Optimized Theory-Guided Convolutional Neural Network for Water Quality Prediction in Smart Aquaculture

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Publication Details

Journal
International Journal of Environment and Waste Management
Published
2025-01-01
DOI
https://doi.org/10.1504/ijewm.2025.10074280
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimized Theory-Guided Convolutional Neural Network for Water Quality Prediction in Smart Aquaculture

H. R., G. Kannan
International Journal of Environment and Waste Management
Water Quality Monitoring Technologies
article

Optimized Theory-Guided Convolutional Neural Network for Water Quality Prediction in Smart Aquaculture

H. R., G. Kannan
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Environment and Waste ManagementVol. 1(1)
Openalex Percentile: Top 72%
Water Quality Monitoring Technologies
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