Micro, small, and medium-sized enterprises (MSMEs) are fundamental to the economy of Bangladesh, significantly contributing to job creation and poverty alleviation. Securing financing is essential for the growth and ...

Integrating the natural resource-based view theory, contingency theory and paradox theory, the current study investigates the impact of the green smart technologies adoption (GSTA) and green ambidextrous leadership (GAL) ...

Through the internet, Bangla news has grown enormously within the modern era of digital information. Every news outlet came up with its own categorizing system in order to handle such a huge quantity of content. The ...

Environmental degradation resulting from the overexploitation of natural resources has become a pressing global concern. This review paper aims to investigate the relationship between natural resources and environmental ...

False news spreads quickly due to the extensive distribution of incorrect or misleading information across digital channels, which is a global problem. This bias undermines the credibility of information, promotes the ...

The construction industry is characterized by its complex and dynamic nature, where risk assessment and safety management play pivotal roles in ensuring project success and worker well-being. Integrating Artificial ...

Since the advent of social media, there has been an increased interest in automatic age and gender classification through facial images. So, the process of age and gender classification is a crucial stage for many applications ...

Accurate digital twins are crucial in improving facility management. However, facility owners often encounter inaccurate digital twins due to incorrect as-built Building Information Modeling (BIM) models. By understanding ...

Pneumonia poses a widespread international fitness mission, in particular affecting prone populations which include youngsters and the elderly. Rapid and accurate analysis is crucial for powerful remedy and the prevention ...

Water quality assessment is crucial for public health, prompting the gathering and preprocessing of a comprehensive dataset encompassing diverse quality parameters. This study focuses on enhancing the prediction of water ...