Results 41 to 50 of about 2,152,161 (366)

YOLOv7-Branch: A Jujube Leaf Branch Detection Model for Agricultural Robot

Sensors
The intelligent harvesting technology for jujube leaf branches presents a novel avenue for enhancing both the quantity and quality of jujube leaf tea, whereas the precise detection technology for jujube leaf branches emerges as a pivotal factor ...
Ruijun Jing, Jijiang Xu, Jingkai Liu, Xiongwei He, Zhiguo Zhao   +4 more
doaj   +1 more source

AI-based neural network models for bus passenger demand forecasting using smart card data

Journal of Urban Management, 2022
Accurate short-term forecasting of public transport demand is essential for the operation of on-demand public transport. Knowing where and when future demands for travel are expected allows operators to adjust timetables quickly, which helps improve ...
Sohani Liyanage, Rusul Abduljabbar, Hussein Dia, Pei-Wei Tsai   +3 more
doaj  

Large-scale Complex IT Systems [PDF]

, 2011
This paper explores the issues around the construction of large-scale complex systems which are built as 'systems of systems' and suggests that there are fundamental reasons, derived from the inherent complexity in these systems, why our current software
Antoniou G., Cabinet Office, Dave Cliff, Ian Sommerville, John Mcdermid, Justin Keen, Marta Kwiatkowska, Radu Calinescu, Richard Paige, Sillitto H.T., Tim Kelly, University of York.   +11 more
core   +2 more sources

Optimal SNP filtering strategies for pedigree reconstruction: A case study with wild red‐spotted masu salmon population

Population Ecology, EarlyView.
In this article, we tested optimal SNP filtering strategies for accurate parentage assignment and pedigree reconstruction for a wild population of red‐spotted masu salmon, Oncorhynchus masou ishikawae. We found that mid‐point filtering in terms of call rate and minor allele frequency performs well for pedigree reconstruction.
Shohei Noda, Tetsuya Akita, Rui Ueda, Takafumi Katsumura, Yasuyuki Hashiguchi, Hirohiko Takeshima, Takuya Sato   +6 more
wiley   +1 more source

Expression and Analysis of Uncertainty in Deep Foundation Pit Design Scheme Decision-Making

Advances in Civil Engineering
The burgeoning urbanization of major cities has precipitated a critical examination of deep foundation pit projects, with escalating costs, protracted construction phases, complex site conditions, and specialized technical requirements.
Yu Cui, Qun Wang, Tiebing Chen, Ronghui Deng, Xiaoliang Chen   +4 more
doaj   +1 more source

Evaluating the origin and spread of spotted lanternfly (Lycorma delicatula) in Japan

Population Ecology, EarlyView.
The invasive spotted lanternfly (Lycorma delicatula) is native to China and is a serious economic pest in the Republic of Korea and the United States, though it is not considered a pest in Japan. We established a distribution map of L. delicatula in Japan through a comprehensive review of published literature and citizen science reports and analyzed ...
Matthew T. Kamiyama, Michihiko Takahashi, Hannah J. Broadley, Francesc Gómez‐Marco, Mark S. Hoddle, Kenji Matsuura   +5 more
wiley   +1 more source

Gene Ontology-based function prediction of long non-coding RNAs using bi-random walk

BMC Medical Genomics, 2018
Background With the development of sequencing technology, more and more long non-coding RNAs (lncRNAs) have been identified. Some lncRNAs have been confirmed that they play an important role in the process of development through the dosage compensation ...
Jingpu Zhang, shuai Zou, Lei Deng
doaj   +1 more source

Comparison of kinship‐identification methods for robust stock assessment using close‐kin mark–recapture data for Pacific bluefin tuna

Population Ecology, EarlyView.
In this study, we compared three methods for kinship identification using different algorithms in samples of wild Pacific bluefin tuna and generated genotyping data. The three methods resulted in different numbers of inferred kinship pairs for both generated and actual data. Particularly for the half‐sibling pairs, considerable number of false‐positive
Yohei Tsukahara, Reiichiro Nakamichi, Aiko Matsuura, Tetsuya Akita, Atushi Fujiwara, Nobuaki Suzuki   +5 more
wiley   +1 more source

Regularized Fuzzy Neural Networks to Aid Effort Forecasting in the Construction and Software Development [PDF]

Volume 9, Number 6, 2018, 2018
Predicting the time to build software is a very complex task for software engineering managers. There are complex factors that can directly interfere with the productivity of the development team. Factors directly related to the complexity of the system to be developed drastically change the time necessary for the completion of the works with the ...
arxiv   +1 more source

A systematic approach for component-based software development [PDF]

, 2000
Component-based software development enables the construction of software artefacts by assembling prefabricated, configurable and independently evolving building blocks, called software components.
Ferreira Pires, L., Guareis de Farias, C.R., Sinderen, M.J. van   +2 more
core   +3 more sources