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181
Assessing circular economy practices in architecture, engineering, and construction firms
Published 2025-06-01“…Abstract The rapid growth of population and construction activities has exacerbated environmental issues, necessitating the adoption of Circular Economy (CE) principles in the construction industry. …”
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182
CAMP-GNN: A Constraint-Aware Message-Passing Model for Optimal Resource Allocation in Software Projects
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183
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184
Analysis of load capacity of roof trusses with imperfections and the issue of equivalent load adoption
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185
The OpenESEA Modeling Language and Tool for Ethical, Social, and Environmental Accounting
Published 2023-04-01“…In this article, we present a novel model-driven approach for alleviating managerial issues that arise as a consequence of the complex landscape of ethical, social, and environmental accounting methods and tools. …”
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186
Comprehensive Review of Meta-Learning Methods for Cold-Start Issue in Recommendation Systems
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187
Cloud Resilience: A Comprehensive Review of Infrastructure-as-a-Service Security Issues
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188
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189
Special Issue on Contemporary Research Studies in Operations Research, Business Analytics, and Business Intelligence
Published 2025-06-01“…The conference received over 655+ paper submissions, with 455 selected for presentation. 66 papers were deemed particularly interesting, and authors of 13 promising articles were invited to submit extended versions for a special issue of International Journal of Mathematical, Engineering and Management Sciences (IJMEMS). …”
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190
Chain-of-programming (CoP): empowering large language models for geospatial code generation task
Published 2025-08-01Get full text
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191
A Literature Review on the Challenges of Applying Test-Driven Development in Software Engineering
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192
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193
Enterprise Evolution: A Discussion from Different Perspectives. Editorial Introduction to Issue 34 of CSIMQ
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194
Aero-engine fault diagnosis based on time series anomaly detection
Published 2025-04-01“…The fault diagnosis of aero-engines is confronted with a data skew issue,where the number of fault sam ples is significantly fewer than normal samples,and the fault samples can't adequately represent the entire operating conditions,resulting in poor generalization ability of conventional classification models. …”
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195
Research on aircraft engine thrust estimation method incorporating attention mechanism
Published 2025-04-01“…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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196
Engineered extracellular vesicles with sequential cell recruitment and osteogenic functions to effectively promote senescent bone repair
Published 2025-02-01“…Endogenous cell recruitment and osteogenic differentiation are two sequential stages in bone regeneration, and disruptions in these two processes present significant obstacles to senescent bone repair. To address these issues, engineered extracellular vesicles (EV) with sequential stem cell recruitment and osteogenic functions were developed. …”
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197
Coordinated Evaluation of Technological Innovation and Financial Development in China: An Engineering Perspective
Published 2025-05-01“…A variety of predictors have been proposed to model each subsystem. The coupling degree and the coordination degree are then calculated, and then they are used to analyze the current development status for potential issues. …”
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198
Social Engineering Threat Analysis Using Large-Scale Synthetic Data
Published 2025-02-01“…In this paper, we propose a machine learning model to detect these types of threats. The model is trained using a large synthetic dataset of 10,000 samples to simulate various types of real-world social engineering threats such as phishing, spear phishing, whaling, vishing, smishing, baiting, and pretexting. …”
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199
Enhancing UAS-Based Multispectral Semantic Segmentation Through Feature Engineering
Published 2025-01-01“…However, publications using multispectral data focus on developing specialized models to handle quality issues without considering the imagery itself. …”
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200
A Hybrid Methodology Using Machine Learning Techniques and Feature Engineering Applied to Time Series for Medium- and Long-Term Energy Market Price Forecasting
Published 2025-03-01“…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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