AI Medical Compendium Journal:
Frontiers in artificial intelligence

Showing 11 to 20 of 147 articles

Advanced sleep disorder detection using multi-layered ensemble learning and advanced data balancing techniques.

Frontiers in artificial intelligence
Sleep disorder detection has greatly improved with the integration of machine learning, offering enhanced accuracy and effectiveness. However, the labor-intensive nature of diagnosis still presents challenges. To address these, we propose a novel coo...

Enhancing Africa's agriculture and food systems through responsible and gender inclusive AI innovation: insights from AI4AFS network.

Frontiers in artificial intelligence
The integration of artificial intelligence (AI) technologies into agriculture holds urgent and transformative potential for enhancing food security across Sub-Saharan Africa (SSA), a region acutely impacted by climate change and resource constraints....

Cyberinfrastructure for machine learning applications in agriculture: experiences, analysis, and vision.

Frontiers in artificial intelligence
INTRODUCTION: Advancements in machine learning (ML) algorithms that make predictions from data without being explicitly programmed and the increased computational speeds of graphics processing units (GPUs) over the last decade have led to remarkable ...

Exploring the potential of AI-driven food waste management strategies used in the hospitality industry for application in household settings.

Frontiers in artificial intelligence
This study explores the potential for adapting AI-driven food waste management strategies from the hospitality industry for application in household settings. The hospitality industry, particularly hotels and restaurants, has implemented AI technolog...

Self-trainable and adaptive sensor intelligence for selective data generation.

Frontiers in artificial intelligence
With the increasing integration of machine learning into IoT devices, managing energy consumption and data transmission has become a critical challenge. Many IoT applications depend on complex computations performed on server-side infrastructure, nec...

A conceptual ethical framework to preserve natural human presence in the use of AI systems in education.

Frontiers in artificial intelligence
In recent years, there has been a remarkable increase of interest in the ethical use of AI systems in education. On one hand, the potential for such systems is undeniable. Used responsibly, they can meaningfully support and enhance the interactive pr...

Examining the integration of artificial intelligence in supply chain management from Industry 4.0 to 6.0: a systematic literature review.

Frontiers in artificial intelligence
BACKGROUND: This study examines the integration of Artificial Intelligence (AI) in supply chain management (SCM) during the transition from Industry 4.0 to Industry 6.0. The focus is on improving operational efficiency, promoting human-centric collab...

The technology acceptance model and adopter type analysis in the context of artificial intelligence.

Frontiers in artificial intelligence
INTRODUCTION: Artificial Intelligence (AI) is a transformative technology impacting various sectors of society and the economy. Understanding the factors influencing AI adoption is critical for both research and practice. This study focuses on two ke...

An analysis of artificial intelligence automation in digital music streaming platforms for improving consumer subscription responses: a review.

Frontiers in artificial intelligence
The rapid adoption and evolving nature of artificial intelligence (AI) is playing a significant role in shaping the music streaming industry. AI has become a key player in transforming the digital music streaming industry, particularly in enhancing u...