Synergistic Effects of Polypropylene Fibers and Silica Fume on Structural Lightweight Concrete: Analysis of Workability, Thermal Conductivity, and Strength Properties. [PDF]
Akbulut ZF +4 more
europepmc +1 more source
Digital Twin Integration in Project Life Cycle Management—A Review
This study explores the integration of digital twin (DT) technology within project life cycle management (PLM), focusing on its transformative impact on industries like aerospace, automotive, healthcare, and construction. By creating real‐time virtual models synchronized with physical assets, DTs enable predictive maintenance, operational optimization,
Md. Injamamul Haque Protyai +2 more
wiley +1 more source
HADA: A Hybrid Anomaly Detection Approach Using Unsupervised Machine Learning
Overview of HADA, an unsupervised fraud detection pipeline that preprocesses and scales transaction data, applies PCA for dimensionality reduction, scores anomalies using Isolation Forest, selects anomalous transactions via thresholding, and clusters the selected anomalies using Agglomerative Hierarchical Clustering (AHC) to produce interpretable ...
Francis Thiong'o +3 more
wiley +1 more source
Synergistic Effects of Waste Glass Powder, High-Frequency Ultrasonic Dispersion, and Liquid Glass Treatment on the Properties of Aluminum-Based Ultra-Lightweight Concrete. [PDF]
Serelis E +4 more
europepmc +1 more source
ABSTRACT A significant portion of existing reinforced concrete (RC) structures in seismically active regions was constructed prior to the adoption of modern seismic design standards, leaving them highly susceptible to earthquake‐induced damage. The vulnerabilities of these structures, often exacerbated by material degradation, have been starkly ...
İsmail Ozan Demirel +3 more
wiley +1 more source
Digital Image Correlation-Based Investigation of the Shear Performance of Connection Systems of Assembled Bamboo Scrimber-Lightweight Concrete Composite Beams. [PDF]
Wang Z, Wang F, Liu H.
europepmc +1 more source
The graphical abstract presents the concept of applying machine‐learning algorithms to assess the performance of photovoltaic modules. Data from solar panels are fed to surrogates of intelligent models, to assess the following performance metrics: identifying faults, quantifying energy production and trend degradation over time. The combination of data
Nangamso Nathaniel Nyangiwe +3 more
wiley +1 more source
Roles of superabsorbent polymers (SAPs) and palm oil fuel ash (POFA) on the strength, cost analysis and CO2 emission of lightweight concrete: Comparison with aluminum-based aerated concrete. [PDF]
Kunchariyakun K +3 more
europepmc +1 more source
This study presents a deep learning framework for the automated authentication of 15 medicinal Apiaceae species using digital images of their mericarps. The pipeline integrates an augmentation module—incorporating rescaling, rotation, and flipping—to improve model generalization, followed by feature extraction using pre‐trained DenseNet121 as the core ...
Elyas Aryakia, Ersam Aryakia
wiley +1 more source
Examining the Workability, Mechanical, and Thermal Characteristics of Eco-Friendly, Structural Self-Compacting Lightweight Concrete Enhanced with Fly Ash and Silica Fume. [PDF]
Akbulut ZF +4 more
europepmc +1 more source

