Cellular automata (CA) are discrete dynamical systems consist of a regular finite grid of cell; each cell encapsulating an equal portion of the state, and arranged spatially in a regular fashion to form an n-dimensional lattice. A cellular automata is like computers, data represented by initial configurations which is processed by time evolution to produce output. This paper is an empirical stu...

The term cellular computer can be associated with a number of computational engines that range from chip-level architectures to massively parallel systems of the size of Connection Machine, and whose common characteristics include the relative large number of simple processing units with limited local memory, as well as, the simple (mostly synchronous/broadcasting) communication protocols. From...

To cope with fast changing customer requirements, industrial demands and to meet stringent specifications of customers Cellular Manufacturing Systems has become an effective tool in hands of manufacturers. Most of the published literature on cell formation earlier considers only the data available in the route sheets and ignored subproblems associated with cell formation. There is a need to dev...

This paper deals with fuzzy cellular neural networks (FCNNs) with leakage delays and proportional delays. Applying the differential inequality strategy, fixed point theorem and almost periodic function principle, some sufficient criteria which ensure the existence and global attractivity of a unique almost periodic solution for fuzzy cellular neuralnetworks with leakage delays and p...

objective(s): similar characteristics of molecular pathways between cellular reprogramming events and tumorigenesis have been accentuated in recent years. reprogramming-related transcription factors, also known as yamanaka factors (oct4, sox2, klf4, and c-myc), are also well-known oncogenes promoting cancer initiation, progression, and cellular transformation into cancer stem cells. long non-co...

background: growth factors play an essential role in the development of tumor and normal cells like testicular leydig cells. treatment of cancer with anti-cancer agents like imatinib mesylate may interfere with normal leydig cell activity, growth and fertility through failure in growth factors’ production or their signaling pathways. the purpose of the study was to determine cellular viability ...

In this paper, we propose a Cellular Edge Detection (CED) algorithm which utilizes Cellular Automata (CA) and Cellular Learning Automata (CLA). The CED algorithm is an adaptive, intelligent and learnable algorithm for edge detection of binary and grayscale images. Here, we introduce a new CA local rule with adaptive neighborhood type to produce the edge map of image as opposed to CA with fixed ...