The research development of hedonic price model-based real estate appraisal in the era of big data
In the era of big data, advances in relevant technologies are profoundly impacting the field of
real estate appraisal. Many scholars regard the integration of big data technology as an …
real estate appraisal. Many scholars regard the integration of big data technology as an …
EDL-COVID: Ensemble deep learning for COVID-19 case detection from chest X-ray images
Effective screening of COVID-19 cases has been becoming extremely important to mitigate
and stop the quick spread of the disease during the current period of COVID-19 pandemic …
and stop the quick spread of the disease during the current period of COVID-19 pandemic …
An effective and adaptable K-means algorithm for big data cluster analysis
Tradition K-means clustering algorithm is easy to fall into local optimum, poor clustering
effect on large capacity data and uneven distribution of clustering centroids. To solve these …
effect on large capacity data and uneven distribution of clustering centroids. To solve these …
PulDi-COVID: Chronic obstructive pulmonary (lung) diseases with COVID-19 classification using ensemble deep convolutional neural network from chest X-ray …
YH Bhosale, KS Patnaik - Biomedical Signal Processing and Control, 2023 - Elsevier
Abstract Background and Objective In the current COVID-19 outbreak, efficient testing of
COVID-19 individuals has proven vital to limiting and arresting the disease's accelerated …
COVID-19 individuals has proven vital to limiting and arresting the disease's accelerated …
Economic comparison of satellite, plane and UAV-acquired NDVI images for site-specific nitrogen application: Observations from Italy
Defining the most profitable remote sensing platforms is a difficult decision-making process,
as it requires agronomic and economic considerations. In this paper, the price and …
as it requires agronomic and economic considerations. In this paper, the price and …
Graph-based stock correlation and prediction for high-frequency trading systems
T Yin, C Liu, F Ding, Z Feng, B Yuan, N Zhang - Pattern Recognition, 2022 - Elsevier
In this paper, we have implemented a high-frequency quantitative system that can obtain
stable returns for the Chinese A-share market, which has been running for more than 3 …
stable returns for the Chinese A-share market, which has been running for more than 3 …
Deep forest model for diagnosing COVID-19 from routine blood tests
Abstract The Coronavirus Disease 2019 (COVID-19) global pandemic has threatened the
lives of people worldwide and posed considerable challenges. Early and accurate …
lives of people worldwide and posed considerable challenges. Early and accurate …
HW-Forest: Deep forest with hashing screening and window screening
As a novel deep learning model, gcForest has been widely used in various applications.
However, current multi-grained scanning of gcForest produces many redundant feature …
However, current multi-grained scanning of gcForest produces many redundant feature …
Airbnb price prediction using machine learning and sentiment analysis
P Rezazadeh Kalehbasti, L Nikolenko… - … -Domain Conference for …, 2021 - Springer
Pricing a property and evaluating the proposed price for a property are challenges that,
respectively, owners and customers of Airbnb rentals face on a daily basis. This paper aims …
respectively, owners and customers of Airbnb rentals face on a daily basis. This paper aims …
A highly efficient vehicle taillight detection approach based on deep learning
Vehicle taillight detection is essential to analyze and predict driver intention in collision
avoidance systems. In this article, we propose an end-to-end framework that locates the rear …
avoidance systems. In this article, we propose an end-to-end framework that locates the rear …