A machine learning-based Biding price optimization algorithm approach.

Heliyon

Department of Physics, College of Science, King Khalid University, Saudi Arabia.

Published: October 2023

Trading companies of used product market are struggling to gain customers attentaion and to sell the products. The aim of this research is to develop a mechanism that can maximize the sale of products while considering profit implications. The literature review classifies the procurement mechanism. Given the limited-supply nature, that also includes unpredictable quality levels and a procurement mechanism that perceives the company offering prices to suppliers on a single-item basis. The academic literature has not covered such a mechanism. Techniques like those that improve the required bidding strategy are reviewed and considered fit to be included in the support tool as the procedures intention to maximize an objective function depending on the bidding price and contain the probability of winning the auction and the profit made from the proceeding, the motivation laid on the approach that predicts the probability. It is determined that this assembles a Response to Reverse Request for Quotation that meets the assumptions of a First-Price Sealed-Bid(FPSD) auction that potentially includes a hidden reservation price.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10565696PMC
http://dx.doi.org/10.1016/j.heliyon.2023.e20583DOI Listing

Publication Analysis

Top Keywords

procurement mechanism
8
machine learning-based
4
learning-based biding
4
biding price
4
price optimization
4
optimization algorithm
4
algorithm approach
4
approach trading
4
trading companies
4
companies product
4

Similar Publications

Unlabelled: Juvenile myoclonic epilepsy (JME) exhibits abnormal functional connectivity of brain networks at multiple frequencies. We used the multilayer network model to address the heterogeneous features at different frequencies and assess the mechanisms of functional integration and segregation of brain networks in JME patients. To address the possibility of false edges or missing edges during network construction, we combined multilayer networks with link prediction techniques.

View Article and Find Full Text PDF

Objective: Nuclear transcription factor-κB (NF-κB) activation is a pivotal event in the pathogenesis of osteoarthritis (OA). OA patients frequently exhibit vitamin D (VD) deficiency, which is commonly associated with NF-κB activation. Our study aimed to investigate whether VD could protect against OA by modulating NF-κB pathway and to explore the underlying mechanisms.

View Article and Find Full Text PDF

Neurodegeneration in glaucoma patients is clinically identified through longitudinal assessment of structure-function changes, including intraocular pressure, cup-to-disc ratios from fundus images, and optical coherence tomography imaging of the retinal nerve fiber layer. Use of human post-mortem ocular tissue for basic research is rising in the glaucoma field, yet there are challenges in assessing disease stage and severity, since tissue donations with informed consent are often unaccompanied by detailed pre-mortem clinical information. Further, the interpretation of disease severity based solely on anatomical and morphological assessments by histology can be affected by differences in death-to-preservation time and tissue processing.

View Article and Find Full Text PDF

Identification of fatty acid anabolism patterns to predict prognosis and immunotherapy response in gastric cancer.

Discov Oncol

January 2025

Department of Clinical Laboratory, Laboratory Medicine Center, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China.

Gastric cancer (GC), one of the most common and heterogeneous malignancies, is the second leading cause of cancer death worldwide and is closely related to dietary habits. Fatty acid is one of the main nutrients of human beings, which is closely related to diabetes, hypertension and other diseases. However, the correlation between fatty acid metabolism and the development and progression of GC remains largely unknown.

View Article and Find Full Text PDF

Background: Canine adipose-derived mesenchymal stem cells (cAD-MSCs) demonstrate promising tissue repair and regeneration capabilities. However, the procurement and preservation of these cells or their secreted factors for therapeutic applications pose a risk of viral contamination, and the consequences for cAD-MSCs remain unexplored. Consequently, this research sought to assess the impact of canid alphaherpesvirus 1 (CHV) on the functional attributes of cAD-MSCs, including gene expression profiles and secretome composition.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!