Improved aquila optimizer for swarm-based solutions to complex engineering problems by Himanshu Sharma, Krishan Arora, Raghav Mahajan, Syed Immamul Ansarullah, Farhan Amin, Hussain AlSalman

“…The achieved results demonstrate that the proposed model outperforms various champion algorithms. Secondly, the proposed algorithm is applied to five real-world engineering problems. …”
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Research on aircraft engine thrust estimation method incorporating attention mechanism by ZOU Yuhang, ZHAO Yongping

“…This study aims to enhance the accuracy and practicality of thrust estimation models for aero engines. The research first constructs a multi-task LSTM-Attention model that integrates Long Short-Term Memory（LSTM） and attention mechanisms for time series forecasting. …”
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USP5 inhibition via bone marrow-targeted engineered exosomes for myeloproliferative neoplasms therapy by Wenjun Wang, Yufeng Jiang, Donglei Zhang, Xian Zhang, Qian Liang, Jun Shi, Yuan Zhou, Fuling Zhou

“…We developed engineered exosomes (USP5@Exosome-CP) co-expressing CXCR4 and a P-selectin-targeting peptide to enhance BM targeting. …”
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Simulation and Study of Power Quality Issues in a Fixed Speed Wind Farm Substation by T. Magesh, C. Chellamuthu

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A multi-faceted review of wind turbine optimization techniques: Metaheuristics and related issues by Hegazy Rezk, Abdul Ghani Olabi, Tabbi Wilberforce, Enas Taha Sayed

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Job recommender systems: a systematic literature review, applications, open issues, and challenges by Duygu Çelik Ertuğrul, Selin Bitirim

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A Hybrid Methodology Using Machine Learning Techniques and Feature Engineering Applied to Time Series for Medium- and Long-Term Energy Market Price Forecasting by Flávia Pessoa Monteiro, Suzane Monteiro, Carlos Rodrigues, Josivan Reis, Ubiratan Bezerra, Maria Emília Tostes, Frederico A. F. Almeida

“…In the electricity market, the issue of contract negotiation prices between generators/traders and buyers is of particular relevance, as an accurate contract modeling leads to increased financial returns and business sustainability for the various participating agents, encouraging investments in specialized sectors for price forecasting and risk analysis. …”
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Dynamic Multi-Model Container Framework for Cloud-Based Distributed Digital Twins (dDTws) by Nidhal Al-Sadoon, Raimar J. Scherer, Christoph F. Strnadl

“…Existing Building Information Modeling (BIM) and Common Data Environment (CDE) frameworks often fall short in addressing these issues due to their reliance on centralized and proprietary systems. …”
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Examining the Application Possibilities and Economic Issues of an Alternative Drive Chain in Hungary: Scenario Analysis by Adrienn Boldizsár, Ádám Török, Norina Szander

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On the issue of creating the optimal last stage of powerful steam turbines of nuclear power plants by T. V. Bogomolova, G. A. Ahmadzadeh

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Solutions for Lithium Battery Materials Data Issues in Machine Learning: Overview and Future Outlook by Pengcheng Xue, Rui Qiu, Chuchuan Peng, Zehang Peng, Kui Ding, Rui Long, Liang Ma, Qifeng Zheng

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Issues of Designing Effective Educational Programs in the Field of “Applied Informatics” in the Conditions of Innovative Development by Yu. F. Telnov, M. S. Gasparian, M. A. Filyuk

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Current Usage Patterns of Open Educational Resources in the Engineering Mechanics Classroom and Barriers to Adoption by Jacob Moore, Thomas Reinsfelder

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Review of Integrated Management Systems to Re-Engineer Existing Nonconformances Troubleshooting System by Matshidiso Moso, Oludolapo Akanni Olanrewaju

“…Hence, the aim of this research is for troubleshooting model technique enhancement for issues related to process engineering, quality management systems and occupational health and safety by creating a model which analyses kaizen projects from the corrective and preventive action analysis of nonconformances. …”
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Software engineering meets legal texts: LLMs for auto detection of contract smells by Moriya Dechtiar, Daniel Martin Katz, Hongming Wang

“…In this work, we examine parallels between software engineering and legal contract drafting and analysis. …”
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Generative Artificial Intelligence in Architecture, Engineering, Construction, and Operations: A Systematic Review by Shoeb Ahmed Memon, Waled Shehata, Steve Rowlinson, Riza Yosia Sunindijo

“…There is a limited understanding of how GenAI is adopted in current practice and its potential to improve future practice in architecture, engineering, construction, and operations (AECO). Using a systematic literature review approach, this study aims to map the current issues in applying GenAI. …”
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eXplainable Artificial Intelligence in Process Engineering: Promises, Facts, and Current Limitations by Luigi Piero Di Bonito, Lelio Campanile, Francesco Di Natale, Michele Mastroianni, Mauro Iacono

“…To effectively address the ethical issues now being examined by the government, AI models must be explainable in order to be used in both scientific and societal contexts. …”
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Ontological approach to modeling innovation processes on the example of a distributed educational network of the University by D. G. Korneev, M. S. Gasparian, A. A. Mikryukov

“…At present, research in this area mainly concerns issues such as the use of multimedia technologies and simulation programs, knowledge testing technologies based on the competency model, methods for measuring the degree of satisfaction with the quality of training, and management methods based on the portfolio of students. …”
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Adaptive Dynamic Thresholding Method for Fault Detection in Diesel Engine Lubrication Systems by Tingting Wu, Hongliang Song, Hongli Gao, Zongshen Wu, Feifei Han

“…Employing an algorithm for inferring dynamic relationships among multiple parameters of the lubrication system builds an adaptive threshold detection model. Extensive diesel engine tests and actual fault data demonstrate that the proposed method can address the issues of missed faults encountered by static threshold methods and the low detection accuracy of machine learning approaches without the need for fault samples. …”
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Predictive Framework for Sustainable Engineering through Machine Learning and Cross-Sector Collaboration by Choudhary Abhik, Adhikari Upasana, Roy Dipankar, Gupta Subir, Roy Priyanka, Bhaduri Aparna

“…Accomplishing Sustainable engineering rests on careful collaboration across disciplines to solve challenges of the modern world; this includes climate change, resource management, and socio-economic issues. …”
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