Optimization of the treatment of caries permanent teeth with different degree of enamel resistance beside children with innate unjoining lip and palate by G. G. Ashurov, S. A. Obidov, S. M. Karimov

“…Aim. To select the optimal method for caries treatment of permanent teeth with different degree of enamel cariesresistance in children with innate unjoining lip and palate.   …”
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On Explainability of Reinforcement Learning-Based Machine Learning Agents Trained with Proximal Policy Optimization That Utilizes Visual Sensor Data by Tomasz Hachaj, Marcin Piekarczyk

“…In this paper, we address the issues of the explainability of reinforcement learning-based machine learning agents trained with Proximal Policy Optimization (PPO) that utilizes visual sensor data. …”
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Multi-Source Attention U-Net: A Novel Deep Learning Framework for the Land Use and Soil Salinization Classification of Keriya Oasis in China with RADARSAT-2 and Landsat-8 Data by Yang Xiang, Ilyas Nurmemet, Xiaobo Lv, Xinru Yu, Aoxiang Gu, Aihepa Aihaiti, Shiqin Li

“…Furthermore, Support Vector Machine (SVM), Random Forest (RF), K-Nearest Neighbor (KNN), and deep learning methods including U-Net and MSA-U-Net were employed to identify the different degrees of salinized soil. …”
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Optimizing multi-objective hybrid energy systems with pumped hydro storage for enhanced stability and efficiency in renewable energy integration by Junxian Li, Jiaxin Yuan, Xuxin Yue

“…The investigation primary aim is minimizing the electricity fluctuations’ impact through the renewable enegy sources integration in the large scale. The optimization strategy encompasses a series of complex constraints in term of hydropower plant, in which pumped hydro energy storage provides an accurate flexibity. …”
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Adversarial Reinforcement Learning-Based Converged Communication Efficiency Improvement Method for Power Distribution Network by Linyu PENG, Xu LIU, Wei TANG, Qing LIU, Hao FANG, Guanghui ZHANG

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Sustainable Extraction of Fresh Banana Inflorescence by ASE: Optimization and Characterization of Anthocyanin Rich Extracts by LC-UV-MS/MS by Nuwanthi Senevirathna, Morteza Hassanpour, Ian O’Hara, Azharul Karim

“…Accelerated solvent extraction (ASE) has emerged as an efficient and less energy-consuming method for isolating these compounds. This study investigates the optimization of ASE for the extraction of phenolic compounds, including anthocyanins, from fresh banana inflorescence. …”
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Optimized ultrasound-assisted extraction for phenolic and antioxidant analysis in purple senggani (Melastoma malabathricum) flowers: Influence of developmental stages by Dea Tio Mareta, Umar Santoso, Supriyadi, Widiastuti Setyaningsih

“…This study aimed to optimize the UAE method to analyze phenolic compounds across different flower developmental stages, which affect total phenolic content (TPC) and total antioxidant capacity (TAC). …”
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A robust Logistics-Electric framework for optimal power management of electrified ports under uncertain vessel arrival time by Ilias Sarantakos, Saman Nikkhah, Meltem Peker, Annabel Bowkett, Timur Sayfutdinov, Arman Alahyari, Charalampos Patsios, John Mangan, Adib Allahham, Eleni Bougioukou, Alan Murphy, Kayvan Pazouki

“…An optimal power flow method is developed for a real-life port, with consideration for multiple port logistic assets such as cargo handling equipment, reefers, and renewable energy sources. …”
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Photovoltaic solar energy prediction using the seasonal-trend decomposition layer and ASOA optimized LSTM neural network model by Venkatachalam Mohanasundaram, Balamurugan Rangaswamy

“…To address these challenges, this research introduces an innovative method that integrates Robust Seasonal-Trend Decomposition (RSTL) with an Adaptive Seagull Optimisation Algorithm (ASOA)-optimized Long Short-Term Memory (LSTM) neural network. …”
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Market Oriented Low-Carbon Optimal Scheduling of Virtual Power Plants Considering Multiple User-Side Resources Coordination by Mingbing LI, Qiang LI, Xiyang GUAN, Haoyang ZHOU, Rui LU, Yankun FENG

