Data Mining of 24-Hour Cumulative Precipitation Data in Iran Using Machine Learning: Multilayer Perceptron Neural Network and Decision Tree by mozaffar faraji, Majid Rezaii Banafsheh Daragh, Behroz sarisarraf, Ali Mohammad Khorshid Dust

“…Results: The MLP model demonstrated efficiency in estimating monthly precipitation by minimizing MSE to 0.04. …”
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A Comparative Study on Fuzzy Logic-Based Liquid Level Control Systems with Integrated Industrial Communication Technology by Hasan Mhd Nazha, Ali Mahmoud Youssef, Mohamad Ayham Darwich, Their Ahmad Ibrahim, Hala Essa Homsieh

“…These improvements demonstrate its ability to handle process fluctuations more efficiently and respond rapidly to changes in liquid levels. …”
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Performance analysis of 1210kW grid-connected solar photovoltaic systems at Bukhara State University by Bekhzod Khikmatov, Mirfayz Mirzaev, Kamoliddin Samiev, Obidjon Khamidov

“…The electricity generated by solar PV system is linked to solar radiation with a strong linear correlation of R2 = 0.7406. The annual average values of array yield, final yield, and reference yield are 2.79, 2.73, and 4.64 kWh/kWp, respectively. …”
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Interference Mitigation and Collision Avoidance of Dynamic UAVBSs Network via Mobility Control: A Game Theoretic Approach by Omar Ali Thabet, Didem Kivanc Tureli, Ufuk Tureli

“…Mobility control of Unmanned Aerial Vehicle Base Stations (UAVBSs) can avoid collision and improve the power efficiency and coverage of the wireless network. In this work, UAVBS mobility control is formulated as an exact potential game. …”
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Dynamic model of a harvester equipped with a rope anchor system during logging operations on a steep slope by Lagerev A.V., Lagerev I.A., Makulina A.V.

“…The dynamic mathematical model of such a six-component system includes 35 generalized coordinates that determine the linear and angular displacements of the mass centers of the listed system components. …”
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Advancing sustainable mobility: Dynamic predictive modeling of charging cycles in electric vehicles using machine learning techniques and predictive application development by Biplov Paneru, Durga Prasad Mainali, Bishwash Paneru, Sanjog Chhetri Sapkota

“…The considered models are gradient boosting, random forests, decision trees, and linear regression. Each of these was assessed based on its R-squared score, which is an important statistical measure in indicating the variance proportion yielded by the model. …”
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Quick-Response Model for Pre- and Post-Disaster Evacuation and Aid Distribution: The Case of the Tula River Flood Event by Francisca Santana-Robles, Eva Selene Hernández-Gress, Ricardo Martínez-López, Isidro Jesús González-Hernández

“…<i>Background</i>: In the context of humanitarian logistics, efficiently evacuating people from disaster-stricken areas is a complex challenge. …”
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Rock Indentation Behavior: Effects of Penetration Rates and Indenter Types by Shangxin Feng, Yuxing Zhang, Yufei Zhao, Mengchen Yun

“…In addition, rock brittleness is another key factor to control rock failure efficiency, with tensile strength serving as a significant component.…”
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A Five-Axis Toolpath Corner-Smoothing Method Based on the Space of Master–Slave Movement by Song Gao, Haiming Zhang, Jianzhong Yang, Jiejun Xie, Wanqiang Zhu

“…The smoothing of linear toolpaths plays is critical in improving machining quality and efficiency in five-axis CNC machining. …”
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A Versatile Switched-Mode Large-Signal GaN-Based Low-Distortion Arbitrary Waveform Generator by Ignacio Alvarez-Gariburo, Hector Sarnago, Jose M. Burdio, Oscar Lucia

“…In contrast to the previous ones, whose implementation was based on linear amplifiers, it enables arbitrary waveform generation, higher efficiency, and very low output impedance. …”
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Optimising the thermal characteristics of Williamson fluid flow through a microchannel influenced by the Hall effect using response surface methodology by Pradeep Kumar, M.N. Guruprasad, Felicita Almeida, Taseer Muhammad

