Cancer is presently one of the prominent causes of death in the world. Early cancer detection, which can improve the prognosis and survival of cancer patients, is challenging for radiologists. Low-dose computed tomography, a...
The medical imaging technique showed remarkable improvement in interventional treatment of computer-aided medical diagnosis system. Image processing techniques are broadly applied in detection and exploring the abnormalities...
Cancer is presently one of the prominent causes of death in the world. Early cancer detection, which can improve the prognosis and survival of cancer patients, is challenging for radiologists. Low-dose computed tomography, a...
This paper presents a study about screening large radiological image streams produced in hospitals for earlier detection of lung nodules. Being one of the most difficult classification tasks in the literature, our objective is...
Early detection of all types of lung nodules with different characters in medical modality images using computer-aided detection is the best acceptable remedy to save the lives of lung cancer sufferers. But accuracy of different...
With the diffusion of cloud computing, public and private enterprise resource planning (ERP) have received increasing attention. However, several prior studies have investigated the factors that affect cloud system adoption for...
Lung cancer survival rate is very limited post-surgery irrespective it is “small cell and non-small cell”. Lot of work have been carried out by employing machine learning in life expectancy prediction post thoracic surgery for...
This research aims to elucidate the service quality factors influencing customer satisfaction with ride-sharing services. Particularly, this research compares Chinese and US consumers to identify the influence of national...
Healthcare analytics provide many benefits in healthcare dashboard systems. Healthcare datasets majorly contains categorical attributes. This paper proposed an optimized clustering for healthcare dataset named harmony search...
A novel method for integrating multi-omics data, including gene expression, copy number variation, DNA methylation, and miRNA data, is proposed to identify biomarkers of cancer prognosis. First, survival analysis was performed...
The purpose is to illustrate how artificial intelligence (AI) technologies have been used for detection and analysis of COVID-19 and other infectious diseases such as breast, lung, and skin cancers; heart disease; and others....
This study aims to integrate perceived risk into elaboration likelihood model, develop a comprehensive research model to explain dual routes of persuasive communication through various factors affecting individual acceptance and...
The Online to offline (O2O) model has been used as an important strategy for marketers to rethink their Omni-Channel marketing recently. Perceived factors have been studied to investigate the factors that really influence...
Asia is the largest and most populous continent of Earth with an overall population of 446.27 crores. Housing this population drives various challenges in different aspects, in which providing healthy and nutritious food to each...
Intelligent predictive systems are showing a greater level of accuracy and effectiveness in early detection of critical diseases like cancer and liver and lung disease.Predictive models assist medical practitioners in...
Quantity commitment chosen by firms in competition has been demonstrated by previous studies to mitigate price competition. This study demonstrates that asymmetric quantity commitment can always arise when one firm (e-tailer)...
Promotion tournaments theory and regional economic competition can be used to explain China's overcapacity. This study used the non-radial distance function to evaluate the overcapacity considering resource and environmental...
With the development of internet of things (IoT) technology, servitization of IoT device functions has become a trend. The cooperation between IoT devices can be equivalent to web service composition. However, current service...
In recent years, wearable and mobile technologies have been applied in different domains such as medical, personal safety, sports, and lifestyle computing (Cheng & Mitomo, 2017). Wearable technologies may help users bring their...
INTRODUCTION: There is a critical need to understand the optimal treatment regimen in patients with potentially resectable stage III-N2 nonsmall cell lung cancer (NSCLC). METHODS: A systematic review of randomised controlled...
The rapid development of cross-border e-commerce over the past decade has accelerated the integration of the global economy. At the same time, cross-border e-commerce has increased the prevalence of cybercrime, and the future...
Coal has always been an important foundation for China’s economy. The booming and declining of the coal industry can directly impact the regional economy. This study researches the impact of the rise and fall of the coal...
A new reversible watermarking algorithm on stereo audio signals is proposed in this article. By utilizing correlations between two channels of audio signal, the authors segment one channel based on another one according to the...
This study aims to compare the price cut and premium promotion with study moderators are discount depth size, product type, premium characteristics, and country effect (Indonesia and Taiwan). The experiment was designed as...
Predicting stock indexes is a common concern in the financial world. This work uses neural network, support vector machine (SVM), mixed data sampling (MIDAS), and other methods in data mining technology to predict the daily...