The optimum design of solar energy systems strongly depends on the accuracy of  solar radiation data. However, the availability of accurate solar radiation data is undermined by the high cost of measuring equipment or non-functional ones. This study developed a feed-forward backpropagation artificial neural network model for prediction of global solar radiation in Makurdi, Nigeria (7.7322  N lo...

Academia and practitioners confirm that software project effort prediction is crucial for an accurate software project management. However, software development effort estimation is uncertain by nature. Literature has developed methods to improve estimation correctness, using artificial intelligence techniques in many cases. Following this path, this paper presents SEffEst, a framework based on...

This paper addressed a framework of a traffic prediction model which could eliminate the noises caused by random travel conditions. In the meantime, this model can also quantitatively calculate the influence of special factors. This framework combined several artificial intelligence technologies such as wavelet transform, neural network, and fuzzy logic. In addition to developing the prediction...

Currently there is one of the prevalent diseases of 21st century is liver disorders annually killing so many people’s round the worlds. A range of therapies have been provided by researcher to evaluate results. Early diagnosis is of considerable amount of significance in treating the disease. Diagnosis is of the physician skills conducting based on their knowledge’s and experience yet an error ...

Data compression has been extensively applied to the motion-picture industry and consumer electronics especially in high-definition TVs, advanced multi-media systems, remote sensing systems via satellite, aircraft, radar, teleconferencing, email and social media, mobile phones, hand held PCs etc. Efficient compression of data would significantly decrease the overheads in both the communication ...

In this work Artificial Intelligence (AI) techniques like Fuzzy logic, Genetic Algorithms and Particle Swarm Optimization have been used to improve the performance of the Automatic Generation Control (AGC) system. Instead of applying Genetic Algorithms and Particle swarm optimization independently for optimizing the parameters of the conventional AGC with PI controller, an intelligent tuned Fuz...

introduction: ultraviolet (uv) radiation affects human organs such as skin, eyes and immune system, as well as animals and plants. the main natural source of uv radiation is the sun. to study the effects of solar uv radiation there is a need to quantify variations of solar energy received on the earth surface at different intervals. materials and methods: to measure uv radiation a broadband fib...

Radiochromic film is tested for its broad-band response to ultraviolet (UV) B (290-320 nm) and A (320 nm400 nm), visible and infrared radiation produced by a solar simulator and examined for dosimetry in ultraviolet radiation. Results show that MD-55-2 radiochromic film in solar and fluorescent light sources responds almost exclusively to broad-band UVA radiation with negligible colouration fro...

This chapter investigates the use of different artificial intelligence and classical techniques for forecasting the monthly yield of the US 10-year Treasury bonds from a set of four economic indicators. The task is particularly challenging due to the sparseness of the data samples and the complex interactions amongst the variables. At the same time, it is of high significance because of the imp...