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

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

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

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

Harmonization of multi-center diffusion tensor tractography in neonates with congenital heart disease: Optimizing post-processing and application of ComBat by Benjamin Meyers, Vincent K. Lee, Lauren Dennis, Julia Wallace, Vanessa Schmithorst, Jodie K. Votava-Smith, Vidya Rajagopalan, Elizabeth Herrup, Tracy Baust, Nhu N. Tran, Jill V. Hunter, Daniel J. Licht, J. William Gaynor, Dean B. Andropoulos, Ashok Panigrahy, Rafael Ceschin

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

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

Location Allocation of Biorefineries for a Switchgrass-Based Bioethanol Supply Chain Using Energy Consumption and Emissions by Seyed Ali Haji Esmaeili, Ahmad Sobhani, Sajad Ebrahimi, Joseph Szmerekovsky, Alan Dybing, Amin Keramati

“…Moreover, imposing emissions or energy consumption penalties makes the optimization model closer to supply sources while having higher land rental costs. …”
Get full text

Comparison of two pre-fuel cell carbon capture systems employing methane decomposition and hydrogen membrane: Regression-based machine learning and optimization approach by Amirali Nouri, Araz Emami, Ata Chitsaz, Alireza Fathipour, Navid Kousheshi, Ava Karshenas

“…This study examines two systems designed to operate with zero carbon dioxide emissions, each utilizing different methods for heat generation to support methane decomposition for hydrogen production. …”
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

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

Current Status, Challenges and Future Perspectives of Operation Optimization, Power Prediction and Virtual Synchronous Generator of Microgrids: A Comprehensive Review by Ling Miao, Ning Zhou, Jianwei Ma, Hao Liu, Jian Zhao, Xiaozhao Wei, Jingyuan Yin

“…Then, the microgrid optimization operation technologies are analyzed in detail, including energy management optimization algorithms for efficient use of energy and cost reduction. …”
Get full text

Distributed Robust Low-Carbon Economic Dispatch of Power Systems Considering Extreme Scenarios by HU Heng, QIN Jianru, LI Haibo, LIU Jiefeng

“…Particularly， tail risks triggered by extreme weather and the dynamic mismatches between stochastic RE fluctuations and conventional unit regulation rates invalidate conventional deterministic scheduling models reliant on typical scenarios. [Methods] To address this， this paper first constructs RE generation scenarios using Latin hypercube sampling （LHS） and modified k-means clustering， verifying their reserve feasibility， while transforming reserve-infeasible scenarios into extreme scenario sets. …”
Get full text

Quality by Design and In Silico Approach in SNEDDS Development: A Comprehensive Formulation Framework by Sani Ega Priani, Taufik Muhammad Fakih, Gofarana Wilar, Anis Yohana Chaerunisaa, Iyan Sopyan

“…This narrative review provides an in-depth analysis of Quality by Design (QbD), Design of Experiment (DoE), and in silico approach applications in SNEDDS development. <b>Methods</b>: The review is based on publications from 2020 to 2025, sourced from reputable scientific databases (Pubmed, Science direct, Taylor and francis, and Scopus). …”
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

Isolation and identification of Alcaligenes faecalis W2-3 with high-yield production of dimethyl disulfide by Pingle Wu, Shuaijun Deng, Jian Li, Xiaodi Wei, Rong Zheng, Xiao Men, Haibo Zhang

“…Through single-factor experimental methods, an initial pH of 7 and temperature ranging from 19.5 to 30 °C were demonstrated to be the optimal fermentation conditions for DMDS production. …”
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

High resistance fault detection in DC microgrid using Hilbert Huang transform and vector-based ensemble optimized LSTM networks by H. K. Prashanth Kumar, Ritesh Dash, K. Jyotheeswara Reddy, Nageswara Rao Atyam, Bhabasis Mohapatra

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