Journal of Artificial Intelligence Research & Advances
Volume 1, Issue 2 (2014)
Published
Table of contents
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A Production Inventory Model in a Random Planning Horizon Incorporating Learning Effects on Inventory Costs Under Inflation and Time Value of Money via Genetic Algorithm
Abstract: A production inventory model for a new product is developed incorporating inflation and time value of money. It is assumed that lifetime of the product is random in nature and follows exponential distribution with a known mean. So planning horizon of the model is random in nature. Here learning effect on production and set-up cost is incorporated. Model is formulated to maximize the expected profit from the whole plan-ning horizon …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 1, Issue 2, 2014 · pp. 1–12 Read article
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Text Extraction from Images Using Connected Component Method
Abstract: Text information from image serves as an important clue for many image based applications. it has been used in many different applications such as; document analysis, vehicle licence plate extraction, content based information indexing, To name a few, the detection and extraction of text regions in images is a well-known problem in computer vision and image processing. However, variation of these texts due to differences in size, orientation style, and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 1, Issue 2, 2014 · pp. 13–18 Read article
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Face Detection and Recognition System Using Back- Propagation Neural Network Classifier
Abstract: Abstract Today Security is an important part of our everyday lives. Biometric technologies are used for providing and increasing the security of the organizations. Human face recognition is a potential method of biometric authentication. This paper represents a process of face detection and recognition system using principal component analysis with back-propagation neural network. For recognizing the faces there are several steps required. Principal component analysis is used for feature extraction …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 1, Issue 2, 2014 · pp. 19–24 Read article