“…To leverage the synergistic effects of diverse user-side resources, enhance the revenue of Virtual Power Plants (VPPs) participating in the joint electricity-carbon market, and mitigate risks arising from the uncertainty of renewable energy sources (such as wind and solar) and electricity prices, an optimized low-carbon dispatching method for VPPs considering the coordination of diverse user-side resources in a market environment is proposed. …”
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A 57-64 GHz High-gain Amplifier using Ultra-wideband Inductors in the IMNs and Optimization by PCA and SDSM by Ahmadali Ashrafian, Mahmoud Mohammad-Taheri, Mohammad Naser-Moghaddasi, Mehdi Khatir, Behbod Ghalamkari

“…In this paper, the design and optimization of a cascaded common source four-stage millimeter wave amplifier in a 130 nm CMOS technology has been presented. …”
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Improved chaotic fruit fly optimization with elman neural network based data-driven approach on product reviews classification by Mohammed Alghamdi, Najla I. Al-shathry, Yahia Said, Hasan Beyari, Shaymaa Sorour, Khalid Nazim Abdul Sattar, Fouad Shoie Alallah, Abdulrhman Alshareef

“…This article focuses on designing and developing Enhanced NLP with Data-driven Product Reviews Classification using the improved chaotic fruit fly optimization (ENLPPR-ICFFO) method. The major goal of the ENLPPR-ICFFO method is to detect and classify the sentiments existing in product ratings. …”
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Optimal Scheduling Strategy of Wind–Solar–Thermal-Storage Power Energy Based on CGAN and Dynamic Line–Rated Power by Sile Hu, Yuan Gao, Wenbin Cai, Jianan Nan, Ye Li, Muhammad Farhan Khan, Yucan Zhao, Jiaqiang Yang

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Low-Carbon Dispatch Method for Active Distribution Network Based on Carbon Emission Flow Theory by Jiang Bian, Yang Wang, Zhaoshuai Dang, Tianchun Xiang, Zhiyong Gan, Ting Yang

“…This model aims to achieve accurate carbon measurement across all operational aspects of distribution networks, reduce their carbon emissions through controlling unit operations, and ensure stable and safe operation. First, we propose a method for measuring carbon emission intensity on the source and network sides of active distribution networks with network losses, allowing for the calculation of total carbon emissions throughout the operation of networks and their equipment. …”
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Uncertain Parameters Adjustable Two-Stage Robust Optimization of Bulk Carrier Energy System Considering Wave Energy Utilization by Weining Zhang, Chunteng Bao, Jianting Chen

“…To ensure safe and reliable navigation despite uncertainties in wave energy output, onboard power loads, and outdoor temperature, a robust coordination method is adopted. This method employs a two-stage robust optimization (RO) strategy to coordinate the various onboard units across different time scales, minimizing operational costs while satisfying all operational constraints, even in the worst-case scenarios. …”
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Motion Gait Recognition of Lower Limb Exoskeleton Based on Particle Swarm Optimization-Based Extreme Learning Machine Algorithm by Ting Liu, Kai Liu, Wuyi Luo, Jiange Kou, Haoran Zhan, Guangkai Yu, Qing Guo, Yan Shi

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Augmenting cybersecurity through attention based stacked autoencoder with optimization algorithm for detection and mitigation of attacks on IoT assisted networks by Kashi Sai Prasad, E. Laxmi Lydia, M. V. Rajesh, K. Radhika, Janjhyam Venkata Naga Ramesh, N. Neelima, Srinivasa Rao Pokuri

“…Besides, the greylag goose optimization (GGO) method is employed for the feature selection process. …”
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Energy Management of Industrial Energy Systems via Rolling Horizon and Hybrid Optimization: A Real-Plant Application in Germany by Loukas Kyriakidis, Rushit Kansara, Maria Isabel Roldán Serrano

“…Industrial energy systems are increasingly required to reduce operating costs and CO₂ emissions while integrating variable renewable energy sources. Managing these objectives under uncertainty requires advanced optimization strategies capable of delivering reliable and real-time decisions. …”
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Research on the Capacity Allocation Optimization of Island Micro-grid Including Wind Power, Tidal Current Energy and Energy Storage by PANG Jiameng, ZANG Xiaodi

“…The three-objective optimization model uses the multi-objective particle swarm optimization algorithm to solve the established model, and obtains different capacity allocation schemes. …”
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Enhanced nattokinase production by Bacillus subtilis from glycerol and okara: optimization of culture medium via response surface methodology by Yaling Duan, WanTing Du, Yang Xu, Gege Guo, Zhaoxing Liu, Ning Hao

“…Building upon this, fermentation conditions using glycerol as the carbon source and okara as the nitrogen source were optimized. …”
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