JASBO: Jaya Average Subtraction Based Optimization with Deep Learning Model for Multi-Classification of Infectious Disease from Unstructured Data by Vian Sabeeh, Ahmed Bahaaulddin A. Alwahhab, Ali Abdulmunim Ibrahim Al-kharaz

“…Medical documents are considered an essential source for modern, invented, and robust analysis methods for accurate infection diagnoses. …”
Get full text

Optimization of Soft X-Ray Fresnel Zone Plate Fabrication Through Joint Electron Beam Lithography and Cryo-Etching Techniques by Maha Labani, Vito Clericò, Enrique Diez, Giancarlo Gatti, Mario Amado, Ana Pérez-Rodríguez

Get full text

A numerical method for solving ill-posed problems for two-dimensional integral equations of the first kind by Igor Eduardovich Naats, Victoria Igorevna Naats, Roman Andreevich Ryskalenko

“…The paper describes the formulation of the problem, highlighting the existing problems that need to be resolved, developed and validated a suitable numerical method. It uses the theoretical bases and methods of functional analysis, computational mathematics, theory of solution of incorrectly formulated problems of the theory of calculus of variations and optimization methods. …”
Get full text

Using Sono-Electro-Persulfate Process for Atenolol Removal from Aqueous Solutions: Prediction and Optimization with the ANFIS Model and Genetic Algorithm by Nasrin Zahedi, Bahare Dehdashti, Farzaneh Mohammadi, Maryam Razaghi, Zeynab Moradmand, Mohammad Mehdi Amin

“…The sono-electro persulfate process can be mentioned as a new and effective method for removing ATN from water sources.…”
Get full text

Innovative Sandia Frequency Shift Islanding Detection for Microgrids Using Interval Type-II Fuzzy Logic and VP-PSO Optimization by Mehrdad Ahmadi Kamarposhti, Hassan Shokouhandeh, Yeonwoo Lee, Sun-Kyoung Kang, Ilhami Colak, El Manaa Barhoumi, Kei Eguchi

“…This paper presents an innovative islanding detection method (IDM) that combines interval type-2 fuzzy logic with the Sandia frequency shift (SFS) technique for enhanced microgrid protection. …”
Get full text

Distributionally robust optimization-based scheduling for a hydrogen-coupled integrated energy system considering carbon trading and demand response by Zhichun Yang, Lin Cheng, Huaidong Min, Yang Lei, Yanfeng Yang

“…This study proposes a two-stage distributionally robust optimization (DRO)-based scheduling method to improve the economic efficiency and reduce carbon emissions of HIES. …”
Get full text

Multiobjective Time-Space Grid Optimization of Lithium-Ion Electrochemical Model Based on Stability Analysis and Limit Region Decoupling Strategy by Libin Zhang, Minghang Zhang, Hongying Shan, Guan Xu, Jingsheng Dong, Xuemeng Bai

“…This study proposes a time space grid optimization method based on the single particle model with electrolyte dynamics (SPMe) to enhance the computational efficiency and accuracy of electrochemical models while achieving a trade-off between voltage estimation precision and computational time. …”
Get full text

Ecological network construction and optimization of typical resource-based regions, and strategies for the enhancement of multiple ecosystem services: Balancing function and struct... by Shaoqing Wang, Yanling Zhao, Qiyuan Wang, He Ren, Shichao Zhu, Jiarui Cao

“…Therefore, this study proposed a new conceptual model and method for constructing ENs in resource-based regions and a novel optimization framework. …”
Get full text

Layer-by-Layer Engineering of Black Seed Oil Based SNEDDSs (BSO-SNEDDSs): Optimizing Chemical Stability and Bioavailability in Ramipril Formulations by Shahba AAW, Sherif AY, Elzayat EM, Ali S, Kazi M

Get full text

Human-Centered Design of an mHealth Tool for Optimizing HIV Index Testing in Wartime Ukraine: Formative Research Case Study by Nancy Puttkammer, Elizabeth Dunbar, Myroslava Germanovych, Mariia Rosol, Matthew Golden, Anna Hubashova, Vladyslav Fedorchenko, Larisa Hetman, Liudmyla Legkostup, Jan Flowers, Olena Nesterova

Get full text

How High Efficiency of the Chilean stock Market Does Impact on Energy Transition? Research Using Deep seek AI Optimization by A. Yu. Mikhaylov, N. B. A. Yousif, J. An

“…The methodology is based on the Kramer-von Mises method and market performance assessment tests using Deep Seek AI optimization. …”
Get full text

