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

“…Data were carefully collected and preprocessed from reliable sources, with 80% used for training and 20% for testing. …”
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Sensor-Generated In Situ Data Management for Smart Grids: Dynamic Optimization Driven by Double Deep Q-Network with Prioritized Experience Replay by Peiying Zhang, Siyi Li, Dandan Li, Qingyang Ding, Lei Shi

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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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Exploring optimal protocols for generating and preserving glucose-responsive insulin-secreting progenitor cells derived from human pluripotent stem cells by Patrizia Tornabene, James M. Wells

“…In this study, we performed a side-by-side functional comparison based on three widely used methods to generate insulin expressing cells and identified optimal stages and conditions for cryopreserving and reconstituting stem cell (SC)-derived islets with a robust GSIS. …”
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Fusion of Visible and Infrared Images Using a Reinforcement Learning System Based on Fuzzy Logic and Convolution Optimized with Wild Horse Algorithm by Mahvash Zarimeidani, Amir Amirabadi, Nasrin Amiri, Iman Ahanian, Siavash Es’haghi

“…Based on the experimental results, our proposed method outperforms previous fusion methods in terms of subjective and objective evaluations.…”
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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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Optimizing genomic DNA extraction from long-term preserved formalin-fixed and paraffin-embedded lung cancer and lymph node tissues by C.S. Faria, C.M. Baldavira, F.R.R. Mangone, M.E.M. Agati, L.D. Kulikowski, M.A. Nagai, E.C.T. do Nascimento, E.S. de Mello, V.L. Capelozzi, L. Antonangelo

“…We recommend scraping tissue from slides as a reliable source of gDNA and suggest fine-tuning proteinase K digestion time and heat exposure based on the input tissue volume.…”
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Screening of microfungi for lipolytic activity and optimization of process parameters in lipase production by solid substrate fermentation using selected microfungi (Penicillium au... by Meltem Çakmak, Halide Aydoğdu

“…In addition, SSF culture media conditions for fungal lipase production were optimized. Optimum fermentation conditions were found as; 6 days of incubation time, 25oC incubation temperature, moisturizing liquid pH: 5.5 (distilled water), initial moisture level 75% (w/v), initial inoculum concentration 1 mL (1x106 spores/mL) and 1% sesame oil as carbon source. …”
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Optimal selection of high-production well targets for fault-controlled fractured-vuggy reservoir in Shunbei oil and gas field, Tarim Basin by Lijun GAO, Haiying LI, Wei GONG, Wei YANG, Hongyan LI

“…This process included methods for optimizing well trajectories, selecting well locations, predicting formation pressures before drilling, and predicting wellbore stability, which improved drilling safety and efficiency. …”
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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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Applying the Intelligence of Ant and Tabu Search to Solve The 8-puzzle Problem by Ruqaya Sha’ban

“…The research tackled artificial intelligent methods to solve one of the optimization problems by using artificial ant by applying ant colony optimization algorithm and also tabu search algorithm to find the solution of sliding tile 8-puzzel problem. …”
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Using Coil-Wire Method to Improve Heat Transfer Characteristics in Pipe Flow: A Mini Review Study by Sarmad A. Ali Sciences

“…An improved technique in the field of heat transfer serves as a research task and is classified as an active, passive, and large-scale composite technique. Active methods need an external power source for the input process and do not need an additional power source or power to improve heat transfer. …”
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Impacts of Phenolic Compounds and Their Benefits on Human Health: Germination by Jonathan Hernández-Miranda, Karen Argelia Reyes-Portillo, Abigail García-Castro, Esther Ramírez-Moreno, Alma Delia Román-Gutiérrez

“…Furthermore, the nutritional profile can naturally be maximized and optimized through the germination process through two key methods: degradation of macromolecules and biosynthesis of metabolites, which favors an increase in the concentration of bioactive compounds, such as phenolic compounds. …”
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Geological disaster risk assessment based on remote sensing, GIS, and a multi-strategy improved GWO-optimized Elman neural network by Kuayue Chen, Fuhong Bai, Ting Wang, Yingmei Su, Baoyun Wang

“…To improve the accuracy and intelligence of geological disaster risk assessment, this study proposes a novel method based on a Multi-strategy Improved Grey Wolf Optimization algorithm combined with the Elman Neural Network (MIGWO-Elman). …”
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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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A Wind Power Density Forecasting Model Based on RF-DBO-VMD Feature Selection and BiGRU Optimized by the Attention Mechanism by Bixiong Luo, Peng Zuo, Lijun Zhu, Wei Hua

“…Finally, an attention mechanism is employed to identify important information from the outputs of the BiGRU model, and the Grid Search (GS) method is used to optimize the BiGRU-Attention model, yielding optimal predictions. …”
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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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Multi-objective synergistic optimization of closed Brayton cycle superstructure for thermal protection system of high-Mach-number air-breathing vehicles by Chendi Yang, Hang Pu, Lin Mu, Lin Zhou, Junjiang Bao, Yining Zhang, Ming Dong

“…A new design challenge arises from the trade-off between the cooling capability and thermodynamic performance of the Brayton cycle system under a finite cold source constraint. In this study, a multi-objective synergistic optimization of Brayton cycle configurations, working fluids, and design parameters was investigated using the superstructure method. …”
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Embracing open innovation in hospitality management: Leveraging AI-driven dynamic scheduling systems for complex resource optimization and enhanced guest satisfaction by Rapeepan Pitakaso, Paulina Golinska-Dawson, Peerawat Luesak, Thanatkij Srichok, Surajet Khonjun

“…We conducted a pilot implementation at a hotel in Ubon Ratchathani Province, Thailand, using a mixed-method approach that combined quantitative metrics with qualitative feedback. …”
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