Universiti Teknologi Petronas

A Novel Stable-Inverse Fractional-Order Predictive PID Control with Machine Learning-Based Performance Prediction for Non-Minimum Phase Systems

Non-minimum-phase behavior introduces an additional limitation in predictive process control because directly inverting a right-half-plane zero can result in an unstable controller. This study develops a Stable-Inverse Fractional-Order Predictive PID (SIFOPPID) controller for the...

Ultimate compressive strength inversion in initially imperfect plates under different boundary conditions: A conservative assessment method

This study presents a predictive framework for the ultimate compressive strength (UCS) of initially deflected plates subjected to longitudinal axial compression under simply supported (SS) and clamped (CL) boundary conditions. A comprehensive database comprising 2800 non-linear f...

RCMS: a robust cybersecurity metamodel for cloud computing in Saudi Arabia

Abstract Cloud computing underpins Saudi Arabia’s Vision 2030, making cybersecurity an escalating national concern. Existing security frameworks incorporate relevant measures but lack cloud-specific constructs in identified areas and are not localized to Saudi regulatory requirem...

Comparative analysis of AI models for cost prediction and feature importance in construction

Purpose The construction industry has always been plagued by a high number of uncertainties; due to this, cost overruns are the most frequent challenge. To address this problem, this study aims to determine how the presence of risk increases the likelihood of cost overruns and to...

Two-dimensional transition metal dichalcogenides for biosensing: synthesis strategies, material properties, and biomarker detection applications

Two-dimensional (2D) materials have attracted interest because of their unique physical, electronic, and optical characteristics. When thinned to a monolayer, several TMDs undergo an indirect-to-direct bandgap transition and exhibit exceptional optoelectronic characteristics. In...

A compact 2D photonic crystal biosensor for optical detection of glioblastoma brain tissues enhanced by neural networks

Abstract In this work, a compact optical sensor based on a two-dimensional photonic crystal is proposed for detecting glioblastoma and pre-tumor brain tissues. The sensor uses a hexagonal lattice of silicon rods in air with a ring resonator structure at its center. The designed d...

Productivity, institutional environments, and international contract success: asymmetric moderation evidence from Japanese construction firms

International projects are central to construction firms’ growth, yet whether firm productivity predicts international contract success and why productivity advantages translate differently across institutional settings remain underexplored. This study examines how firm productiv...

Fiber optic sensing for structural health monitoring in harsh environments advancing degradation physics signal robustness and long term reliability prediction

Fiber optic sensing (FOS) technologies have emerged as transformative platforms for structural health monitoring (SHM) of critical infrastructure operating in harsh environments. Unlike conventional electrical sensors, fiber optic sensors offer intrinsic immunity to electromagnet...

Seamless grid following and grid forming inverter mode transition enabled by machine-learning based SCR estimation and smooth switching control

The increasing penetration of inverter-based resources has led to converter-dominated power systems in which grid strength varies significantly and strongly influences inverter control performance. Grid-following (GFL) and grid-forming (GFM) control strategies offer complementary...

Physics-Guided Windowed Symmetry Metrics for Improved Green’s Function Retrieval in Passive Distributed Acoustic Sensing Ambient Noise Interferometry

Distributed Acoustic Sensing (DAS) has revolutionized ambient noise interferometry, yet the reliability of retrieved empirical Green’s functions (EGFs) remains highly sensitive to non-diffuse noise fields and anthropogenic transients. In complex or noisy environments, global metr...

Development and characterization of p-phenylenediamine/g-C 3 N 4 -based composite polysulfone (PSF) membranes for enhanced chromium (Cr(VI)) removal from wastewater

In this study, polysulfone (PSF)-based composite membranes were synthesised through phase inversion. These membranes were then dip-coated with non-functionalized and functionalized Graphitic Carbon Nitride (g-C 3 N 4 ) to enhance Chromium (Cr(VI)) removal from a Cr(VI)-containing...

An eco-inspired emulsion membrane harnessed with waste vegetable oil for effective separation of ibuprofen: Insights into stability, performance, and kinetics

Emulsion liquid membranes (ELMs) have emerged as excellent alternatives for the separation and recovery of biologically active drugs (BADs) from industrial waste at trace concentrations. Conventional ELMs generally utilize toxic petroleum-based solvents (PBS) that pose environmen...

Application of Swietenia macrophylla Polymer/Nanocomposites for Mitigating Paraffin Wax Deposition

Paraffin wax precipitation and deposition significantly hinder crude oil production and transportation by reducing flow efficiency, increasing operational downtime, and requiring costly remediation procedures. Conventional wax mitigation methods commonly rely on environmentally u...

Study on the effect of ZrO2 loading on the formation of CuO-ZnO-ZrO2-Al2O3/ZrO2-modified HZSM-5 bifunctional catalysts as potential catalysts for CO2 valorization

Carbon utilization technologies have gained increasing attention as an effective strategy for mitigating atmospheric CO₂ emissions through conversion into value-added products such as methanol and dimethyl ether (DME). In recent studies, bifunctional catalysts integrating metalli...