Fine monitoring method for mangrove wetland ecosystem based on sentinel data fusion and RF optimization by Shuwen Wang, Taisi Chen, Zimin Li, Haitao Sang

“…The study introduces the Sentinel Data Fusion and RF Optimization-Based Monitoring Model for Mangrove Wetlands (SDF-RF). …”
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Optimizing coverage in wireless sensor networks using deep reinforcement learning with graph neural networks by G. Pushpa, R. Anand Babu, S. Subashree, S. Senthilkumar

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OPTIMIZING HEART ATTACK DIAGNOSIS USING RANDOM FOREST WITH BAT ALGORITHM AND GREEDY CROSSOVER TECHNIQUE by Safrizal Ardana Ardiyansa, Natasha Clarissa Maharani, Syaiful Anam, Eric Julianto

“…However, the efficacy of the model is significantly influenced by the features selected during the training phase. …”
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Sentiment analysis using long short term memory and amended dwarf mongoose optimization algorithm by Haisheng Deng, Ahmed Alkhayyat

“…To enhance the performance long short-term memory (LSTM), the model was optimized using the amended dwarf mongoose optimization (ADMO) algorithm, leading to improvements in the hyperparameters. …”
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Explainable artificial intelligence (XAI) to find optimal in-silico biomarkers for cardiac drug toxicity evaluation by Muhammad Adnan Pramudito, Yunendah Nur Fuadah, Ali Ikhsanul Qauli, Aroli Marcellinus, Ki Moo Lim

“…We also found that the optimal in silico biomarkers selected based on SHAP analysis may be different for various classification models. …”
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Coupling Beams’ Shear Capacity Prediction by Hybrid Support Vector Regression and Particle Swarm Optimization by Emad A. Abood, Mustafa Kamal Al-Kamal, Sabih Hashim Muhodir, Nadia Moneem Al-Abdaly, Luís Filipe Almeida Bernardo, Dario De Domenico, Hamza Imran

“…Analytical results indicate that the new optimized prediction model can assist civil engineers in designing RC coupling beam structures more effectively and outperforms existing models in predicting the shear strength of such beams.…”
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Optimizing Lightweight Recurrent Networks for Solar Forecasting in TinyML: Modified Metaheuristics and Legal Implications by Gradimirka Popovic , Zaklina Spalevic , Luka Jovanovic , Miodrag Zivkovic , Lazar Stosic , Nebojsa Bacanin 

“…This work explores the use of metaheuristic optimization techniques for optimizing recurrent forecasting models to predict power production from solar substations. …”
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Interpretability-Oriented Adjustment of K-Means: A Multiple-Objective Particle Swarm Optimization Framework by Liang Chen, Leming Sun, Caiming Zhong

“…Three objective functions are designed to evaluate the performance of the new clustering results in terms of cluster quality and interpretability. Subsequently, the model utilizes a multi-objective optimization framework to optimize the three objective functions in the solution space formed by different feature subspaces, resulting in a set of Pareto solutions. …”
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An Optimized Dynamic Benefit Evaluation Method for Pumped Storage Projects in the Context of the “Dual Carbon” Goal by Cong Feng, Qi Guo, Qian Liu, Feihong Jian

“…The proposed model expands the theoretical framework for pumped storage benefit evaluation and provides strong support for investment decisions, policy design, and operational strategy optimization.…”
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Human-Centric IoT-Driven Digital Twins in Predictive Maintenance for Optimizing Industry 5.0 by Özlem Sabuncu, Bülent Bilgehan

“…Furthermore, maintenance tasks are adaptively scheduled using built-in reinforcement learning (RL) and optimized model parameters are fine-tuned for improved predictive accuracy using Bayesian optimization. …”
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Reliability-Based Design Optimization Strategy for Soil Tillage Equipment Considering Soil Parameter Uncertainty by Ghias Mohamed Kharmanda, Imad Rezakalla Antypas

