Variable data structures and customized deep learning surrogates for computationally efficient and reliable characterization of buried objects
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-65996-0
Abstract: In this study, in order to characterize the buried object via deep-learning-based surrogate modeling approach, 3-D full-wave electromagnetic simulations of a GPR model have been used. The task is to independently predict characteristic parameters of… read more here.
Keywords: deep learning; variable data; computationally efficient; model ... See more keywords
Development and evaluation of a novel framework to enhance k-NN algorithm’s accuracy in data sparsity contexts
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-76909-6
Abstract: This paper presents a novel framework for implementing the k-NN algorithm, designed to enhance its accuracy in contexts with sparse data. The framework addresses limitations in the algorithm’s training process by optimizing data structures. It… read more here.
Keywords: novel framework; framework; development evaluation; accuracy ... See more keywords
Data structures for music encoding: tables, trees, and graphs
Sign Up to like & getrecommendations! Published in 2024 at "Journal of New Music Research"
DOI: 10.1080/09298215.2024.2412598
Abstract: One of the challenges in planning a digital edition is the selection of the encoding system and representation format that the edition will use to encode musical information. This decision affects the form of the… read more here.
Keywords: trees graphs; tables trees; structures music; data structures ... See more keywords
Reactome diagram viewer: data structures and strategies to boost performance
Sign Up to like & getrecommendations! Published in 2018 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btx752
Abstract: Abstract Motivation Reactome is a free, open-source, open-data, curated and peer-reviewed knowledgebase of biomolecular pathways. For web-based pathway visualization, Reactome uses a custom pathway diagram viewer that has been evolved over the past years. Here,… read more here.
Keywords: diagram viewer; data structures; performance; reactome ... See more keywords
Using reference-free compressed data structures to analyze sequencing reads from thousands of human genomes.
Sign Up to like & getrecommendations! Published in 2017 at "Genome research"
DOI: 10.1101/gr.211748.116
Abstract: We are rapidly approaching the point where we have sequenced millions of human genomes. There is a pressing need for new data structures to store raw sequencing data and efficient algorithms for population scale analysis.… read more here.
Keywords: bwt; sequencing reads; reference; human genomes ... See more keywords
Pavo: A RNN-Based Learned Inverted Index, Supervised or Unsupervised?
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2018.2885350
Abstract: The booms of big data and graphic processing unit technologies have allowed us to explore more appropriate data structures and algorithms with smaller time complexity. However, the application of machine learning as a potential alternative… read more here.
Keywords: inverted index; data structures; learned inverted; based learned ... See more keywords
A Shifting Framework for Set Queries
Sign Up to like & getrecommendations! Published in 2017 at "IEEE/ACM Transactions on Networking"
DOI: 10.1109/tnet.2017.2730227
Abstract: Set queries are fundamental operations in computer networks. This paper addresses the fundamental problem of designing a probabilistic data structure that can quickly process set queries using a small amount of memory. We propose a… read more here.
Keywords: framework; framework set; shifting framework; shbf ... See more keywords
Compact and Computationally Efficient Representation of Deep Neural Networks
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2019.2910073
Abstract: At the core of any inference procedure, deep neural networks are dot product operations, which are the component that requires the highest computational resources. For instance, deep neural networks, such as VGG-16, require up to… read more here.
Keywords: computationally efficient; data structures; compact computationally; deep neural ... See more keywords
Replicated Versioned Data Structures for Wide-Area Distributed Systems
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2022.3217969
Abstract: In this work, we investigate the integration of replicated versioned data structures and append-only distributed storage systems. Doing so facilitates high availability and scalability while providing developer access to different versions of program data structures… read more here.
Keywords: versioned data; data structures; replicated versioned; distributed systems ... See more keywords
Spanning Trees as Approximation of Data Structures
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2020.2995465
Abstract: The connections in a graph generate a structure that is independent of a coordinate system. This visual metaphor allows creating a more flexible representation of data than a two-dimensional scatterplot. In this article, we present… read more here.
Keywords: high dimensional; spanning trees; approximation data; stad ... See more keywords
Key Concepts, Weakness and Benchmark on Hash Table Data Structures
Sign Up to like & getrecommendations! Published in 2022 at "Algorithms"
DOI: 10.3390/a15030100
Abstract: Most computer programs or applications need fast data structures. The performance of a data structure is necessarily influenced by the complexity of its common operations; thus, any data-structure that exhibits a theoretical complexity of amortized… read more here.
Keywords: data structures; hash tables; key concepts; hash ... See more keywords