Response surface optimization for cellulase production from Enterococcus faecium and Stutzerimonas stutzeri isolated from Gossypium arboretum and Solanum melongena soil by Mohammedfaizan Shaikh, Naureenbanu Makarani, Krishan Kumar

“…Abstract The rapid utilization of fossil fuel-based energy sources increased demand for alternate sustainable energy sources. …”
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Optimizing Higher Education Performance Through Data Integration Using the Zachman Framework: A Case Study on LAM Infokom Accreditation Criteria by Abdul Jahir, Arif Mu'amar Wahid, Tri Titis Sufranto

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Integrated local energy market-based optimization framework for multi-energy microgrid considering power grid AC constraints and usage price by Amirhamzeh Farajollahi, Meysam Feili

“…The word ''integrated optimization'' implies that the proposed method clears customers' energy scheduling based on the market competitive price. …”
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Hybrid Machine Learning in Hydrological Runoff Forecasting: An Exploration of Extreme Gradient-Boosting and Categorical Gradient Boosting Optimization in the Russian River Basin by Reza Seifi Majdar, Ali Rahnamaei, Vahid Babazadeh

“…This study focuses on evaluating commonly used ML methods for runoff prediction, with an emphasis on simplicity and comparability to more advanced models. …”
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A novel hybrid methodology for wind speed and solar irradiance forecasting based on improved whale optimized regularized extreme learning machine by S. Syama, J. Ramprabhakar, R Anand, V. P. Meena, Josep M. Guerrero

“…The evaluation criteria demonstrate that the suggested method outperforms the existing methods in terms of prediction accuracy and stability, thus confirming that a hybrid forecasting model approach combining an efficient decomposition method with a simplified but efficient parameter-optimized neural network can enhance its accuracy and stability.…”
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Optimizing 3D seismic survey geometries using ray tracing and illumination modeling: A case study from Penobscot field by Kumar Pradeep, Narayan Satya, Ai Hanbing, Abdelrahman Kamal, Pratap Birendra, Fnais Mohammed S.

“…The WF construction approach assimilates elastic wave propagation through a heterogeneous and geologically complex Earth medium. This method involves constructing an elastic Earth model with inhomogeneous properties and the propagation of elastic wavefields through the model by strategically positioning sources and receivers in accordance with the designed survey geometry. …”
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Dynamic participation in local energy communities with peer-to-peer trading [version 2; peer review: 2 approved, 2 approved with reservations] by Theresia Perger, Hans Auer

“…., as peer-to-peer trading) are on the rise due to increasingly decentralized electricity generation and favorable adjustment of the legal framework in many European countries. Methods This work applies a bi-level optimization model for dynamic participation in peer-to-peer electricity trading to determine the optimal parameters of new participants who want to join an energy community, based on the preferences of the members of the original community (e.g., environmental, economic, or mixed preference). …”
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Optimasi kondisi proses pengeringan ampas wortel menggunakan RSM dan pemanfaatannya sebagai masker gel peel off by Asri Widyasanti, Tiara Namira, Sarifah Nurjanah

“…The dryer used was a food dehydrator operating at a temperature range of 45°C to 65°C for a duration of 20 to 26 hours. This research method was an experimental method with optimization using the Response Surface Methodology (RSM) type Central Composite Design (CCD) in the Design Expert 13 application. …”
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Investigation into the Hyperparameters of Error-Based Adaptive Sampling Approach for Surrogate Modeling by Leonid Legashev, Sergey Tolmachev, Irina Bolodurina, Alexander Shukhman, Lyubov Grishina

“…In this article, we construct a surrogate model for predicting annual energy consumption using the open-source EnergyPlus software and various sampling techniques. …”
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Biogas production using zirconium and zinc-based nanocatalysts and evaluation using a predictive modeling approach by Abbas A. Abdullahi, Mustapha D. Garba, Tawfik A. Saleh

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Optimizing laying hen diets: effect of partial maize meal replacement with wheat bran or biscuits crumbs and Bacillus amyloliquefaciens CECT 5940 by Albertina Felizardo Manteiga, Abilio Paulo Changule, Dercia Hilario Magaia, Nilza Jorge Manjate, Florentina Domingos Chilala, Leonel António Joaquim, Leonel António Joaquim, Eunice Justino Chivale, Filomena Dos Anjos, Otilia Henrique Tamele Tomo, Manuel Garcia-Herreros, Manuel Garcia-Herreros, Custodio Bila, Custodio Bila, Custodio Bila, Custodio Bila

