The COVID-19 pandemic has devastated nearly every sector of the global economy. The research seeks to examine the COVID-19 pandemic's effects on economy and its interdependencies, specifically on mining and minerals, energy, and agriculture sectors. We propose a mathematical model by combining...

The mining industry continues to play a significant role in developing the economy in developing countries. The need for minerals influences the magnitude of the mining industry, and safety concerns have taken on considerable importance in this sector. Equipment failure and breakdown will...

This study uses social media analytics to analyze Twitter users' views, opinions, and sentiments towards the Winter Olympics 2022. Impression Management Theory (IMT) and Social Presence Theory (SPT) have been utilized to analyze the imposition of the decision to practice self-censorship to...

This study proposes a logical Petri net model to leverage the modeling advantages of Petri nets in handling batch processing and uncertainty in value passing and to integrate relevant game elements from multi-agent game processes for modeling multi-agent decision problems and resolving...

Product perishability is an important problem in Pharmaceutical Supply Chains (PSC). Demand perishability and unpredictability add enormous complexity to successfully implementing efficient Pharmaceutical Supply Chain Network Design (PSCND). This study develops a mathematical model for the...

Duality for linear vector optimum problems is often just a mathematical construct (l'art pour l'art). We define a family of dual problems to support decision-makers in a concrete economic situation. Entrepreneurs generally want to participate in initiatives for producing new products with...

Resilience, sustainability, and cyber-security are three measures in supply chains that define how robustly supply chains perform without disruption. Although these three measures can each be assessed separately and give us some idea of a supply chain's capability, a combined measure of all...

Multimodal image fusion combines information from multiple modalities to generate a composite image containing complementary information. Multimodal image fusion is challenging due to the heterogeneous nature of data, misalignment and nonlinear relationships between input data, or incomplete...

Coronary Heart Disease (CHD) is a life-threatening public health problem. Many chronic CHDs and health risks can be avoided, reversed, and reduced with proper risk assessment. Medical professionals find it challenging to anticipate heart attacks and heart failures since it is a complex process...