Supervised Machine Learning Algorithms for Measuring and Promoting Sustainable Transportation and Green Logistics

Castaneda, Juliana; Cardona, John F.; Martins, Leandro do C.; Juan, Ángel A.

doi:10.1016/j.trpro.2021.11.061

Cited by 9 publications

(2 citation statements)

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“…The feature extraction technique is used in BPNN to extract the important dataset from images. Features that are extracted provide the necessary set of data for the image recognition process [ 15 ]. BPNN trains the dataset that is produced by the feature extraction technique.…”

Section: Introductionmentioning

confidence: 99%

Logistics Information Traceability Mechanism of Fresh E-Commerce Based on Image Recognition Technology

Zhang

Shao

2022

Applied Bionics and Biomechanics

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Logistics migration and movement require precise information updates for traceability and visibility of goods through E-commerce platforms. Computer vision and digital image processing techniques are used for visual identification and tracking through different warehouses and delivery points. In this article, an incessant visualized tracking scheme (IVTS) is designed for identifying and tracking E-commerce logistics throughout the migration points. This scheme endorsed computer vision technology for logistics recognition and labelled data detection. In this scheme, the labelled logistics data is verified for its similarity in different migrating locations and to the endpoint. Based on the dimensional features and regional-pixel similarity factor, it is verified using the deep neural network. This learning process identifies dimensional variations due to logistics displacement and position suppressing the similarity variations. It is performed based on the migration and information available to prevent tracking errors. For the varying locations and logistics displacement, the error pixel regions are identified and trained for possible similarity detection. The proposed scheme effectively improves visual accuracy, tracking maximization, and logistics detection by reducing dimensional errors.

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Section: Introductionmentioning

confidence: 99%

Logistics Information Traceability Mechanism of Fresh E-Commerce Based on Image Recognition Technology

Zhang

Shao

2022

Applied Bionics and Biomechanics

View full text Add to dashboard Cite

show abstract

“…Title Methods [9] Supervised machine learning algorithms for measuring and promoting sustainable transportation and green logistics Decision trees Discriminant analysis the nearest neighbour support vector machine [10] Profit margin prediction in sustainable road freight transportation using machine learning…”

Section: Referencementioning

confidence: 99%