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Bays

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Bioactivity and chemical screening of endophytic fungi associated with seaweeds Gracilaria sp. and Sargassum sp. of the Bay of Bengal, Bangladesh.

Scientific reports
This study explored the great potential of endophytic fungi associated with red seaweed Gracilaria sp. and brown seaweed Sargassum sp. of the Bay of Bengal, Bangladesh, for the first time. Endophytic fungi were identified taxonomically by morphologic...

Early warning of algal blooms based on the optimization support vector machine regression in a typical tributary bay of the Three Gorges Reservoir, China.

Environmental geochemistry and health
Algal blooms caused by climate change and human activities have received considerable attention in recent years. Since chlorophyll a (Chl-a) can be used as an indicator of phytoplankton biomass, it has been selected as a direct indicator for monitori...

A deep learning approach to median nerve evaluation in ultrasound images of carpal tunnel inlet.

Medical & biological engineering & computing
Ultrasound (US) imaging is recognized as a useful support for Carpal Tunnel Syndrome (CTS) assessment through the evaluation of median nerve morphology. However, US is still far to be systematically adopted to evaluate this common entrapment neuropat...

A Deep-Learning Based Pipeline for Estimating the Abundance and Size of Aquatic Organisms in an Unconstrained Underwater Environment from Continuously Captured Stereo Video.

Sensors (Basel, Switzerland)
The utilization of stationary underwater cameras is a modern and well-adapted approach to provide a continuous and cost-effective long-term solution to monitor underwater habitats of particular interest. A common goal of such monitoring systems is to...

Water quality assessment of deep learning-improved comprehensive pollution index: a case study of Dagu River, Jiaozhou Bay, China.

Environmental science and pollution research international
In the past few decades, with the country's rapid development, water pollution has become a significant problem many countries face. Most of the existing water quality evaluation uses a single time-invariant model to simulate the evolution process, w...

Comprehensive study of algal blooms variation in Jiaozhou Bay based on google earth engine and deep learning.

Scientific reports
The Jiaozhou Bay ecosystem, a crucial marine ecosystem in China, has been plagued by frequent harmful algal blooms as due to deteriorating water quality and eutrophication. This study analyzed the temporal and spatial changes of harmful algal blooms ...

High-resolution density assessment assisted by deep learning of (Lamarck, 1816) and (Linnaeus, 1767) in rocky circalittoral shelf of Bay of Biscay.

PeerJ
This study presents a novel approach to high-resolution density distribution mapping of two key species of the 1170 "Reefs" habitat, and , in the Bay of Biscay using deep learning models. The main objective of this study was to establish a pipeline ...

Using unsupervised learning to classify inlet water for more stable design of water reuse in industrial parks.

Water science and technology : a journal of the International Association on Water Pollution Research
The water reuse facilities of industrial parks face the challenge of managing a growing variety of wastewater sources as their inlet water. Typically, this clustering outcome is designed by engineers with extensive expertise. This paper presents an i...

Application of deep learning in predicting suspended sediment concentration: A case study in Jiaozhou Bay, China.

Marine pollution bulletin
Previous research methodologies for quantifying Suspended Sediment Concentration (SSC) have encompassed in-situ observations, numerical simulations, and analyses of remote sensing datasets, each with inherent constraints. In this study, we have harne...

A culture-independent approach, supervised machine learning, and the characterization of the microbial community composition of coastal areas across the Bay of Bengal and the Arabian Sea.

BMC microbiology
BACKGROUND: Coastal areas are subject to various anthropogenic and natural influences. In this study, we investigated and compared the characteristics of two coastal regions, Andhra Pradesh (AP) and Goa (GA), focusing on pollution, anthropogenic acti...