Tun Hussein Onn University of Malaysia

PropTech Adoption in Real Estate Management: The Role of AI, Big Data and Digital Platforms in Improving Property Management Performance

Abstract Property management has evolved significantly from traditional manual approaches to technology-driven operations, with Property Technology (PropTech) emerging as a transformative force in the real estate sector. The integration of Artificial Intelligence, Big Data analyt...

Extraction and optimization of chitosan yield and deacetylation quality from mushroom mycelium waste

The growing mushroom industry generates substantial quantities of residual mycelial biomass, much of which is discarded despite its potential as a source of value-added biopolymers. This study investigated the extraction of fungal chitosan from Pleurotus ostreatus mycelium waste...

PropTech Adoption in Real Estate Management: The Role of AI, Big Data and Digital Platforms in Improving Property Management Performance

Abstract Property management has evolved significantly from traditional manual approaches to technology-driven operations, with Property Technology (PropTech) emerging as a transformative force in the real estate sector. The integration of Artificial Intelligence, Big Data analyt...

Artificial Intelligence (AI) in Real Estate Valuation: Developing an Explainable AI-Based Automated Valuation Model (AVM)

Abstract Property valuation remains fundamental to real estate markets, influencing investment decisions, mortgage lending, taxation, and financial reporting. Traditional valuation approaches relying on professional judgment have been increasingly criticized for subjectivity, inc...

Artificial Intelligence (AI) in Real Estate Valuation: Developing an Explainable AI-Based Automated Valuation Model (AVM)

Abstract Property valuation remains fundamental to real estate markets, influencing investment decisions, mortgage lending, taxation, and financial reporting. Traditional valuation approaches relying on professional judgment have been increasingly criticized for subjectivity, inc...

Optimized Boosting machine learning approaches for tensile strength prediction and failure classification of mono, bi and tri fiber reinforced composites

Fiber reinforced composites (FRCs) are important to aerospace, automotive and marine industries because of their good strength-to-weight ratio and flexibility in design. However, their highly reliable design is defined by a complex interaction of numerous processing parameters wh...