Results 31 to 40 of about 61,598 (309)

OSCAR: A Semantic-based Data Binning Approach [PDF]

open access: yes, 2022
Binning is applied to categorize data values or to see distributions of data. Existing binning algorithms often rely on statistical properties of data. However, there are semantic considerations for selecting appropriate binning schemes.
Correll, Michael   +2 more
core   +1 more source

Evaluating metagenomics tools for genome binning with real metagenomic datasets and CAMI datasets

open access: yesBMC Bioinformatics, 2020
Background Shotgun metagenomics based on untargeted sequencing can explore the taxonomic profile and the function of unknown microorganisms in samples, and complement the shortage of amplicon sequencing. Binning assembled sequences into individual groups,
Yi Yue   +9 more
doaj   +1 more source

On-line extensible bin packing with unequal bin sizes [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2004
Analysis of Algorithms In the extensible bin packing problem we are asked to pack a set of items into a given number of bins, each with an original size. However, the original bin sizes can be extended if necessary. The goal is to minimize the total size of the bins.
Deshi Ye, Guochuan Zhang
openaire   +4 more sources

Study on Supervised Learning Model for Optimal Histogram Solution [PDF]

open access: yesJisuanji kexue, 2023
The dynamic programming binning algorithm is currently used to realize the optimal histogram.However,its time complexity is too high.A supervised learning model based on ProbSparse self-attention is proposed in this paper to learn the dynamic programming
CHEN Yunliang, LIU Hao, ZHU Guishui, HUANG Xiaohui, CHEN Xiaodao, WANG Lizhe
doaj   +1 more source

Interpreting Microbial Biosynthesis in the Genomic Age: Biological and Practical Considerations

open access: yesMarine Drugs, 2017
Genome mining has become an increasingly powerful, scalable, and economically accessible tool for the study of natural product biosynthesis and drug discovery.
Ian J. Miller   +2 more
doaj   +1 more source

Characterization of Core Microbiomes and Functional Profiles of Mesophilic Anaerobic Digesters Fed With Chlorella vulgaris Green Microalgae and Maize Silage

open access: yesFrontiers in Energy Research, 2019
Microalgal biomass is an alternative feedstock for biogas production although its C/N ratio is usually lower than optimal, therefore co-fermentation is recommended. Biogas production from photoautotrophically grown Chlorella vulgaris (C.
Roland Wirth   +8 more
doaj   +1 more source

I-bin: The intelligent and entertaining bin [PDF]

open access: yes2014 17th International Conference on Computer and Information Technology (ICCIT), 2014
The objective of this project is to develop a program on android device to remotely control a robot to collect discarded material by using human voice command and can detect hindrance autonomously. In this recent time, android device as a user and as developer is become more popular, so we have selected android mobile operating system based device ...
Mohammad Wasiul Haq   +2 more
openaire   +1 more source

BinSPreader: Refine binning results for fuller MAG reconstruction

open access: yesiScience, 2022
Summary: Despite the recent advances in high-throughput sequencing, metagenome analysis of microbial populations still remains a challenge. In particular, the metagenome-assembled genomes (MAGs) are often fragmented due to interspecies repeats, uneven ...
Ivan Tolstoganov   +4 more
doaj   +1 more source

Bi-Dimensional Binning for Big Genomic Datasets [PDF]

open access: yes, 2017
Binning the genome is used in order to parallelize big data operations upon regions. In this extended abstract, we comparatively evaluate the performance and scalability of Spark and SciDB implementations over datasets consisting of billions of genomic ...
CATTANI, SIMONE   +4 more
core   +1 more source

Enhancement and Expansion of the Neural Network-Based Compact Model Using a Binning Method

open access: yesIEEE Journal of the Electron Devices Society
The artificial neural network (ANN)-based compact model has significant advantages over physics-based standard compact models such as BSIM-CMG because it can achieve higher accuracy over a wide range of geometric parameters.
Jinyoung Choi   +6 more
doaj   +1 more source

Home - About - Disclaimer - Privacy