In recent years, significant progress has been made to ensure that process industries are
among the safest workplaces in the world. However, with the increasing complexity of existing …

Machine learning (ML) and deep learning (DL) are a subset of artificial intelligence (AI) that
can automatically learn from data and can perform tasks such as predictions and decision-…

Abstract Knowledge of fire and explosion-related properties of substances including flammability
limits, minimum ignition energies, and flash points are critical in process safety research…

Despite many theoretical and experimental advances in understanding the macroscopic
properties of energetic materials, much work remains to be done to understand their microscale …

The chrysanthemum-like ZnO crystals have been prepared by the SDS assistant hydrothermal
treatment method. The products were characterized by SEM, TEM, SAED, HRTEM, EDS …

Flame retardants are currently used in a wide range of industry sectors for saving lives and
property by mitigating fire hazards. The growing fire safety requirements for materials boost …

The cone calorimeter is an efficient instrument used to evaluate the reaction-to-fire properties
of measured materials via simulating a forced combustion bench-scale fire scenario. With …

Failures of urban buried gas pipelines have caused significant fire and explosion accidents
with tremendous losses. This work presents an advanced two-step approach to analyze …

Compositional Zero-Shot Learning (CZSL) aims to train models to recognize novel compositional
concepts based on learned concepts such as attribute-object combinations. One of the …

Objectives: To investigate whether intravascular ultrasound (IVUS) guided percutaneous
coronary intervention (PCI) could improve clinical outcomes compared with angiography-…