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Coronavirus Pneumonia Classification Using X-Ray and CT Scan Images With Deep Convolutional Neural Network Models
Pneumonia is a life-threatening infectious disease affecting one or both lungs in humans. There are mainly two types of pneumonia: bacterial and viral. Likewise, patients with coronavirus can develop symptoms that belong to the...
Published by: IGI Global
A Deep Neural Network for Detecting Coronavirus Disease Using Chest X-Ray Images
The novel Covid-19 is one of the leading cause of death worldwide in the year 2020 and declared as a pandemic by world health organization (WHO). This virus affecting all countries across the world and 5 lakh people die as of...
Published by: IGI Global
Advanced Object Detection in Bio-Medical X-Ray Images for Anomaly Detection and Recognition
The human vision system is mimicked in the format of videos and images in the area of computer vision. As humans can process their memories, likewise video and images can be processed and perceptive with the help of computer...
Published by: IGI Global
Impact of Premium and Price Cuts on Consumer Purchase Intention
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...
Published by: IGI Global
Advanced Object Detection in Bio-Medical X-Ray Images for Anomaly Detection and Recognition
The human vision system is mimicked in the format of videos and images in the area of computer vision. As humans can process their memories, likewise video and images can be processed and perceptive with the help of computer...
Published by: IGI Global
Utilization of Transfer Learning Model in Detecting COVID-19 Cases From Chest X-Ray Images
Diagnosis of COVID-19 pneumonia using patients’ chest X-Ray images is new but yet important task in the field of medicine. Researchers from different parts of the globe have developed many deep learning models to classify...
Published by: IGI Global
A Survey of COVID-19 Detection From Chest X-Rays Using Deep Learning Methods
The coronavirus (COVID-19) outbreak has opened an alarming situation for the whole world and has been marked as one of the most severe and acute medical conditions in the last hundred years. Various medical imaging modalities...
Published by: IGI Global
Mathematical Models of Desire, Need, Attention, and Will Effort
Alexander Ovsich
Jan 25, 2017
According to Spinoza, “Love is nothing else but pleasure accompanied by the idea of an external cause”. Author proposes that desire is nothing else but a change of pleasure accompanied by the idea of its cause, that terms...
Published by: IGI Global
Automatic Generation of ROP Through Static Instructions Assignment and Dynamic Memory Analysis
W⊕X is a protection mechanism against control-flow hijacking attacks. Return-oriented programming (ROP) can perform a specific function by searching for appropriate assembly instruction fragments (gadgets) in a code segment and...
Published by: IGI Global
Evolution of Artificial Intelligence in Bone Fracture Detection
The objective of the paper is to present the techniques of Artificial Intelligence based on deep learning that can be applied to detect fractures in bones on X-rays. The paper comprises of discussions of various entities....
Published by: IGI Global
The Spin of a Newborn Black Hole
The origin and distribution of stellar-mass black hole spins are a rare window into the progenitor stars and supernova events that create them. Swift J1728.9-3613 is an X-ray binary, likely associated with the supernova remnant...
A Semi-Auto Text Mining Approach for Literature Review
The emergence of powerful information technologies (IT) has changed innovation and entrepreneurship in significant ways. Research in IT for entrepreneurship is relatively new and there is a growing interest from academics for...
Published by: IGI Global
Relevance Theory and Translation
Linguistic theory and translation theory both deal with language; however, they rarely meet or use each other's results in order to advance their individual areas of research. Linguists often seem to look at translation as...
A FRT - SVD Based Blind Medical Watermarking Technique for Telemedicine Applications
In this article, a blind and robust medical image watermarking technique based on Finite Ridgelet Transform (FRT) and Singular Value Decomposition (SVD) is proposed. A host medical image is first transformed into 16 × 16...
Published by: IGI Global
The Process of Universio and Katobolé in the Creation of the World
Nikolaj Zunic
Apr 05, 2022
The human condition is a highly complex and at the same time impenetrably obscure one, steeped in ignorance and surrounded by mystery. We are involuntarily born into this world and are forced onto a path of having to struggle...
Will Environmental Regulation Narrow the Gap in Regional Economic Growth?
Empirical studies have shown that China's Air Pollution Prevention and Control Law (APPCL2000), as an environmental regulation, has significantly alleviated the air pollution problem and improved the TFP of air polluting...
Published by: IGI Global
A Metaheuristic Approach for Tetrolet-Based Medical Image Compression
Over recent times, medical imaging plays a significant role in clinical practices. Storing and transferring the huge volume of images becomes complicated without an efficient image compression technique. This paper proposes a...
Published by: IGI Global
Quantum structural fluxion in superconducting lanthanum polyhydride.
The discovery of 250-kelvin superconducting lanthanum polyhydride under high pressure marked a significant advance toward the realization of a room-temperature superconductor. X-ray diffraction (XRD) studies reveal a...
Published by: Nature Communications
CHINESE COVERBS AND ARGUMENT STRUCTURE
Catrin Sian Rhys
Jul 30, 2013
This paper provides an analysis of a set of verbs that are licensed either as main verbs or in a more preposition-like use as 'coverbs'. The aim of the paper is to address the lexical representation of these verbs and avoid...
Impact of Mobile Banking Application Interactivity on Consumer Engagement
Amit Shankar
Dec 13, 2021
The study aims to examine the impact of mobile banking (m-banking) application interactivity on consumer engagement. The study also analyses the moderation effects of perceived security concerns, consumer innovativeness, and...
Published by: IGI Global
Using Naturalistic Vehicle-Based Data to Predict Distraction and Environmental Demand
This research utilized vehicle-based measures from a naturalistic driving dataset to detect distraction as indicated by long off-path glances (≥ 2 s) and whether the driver was engaged in a secondary (non-driving) task or not...
Published by: IGI Global
How to Humanize Technology in Smart Cities
Zvi Weinstein
Jul 01, 2020
The article describes a personal point of view on the relationships between technology innovations in smart cities and how they are used for the benefits of the residents. Are they technologically or humanly characterized? Are...
Published by: IGI Global
Knowledge Management in Relationship Among Abusive Management, Self-Efficacy, and Corporate Performance Under Artificial Intelligence
The purpose is to explore the application potential of HCI (Human-Computer Interaction) technology under AI (Artificial Intelligence) in enterprise performance evaluation and the influence of abusive management and self-efficacy...
Published by: IGI Global
Matter and its Topological Operations in Schelling’s Science of Reason
“The darkest of all things” (SW II: 359), “the cliff upon which all false systems founder from the outset” (SW II: 223), “the crisis of consciousness” (SW XIV: 210), “maybe the hardest of all metaphysical concepts” (SW X: 310)...

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