Computational Biology and Chemistry, Journal Year: 2022, Volume and Issue: 98, P. 107681 - 107681
Published: April 9, 2022
Language: Английский
Deleted Journal, Journal Year: 2024, Volume and Issue: 3(1), P. 57 - 68
Published: March 31, 2024
As the demand for high-quality video streaming continues to surge, adaptability of systems dynamic and unpredictable network conditions becomes paramount. This review paper delves into realm adaptive streaming, focusing on integration AI-driven predictive analytics anticipate optimize conditions. The provides an extensive overview existing algorithms, highlighting challenges posed by fluctuating It explores role in mitigating these challenges, emphasizing use machine learning models AI technologies. Through case studies discussions real-world implementations, showcases how enhances decision-making process systems, leading improved bitrate adaptation content delivery. Challenges limitations associated with are scrutinized, paving way a comprehensive understanding its implications. is examined, potential revolutionize quality service. Finally, outlines future trends research directions, offering insights evolving landscape streaming. consolidates knowledge valuable resource researchers, practitioners, industry professionals involved intersection analytics, artificial intelligence.
Language: Английский
Citations
1
Published: May 24, 2024
Language: Английский
Citations
1
Advances in medical diagnosis, treatment, and care (AMDTC) book series, Journal Year: 2024, Volume and Issue: unknown, P. 91 - 112
Published: June 30, 2024
This chapter explores the potential of green AI and big data informatics for personalized disease prediction in clinical decision making. Green prioritizes efficiency, minimizing computational resources needed to analyze vast healthcare datasets. Big provides platform manage these datasets knowledge discovery. delves into how algorithms optimize resource utilization while platforms leverage diverse patient more accurate, individual risk assessments. The applications decision-making encompass early detection, stratification, treatment plans. However, ethical considerations regarding privacy, bias, job displacement require careful attention. Finally, future directions highlight advancements explainable models, integration with other health technologies, paving way a proactive empowerment.
Language: Английский
Citations
1
Geo-spatial Information Science, Journal Year: 2023, Volume and Issue: unknown, P. 1 - 25
Published: July 4, 2023
The outbreak and subsequent recurring waves of COVID −19 pose threats on the emergency management people's daily life, while large-scale spatio-temporal epidemiological data have sure come in handy epidemic surveillance. Nonetheless, some challenges remain to be addressed terms multi-source heterogeneous fusion, deep mining, comprehensive applications. Spatio-Temporal Artificial Intelligence (STAI) technology, which focuses integrating spatial related time-series data, artificial intelligence models, digital tools provide intelligent computing platforms applications, opens up new opportunities for scientific control. To this end, we leverage STAI long-term experience location-based services work. Specifically, devise develop a STAI-driven infrastructure, namely, WAYZ Disease Control Intelligent Platform (WDCIP), consists systematic framework building pipelines from automatic collection, processing AI-based analysis inference implementation providing appropriate applications serving various scenarios. According platform logic, our work can performed summarized three aspects: (1) integrated system; (2) hybrid GNN-based approach hierarchical risk assessment (as core algorithm WDCIP); (3) social containment. This makes pivotal contribution facilitating aggregation full utilization multiple sources, where real-time human mobility generated by high-precision mobile positioning plays vital role sensing spread epidemic. So far, WDCIP has accumulated more than 200 million users who been served life convenience decision-making during pandemic.
Language: Английский
Citations
3
Computational Biology and Chemistry, Journal Year: 2022, Volume and Issue: 98, P. 107681 - 107681
Published: April 9, 2022
Language: Английский
Citations
4