Lipase production from Bacillus safensis VC-6 isolated from the volcanic region of Copahue: optimization and functional genomic insights by Valeria Foronda, Valeria Foronda, Valeria Castellanos, Claudia Hoepfner, Claudia Hoepfner, Daniel Guzmán, Héctor Guzmán, Jerry L. Solis

“…Lipase production from various microorganisms is well-studied. However, optimization studies remain limited for lipases sourced from halotolerant bacteria, such as Bacillus safensis strain VC-6, known to grow above 10% (w/v) NaCl and 50°C. …”
Get full text

Optimizing Power Supply Scheduling for Offshore Stand-Alone Microgrids: A Novel Framework considering Load and Fuel Procurement Uncertainties by Alireza Karimi Saeidabadi, Soodabeh Soleymani, Babak Mozafari, Hossein Mohammadnezhadshourkaei

“…This paper uses hybrid IGDT/stochastic optimization techniques for load and PV uncertainties and a novel wind-based method for fuel procurement uncertainties. …”
Get full text

OPTIMIZATION OF “PAS COFFEE ROASTERY” WORK ACTIVITIES USING THE TOTAL QUALITY MANAGEMENT (TQM) CONCEPT AT CLASS IIA METRO PRISON by Muhammad Farhan Nasyt, Lauditta Indahdewi

“…The study used a qualitative method with 5 informants as research subjects, with primary and secondary data sources obtained from Class IIA Metro Prison. …”
Get full text

Refined Urban Functional Zones Identification via Empirical Bayesian Kriging: A POI-Weighted Scoring Innovation by Xuan Du, Yisha Pan, Xiaoyan Yang, Longgao Chen, Liangchen Liu, Ying Lin

“…Additionally, the incorporation of multi-source data enables the extraction of traffic and ecological zones, facilitating the identification of non-building-reliant zones within the city, thereby enhancing the completeness and comprehensiveness of urban spatial recognition. 3) The overall accuracy achieved is 84.4%, with a Kappa coefficient of 0.804 for the classification results, which represents a significant improvement in UFZs identification accuracy compared to traditional methods and offers a robust scientific basis for urban planning and resource optimization.…”
Get full text

Optimal Allocation of Irrigation Water Under Different Flow Scenarios Using Multi-stage Stochastic Programming by Emphasizing Economic Productivity by Leila Amanat.Behbahani, Mahnoosh Moghaddasi, Hossain Ebrahimi, Hossein Babazadeh

“…In this study, the aim was to allocate and distribute water between networks and lower crops of Maroon reservoir dam The multi-stage stochastic programming method was used to develop the optimization model under three scenarios of arid, normal and wet years in two management modes and the results were compared with the traditional management figures. …”
Get full text

Estimating lake okeechobee’s water volume using NDWI-derived remote sensing and genetic algorithm optimization on Google Earth Engine by Golmar Golmohammadi, Hamid Reza Eslami, Rashid Rasouli Harouni, Kamyab Eslami, Mahin Jamali, Seyed Mostafa Biazar, Kourosh Mohammadi

Get full text

Enhanced Dynamic Expansion Planning Model Incorporating Q-Learning and Distributionally Robust Optimization for Resilient and Cost-Efficient Distribution Networks by Gang Lu, Bo Yuan, Baorui Nie, Peng Xia, Cong Wu, Guangzeng Sun

“…However, the unpredictability and intermittency of renewable sources such as wind and photovoltaic (PV) systems introduce significant challenges for distribution network planning. …”
Get full text

Design and Optimization of a Robust Wide‐Area Damping Controller for Mitigating Inter‐Area Oscillations in Wind‐Integrated Power Systems by Mehrdad Ahmadi Kamarposhti, Hassan Shokouhandeh, Sun‐Kyoung Kang, Ilhami Colak, El Manaa Barhoumi

“…ABSTRACT In power networks, low‐frequency oscillations—particularly inter‐area oscillations—pose a serious threat to system stability because of disruptions like short‐circuit faults and the increasing use of renewable energy sources like wind farms. To lessen the negative impacts of time delays when sending distant signals, this study presents a novel approach for the creation and optimization of a wide‐area damping controller (WADC). …”
Get full text

Efficiency Optimization Control Strategies for High-Voltage-Ratio Dual-Active-Bridge (DAB) Converters in Battery Energy Storage Systems by Hui Ma, Jianhua Lei, Geng Qin, Zhihua Guo, Chuantong Hao

“…Addressing the critical challenge of enhancing bidirectional power transfer efficiency under ultra-high step-up ratios, which is essential for integrating renewable energy sources and battery storage systems into modern power grids, an optimized control strategy is proposed. …”
Get full text