Battery Current Estimation and Prediction During Charging with Ant Colony Optimization Algorithm by Selamat Muslimin, Ekawati Prihatini, Nyayu Latifah Husni, Tresna Dewi, Mukhidin Wartam Bin Umar, Auvi Crisanta Ana Bela, Sri Utami Handayani, Wahyu Caesarendra

“…The ACO algorithm is used to obtain the best current pattern in the battery charging system to produce a smart charging system with a fast and safe charging current for the battery. …”
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An optimized approach for predicting water quality features and a performance evaluation for mapping surface water potential zones based on Discriminant Analysis (DA), Geographical... by Abhijeet Das

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Comparative Analysis of Supervised Learning Techniques for Forecasting PV Current in South Africa by Ely Ondo Ekogha, Pius A. Owolawi

“…This work presents a comparative examination of supervised learning algorithms optimized with particle swarm optimization for estimating photovoltaic output current. …”
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Parameter identification of the PV systems based on an adapted version of human evolutionary optimizer by Jun Qian, Hui Zhang, Shun Wang

“…The method is founded on a novel combination of a metaheuristic algorithm, termed AHEO (Adapted Human Evolutionary Optimizer) for the current goal. The key purpose of employing the AHEO in the paper is to minimalize the root mean square error (RMSE) between the forecast and the measured I–V curves of the PV system. …”
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Enhanced Single-Diode Solar Cell Model: Analytical Solutions Using Lambert W Function and Circuit Innovations by Martin Calasan, Snezana Vujosevic, Kristina Bakic

“…Second, original analytical expressions for the current-voltage (I-V) characteristics of each proposed circuit are derived using the Lambert W function. …”
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Exploring Predictive Modeling for Food Quality Enhancement: A Case Study on Wine by Cemil Emre Yavas, Jongyeop Kim, Lei Chen, Christopher Kadlec, Yiming Ji

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Evaluation and estimation of changes in water quality using zoning map and researchers-developed software (case study: Pir-Bazar river) by Majid Homami, Seyed Ahmad Mirbagheri, Seyed Mehdi Borghei, Madjid Abbaspour

“…In this research, zoning maps were prepared and the status of present and future water quality parameters of the basin were accurately estimated using a researchers software-developed application and the five interpolation methods of Kriging, S-PLUS, polynomial regression, inverse distance to power, and local polynomial; and finally the optimal method was selected through a root-mean-square error (RMSE) based cross validation approach.  …”
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Designing a new optimal controller for a PEMFC by an improved design of the Coot Optimizer by Zheng Wang, Mehrdad Rezaie, Gholamreza Fathi

“…Comparative analyses against three other control techniques confirm a wide system enhancement, evidenced by a substantial reduction in both current and overshoot ripples. Algorithm verification using benchmark functions shows the ICOA achieves lower mean values and standard deviations, with p-values indicating statistically significant improvements (p < 0.05) in Root Mean Square Error (RMSE) compared to COA, MVO, EPO, and LOA algorithms, validating its enhanced optimization capabilities for PEMFC control.…”
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Forecasting Influenza Trends Using Decomposition Technique and LightGBM Optimized by Grey Wolf Optimizer Algorithm by Yonghui Duan, Chen Li, Xiang Wang, Yibin Guo, Hao Wang

“…This paper seeks to improve the prediction accuracy of influenza-like illness (ILI) proportions by proposing a novel predictive model that integrates a data decomposition technique with the Grey Wolf Optimizer (GWO) algorithm, aiming to overcome the limitations of current prediction methods. …”
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A Combined HF Radar and Drifter Dataset for Analysis of Highly Variable Surface Currents by Bartolomeo Doronzo, Michele Bendoni, Stefano Taddei, Angelo Boccacci, Carlo Brandini

“…The validation results, published in Remote Sensing, demonstrated good agreement between HF radar and drifter observations, particularly when quality control parameters were optimized. The datasets and associated methodologies described here support ongoing efforts to enhance HF radar tuning strategies and improve surface current monitoring in complex marine environments.…”
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Load demand forecasting in air conditioning a rotor Hopfield neural network approach optimized by a new optimization algorithm by Mingguang Liu, Weibo Zhao, Ying Zhou, Mahdiyeh Eslami

