Results 71 to 80 of about 82,469 (304)

Evaluation and selection of sustainable suppliers in supply chain using new GP-DEA model with imprecise data

Journal of Industrial Engineering International, 2017
Nowadays, with respect to knowledge growth about enterprise sustainability, sustainable supplier selection is considered a vital factor in sustainable supply chain management. On the other hand, usually in real problems, the data are imprecise.
Saeid Jafarzadeh Ghoushchi, Mehran Dodkanloi Milan, Mustafa Jahangoshai Rezaee   +2 more
doaj   +1 more source

Flow computations on imprecise terrains

, 2011
We study water flow computation on imprecise terrains. We consider two approaches to modeling flow on a terrain: one where water flows across the surface of a polyhedral terrain in the direction of steepest descent, and one where water only flows along ...
Iacono, J., Silveira, R.I., Driemel, A., Haverkort, H.J., Löffler, M., Sack, J.R., Dehne, F.   +6 more
core   +1 more source

Diagnostic Accuracy of Size‐Based Preoperative CT Assessment for Predicting Lymph Node Metastasis in Colon Cancer: A Systematic Review and Meta‐Analysis

Annals of Gastroenterological Surgery, EarlyView.
Preoperative CT based on lymph node size shows moderate accuracy for detecting nodal metastasis in colon cancer. In this meta‐analysis of 29 studies (5,634 patients), pooled sensitivity and specificity were 0.69 and 0.66. Size‐based CT alone has limited value for clinical decision‐making.
Yuji Takayama, Tomoya Shimizu, Jun Watanabe, Shimpei Ogawa, Yukihide Kanemitsu   +4 more
wiley   +1 more source

Analysis of imprecise measurement data utilizing z-test for correlation

Journal of Big Data
The conventional Z-test for correlation, grounded in classical statistics, is typically employed in situations devoid of vague information. However, real-world data often comes with inherent uncertainty, necessitating an adaptation of the Z-test using ...
Muhammad Aslam
doaj   +1 more source

Contemporary Regional Disparities in Robotic‐Assisted Rectal Resection in Japan: A Nationwide Population‐Based Study Using the National Database Open Data

Annals of Gastroenterological Surgery, EarlyView.
Robotic‐assisted rectal resection in Japan increased markedly after national insurance reimbursement in 2018, with a concurrent decline in open surgery. Using NDB Open Data, we found substantial inter‐prefectural heterogeneity in surgical volume and robotic utilization that persisted after age and sex standardization (SCR). Urban–rural differences were
Ryo Ohta, Takeshi Yamada, Key Uehara, Hiromichi Sonoda, Akihisa Matsuda, Seiichi Shinji, Yasuyuki Yokoyama, Goro Takahashi, Nobuhiko Taniai, Hiroshi Yoshida   +9 more
wiley   +1 more source

Accurate and Anti‐Interference Control of Computer Vision‐Assisted Light‐Driven Liquid Crystal Elastomer Actuator

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article introduces a computer vision‐assisted control strategy for light‐driven liquid crystal elastomer actuators. Through negative feedback regulation, the liquid crystal elastomer actuator exhibits accurate and stable bending deformation in complex environments.
Wei Zhang, Zongxuan Wu, Li Lin, Yanjun Liu, Xiaoying Tang, Yajing Shen, Dan Luo   +6 more
wiley   +1 more source

A framework supporting imprecise queries and data

CoRR, 2019
This technical report provides some lightweight introduction and some generic use case scenarios motivating the definition of a database supporting uncertainties in both queries and data. This technical report is only providing the logical framework, which implementation is going to be provided in the final paper.
openaire   +2 more sources

Constructing a knowledge economy composite indicator with imprecise data. [PDF]

This paper focuses on the construction of a composite indicator for the knowledge based economy using imprecise data. Specifically, for some indicators we only have information on the bounds of the interval within which the true value is believed to lie.
Cherchye, Laurens, Moesen, Willem, Rogge, Nicky, Van Puyenbroeck, Tom   +3 more
core  

An Imprecise Label Ranking Method for Heterogeneous Data

, 2022
International audienceLearning to rank is an important problem in many sectors ranging from social sciences to artificial intelligence. However, it remains a rather difficult task to perform. Therefore, in some cases, it is preferable to perform cautious
Quost, Benjamin, Destercke, Sébastien, Basu, Tathagata   +2 more
core   +1 more source

OntoLogX: Ontology‐Guided Knowledge Graph Extraction From Cybersecurity Logs With Large Language Models

Advanced Intelligent Systems, EarlyView.
OntoLogX is an autonomous AI agent that uses large language models to transform unstructured cyber security logs into ontology grounded knowledge graphs. By integrating retrieval augmented generation, iterative correction, and a light‐weight log ontology, OntoLogX produces semantically consistent intelligence that links raw log events to MITRE ATT & CK
Luca Cotti, Idilio Drago, Anisa Rula, Devis Bianchini, Federico Cerutti   +4 more
wiley   +1 more source