“…The investigation incorporates the effects of the Hall current, non-linear thermal radiation, buoyancy forces, heat sources, convective heat transfer, and slip boundary conditions. …”
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Specifics of predicting the profitability of individual bank products based on machine learning by Inna Strelchenko, Dmytro Stognii, Anatolii Strelchenko

“…It explores the use of machine learning to build adaptive predictive models that can identify hidden patterns in financial data and provide more accurate estimates of the future profitability of banking products. The efficiency of key algorithms, including linear and logistic regression, decision trees, ensemble methods and neural networks, is analyzed. …”
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An Intelligent Contract-Driven Bidding Approach for Electric Vehicle Aggregators to Facilitate Blockchain-Powered Energy Trading by Imran Hussain, Hafiz Ashiq Hussain, Nasim Ullah, Stanislav Misak

“…Furthermore, the transactional efficiency depicting the execution time, latency, and throughput performance for viability and scalability evaluations in practical applications is presented to illustrate the effectiveness of the proposed framework.…”
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Optimal Capacity Configuration of Residential Solar-Hydrogen Coupling Energy System with Hydrogen Vehicle Load by Zhenlan DOU, Chunyan ZHANG, Huirong ZHAO, Yuqi YAO, Daogang PENG

“…The mathematical model based on mixed integer linear programming theory is then proposed for system capacity configuration optimization. …”
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High voltage direct current system-based generation and transmission expansion planning considering reactive power management of AC and DC stations by Ehsan Akbari, Ahad Faraji Naghibi, Mehdi Veisi, Sasan Pirouzi, Sheila Safaee

“…The scheme incorporates a non-linear model. The Red Panda Optimization (RPO) is utilized to solve the provided model in order to attain a dependable and optimal solution. …”
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Leveraging Success: The Hidden Peak in Debt and Firm Performance by Suzan Dsouza, Krishnamoorthy Kathavarayan, Franklin Mathias, Dharmesh Bhatia, Abdallah AlKhawaja

“…This study investigates the relationship between capital structure and financial performance in South African firms, focusing on the potential non-linear, inverse U-shaped effect of leverage on profitability. …”
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Complex system policy modelling approaches for policy advice – comparing systems thinking, system dynamics and agent-based modelling by Christoph Schünemann, Simon Johanning, Elena Reger, Hendrik Herold, Thomas Bruckner

“…Policy assessment is often limited to the evaluation of the physical effectiveness or economic efficiency. To analyse how policies intervene in the complex reality, qualitative and quantitative complex system modelling approaches from the field of Systems Thinking (STM), System Dynamics (SDM) or Agent-based modelling (ABM) can provide valuable insights. …”
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Emulation With Uncertainty Quantification of Regional Sea‐Level Change Caused by the Antarctic Ice Sheet by Myungsoo Yoo, Giri Gopalan, Matthew Hoffman, Sophie Coulson, Holly Kyeore Han, Christopher K. Wikle, Trevor Hillebrand

“…In order to quantify uncertainty, we derive well‐calibrated prediction intervals for regional sea‐level change via split‐conformal inference and linear regression, and show that Monte Carlo dropout does not yield well‐calibrated uncertainties in this instance. …”
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Environmental costs in healthcare system: the case studies of Greece health care by Anastasios Sepetis, Fotios Rizos, Ioannis Parlavantzas, Paraskevi N. Zaza, Ioannis E. Nikolaou

“…The data analysis methodology was based on linear ordinary regression (OLS) models to calculate environmental costs related to energy consumption, waste management and water consumption. …”
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Relations between 24-h movement behaviors, declarative memory, and hippocampal volume in early childhood by Christine W. St. Laurent, Sanna Lokhandwala, Tamara Allard, Angela Ji, Amanda Paluch, Tracy Riggins, Rebecca M. C. Spencer

“…Multilevel models explored movement behaviors independently as absolute values, and with both absolute total activity, 24-h sleep duration, and night sleep efficiency. Movement behaviors were also explored as compositions in linear regression models. …”
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