Higher Institute of Engineering

A Novel Strategy for Developing Engineered Cementitious Composites: Synergistic Incorporation of Volcanic Materials and PE-PVA Fibers

Engineered cementitious composites (ECC) are primarily designed to enhance ductility, achieving strain-hardening behavior and controlled micro-cracking. Key constituents typically include cement, fine aggregates, fly ash, and polymeric fibers. This study aims to replace conventio...

DC-CPT — Physiophronesis: Decision Governance for Autonomous Additive Manufacturing — Reproducibility Package

This repository contains the reproducibility package for DC-CPT — Physiophronesis, including source code, computational resources, experimental results, figures, documentation, and supporting materials required to reproduce the analyses and results reported in the associated rese...

Optimal design of hybrid renewable energy conversion systems using two configurations and four different algorithms for a rural village in Egypt

Abstract Decentralized energy systems can significantly enhance living circumstances in remote areas without a grid connection. This paper formulates a hybrid renewable energy model for a rural Egyptian village. The system includes PV, wind, biomass generator, battery storage, an...

DC-CPT — Physiophronesis: Decision Governance for Autonomous Additive Manufacturing — Reproducibility Package

This repository contains the reproducibility package for DC-CPT — Physiophronesis, including source code, computational resources, experimental results, figures, documentation, and supporting materials required to reproduce the analyses and results reported in the associated rese...

Quadrature amplitude modulation based radio over fiber orthogonal frequency division multiplexing (RoF-OFDM) performance optimization using OptiSystem simulation for spectral efficiency enhancement

Abstract This paper has demonstrated the quadrature amplitude modulation (QAM) based radio over fiber orthogonal frequency division multiplexing (RoF-OFDM) performance optimization using OptiSystem simulation for spectral efficiency enhancement. The spectral system efficiency can...

Fracture Energy and Crack Resistance of Hybrid Fiber-Reinforced High-Strength Concrete: Experimental Study and Analytical Modeling

Abstract This study examines the fracture and mechanical performance of hybrid fiber-reinforced high-strength concrete (HFRHSC) with different water-to-binder (W/B) ratios. Six mixtures incorporating hybrid combinations of steel, polymer, glass, and basalt fibers were investigate...

Reducing Peak Load Underprediction Through Risk-Aware Upper Quantile Forecasting: A University Laboratory Case Study

Underprediction of high electrical demand can be more operationally consequential than an equally sized overprediction, yet standard point forecasting models are optimized primarily for average error. This case study evaluates a multivariate quantile Transformer as a safety-orien...

Operational Availability Assessment of Tidal Stream Turbines Using Environmental Data and Fuzzy Logic Inference

In hybrid energy systems, maintaining an optimal scheduling strategy for real-time distribution systems, particularly in triple hybrid power generation units, remains a critical challenge. The lack of an efficient real-time observability platform for off-grid hybrid units directl...

Computer Vision and the Metaverse: Shaping the Future of Immersive Digital Worlds

Abstract Background: As the metaverse rapidly evolves into a highly immersive digital environment, the boundaries separating the physical and virtual worlds are becoming increasingly blurred. A foundational driving force behind this transformation is computer vision—a subset of a...

The Role of Metavese in Image Segmentation: Recent Contributions and Applications

Abstract Digital interactions and experiences are undergoing a significant evolution driven by the integration of the metaverse with cutting-edge image segmentation technology. The metaverse serves as a collective, persistent, and real-time virtual environment fusing digital and...

"Deep Learning for Avatar Facial Emotion Recognition in the Metaverse"

Abstract This paper proposes a deep learning-based method for real-time facial emotion recognition and classification of avatars, which is essential for immersive virtual environments, especially in the metaverse, where avatars are digital representations of users. The proposed s...

The Role of Metavese in Image Segmentation: Recent Contributions and Applications

Abstract Digital interactions and experiences are undergoing a significant evolution driven by the integration of the metaverse with cutting-edge image segmentation technology. The metaverse serves as a collective, persistent, and real-time virtual environment fusing digital and...

Acceptability of the RTS, S malaria vaccine and associated factors among caregivers of children under 25 months in Soa Health District, Cameroon: a community-based cross-sectional study

<title>Abstract</title> <bold>Background</bold> Malaria remains a major cause of morb​idity an‌d mortality in sub​-Saharan Afri‌ca. I‌n C‌ameroon, malaria accounts for 48% of all hospital admissions, 30% of morbidity and 67% of childhood mortality per year, despite ongoin‌g con‍t...