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Thermochemical Valorization of Açaí (Euterpe oleracea) Seeds: a Study using Gibbs Energy Minimization and Entropy Maximization Methods by Yan Caio Morais Da Costa, Ana Carolina Portela Pessoa Coelho, Julles Mitoura Dos Santos Júnior, Annamaria Dória Souza Vidotti, Antonio Carlos Daltro De Freitas, Reginaldo Guirardello

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Robust machine learning models for calculating the carbon dioxide desublimation point within natural gas mixtures at low temperature conditions by Walid Abdelfattah, Munthar Kadhim Abosaoda, Dharmesh Sur, Menon Soumya V, Prabhat Kumar Sahu, Kamred Udham Singh, R. Sivaranjani, Rohit Chauhan, Siya Singla, Fereydoon Ranjbar

“…Desublimation at low temperatures offers an efficient method for removing CO2 from gas streams. Accurate prediction of the carbon dioxide desublimation temperature (CDDT) is essential for applying this method in natural gas processing. …”
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Multiple strategies were adopted to optimize the enzymatic characteristics and improve the expression of bovine chymosin BtChy in Kluyveromyces lactis for cheese production by Ying Han, Liu-Qun Zhang, De-Ming Rao, Lei Lei, Jiang-Ke Yang

“…Chymosin (EC3.4.23.4), primarily sourced from calf abomasum, serves as a conventional coagulant in milk curdling during cheese production. …”
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Optimization Strategies for Student Scientific Publications in Islamic Higher Education Institutions to Enhance Academic Competence Based on Outcome-Based Education (OBE) by Abil Fida Muhammad Qois Al Hadi, Fadhilla Nangroe Anggraini Anggraini, Linda Asmara, Latifah Insani Muslimah Murni, Muhammad Fathi Salim

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AdvFaceGAN: a face dual-identity impersonation attack method based on generative adversarial networks by Hong Huang, Yang Yang, Yunfei Wang

“…Innovatively, we incorporate source identity loss into the identity loss calculation, discovering that minor reductions in target identity similarity can be traded for significant improvements in source identity similarity, thus making the adversarial faces generated by our method highly similar to both the source identity and the target identity, addressing limitations in existing impersonation attack methods. …”
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Pit Collapse Risk Fusion Early-Warning Method Based on Machine Learning and Improved Cloud Dempster–Shafer by Jiajia Zeng, Bo Wu, Cong Liu

“…A high-accuracy metro pit collapse risk fusion early-warning method is proposed in present study. The main contributions include (1) presenting a new input to the fusion model by optimizing the machine learning model through a multi-step rolling method, and then using the basic probability assignment values obtained from the cloud model as input to the fusion model and (2) developing an improved methodology to address the paradoxical results of the fusion of traditional Dempster–Shafer evidence theory when there is a high level of conflict in multi-source risk prediction data. …”
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Strategy of the effective structure of farmers funding by Denis Y. Samygin, Nikolay G. Baryshnikov

“…Therefore, a research objective is justification and development of strategic models of structure optimization of the budgetary support of peasant farms, taking into account efficiency of measures, which relevance is confirmed by scientific research of the leading scientists in this subject area.Materials and methods. …”
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A Bi-Level Demand Response Framework Based on Customer Directrix Load for Power Systems with High Renewable Integration by Weimin Xi, Qian Chen, Haihua Xu, Qingshan Xu

“…The growing integration of renewable energy sources (RESs) into modern power systems calls for enhanced flexibility and control mechanisms. …”
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A reinforcement learning based real-time energy management method for mobile microgrid considering photovoltaic uncertainty by Huasong Fang, Huayue Zhang, Shuli Wen, Zhong Li, Zhilin Zeng, Miao Zhu, Pengfeng Lin

“…To address this issue, this paper proposes a real-time energy management optimization method based on reinforcement learning, specifically tailored to handle PV uncertainty and dynamic load variations during navigation. …”
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