Trends in digital image processing of isolated microalgae by incorporating classification algorithm
Identification of microalgae species is of importance due to the uprising of harmful algae
blooms affecting both the aquatic habitat and human health. Despite this occurence …
blooms affecting both the aquatic habitat and human health. Despite this occurence …
Accurate classification of algae using deep convolutional neural network with a small database
The variations in algal diversity and populations are essential for evaluating aquatic system
health. However, manual classification is time-consuming and labor-intensive. As AI has …
health. However, manual classification is time-consuming and labor-intensive. As AI has …
Survey of automatic plankton image recognition: challenges, existing solutions and future perspectives
T Eerola, D Batrakhanov, NV Barazandeh… - Artificial Intelligence …, 2024 - Springer
Planktonic organisms including phyto-, zoo-, and mixoplankton are key components of
aquatic ecosystems and respond quickly to changes in the environment, therefore their …
aquatic ecosystems and respond quickly to changes in the environment, therefore their …
Deep learning in water protection of resources, environment, and ecology: achievement and challenges
X Fu, J Jiang, X Wu, L Huang, R Han, K Li, C Liu… - … Science and Pollution …, 2024 - Springer
The breathtaking economic development put a heavy toll on ecology, especially on water
pollution. Efficient water resource management has a long-term influence on the sustainable …
pollution. Efficient water resource management has a long-term influence on the sustainable …
Phytoplankton detection and recognition in freshwater digital microscopy images using deep learning object detectors
Water quality can be negatively affected by the presence of some toxic phytoplankton
species, whose toxins are difficult to remove by conventional purification systems. This …
species, whose toxins are difficult to remove by conventional purification systems. This …
Computer-aided cyanobacterial harmful algae blooms (CyanoHABs) studies based on fused artificial intelligence (AI) models
Cyanobacteria are a major cause of algal bloom, a rapid rise or overgrowth in the population
of BGAs and algae in fresh or marine water systems. Gram-negative, oxygenic …
of BGAs and algae in fresh or marine water systems. Gram-negative, oxygenic …
AI facilitated fluoro-electrochemical phytoplankton classification
Marine phytoplankton is extremely diverse. Counting and characterising phytoplankton is
essential for understanding climate change and ocean health not least since phytoplankton …
essential for understanding climate change and ocean health not least since phytoplankton …
[HTML][HTML] Online monitoring of Haematococcus lacustris cell cycle using machine and deep learning techniques
L Stegemüller, F Caccavale, B Valverde-Pérez… - Bioresource …, 2024 - Elsevier
Optimal control and process optimization of astaxanthin production from Haematococcus
lacustris is directly linked to its complex cell cycle ranging from vegetative green cells to …
lacustris is directly linked to its complex cell cycle ranging from vegetative green cells to …
Nothing Comes Without Its World–Practical Challenges of Aligning LLMs to Situated Human Values through RLHF
Work on value alignment aims to ensure that human values are respected by AI systems.
However, existing approaches tend to rely on universal framings of human values that …
However, existing approaches tend to rely on universal framings of human values that …
A systematic review of deep learning microalgae classification and detection
Algae represent the majority of the diversity on Earth and are a large group of organisms that
have photosynthetic properties that are important to life. The species of algae are estimated …
have photosynthetic properties that are important to life. The species of algae are estimated …