Titlebook: Artificial Intelligence and Edge Computing for Sustainable Ocean Health; Debashis De,Diganta Sengupta,Tien Anh Tran Book 2024 The Editor(s

占線

Leveraging the Power of AI for Sustainable Oceanstic pollution is a major environmental threat that has severely affected oceans. Natural habitats of marine animals were demolished. Millions of species succumbed to death after consuming plastic or getting tangled on it. Plastic waste materials are the possible carriers of pathogens that increase w

Indelible

Blue Ocean and Machine Learning Trajectories SDG 14: Life Below Water for Handling Ocean Pollution: at preserving the ecological balance, biodiversity, and overall well-being of marine ecosystems. Blue Ocean Health is a critical component of Sustainable Development Goal 14 (SDG 14)—Life below Water. Sustainable Development Goal 14 (SDG 14) calls for concerted global efforts to safeguard the world’

Instantaneous

Marine Resources: Identification, Restoring, and Monitoring of Fisheries Food Resources Using Deep Lne such priceless resource is fish. Many varieties of fish are available in the sea. Seafood (fish and crab) is a healthy food for enhancing people’s health. But, nowadays so much offshore drilling for natural oil and gas production creates a huge destructive impact on marine resources, not only off

jumble

Utilisation of Underwater Wireless Sensor Network Through Supervising a Random Network Environment i planet. However, because of the intricate and often elusive nature of activities at sea level, our understanding of these vast and enigmatic maritime regions is severely constrained. Underwater wireless sensors have emerged as critical instruments for bridging this information gap, capable of conti

殘暴

colony

Sustainable Development Goal 14: Explainable AI (XAI) for Ocean Health automation, transforming marine diagnosis, treatment, and the overall ocean ecosystem, thus contributing to Sustainable Development Goal 14 of ensuring sustainable and conserved use of seas, ocean, and other marine resources. However, the widespread adoption of AI algorithms in several domains, lik

Pessary

Explainable AI (XAI) for Ocean Health: Exploring the Role of Explainable AI in Enhancing Ocean Healtof Explainable Artificial Intelligence (XAI). Gaining insight into the internal workings of the XAI model enables researchers to verify its predictions and pinpoint possible areas for enhancement. Additionally, by facilitating more efficient dissemination of research results to a wider range of stak

開(kāi)始沒(méi)有

A Comprehensive Study of AI (XAI) for Ocean Health Monitoringence (AI) plays a transformative approach in monitoring the diseases and the health status of ocean organisms. Monitoring marine species is crucial due to the threats impacting on global climate changes and human activities like overfishing, ocean acidification, and hypoxic zones. In where, they can

說(shuō)明

Explainable Artificial Intelligence for Ocean Health: Applications and Challengesd maintaining ocean health is becoming more vital. This chapter explores the notion of “Explainable Artificial Intelligence for Ocean Health” and its importance in tackling complicated ocean-related concerns. Explainable AI (XAI) refers to AI systems that are meant to give clear, capable of interpre

簡(jiǎn)潔