Results 61 to 70 of about 1,126,963 (280)
Signature-based Tree for Finding Frequent Itemsets
Journal of Communications Software and Systems, 2023 The efficiency of a data mining process depends on the data structure used to find frequent itemsets. Two approaches are possible: use the original transaction dataset or transform it into another more compact structure.
Mohamed El Hadi Benelhadj +2 more
doaj +1 more source
Diversity and complexity in neural organoids
FEBS Letters, EarlyView.Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
Scalable RDF Data Compression using X10 [PDF]
, 2014 The Semantic Web comprises enormous volumes of semi-structured data elements. For interoperability, these elements are represented by long strings.
Cheng, Long +4 more
core +1 more source
ACM Computing Surveys, 1987 This paper surveys a variety of data compression methods spanning almost 40 years of research, from the work of Shannon, Fano, and Huffman in the late 1940s to a technique developed in 1986. The aim of data compression is to reduce redundancy in stored or communicated data, thus increasing effective data density.
Lelewer, Debra A., Hirschberg, Daniel S.
openaire +3 more sources
FEBS Letters, EarlyView.Mitochondrial remodeling shapes neural and glial lineage progression by matching metabolic supply with demand. Elevated OXPHOS supports differentiation and myelin formation, while myelin compaction lowers mitochondrial dependence, revealing mitochondria as key drivers of developmental energy adaptation.
Sahitya Ranjan Biswas +3 more
wiley +1 more source
Deep Lossless Compression Algorithm Based on Arithmetic Coding for Power Data
Sensors, 2022 Classical lossless compression algorithm highly relies on artificially designed encoding and quantification strategies for general purposes. With the rapid development of deep learning, data-driven methods based on the neural network can learn features ...
Zhoujun Ma +4 more
doaj +1 more source
Joint Data compression and Computation offloading in Hierarchical Fog-Cloud Systems [PDF]
, 2019 Data compression has the potential to significantly improve the computation offloading performance in hierarchical fog-cloud systems. However, it remains unknown how to optimally determine the compression ratio jointly with the computation offloading ...
Ha, Vu Nguyen +3 more
core +1 more source
Molecular Oncology, EarlyView.Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra +10 more
wiley +1 more source
Golomb–Rice Coder-Based Hybrid Electrocardiogram Compression System
Engineering Proceedings, 2023 Heart-related ailments have become a significant cause of death around the globe in recent years. Due to lifestyle changes, people of almost all age brackets face these issues.
Sachin Himalyan, Vrinda Gupta
doaj +1 more source
Parallel Implementation of Lossy Data Compression for Temporal Data Sets
, 2017 Many scientific data sets contain temporal dimensions. These are the data storing information at the same spatial location but different time stamps.
Agrawal, Ankit +6 more
core +1 more source