An interpretable framework for risk management in TBM excavation using expert elicitation integrated with fuzzy set theory by Kibeom Kwon, Minkyu Kang, Young Jin Shin, Byoungcheol Ahn, Hangseok Choi

“…This study proposes an interpretable risk management method that effectively addresses these uncertainties and concurrent sources. …”
Get full text

Siamese Graph Convolutional Split-Attention Network with NLP based Social Sentimental Data for enhanced stock price predictions by Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni

“…Two data sources feed the model: specifically, NIFTY-50 Stock Market and real-time Twitter sentiment. …”
Get full text

NSGA-II-based load resource management for frequency and voltage support by Yaxin Wang, Zhihang Zhu, Zhihong Yu, Zigan Wang

“…This is primarily due to the fluctuating and intermittent nature of renewable energy sources and the uncertain electricity demand. To address these issues, this study proposes a load resource management (LRM) method to cope with the sudden power disturbances. …”
Get full text

New anchovy burgers: a sustainable and nutritious alternative to red meat in fast food by Giovanni Luca Russo, Antonio L. Langellotti, Rossella Di Monaco, Gabriele Buonocunto, Francesca Colonna, Nunzio Velleca, Anna Ilaria Di Paola, Lucia Avella, Silvana Cavella, Paolo Masi

“…Abstract This study presents an innovative anchovy burger formulation optimized using response surface methodology and Ideal Profile method. …”
Get full text

Adaptive non-parametric kernel density estimation for under-frequency load shedding with electric vehicles and renewable power uncertainty by Feng Renhai, Wajid Khan, Afshan Tariq, Muhammad Abbas, Muhammad Zain Yousaf, Abdul Aziz, Mohit Bajaj, Mustafa Abdullah, Milkias Tuka

“…Abstract As power systems around the world shift to incorporate more renewable energy sources, particularly wind power, maintaining grid stability becomes increasingly challenging due to the inherent variability of these sources. …”
Get full text

On the machine learning algorithm combined evolutionary optimization to understand different tool designs’ wear mechanisms and other machinability metrics during dry turning of D2... by Muhammad Sana, Muhammad Umar Farooq, Sana Hassan, Anamta Khan

“…Lastly, an evolutionary optimization method is applied to democratize multi-objective process characteristics’ learnings to facilitate machinists and users within manufacturing community. …”
Get full text

Mitigating malicious denial of wallet attack using attribute reduction with deep learning approach for serverless computing on next generation applications by Amal K. Alkhalifa, Mohammed Aljebreen, Rakan Alanazi, Nazir Ahmad, Sultan Alahmari, Othman Alrusaini, Ali Alqazzaz, Hassan Alkhiri

“…For the DoW attack mitigation process, the bi-directional long short-term memory multi-head self-attention network (BMNet) method is employed. Finally, the hyperparameter tuning is accomplished by implementing the secretary bird optimizer algorithm (SBOA) method to enhance the classification outcomes of the BMNet model. …”
Get full text

Patient-focused drug development and real-world study by Haiyin Hu, Hui Wang, Lin Ang, Menglong Shi, Xiaolei Wu, Chenyao Zhang, Mei Han, Shigang Liu, Kai Li, Junhua Zhang, Zhaochen Ji

“…The aim of this review was to promote research method innovation and optimize clinical research design and implementation. …”
Get full text

Construction of an Ecological Security Structure in Fuzhou City of Jiangxi Provicne Based on an MCR Model by Chen Qun, Liu Pinghui, Zhu Chuanmin

“…[Methods] Fuzhou City of Jiangxi Provicne was used as a research area. …”
Get full text

A new stochastic multi-objective model for the optimal management of a PV/wind integrated energy system with demand response, P2G, and energy storage devices by Hossein Faramarzi, Navid Ghaffarzadeh, Farhad Shahnia

“…To demonstrate the effectiveness of the proposed approach, the results obtained from applying the proposed algorithm are compared with the results from analyzing the problem using GAMS software and the multi-objective seagull optimization algorithm (MOSOA). The proposed method enhances flexibility and ultimately increases system stability while maintaining diversity in energy sources. …”
Get full text

Quantitative Analysis of Isoflavones from <i>Fabaceae</i> Species and Their Chemopreventive Potential on Breast Cancer Cells by Wojciech Paździora, Karolina Grabowska, Paweł Zagrodzki, Paweł Paśko, Ewelina Prochownik, Irma Podolak, Agnieszka Galanty

“…The optimal extraction method was a 60 min reflux with 50% methanol and a plant material-to-solvent ratio of 1:125. …”
Get full text

