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Water

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WaSR-A Water Segmentation and Refinement Maritime Obstacle Detection Network.

IEEE transactions on cybernetics
Obstacle detection using semantic segmentation has become an established approach in autonomous vehicles. However, existing segmentation methods, primarily developed for ground vehicles, are inadequate in an aquatic environment as they produce many f...

Universal machine-learning algorithm for predicting adsorption performance of organic molecules based on limited data set: Importance of feature description.

The Science of the total environment
Adsorption of organic molecules from aqueous solution offers a simple and effective method for their removal. Recently, there have been several attempts to apply machine learning (ML) for this problem. To this end, polyparameter linear free energy re...

Source discrimination of mine water based on the random forest method.

Scientific reports
Machine learning is one of the widely used techniques to pattern recognition. Use of the machine learning tools is becoming a more accessible approach for predictive model development in preventing engineering disaster. The objective of the research ...

One-Class Convolutional Neural Networks for Water-Level Anomaly Detection.

Sensors (Basel, Switzerland)
Companies that own water systems to provide water storage and distribution services always strive to enhance and efficiently distribute water to different places for various purposes. However, these water systems are likely to face problems ranging f...

Application of classical and novel integrated machine learning models to predict sediment discharge during free-flow flushing.

Scientific reports
In this study, the capabilities of classical and novel integrated machine learning models were investigated to predict sediment discharge (Q) in free-flow flushing. Developed models include Multivariate Linear Regression (MLR), Artificial Neural Netw...

Manta Ray Inspired Soft Robot Fish with Tough Hydrogels as Structural Elements.

ACS applied materials & interfaces
The design of soft robots capable of navigation underwater has received tremendous research interest due to the robots' versatile applications in marine explorations. Inspired by marine animals such as jellyfish, scientists have developed various sof...

Deep Learning-Based Multicapturer SERS Platform on Plasmonic Nanocube Metasurfaces for Multiplex Detection of Organophosphorus Pesticides in Environmental Water.

Analytical chemistry
In situ rapid detection of contaminants in environmental water is crucial for protecting the ecological environment and human health; however, it is always hindered by the complexity of sample matrices, trace content, and unknown species. Herein, we ...

Imaging and Deep Learning Based Approach to Leaf Wetness Detection in Strawberry.

Sensors (Basel, Switzerland)
The Strawberry Advisory System (SAS) is a tool developed to help Florida strawberry growers determine the risk of common fungal diseases and the need for fungicide applications. Leaf wetness duration (LWD) is one of the important parameters in SAS di...

Development of an Artificial Neural Network Algorithm Embedded in an On-Site Sensor for Water Level Forecasting.

Sensors (Basel, Switzerland)
Extreme weather events cause stream overflow and lead to urban inundation. In this study, a decentralized flood monitoring system is proposed to provide water level predictions in streams three hours ahead. The customized sensor in the system measure...

Unraveling the complexities of urban fluvial flood hydraulics through AI.

Scientific reports
As urbanization increases across the globe, urban flooding is an ever-pressing concern. Urban fluvial systems are highly complex, depending on a myriad of interacting variables. Numerous hydraulic models are available for analyzing urban flooding; ho...