Biclustering data analysis: a comprehensive survey

EN Castanho, H Aidos, SC Madeira - Briefings in Bioinformatics, 2024 - academic.oup.com
Biclustering, the simultaneous clustering of rows and columns of a data matrix, has proved
its effectiveness in bioinformatics due to its capacity to produce local instead of global …

GPU-accelerated lattice Boltzmann simulation of heat transfer characteristics of porous brick roof filled with phase change materials

Z Luo, H Xu, Q Lou, L Feng, J Ni - International Communications in Heat …, 2020 - Elsevier
This paper presents a numerical study on the heat transfer characteristics of a porous brick
roof filled with phase change materials (PCMs) in a typical day of June 2019 in Shanghai …

FuBiNFS–fuzzy biclustering neuro-fuzzy system

K Siminski - Fuzzy Sets and Systems, 2022 - Elsevier
In data sets some attributes may have higher or lower importance. One of the tools used for
data analysis of such datasets are subspace neuro-fuzzy systems. They elaborate fuzzy …

A multi-level iterative bi-clustering method for discovering miRNA co-regulation network of abiotic stress tolerance in soybeans

H Chang, H Zhang, T Zhang, L Su, QM Qin… - Frontiers in Plant …, 2022 - frontiersin.org
Although growing evidence shows that microRNA (miRNA) regulates plant growth and
development, miRNA regulatory networks in plants are not well understood. Current …

一种分层并行计算的软件化雷达系统.

赵帮, 李武旭, 赵浩然 - Telecommunication Engineering, 2022 - search.ebscohost.com
为解决软件化雷达系统实时处理大规模数据的问题, 提出了一种分层级的分布式并行计算方法,
并设计了一种低延时大规模数据处理能力的软件化雷达系统. 该系统采用三层并行计算方法 …

VATE: A trade-off between memory and preserving time for high accurate cardinality estimation under sliding time window

J Xu, W Ding, X Hu, Q Gong - Computer Communications, 2019 - Elsevier
Host cardinality is one of the most important attributes in the field of network research. The
cardinality estimation under sliding time window has become a research hotspot in recent …

Data science and Machine learning in the Clouds: A Perspective for the Future

HB Barua - arXiv preprint arXiv:2109.01661, 2021 - arxiv.org
As we are fast approaching the beginning of a paradigm shift in the field of science, Data
driven science (the so called fourth science paradigm) is going to be the driving force in …

A multi-GPU biclustering algorithm for binary datasets

A Lopez-Fernandez, D Rodriguez-Baena… - Journal of Parallel and …, 2021 - Elsevier
Abstract Graphics Processing Units technology (GPU) and CUDA architecture are one of the
most used options to adapt machine learning techniques to the huge amounts of complex …

Optimization of clutter simulation based on GPU

G Xu, F Hao, J Chen, C Xiu - IEEE Access, 2020 - ieeexplore.ieee.org
Weibull clutter is used as an example in this paper. Based on the serial parallel analysis of
Zero-memory non-linear transformation's Weibull distributed clutter algorithm, fine-grained …

Cloud big data mining and analytics: Bringing greenness and acceleration in the cloud

HB Barua, KC Mondal - Machine Learning for Data Science Handbook …, 2023 - Springer
Big data is gaining overwhelming attention since the last decade. Almost all the fields of
science and technology have experienced a considerable impact from it. The cloud …