Water pollution caused by poor management of waste water release or dump need to be monitored. This paper present to monitor on ammonia release by industry which can caused death to plant worker. This monitoring was a combination between E-Nose and Classification techniques which is ANN. ANN the most common retrieval method that used in industry nowadays. Furthermore, ANN classification successful to classify 100% accuracy for specific concentration of Ammonia which is using Lavernberg-Marquardt (LM) algorithm with supervised learning and fast convergence Back Propagation (BP) method
Accurate forecasting of disinfection residuals in a water distribution system (WDS) is essential for...
Several potential environmental impacts associated with wastewater effluents such as pollution effec...
Artificial neural network (ANN) was used in this research as a statistical modeling tool for predict...
Ammoniacal nitrogen (NH3-N) in domestic wastewater treatment plants (WWTP’s) has recently been added...
Toxic gasses are exists in environment such as benzene, ammonia and others. Ammonia highly dissolves...
This paper presents the application of k-NN in classifying the low and high concentration of ammonia...
Background: The study examined the implementation of artificial neural network (ANN) for the predict...
Improperly managed wastewater effluent poses environmental and public health risks. BOD evaluation i...
This paper presents artificial neural network (ANN) model of wastewater treatment plant, which was u...
In the recent past, artificial neural networks (ANNs) have shown the ability to learn and capture no...
The water industry is facing increased pressure to produce higher quality treated water at a lower c...
Ammonia nitrogen is one of the most hazardous water pollution parameters. It is crucial to monitor t...
Toxic gases are very common in industry which can be harmful to living species. This research purpos...
A statistical modeling tool called artificial neural network (ANN) is used in this work to predict t...
In this study, design; execution and assessment of ANN approach towards the declaration of the pollu...
Accurate forecasting of disinfection residuals in a water distribution system (WDS) is essential for...
Several potential environmental impacts associated with wastewater effluents such as pollution effec...
Artificial neural network (ANN) was used in this research as a statistical modeling tool for predict...
Ammoniacal nitrogen (NH3-N) in domestic wastewater treatment plants (WWTP’s) has recently been added...
Toxic gasses are exists in environment such as benzene, ammonia and others. Ammonia highly dissolves...
This paper presents the application of k-NN in classifying the low and high concentration of ammonia...
Background: The study examined the implementation of artificial neural network (ANN) for the predict...
Improperly managed wastewater effluent poses environmental and public health risks. BOD evaluation i...
This paper presents artificial neural network (ANN) model of wastewater treatment plant, which was u...
In the recent past, artificial neural networks (ANNs) have shown the ability to learn and capture no...
The water industry is facing increased pressure to produce higher quality treated water at a lower c...
Ammonia nitrogen is one of the most hazardous water pollution parameters. It is crucial to monitor t...
Toxic gases are very common in industry which can be harmful to living species. This research purpos...
A statistical modeling tool called artificial neural network (ANN) is used in this work to predict t...
In this study, design; execution and assessment of ANN approach towards the declaration of the pollu...
Accurate forecasting of disinfection residuals in a water distribution system (WDS) is essential for...
Several potential environmental impacts associated with wastewater effluents such as pollution effec...
Artificial neural network (ANN) was used in this research as a statistical modeling tool for predict...