A Comprehensive Review on Uncertainty and Risk Modeling Techniques and Their Applications in Power Systems by Peyman Afzali, Seyed Amir Hosseini, Saeed Peyghami

“…The results show Monte Carlo simulation combined with the K-Means method is consistently a more accurate uncertainty model for wind speeds, closely aligning with real-case scenarios, compared to other methods such as Markov Chain Monte Carlo (MCMC), robust optimization (RO), and information-gap decision theory (IGDT).…”
Get full text

Optimization of rice husk ash, Moringa oleifera powder, biochar, and okra seed powder for turbidity and color removal in the Turag and Buriganga Rivers using response surface metho... by Md. Habibur Rahman Bejoy Khan, Tahmeed Ahmed, Amimul Ahsan, Md. Rezaul Karim, Fuad Bin Nazrul, Chowdhury Sakif Ahbab, Md. Wali Ullah Riman, Md. Tajbiul Haque Auni, Md. Reduan Rahman

“…RSM regression models highlighted significant interaction effects between dosage and duration, emphasizing the importance of source-specific treatment strategies. These findings establish natural coagulants as cost-effective, sustainable alternatives to conventional treatment methods. …”
Get full text

Hybrid Technology of Water Purification Based on the Method of Dosing Sorption Material for Water Treatment Systems of Thermal Power Plants and Water Supply by Filimonova A.A., Vlasova A.Yu., Chichirov A.A., Kamalieva R.F.

“…Anthropogenic load significantly reduc-es the efficiency of purification according to the current technology, therefore, additional post-treatment methods must be used to obtain purified water of the required quality. …”
Get full text

Available methods to enhance regenerative potential of plastic materials for bone defects replacement in orthopedics. Part 1. Autologous platelet rich plasma by A. M. Fayn, A. Yu. Vaza, S. F. Gnetetskiy, K. I. Skuratovskaya, V. B. Bondarev, Yu. A. Bogolyubskiy, R. S. Titov, A. Yu. Sergeev

“…The main method of surgical treatment of patients with post-traumatic disorders of bone regeneration is the use of bone grafting. …”
Get full text

Are treatment plans optimized on the basis of acuros XB dose calculation robust against anatomic changes during online adaptive radiotherapy for lung cancer regarding dose homogene... by Khouya Aymane, Santiago Alina, Ringbaek Toke, Guberina Nika, Guberina Maja, Gauler Thomas, Lübcke Wolfgang, Zylka Waldemar, Pöttgen Christoph, Stuschke Martin

“…Dose homogeneity of the scheduled plans, optimized on planning CT (CTplan), was verified on the initial CBCT of a dose fraction (CBCT1). …”
Get full text

Real-Time TECS Gain Tuning Using Steepest Descent Method for Post-Transition Stability in Unmanned Tilt-Rotor eVTOLs by Choonghyun Lee, Ngoc Phi Nguyen, Sangjun Bae, Sung Kyung Hong

“…The proposed method integrates gain adaptation directly into the TECS loop, optimizing control actions based on instantaneous flight states such as altitude and energy-rate errors. …”
Get full text

POSSIBILITIES AND APPROACHES OF TEACHING OF HISTORY OF RUSSIA TO UNIVERSITY STUDENTS (THROUGH THE EXAMPLE OF HISTORICAL MATERIALS ON THE AGRARIAN QUESTION AND OF THE RUSSIAN SOCI... by Sergei N. Folomeev

“…The purpose of the study is to optimize the methods of its presentation, identification and comprehensive assessment of the academic aspects of this topic, justifying their role and importance for the quality of learning. …”
Get full text

Deep learning-based anomaly detection for precision field crop protection by Cheng Wei, Yifeng Shan, MengZhe Zhen

“…Anomaly detection plays a critical role in identifying and addressing irregularities, such as pest outbreaks, disease spread, or nutrient deficiencies, that can negatively impact yield. Traditional methods struggle with the complexity and variability of agricultural data collected from diverse sources.MethodsTo address these challenges, we propose a novel framework that integrates the Integrated Multi-Modal Smart Farming Network (IMSFNet) with the Adaptive Resource Optimization Strategy (AROS). …”
Get full text

SYSTEMATIC ANALYSIS OF PERSPECTIVE TRENDS IN ECOLOGICAL AND BIOLOGICAL STUDIES OF THE CASPIAN SEA by G. M. Abdurakhmanov, A. F. Sokolsky, G. A. Kuanysheva, E. A. Sokolskaya, Yu. M. Brumshteyn

“…Analysis and mathematical processing of published literature sources has convincingly demonstrated the need for international cooperation to optimize the ecological and biological research. …”
Get full text