“…The objective of this work is to provide an efficient tool of Reliability-Based Design Optimization (RBDO) for soil tillage machine design process in order to achieve designs with a required reliability (safety) level. …”
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Weighted explainable federated learning for privacy-preserving and scalable energy optimization in autonomous vehicular networks by Muhammad Saleem, Ali Arishi, Muhammad Sajid Farooq, M.A. Khan, Khan M. Adnan

“…Traditional centralized machine learning models and cloud-based Energy Management Systems (EMSs) often struggle with real-time adaptability, high-dimensional data processing, and privacy concerns. …”
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Computational intelligence to detect bearing faults using optimal features from motor current signals by G. Geetha, P. Geethanjali

“…The results indicate that machine learning models employing different feature selection techniques exhibit superior performance across different feature dimensions. …”
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Machine Learning Prediction of Henry’s Law Constant for CO₂ in Ionic Liquids and Deep Eutectic Solvents by Dmitriy M. Makarov, Yuliya A. Fadeeva, Arkadiy M. Kolker

“…The optimal predictive models were built using the CatBoost algorithm, leveraging CDK molecular descriptors for ILs and RDKit descriptors for DESs. …”
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Automated brain tumor recognition using equilibrium optimizer with deep learning approach on MRI images by Mahmoud Ragab, Iyad Katib, Sanaa A. Sharaf, Hassan A. Alterazi, Alanoud Subahi, Sana G. Alattas, Sami Saeed Binyamin, Jaber Alyami

“…Besides, the squeeze-excitation ResNet (SE-ResNet50) model is applied to derive feature vectors, and its parameters are fine-tuned by the design of the EO model. …”
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SIMULATION ANALYSIS AND OPTIMIZATION DESIGN OF THE FLEXIBLE DYNAMICS OF A NEW TYPE OF WHEELCHAIR CLIMBING MECHANISM by ZHU Hua, YANG Hui

“…Got movement characteristic curve of direct component mechanical foot 1 in the machine,and put forward the improvement scheme towards its unstable phenomenon; At the same time doing kinetics analysis,got the equivalent displacement of constructions of stair wheelchair and the change of time curve of equivalent stress of members of the gym agencies,completed kinematic analysis and dynamic analysis of mechanical system of flexible body of gym mechanism; Finally optimized the design of the ladder mechanism,the optimization result was reduced20. 74% than the quality of the original model,and reduced the manufacturing of raw materials,meanwhile provided theoretical basis for optimization design of this kind of wheelchair.…”
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Optimal Structure to Maximize Torque per Volume for the Consequent-Pole PMSM and Investigating the Temperature Effect by Alireza Hosseinpour, Ahmed Abbas, Mahmoud Oukati Sadegh, Atif Iqbal, Aymen Flah, Lukas Prokop, Enas Ali, Ramy N. R. Ghaly

“…Hence, first, a two-dimensional model of CPPMSM is explained based on solving Maxwell’s equations in all regions of the machine. …”
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Application of Multi-Objective Optimization for Path Planning and Scheduling: The Edible Oil Transportation System Framework by Chin S. Chen, Chia J. Lin, Yu J. Lin, Feng C. Lin

“…This model is integrated with a 3D visual human–machine interface(HMI) that displays the status of each task before execution and provides real-time scheduling adjustment and decision-making support. …”
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Evaluation of Advances in Battery Health Prediction for Electric Vehicles from Traditional Linear Filters to Latest Machine Learning Approaches by Adrienn Dineva

“…In conclusion, this paper identifies promising future research directions aimed at optimizing hybrid models and overcoming existing constraints to advance SOH estimation and battery management in Electric Vehicles.…”
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Developing machine learning frameworks to predict mechanical properties of ultra-high performance concrete mixed with various industrial byproducts by Kennedy C. Onyelowe, Shadi Hanandeh, Nestor Ulloa, Ruth Barba-Vera, Arif Ali Baig Moghal, Ahmed M. Ebid, Krishna Prakash Arunachalam, Ateekh Ur Rehman

“…Various machine learning models, including Kstar, M5Rules, ElasticNet, XNV, and Decision Table (DT), were evaluated to determine the most accurate predictions for each property. …”
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