Development of an intelligent system automating managerial decision-making using big data

K Akishev, A Tulegulov, A Kalkenov, K Aryngazin… - 2023 - dspace.enu.kz
The object of the study is the automotive industry of the Republic of Kazakhstan. The subject
of the study is the management of the decision-making process in assessing the consumer …

Prediction of Used Car Prices Using K-Nearest Neighbour, Random Forest, and Adaptive Boosting Algorithm

TL Nikmah, RM Syafei, R Muzayanah… - Int. Conf. Optim …, 2022 - e-journal.ptti.info
In the midst of busy society and high lifestyle, there are now many car offerings with
advanced features. The more sophisticated a car is, the price increases. This makes people …

Object Detection on Real-Time Video with FPN and Modified Mask RCNN Based on Inception-ResNetV2

A Yadav, E Kumar - Wireless Personal Communications, 2024 - Springer
Instance segmentation of Real-time video is a crucial step in the object identification and
classification process. Object detection is the task of finding different types of information …

Machine learning modeling for reconditioned car selling price prediction

F Abdullah, MA Rahman, M Shidujaman… - Seventh …, 2023 - spiedigitallibrary.org
Almost 80% of the vehicles required for Bangladesh's road transportation industry are
supplied by reconditioned cars. Using Machine Learning (ML) to predict car prices refers to …

Optimizing sales strategy in the Indian automobile industry: Predicting future car prices using machine learning and demographic data

M Khan, GMN Islam, PK Ng, AA Zainuddin… - AIP Conference …, 2024 - pubs.aip.org
Demographics play a vital role in defining the size, distribution, and structure of a population.
In the context of the automobile industry, business owners can leverage demographic …

Predicción de precios de autos usados

YC Mauri, FPC Cayo, JPV Jara… - Innovación y …, 2023 - revistas.ulasalle.edu.pe
En varias ocasiones cuando se vende un automovil de segunda mano no se sabe el precio
exacto por varios factores, con lo cual puede ser vendido a menos o más valor del que en …

머신러닝을 활용한 중고 자동차의 가격 예측 모델에 관한 연구: 국내 브랜드를 중심으로

임승준, 이정호, 류춘호 - 한국경영과학회지, 2023 - dbpia.co.kr
The domestic used car market continues to grow along with the used car online platform.
The used car online platform discloses vehicle specifications, accident history, inspection …

Instance segmentation for real-time video detection using FPN and Mask R-CNN

A Yadav, E Kumar - 2022 - researchsquare.com
Instance segmentation of objects is a significant stage in real-time video detection. Object
detection is the task of detecting the information of all types of objects in an image by …

Integrated Linear Regression and Random Forest Framework for E-Commerce Price Prediction of Pre-owned Vehicle

AK Mishra, S Mallik, V Sharma, S Paliwal… - … Conference on Trends in …, 2022 - Springer
The E-Commerce industry has taken the world in its stride. It has been growing at an
exponential rate. This paper presents a machine learning-based model to predict the price …

[PDF][PDF] A Comparative Analysis of XGBoost Model and AdaBoost Regressor for Prediction of Used Car Price

SNK Reddy, SM Kumar - SPAST Reports, 2024 - scitepress.org
This study primarily aimed to estimate used car prices using the XGBoost Regressor to
enhance accuracy in relation to vehicle data and benchmark this against the AdaBoost …