Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Jing Doo Wang"'
Publikováno v:
Computers, Materials & Continua; 2023, Vol. 76 Issue 3, p3097-3112, 16p
Publikováno v:
IET Smart Cities. 2:135-145
It is highly desirable that traffic controllers or city residents can discern regular patterns and promptly detect irregularities or abnormal events in a public transportation system. This study proposes a web-based information system that allows use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df9310a6d18a6173780832b25d6ef2a2
https://doi.org/10.1049/iet-smc.2020.0017
https://doi.org/10.1049/iet-smc.2020.0017
Publikováno v:
Advances in Decision Sciences. 24:167-189
Most high school students in the metropolitan areas of Taiwan commute to school by public transportation. Due to the great pressure of academic workload, the time spent on commuting is an unbearable burden. In this study, by using both field study an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::017137ee6b4fe0d78c81daf07bad1ed2
https://doi.org/10.47654/v24y2020i2p167-189
https://doi.org/10.47654/v24y2020i2p167-189
Autor:
Jing-Doo Wang, Ming-Chorng Hwang
Publikováno v:
Applied Sciences, Vol 7, Iss 9, p 878 (2017)
It is attractive to extract and determine the key features of traffic patterns for mitigating road congestion and predicting travel time of vehicles in traffic analysis. Based on the previous work that is a scalable approach via a Hadoop MapReduce pr
Externí odkaz:
https://doaj.org/article/6747e485f4db40848b3544c77a9391c1
Autor:
Jing-Doo Wang
Publikováno v:
The Journal of Supercomputing. 72:3236-3260
This paper provides valuable clues for trend analysis in text mining that one can have texts attached with timestamps as tags and then observe the frequency distribution of the patterns over equally spaced time intervals to predict the trend. Observi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf69183de7f2cdfd164254c98c9c078a
https://doi.org/10.1007/s11227-016-1713-z
https://doi.org/10.1007/s11227-016-1713-z
Autor:
Yi-Chun Wang, Jing-Doo Wang
Publikováno v:
BIBE
This paper aims to construct two relationship trees of all viruses using two types of genomic sequences, DNA("deoxyribonucleic acid") and CDS ("coding sequence"), respectively, via a previously developed approach BBRD (BLAST-Based Relative Distance).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fde1f348bf819548edff0317a9f90ba2
https://doi.org/10.1109/bibe.2018.00010
https://doi.org/10.1109/bibe.2018.00010
Autor:
Jing-Doo Wang
Publikováno v:
Bioinformatics in the Era of Post Genomics and Big Data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a9ab087666bce7b63e216b24f5f178c
https://doi.org/10.5772/intechopen.75113
https://doi.org/10.5772/intechopen.75113
Autor:
Jing-Doo Wang
Publikováno v:
MATEC Web of Conferences, Vol 201, p 05002 (2018)
Quality control is an essential issue for manufacture, especially when the manufacture is towards intelligent manufacturing that is associated with “Internet of thing”(IOT) and “Artificial Intelligence”(AI) to speed up the rate of product lin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1e35436bb0fcc52ce159139af21de80
https://doaj.org/article/cb4db901134245499977a5824b32f8ab
https://doaj.org/article/cb4db901134245499977a5824b32f8ab
Publikováno v:
Molecular Phylogenetics and Evolution. 84:101-111
We developed a novel BLAST-Based Relative Distance (BBRD) method by Pearson's correlation coefficient to avoid the problems of tedious multiple sequence alignment and complicated outgroup selection. We showed its application on reconstructing reliabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0097f79292e32857036ce481daf01085
https://doi.org/10.1016/j.ympev.2014.12.002
https://doi.org/10.1016/j.ympev.2014.12.002
Publikováno v:
BIBE
This paper aims to extract significant DNA sequences appearing in both the genomes of human and viruses. To extract the co-occurrences of DNA sequences as long as possible, this study adopts a scalable approach that is based on hadoop mapreduce progr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de58ffccf69a46531a00d8a68c395be9
https://doi.org/10.1109/bibe.2017.00-70
https://doi.org/10.1109/bibe.2017.00-70