“…The results showcase optimal performance, yielding an R2 value of 0.95, along with the lowest MSE, RMSE, and MAE values when compared to the other tested models. …”
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Construction and application of two intrinsic models for Ti-Al composite plates considering current parameters by Tao Huang, Yihan Zhai, Binghui Xing, Chaomin Zhang, Nan Xiang, Kexing Song, Wenjing Zhang, Lei Shi

“…This work is also highly important for optimizing the current-assisted forming process and improving the forming quality and efficiency of Ti-Al composite plate components.…”
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Retrieval of Ocean Surface Currents by Synergistic Sentinel-1 and SWOT Data Using Deep Learning by Kai Sun, Jianjun Liang, Xiao-Ming Li, Jie Pan

“…A reliable ocean surface current (OSC) estimate is difficult to retrieve from synthetic aperture radar (SAR) data due to the challenge of accurately partitioning the Doppler shifts induced by wind waves and OSC. …”
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Beyond the Current Curve: A Novel Curve Warning System Considering Subsequent Curve Speed Limits by N. S. Manikandan, Ganesan Kaliyaperumal

“…This work presents a novel curve warning system that addresses the existing Advanced Driver-Assistance Systems (ADAS) limitations. While current ADAS offer curve warnings, they often lack the consideration of subsequent curve&#x2019;s speed limit and distance, hindering optimal warning location calculations. …”
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Optimizing photovoltaic parameters with Monte Carlo and parallel resistance adjustment by Fatima Wardi, Mohamed Louzazni, Mohamed Hanine, Elhadi Baghaz, Sanjeevikumar Padmanaban

“…In addition, the restricted objective function is computed using the experimental current–voltage curve. The extracted parameters using MCO are compared to contemporary research publications on metaheuristic optimization algorithms, iterative approaches, and analytical methods. …”
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Parameter Extraction for Photovoltaic Models with Flood-Algorithm-Based Optimization by Yacine Bouali, Basem Alamri

“…Accurately modeling photovoltaic (PV) cells is crucial for optimizing PV systems. Researchers have proposed numerous mathematical models of PV cells to facilitate the design and simulation of PV systems. …”
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Evaluating mangroves as nature-based solutions for coastal protection under current and future sea level rise scenarios by Philip-Neri Jayson-Quashigah, Philip-Neri Jayson-Quashigah, Joanna Staneva, Wei Chen, Bughsin’ Djath, Edem Mahu, Kwasi Appeaning Addo

“…The baseline model was validated against measured coastal profiles, and the results show accurate predictions of sediment volume changes with an overall RMSE of 0.75 m. Based on the calibrations, we explored the effects of mature mangroves at varying densities on the berm and within the intertidal zone under current and projected sea level conditions, on coastal erosion. …”
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Predicting Ocean Current Temperature Off the East Coast of America with XGBoost and Random Forest Algorithms Using Rstudio by Lulut Alfaris, Anas Noor Firdaus, Ukta Indra Nyuswantoro, Ruben Cornelius Siagian, Aldi Cahya Muhammad, Rohana Hassan, Rodulfo T. Aunzo, Jr., Reza Ariefka

“…This research investigates the comparative predictive efficacy of two leading machine learning methodologies, specifically the XGBoost and Random Forest models, in estimating ocean temperature dynamics in the TS Gulf Stream and Labrador Current regions along the east coast of North America. …”
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Earthworm optimization algorithm for extracting parameters for solar cells and photovoltaic modules by Fatima Wardi, Mohamed Louzazni, Mohamed Hanine

“…The EOA in foraging also shows clear superiority in RMSE across the three model configurations (SD, DD, and TD). …”
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Optimization and Estimation of the State of Charge of Lithium-Ion Batteries for Electric Vehicles by Luc Vivien Assiene Mouodo, Petros J. Axaopoulos

“…This article highlights the precise estimation of the state of charge (SOC) applied to four models of lithium-ion batteries (Turnigy, LG, SAMSUNG, and PANASONIC) for electric vehicles in order to ensure optimal use of the battery and extend its lifespan, which is frequently influenced by certain parameters such as temperature, current, number of charge and discharge cycles, and so on. …”
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