Optimization (GSO) and the classical version of JAYA are used, validating the effectiveness of our proposal on the 33- and 69-bus test systems while considering variable generation and demand. In terms of the best solution, the average solution, and the required processing times, the AJAYA-SA strategy yields the best results in both test systems, making it the most efficient method to solve the problem under study.…”
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Shell and tube heat exchanger optimization: A critical literature assessment and fairness-based comparative performance analysis of meta-heuristic algorithms by Samet Gürgen

“…In order to make comparisons, the objective function, decision variables and their boundary values were taken as the same. …”
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Polarization scattering-based detection of lubricating materials by Xin Liu, Junxin Jian, Xiaolu Huang, Huilong Li, Yuan Tian, Weizhi Ma, Xiaolong Zhao, Zunnian Liu, Jiayi Sun, Xiushuo Zhang, Yong Wang, Xiaomei Zhu

“…Friction, wear, and corrosion are common phenomena in both industrial and daily life, significantly impacting the performance, lifespan, and energy efficiency of equipment. …”
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A fast and simplified subglacial hydrological model for the Antarctic Ice Sheet and outlet glaciers by E. Kazmierczak, T. Gregov, T. Gregov, V. Coulon, F. Pattyn

“…<p>We present a novel and computationally efficient subglacial hydrological model that represents in a simplified way both hard- and soft-bed rheologies, as well as an automatic switch between efficient and inefficient subglacial discharge, designed for the Antarctic Ice Sheet. …”
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Contribution of entropy analysis on three-dimensional Prandtl model under Hall and ion slip effects with generalized mass and heat fluxes via OHAM by Sana Akbar, Muhammad Sohail, Syed Tehseen Abbas, Abha Singh

“…This article also examined the combined impacts of thermal conductivity change together with variable mass diffusion co-efficient within the heat and mass transport in the occurrence of Prandtl fluid. …”
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Introducing the MESMER-M-TPv0.1.0 module: spatially explicit Earth system model emulation for monthly precipitation and temperature by S. Schöngart, S. Schöngart, L. Gudmundsson, M. Hauser, P. Pfleiderer, Q. Lejeune, S. Nath, S. I. Seneviratne, C.-F. Schleussner, C.-F. Schleussner, C.-F. Schleussner

“…Owing to their runtime efficiency, emulators are especially useful when large amounts of data are required, for example, for in-depth exploration of the emission space, for investigating high-impact low-probability events, or for estimating uncertainties and variability. …”
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Neuro-Evolution of Augmenting Topologies for Dynamic Scheduling of Flexible Job Shop Problem by Jian Huang, Yarong Chen, Jabir Mumtaz, Liuyan Zhong

“…This study introduces a neuro-evolution of augmenting topologies (NEAT) algorithm aimed at optimizing the scheduling efficiency in flexible job shops by minimizing both maximum completion and average lag times, taking into account variables like sporadic job arrivals, variable machining durations, tool wear, preventive maintenance, and equipment failures. …”
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Preference set-based design method for qualitative assessments using dominance-based rough set approach by Shotaro OYAMA, Takeo KATO

“…The preference set-based design (PSD) method enhances design efficiency by providing an adjustment range that reflects the preferences of the designer in the quantitative design variables and performance. …”
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