Abstract: Huffman Encoding is widely used for lossless data compression. This work proposes a novel implementation of Huffman Encoder employing Depth-First Search (DFS) traversal within a Finite State ...
Before artificial intelligence was digital, it was mechanical. Before neural networks learned through backpropagation, tiny motors and relays learned through trial ...
The design of cryptographic hash functions is crucial for ensuring the security of digital information. In this context, cellular automata (CAs) have emerged as a promising tool due to their inherent ...
The PyCX project aims to develop an online repository of simple, crude, yet easy-to-understand Python sample codes for dynamic complex systems modeling and simulation, including iterative maps, ...
Simulation approach involves the use of computers and mathematical models to simulate real systems for experimentation or tests that evaluate the behavior and performance of a system or predict the ...
The increasing trend in land surface temperature (LST) and the formation of urban heat islands (UHIs) has emerged as a persistent challenge for urban planners and decision-makers. The current research ...
Road traffic flow forecasting provides critical information for the operational management of road mobility challenges, and models are used to generate the forecast. This paper uses a random process ...
Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States Department of Materials Science and Engineering, University of California, Berkeley, ...
An agent-based model, often referred to as agent-based modeling (ABM), is a class of computer simulations that mimic the interactions of autonomous agents (individuals, entities, or groups) to ...
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