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A firm-industry analysis of services versus manufacturing
In the literature on the firm-industry debate to explain organizational performance the firm effect has been more supported than the industry effect by empirical studies, mainly focused on manufacturing firms and long time periods. Unfortunately,…
A first-aid fast track channel for rescuing critically ill children with airway foreign bodies: our clinical experience
Objective: To explore the role of a first-aid fast track channel in rescuing children with airway foreign bodies and
to analyse and summarize the experience and lessons of the first-aid fast track channel in rescuing airway foreign
bodies from…
to analyse and summarize the experience and lessons of the first-aid fast track channel in rescuing airway foreign
bodies from…
A foreign subsidiary's largest shareholder, entry mode, and divestitures: the moderating role of foreign investment inducement policies
This study investigates the relationships among the influence of the largest shareholder, the entry mode of foreign direct investment companies in Korea, and subsidiary divestitures to demonstrate how the government’s FDI policies can work as a…
A Framework for Verification in Contactless Secure Physical Access Control and Authentication Systems
Biometrics is one of the very popular techniques in user identification for accessing institutions and logging into attendance systems. Currently, some of the existing biometric techniques such as the use of fingerprints are unpopular due to COVID-19…
A Gaussian Naive Bayes and SMOTE-Based Approach for Predicting
Breast Cancer Aggressiveness in Imbalanced Datasets
Breast cancer remains one of the leading causes of death among women worldwide, making early and accurate detection essential to improving
patient outcomes. This study aims to develop a predictive model for breast cancer aggressiveness using the…
patient outcomes. This study aims to develop a predictive model for breast cancer aggressiveness using the…
A good result of brain tumor classification based on simple convolutional neural network architecture
Brain tumor disease has become a topic of research whether it is in the case of segmentation or classification. For the case of classification, the types of brain tumors that are grouped generally consist of high-grade glioma (HGG) and low-grade…
A Helical Model for Color Harmony
Among the many approaches to the study of color harmony tried so far, a relatively recent method is to leverage the large number of human-created and ranked color palettes, such as those hosted at colourlovers.com. Analysis of these large datasets…
A high accuracy of deep learning based CNN architecture: classic, VGGNet, and RestNet50 for Covid-19 image classification
This research paper provides a detailed examination of different convolutional neural network (CNN) structures used in Covid-19 image classification tasks. The study thoroughly investigates the performance of classic CNN, visual geometry group (VGG),…
A High-Performance Data Accessing and Processing System for Campus
Real-time Power Usage
With the flourishing of Internet of Things (IoT) technology, ubiquitous power data can be linked to the Internet and be analyzed for real-time
monitoring requirements. Numerous power data would be accumulated to even Tera-byte level as the time…
monitoring requirements. Numerous power data would be accumulated to even Tera-byte level as the time…
A highly effective and simplified DPWM algorithm for NPC inverters for high power factor load applications
In recent years, high-power three-level neutral point clamped (NPC) inverters have significantly increased, particularly in the renewable energy sector and industries. These inverters are crucial in applications such as offshore wind farms and…