Technology has increased the interest and demand for pervasive systems which require
contextual information to function at optimal capacity. There have been numbers of research …

As crowdsourcing platforms continue to grow in both scale and complexity, ensuring the
quality and integrity of contributions becomes increasingly challenging. A major issue is the …

Crowdsourcing platforms are increasingly used for large-scale data collection and problem-
solving across diverse domains. However, the effectiveness of these platforms is often …

Crowdsourcing platforms have become integral to solving large-scale problems by
leveraging diverse worker contributions. However, ensuring data quality and task efficiency …

Optimizing resource efficiency in food systems is crucial for addressing global challenges
related to food security, sustainability, and supply chain resilience. The Alphanetv4 model …

Crowdsourcing has emerged as a vital tool for solving large-scale problems by harnessing
human intelligence. However, challenges such as unreliable data quality and suboptimal …

By integrating domain-aware crowdsourcing with an advanced alpha mining model,
Alphanetv4 provides a comprehensive solution for improving efficiency, sustainability, and …

By integrating crowdsourced intelligence from diverse stakeholders such as farmers,
consumers, distributors, and local authorities, Alphanetv4 enables real-time data collection …