Valves are usually used in conjunction with large water-tower storage structures. Large pipes carry water from the storage tower to the flush gutter. Valves are used at appropriate locations in the pipeline to control flush water flow to individual gutters. Figure 1 is a schematic layout of a flush system using storage towers, pipelines and valves to flush several gutters. Use of multiple, inte...

The paper is oriented to introduce different dimension reduction methods in the text document retrieval area. First, the mostly used text document retrieval models are described, and then in second part the analytical approach and neural network approaches to dimension reduction of keyword space are described. Dimension reduction methods reduce keyword space into much smaller size together with...

nowadays, due to increasing the complexity of ic engines, calibration task becomes more severe and the need to use surrogate models for investigating of the engine behavior arises. accordingly, many black box modeling approaches have been used in this context among which network based models are of the most powerful approaches thanks to their flexible structures. in this paper four network base...

The redundant medical diagnostic factors elimination problem was faced by the use of Artificial Neural Networks that were evolved using Genetic Algorithms. For specific medical diagnosis problems such as breast cancer classification, with given set of diagnostic input parameters, Genetic Algorithms were used for pruning Neural Network structure and the investigation of the most appropriate subs...

Water transport networks (WTN) are generally used to convey water from production plants or sources to storage tanks close to the consumptions areas. Tanks are usually built with enough elevation to guarantee the service pressure required for their associated consumption area. WTNs contain large water mains and control elements, such as pumping stations and valves, linking the sources to consum...

Convolutional Neural Networks (CNNs) have become the method of choice for learning problems involving 2D planar images. However, a number of problems of recent interest have created a demand for models that can analyze spherical images. Examples include omnidirectional vision for drones, robots, and autonomous cars, molecular regression problems, and global weather and climate modelling. A naiv...

Digital images require large amounts of memory for storage. Thus, the transmission of an image from one computer to another can be very time consuming. By using data compression techniques, it is possible to remove some of the redundant information contained in images, requiring less storage space and less time to transmit. Artificial Neural networks can be used for the purpose of image compres...