[HTML][HTML] Reinvigorating algal cultivation for biomass production with digital twin technology-a smart sustainable infrastructure

AG Sheik, A Kumar, FA Ansari, V Raj, P Nicolas… - Algal Research, 2024 - Elsevier
Industry 5.0 raises awareness towards converting conventional industrial technologies into
smart technologies integrated with sustainable infrastructure for efficiently handling process …

Controllable synthesis of nanostructured flower-like cadmium sulfides for photocatalytic degradation of methyl orange under different light sources

A Hojjati-Najafabadi, E Farahbakhsh… - Journal of Water …, 2024 - Elsevier
This study focuses on the synthesis and characterization of cadmium sulfide nanostructures
by coprecipitation method. The materials are characterized by X-ray diffraction, scanning …

[HTML][HTML] Chlorophyll-a estimation in 149 tropical semi-arid reservoirs using remote sensing data and six machine learning methods

V Oliveira Santos, BMDM Guimarães, IEL Neto… - Remote Sensing, 2024 - mdpi.com
It is crucial to monitor algal blooms in freshwater reservoirs through an examination of
chlorophyll-a (Chla) concentrations, as they indicate the trophic condition of these …

Monitoring of low Chl-a concentration in Hulun Lake based on fusion of remote sensing satellite and ground observation data

S Zhang, L Wang, Y Wang, X Zhang, Y Zhu, G Ma - Remote Sensing, 2024 - mdpi.com
China's northern Hulun Lake is a significant body of water internationally. The issue of
eutrophication has gained prominence in recent years. The achievement of precise …

[HTML][HTML] Deep learning methods for multi-horizon long-term forecasting of Harmful Algal Blooms

S Martín-Suazo, J Morón-López, S Vakaruk… - Knowledge-Based …, 2024 - Elsevier
The increasing occurrence of Harmful Algal Blooms (HABs) in water systems poses
significant challenges to ecological health, public safety, and economic stability globally …

YOLOSAR-Lite: a lightweight framework for real-time ship detection in SAR imagery

H Wang, J Shi, H Karimian, F Liu… - International Journal of …, 2024 - Taylor & Francis
Real-time ship detection using SAR images is crucial for maritime operations but remains
challenging due to issues such as sidelobes, complex background interferences, and target …

Real‐Time Air Quality Index Detection through Regression‐Based Convolutional Neural Network Model on Captured Images

P Sarkar, DDV Saha, M Saha - Environmental Quality …, 2024 - Wiley Online Library
Our research addresses the imperative need for an efficient air quality monitoring and
forecasting system to mitigate the significant health risks of air pollution. Departing from …

[PDF][PDF] Genetic algorithm-based deep reinforcement learning model for estimating chlorophyll-a concentration from remote sensing data

X Lan, Y Ye, J An, X Fang, Y Liu… - Journal of Biotech …, 2023 - btsjournals.com
Chlorophyll concentration relies on the plankton present on the ocean surface that is
affected by climatic changes. Remote sensing applications deploy sensing devices on the …

Develo** a machine learning model using satellite data to predict the Air Quality Index (AQI) over Korba Coalfield, Chhattisgarh (India)

AK Gond, A Jamal, T Verma - Atmospheric Pollution Research, 2025 - Elsevier
This study investigates air quality dynamics in the Korba district, Asia's largest coal mining
hub in India, employing advanced machine learning approaches to analyse seasonal Air …

Impact of learning rate and epochs on lstm model performance: a study of chlorophyll-a concentrations in the Marmara Sea

K Shirini, MB Kordan, SS Gharehveran - The Journal of Supercomputing, 2025 - Springer
Abstract The Marmara Sea, a vital link between the Mediterranean and Black Seas, plays a
significant role in the global carbon cycle and is heavily impacted by human activities that …