7 papers · ranked by Valyu relevance
Attila Egri-Nagy
Programming languages tend to evolve over time to use more and more concepts from theoretical computer science. Still, there is a gap between programming and pure mathematics. Not all theoretical results have realized their promising applications. The algebraic decomposition of finite state automata (Krohn-Rhodes…
Kees Schouhamer Immink, Jos H. Weber, Tuan Thanh Nguyen, Kui Cai + 2 more
The design of low-complexity and efficient constrained codes has been a major research item for many years. This paper reports on a versatile method named concatenated constrained codes for designing efficient fixed-length constrained codes with small complexity. A concatenated constrained code comprises two (or more)…
R. Arumuga Arun, S. Umamaheswari, Islabudeen Mohamed Meerasha, B. Mohankumar
Weeds are one of the primary factors that reduce crop productivity by competing for nutrients and water, causing the plant to lose weight and resulting in reduced grain yield. Traditional agricultural practices often rely on uniform herbicide application, which can contaminate soil and raise costs. On agricultural…
Attila Egri-Nagy
The advancement of automated coding tools may reduce in the future the number of people willing to learn computer programming. We assume that the skill of computational problem solving is not only for the immediate economic benefit, but an important part of our knowledge about the world. As the incentives to learn are…
Authors not listed
RNA molecules fold into complex three-dimensional structures that determine their function. A wide range of mathematical frameworks, such as chord diagrams, fatgraphs, and context-free grammars, have been used to represent these structures; however, these models have largely been developed from mathematical motivations…
Velez-Ginorio, Joey, Amin, Nada + 4 more
We don't program neural networks directly. Instead, we rely on an indirect style where learning algorithms, like gradient descent, determine a neural network's function by learning from data. This indirect style is often a virtue; it empowers us to solve problems that were previously impossible. But it lacks discrete…
Akmuhammet Ashyralyyev, Zülal Bingöl, Begüm Filiz Öz, Kaiyuan Zhu + 4 more
Efficient and consistent string processing is critical in the exponentially growing genomic data era. Locally Consistent Parsing (LCP) addresses this need by partitioning an input genome string into short, exactly matching substrings (“cores”), ensuring consistency across partitions. Compared to the popular sketching…