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State of Digital Economy in Asia-Pacific Region
The paper seeks to examine the cross-country variation in the state of digital economy in Asia-Pacific region. In addition, this paper also identifies the role played by the digital skill in fostering the development of the...
On the Reduction of Computational Complexity of Deep Convolutional Neural Networks.
Partha Maji, Robert Mullins
Jul 17, 2018
Deep convolutional neural networks (ConvNets), which are at the heart of many new emerging applications, achieve remarkable performance in audio and visual recognition tasks. Unfortunately, achieving accuracy often implies...
The Fall and Rise of Racial Inequality in London Homicides
Abstract Research Question How have London’s racial and demographic disparities in homicide victimisation rates changed in 2...
Evaluation of Wall Inclination Effect on the Dynamic Response of Mechanically Stabilized Earth Walls Using Shaking Table Tests
Shaking table tests were conducted in this study to determine the effect of facing wall inclinations, and the density of the backfill. Reduced-scale models reinforced with two layers of geogrid and fine sand as backfill were...
Light-triggered syneresis of a water insoluble peptide-hydrogel effectively removes small molecule waste contaminants.
A short peptide based hydrogel exhibits aqueous insolubility, thixotropy and efficient light induced syneresis. Upon irradiation with UV light, the hydrogel shrinks and expells ∼50% of the solvent. Syneresis is caused by...
SDN-Based Traffic Monitoring in Data Center Network Using Floodlight Controller
Data center networks are the backbone of IT infrastructure and cloud services. According to traffic pattern research, a small group of flows transport the vast majority of the bytes and are referred to as elephant flows. Proper...
SafeWomen
The security of women is of prime concern around the world. Women feel insecure while traveling out of the home due to the fear of violence. The fear of violence restricts women's participating in different social activities. So...
Equal Protection by Race with Stop and Frisk
Abstract: Research Question: Can racial equity in crime and policing be measured with the use of a Risk-Adjusted Disparity (RAD) Index of the degree to which policing across racial categories is “balanced” in its ratios of...
Predictive Modeling of Stress in the Healthcare Industry During COVID-19
There was a substantial medicine shortage and an increase in morbidity due to the second wave of the COVID-19 pandemic in India. This pandemic has also had a drastic impact on healthcare professionals' psychological health as...
Empirical Parameter to Compare Molecule-Electrode Interfaces in Large-Area Molecular Junctions.
This paper describes a simple model for comparing the degree of electronic coupling between molecules and electrodes across different large-area molecular junctions. The resulting coupling parameter can be obtained directly from...
FAST Policing by Telephone
Abstract Research Question Can caller satisfaction and trust in police be improved (or equalled), after police agree to send a...
Artificial Intelligent Embedded Doctor (AIEDr.)
This article focuses on the development of a diagnostic model for low back pain management, a mathematical model describing the cause of the disease and an inclusive hardware implementation with artificial intelligence (AI). It...
Improving Big Data Analytics With Interactive Augmented Reality
Since, data is generated every minute by everyone including consumers and/or business worldwide, there is an enormous worth for big data analytics. Big data analytics is a technique for extracting important information from...
Lung Tumor Segmentation Using Marker-Controlled Watershed and Support Vector Machine
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...
A Systematic Review on Determinants Inciting Sustainable E-Medical Tourism
Medical tourism attracts medical vacationers by promoting its uniform vacation ease, healthcare know-how, proficiency, and comprehensible amenities. With the upsurge in COVID-19 cases and no therapeutic treatment...
A Novel Approach to Organize Blood Donation Camp and Blood Unit Wastage Management
In the countries or areas where the supply-demand ratio of blood is not maintained, the medication process is being deteriorated, and this may be as fatal as death of the patients. It is being observed in different areas in...
SafeWomen
The security of women is of prime concern around the world. Women feel insecure while traveling out of the home due to the fear of violence. The fear of violence restricts women's participating in different social activities. So...
Brain Tumor Detection Based on Multilevel 2D Histogram Image Segmentation Using DEWO Optimization Algorithm
Brain tumor detection from magnetic resonance (MR)images is a tedious task but vital for early prediction of the disease which until now is solely based on the experience of medical practitioners. Multilevel image segmentation...
Using Transfer Learning and Hierarchical Classifier to Diagnose Melanoma From Dermoscopic Images
The deadliest form of skin cancer is melanoma, and if detected in time, it is curable. Detection of melanoma using biopsy is a painful and time-consuming task. Alternate means are being used by medical experts to diagnose...
Active pulmonary tuberculosis
Tuberculosis remains a major global health issue affecting all countries and age groups. Radiology plays a crucial role in the diagnosis and management of pulmonary tuberculosis (PTB). This review aims to improve understanding...
Active pulmonary tuberculosis
Tuberculosis remains a major global health issue affecting all countries and age groups. Radiology plays a crucial role in the diagnosis and management of pulmonary tuberculosis (PTB). This review aims to improve understanding...
Brain Tumor Detection Based on Multilevel 2D Histogram Image Segmentation Using DEWO Optimization Algorithm
Brain tumor detection from magnetic resonance (MR)images is a tedious task but vital for early prediction of the disease which until now is solely based on the experience of medical practitioners. Multilevel image segmentation...

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