Results 61 to 70 of about 867,799 (293)

The Role of Coordination Mechanisms and Transaction Costs Promoting Sustainability Performance in Agri‐Food Supply Chains: Evidence From Ecuador

Agribusiness, EarlyView.
ABSTRACT Social tensions and resource depletion pose significant challenges to the agri‐food sector, highlighting the need for coordinated strategies to ensure sustainability in supply chains. Despite its critical importance, the relationship between coordination mechanisms and sustainability performance remains underexplored.
Carlos Moreno‐Miranda, Liesbeth Dries
wiley   +1 more source

A Conceptual Metadata Framework for Spatial Data Warehouse [PDF]

International Journal of Data Mining & Knowledge Management Process (IJDKP) Vol.3, No.3, May 2013, 2013
Metadata represents the information about data to be stored in Data Warehouses.It is a mandatory element of Data Warehouse to build an efficient Data Warehouse.Metadata helps in data integration,lineage,data quality and populating transformed data into data warehouse.Spatial data warehouses are based on spatial data mostly collected from Geographical ...
arxiv   +1 more source

How Competitive Is Myanmar's Rice Sector? A Comparison of Production Costs and Efficiency

Agribusiness, EarlyView.
ABSTRACT This paper analyzes the cost competitiveness of rice production in Myanmar by examining production costs, cost efficiency, and the potential effect of improving cost efficiency on the country's global competitiveness. To achieve this, we conduct a comparative analysis of production costs among major rice‐producing countries and estimate the ...
Nandar Aye Chan, Orkhan Sariyev, Mohammad Ariful Islam, Manfred Zeller   +3 more
wiley   +1 more source

Explainable machine learning in cybersecurity: A survey

International Journal of Intelligent Systems, Volume 37, Issue 12, Page 12305-12334, December 2022., 2022
Abstract Machine learning (ML) techniques are increasingly important in cybersecurity, as they can quickly analyse and identify different types of threats from millions of events. In spite of the increasing number of possible applications of ML, successful adoption of ML models in cybersecurity still highly relies on the explainability of those models ...
Feixue Yan, Sheng Wen, Surya Nepal, Cecile Paris, Yang Xiang   +4 more
wiley   +1 more source

Identifying oral disease variables associated with pneumonia emergence by application of machine learning to integrated medical and dental big data to inform eHealth approaches

Frontiers in Dental Medicine, 2022
BackgroundThe objective of this study was to build models that define variables contributing to pneumonia risk by applying supervised Machine Learning (ML) to medical and oral disease data to define key risk variables contributing to pneumonia emergence ...
Neel Shimpi, Ingrid Glurich, Aloksagar Panny, Harshad Hegde, Frank A. Scannapieco, Amit Acharya   +5 more
doaj   +1 more source

Optimal reactive operation of general topology supply chain and manufacturing networks under disruptions

AIChE Journal, EarlyView.
Abstract Supply and manufacturing networks in the chemical industry involve diverse processing steps across different locations, rendering their operation vulnerable to disruptions from unplanned events. Optimal responses should consider factors such as product allocation, delayed shipments, and price renegotiation, among other factors. In such context,
Daniel Ovalle, Joshua L. Pulsipher, Yixin Ye, Kyle Harshbarger, Scott Bury, Carl D. Laird, Ignacio E. Grossmann   +6 more
wiley   +1 more source

Indoor Area Estimation System Using RSSI-Measuring Handheld Reader Utilizing Directional Reference RFID Tags and Machine Learning

IEEE Access
Achieving efficient warehouse operations for product management in an indoor environment has recently become a challenging issue. If a user can store a product in a vacant place and then roughly localize the product with a simple system, this ...
Danang Kumara Hadi, Zequn Song, Budi Rahmadya, Shogo Kozume, Tomonori Sumiya, Ran Sun, Shigeki Takeda, Xiaoyan Wang   +7 more
doaj   +1 more source

AInsectID Version 1.1: An Insect Species Identification Software Based on the Transfer Learning of Deep Convolutional Neural Networks

Advanced Intelligent Discovery, EarlyView.
This paper describes the basis for AInsectID Version 1, a GUI‐operable open‐source insect species identification, color processing, and image analysis software. This paper discusses our methods of algorithmic development, coupled to rigorous machine training used to enable high levels of validation accuracy.
Haleema Sadia, Parvez Alam
wiley   +1 more source

Autonomous Intuition for Advanced Manufacturing Systems: Benefits and Tradeoffs of Presampling for Autonomous Parameterization

Advanced Intelligent Discovery, EarlyView.
Sampling a design space to target a class of possible desirable outcomes, creating an artificial intuition, can accelerate future optimizations to those targets. This is tested experimentally with parameterization to achieve various geometries of freestanding structures using direct ink write (DIW) 3D printing.
Erick J. Braham, Marshall Johnson, Andrew Fassler, Surya R. Kalidindi, James Hardin   +4 more
wiley   +1 more source

Generative Ai for Cardiovascular Cell Type‐Specific Fluorescence Colorization of Live‐Cell hPSC‐Derived Cardiac Organoids

Advanced Intelligent Discovery, EarlyView.
A generative AI system is developed for colorizing phase contrast images of human pluripotent stem cell (hPSC)‐derived cardiac organoids (COs) from bright‐field microscopic imaging using conditional generative adversarial networks (cGANs). By giving these phase contrast images with multichannel fluorescence colorization, this intelligence system ...
Arun Kumar Reddy Kandula, Tanakit Phamornratanakun, Angello Huerta Gomez, Marcel El‐Mokahal, Zhen Ma, Yunhe Feng, Huaxiao Yang   +6 more
wiley   +1 more source