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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Optimizing Xenograft Models for Breast Cancer: A Comparative Analysis of Cell-Derived and Patient-Derived Implantation Techniques in Pre-Clinical Research by Khairani AF, Harmonia S, Chou Y, Alfarafisa NM, Ramadhanti J

“…The inclusion criteria ensured relevant English sources were available in full text, while the exclusion criteria eliminated certain types of articles and inadequately comprehensive studies.Results: Subcutaneous and orthotopic implantation are critical methods for xenograft models in cancer research. …”
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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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Soft sensor modeling method for Pichia pastoris fermentation process based on substructure domain transfer learning by Bo Wang, Jun Wei, Le Zhang, Hui Jiang, Cheng Jin, Shaowen Huang

“…Secondly, the optimal subspace domain adaptation method integrating multiple metrics is used to obtain the optimal projection matrices $${{W}_{s}}$$ W s and $${{W}_{t}}$$ W t that are coupled with each other, and the data of source and target domains are projected to the corresponding subspace to perform spatial alignment, so as to reduce the discrepancy between the sample data of different working conditions. …”
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Improving Compressed Sensing Image Reconstruction Based on Atmospheric Modulation Using the Distributed Cumulative Synthesis Method by Xuelin Lei, Xiaoshan Ma, Zhen Yang, Xiaodong Peng, Li Yun, Mengyuan Zhao, Mingrui Fan

“…Noise analysis shows that the proposed method has better anti-noise performance than the single light source imaging method.…”
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Experimental method for determining the supply current of a PMOS power transistor for use as a RADFET dosimeter by Eduardo Gomes Mendonça, Tassio Cortês Cavalcante, Rafael Galhardo Vaz, Evaldo Carlos Fonseca Pereira Junior, Odair Lelis Gonçalez

“…In this work it is presented a novel experimental method to determine the optimal drain-source current value to be supplied to a p-type MOSFET used in a traditional RADFET configuration (diode connected transistor) for monitoring of the accumulated X- and gamma-radiation dose. …”
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Rapid prototyping of 3D microstructures: A simplified grayscale lithography encoding method using blender by Fabrício Frizera Borghi, Mohammed Bendimerad, Marie-Ly Chapon, Tatiana Petithory, Laurent Vonna, Laurent Pieuchot

“…This work presents a simplified method for encoding 3D objects into grayscale image files optimized for grayscale lithography. …”
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Performance analysis of advanced deep learning technics: Application to solar energy forecasting and management in several cities in Chad by Osée Mounkang, Claude Vidal Aloyem Kaze, Nzoko Tayo Dieudonné, Ghislain Junior Bangoup Ntegmi, Duclair Paul Edouard Pountounynyi, Hervice Roméo Fogno Fotso, Armel Zambou Kenfack, Germaine Kenmoe Djuidje, René Tchinda

“…To achieve this, eight deep learning algorithms were used to optimize energy management. This study proposes a hybrid artificial intelligence model that combines LLM and LSTM methods, utilizing the Adam optimization algorithm to make hourly solar radiation predictions over a seven-day period. …”
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A new method to improve the power quality of photovoltaic power generation based on 24 solar terms by Qingqing Li, Wangjie Pan, Wangwang Jin, Qian Li, Zede Liang, Yuan Li

“…Subsequently, this paper proposed a grid connection method based on average values derived from the 24 solar terms and optimized it using a transfer learning model. …”
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Research on Water Quality Improvement Method Based on Slowly-Stored and Quickly-Released System in Xi'an Moat by SUN Chao, HAN Weigang, NONG Xiaoying, WANG Hui, WANG Wenyu, GAO Zehai

“…The slowly-stored and quickly-released system was studied to explore the method of optimizing the hydrodynamic force of rivers in arid regions and reveal its effect on water quality.The south-west tributary of Xi'an moat was defined as the study area.A hydrodynamic force-water quality coupling model of the moat was built based on the collected data of current water quality and hydrodynamic force by using MIKE21.In the coupling model,the impounding gate was designed based on the dam body of the moat to simulate the scouring and silting capacity of the lower reaches caused by rapid discharge from the upper reaches of the channel.The influence law of rapid discharge at different water levels and water quality conditions on hydrodynamics and water quality of the moat was studied.The numerical simulation results from MIKE21 show that water level has a significant influence on the hydrodynamic force,and water quality has a significant influence on the pollutant concentration.The simulation results of the hydrodynamic force-water quality coupling model of the moat show that the working condition with a 1-meter water level and class Ⅲ inlet water quality can greatly improve the water quality and hydrodynamic force of Xi'an moat.By using the water reaching the standard of the class Ⅲ inlet water quality as the supply source,the water quality of Xi'an moat can be effectively improved by enhancing the hydrodynamic force of the moat.…”
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Development and validation of a LC-MS method for the quantification of microcystins in fish for their monitoring in environmental and food context by Camille Van Camp, Wannes Hugo R. Van Hassel, Jeroen Van Wichelen, Julien Masquelier

“…This study, therefore, aimed to optimize and validate an UHPLC-MS/MS method for the quantification of eight microcystin congeners and nodularin in five different fish species. …”
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Optimization of Biodiesel Production Parameters from Cucurbita maxima Waste Oil Using Microwave Assisted via Box-Behnken Design Approach by Ketema Beyecha Hundie

“…The Cucurbita maxima wastes are massive source of oils, which are believed to indicate the possible sources of renewable energy whose biodiesel can be produced. …”
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An Automatic Decision-Level Fusion Rice Mapping Method of Optical and SAR Images Based on Cloud Coverage by Xueqin Jiang, Song Gao, Huaqiang Du, Shenghui Fang, Yan Gong, Ning Han, Yirong Wang

“…Timely and accurate mapping of paddy rice cultivation is crucial for estimating rice production and optimizing land utilization. Optical images are essential data source for paddy rice mapping, but it is susceptible to cloud contamination. …”
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Early Detection of Multiwavelength Blazar Variability by Hermann Stolte, Jonas Sinapius, Iftach Sadeh, Elisa Pueschel, Matthias Weidlich, David Berge

“…Based on unsupervised anomaly detection and clustering methods, we differentiate source variability from noisy background activity, without the need for a labeled training data set of flaring states. …”
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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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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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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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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 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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Visual indicator for the detection of methylmercury in blood: A critical biomarker for dietary exposure assessment by Yan Guo, Bing-chan Ma, Wen-qi Zhang, Bo-xin Li, Jia-ming Ou, Fen Liu, Chang-ye Hui

“…The optimized biosensor achieved a detection limit of 0.195 nM and exhibited a linear response range of 0.195–1.563 nM for MeHg. …”
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