AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Waste Disposal, Fluid

Showing 101 to 110 of 117 articles

Clear Filters

Prediction and quantifying parameter importance in simultaneous anaerobic sulfide and nitrate removal process using artificial neural network.

Environmental science and pollution research international
The present investigation deals with the prediction of the performance of simultaneous anaerobic sulfide and nitrate removal in an upflow anaerobic sludge bed (UASB) reactor through an artificial neural network (ANN). Influent sulfide concentration, ...

Energy saving for air supply in a real WWTP: application of a fuzzy logic controller.

Water science and technology : a journal of the International Association on Water Pollution Research
An unconventional cascade control system, for the regulation of air supply in activated sludge wastewater treatment plants (WWTPs), was tested. The dissolved oxygen (DO) set point in the aeration tank was dynamically calculated based on effluent ammo...

Prediction of effluent quality in ICEAS-sequential batch reactor using feedforward artificial neural network.

Water science and technology : a journal of the International Association on Water Pollution Research
It is highly essential that municipal wastewater is treated before its discharge and reuse in order to meet the standard requirements for safe marine life and for farming and industries. It is beneficial to use reclaimed water, since availability of ...

Decision tree (DT), generalized regression neural network (GR) and multivariate adaptive regression splines (MARS) models for sediment transport in sewer pipes.

Water science and technology : a journal of the International Association on Water Pollution Research
Sediment deposition in sewers and urban drainage systems has great effect on the hydraulic capacity of the channel. In this respect, the self-cleansing concept has been widely used for sewers and urban drainage systems design. This study investigates...

Wastewater treatment plant performance analysis using artificial intelligence - an ensemble approach.

Water science and technology : a journal of the International Association on Water Pollution Research
In the present study, three different artificial intelligence based non-linear models, i.e. feed forward neural network (FFNN), adaptive neuro fuzzy inference system (ANFIS), support vector machine (SVM) approaches and a classical multi-linear regres...

Combining classifiers to detect faults in wastewater networks.

Water science and technology : a journal of the International Association on Water Pollution Research
This work presents a methodology for automatic detection of structural faults in sewers from CCTV footage, which has been improved by combining the outputs of different machine learning techniques. The predictions of support vector machine and random...

Application of Fuzzy Set/Qualitative Comparative Analysis to Public Participation Projects in Support of the EU Water Framework Directive.

Water environment research : a research publication of the Water Environment Federation
  This study analyzes the level of satisfaction of stakeholders in the public participation process (PPP) of water resources management, which is mandatory according to the EU Water Framework Directive (WFD). The methodology uses a fuzzy set/qualitat...

Synthesis of MnFeO and MnO magnetic nano-composites with enhanced properties for adsorption of Cr(VI): artificial neural network modeling.

Water science and technology : a journal of the International Association on Water Pollution Research
This study reports adsorptive removal of Cr(VI) by magnetic manganese ferrite and manganese oxide nano-particles (MnF-MO-NPs) composite from aqueous media. The X-ray diffraction pattern of MnF-MO-NPs revealed a polycrystalline nature with nanoscale c...

Research on a soft measurement model of sewage treatment based on a case-based reasoning approach.

Water science and technology : a journal of the International Association on Water Pollution Research
In this paper, the measurement of biochemical oxygen demand (BOD) in a wastewater treatment process is analyzed and an intelligent integrated prediction method based on case-based reasoning (CBR) is proposed in order to overcome difficulties. Due to ...

[Enhanced Treatment of Printing and Dyeing Wastewater Using HO-Biochemical Method].

Huan jing ke xue= Huanjing kexue
The traditional biochemical treatment of printing and dyeing wastewater has limited efficiency. This study investigated whether HO could strengthen the biological ability of the hydrolytic acidification/biological contact oxidation process (A/O), whi...