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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

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Open access Sep 2026

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The sustainable alternatives to conventional construction materials are beneficial for infrastructure development. Using recycled coarse aggregate (RA) in concrete makes construction more sustainable.This study investigated the experimental, microstructural performance and machine learning examination of RAC mixes,...

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Open access Sep 2026

Experimental and machine learning-based performance evaluation of ambient-cured geopolymer mortar using microstructural characterisation and ABAQUS numerical analysis

The geopolymer mortar has become a viable substitute for the normal cement mortar due to its light carbon footprint, effective use of industrial wastes and its high durability. The effects of different precursor materials and alkaline activator systems on the fresh, mechanical, microstructural, and structural performan...

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Open access Sep 2026

Slag Content Governs Compressive Strength of Ambient-Cured Alkali-Activated Mortars: An Experimental and Ensemble Machine Learning Study

Alkali-activated materials are a sustainable alternative to Portland cement, yet the relative importance of activator and precursor parameters under ambient curing is unquantified, and literature-trained models are rarely validated against independent mixtures. Twelve fly ash–GGBS mortars were prepared in a 2 × 2 × 3 f...

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Open access Sep 2026

Multifunctional TiO₂-modified cement mortar: experimental investigation, machine learning prediction, and life cycle assessment

TiO₂-modified cement mortar is a multifunctional construction material that enhances both mechanical performance and environmental remediation. This study investigated the photocatalytic activity, compressive strength, machine learning prediction, and life cycle assessment of cement mortars containing 0–12 wt% TiO₂...

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Sep 2026

Machine learning for sustainable concrete incorporating marble waste and recycled aggregate

This study aims to evaluate the mechanical and durability performance of sustainable concrete incorporating Marble Fine Powder (MFP), Marble Coarse Powder (MCP) and Recycled Concrete Aggregate (RCA), and to develop machine learning (ML) models for accurate prediction of concrete properties. A total of 250 ex...

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Application of Nanomaterials and Machine Learning to Evaluate Compressive Strength of Oil Well Cement Based on Experimental Data

Well cementing in the oil and gas industries plays a fundamental role in long-term energy production. Maintaining wellbore integrity for a longer duration is a key challenge facing the energy sector. The use of nanotechnology and machine learning (ML) in enhancing and evaluating well integrity is gaining attention. T...

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