Small scaled image lost some important bits of information which cannot be recovered when scaled back. Using multi-objective genetic algorithm, we can recover these lost bits. In this paper, we described a genetic algorithm approach to recover lost bits while image resized to the smaller version using the original image
Vehicle routing problems (VRP) are complicated problems, which can be encountered in a variety of different fields and are not possible to solve using conventional methods. Thanks to the technological advancements in areas such as the global positioning system (GPS), geographical information systems (GIS), mobile communication networks, and traffic sensors,
Hidden Markov Model (HMM) is a statistical model based on probabilities. HMM is becoming one of the major models involved in many applications such as natural language processing, handwritten recognition, image processing, prediction systems and many more. In this research we are concerned with finding out the best HMM for
