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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
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
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...
Exploring Learner Perception, Experience and Motivation of Using a Mobile App in L2 Vocabulary Acquisition
Lucas Kohnke
Jan 01, 2020
In recent years, the widespread growth of mobile-assisted language learning using apps has made English vocabulary learning increasingly accessible. This study investigated students' perceptions of a vocabulary learning app...
Published by: IGI Global
Agricultural Supply Chain Risk Management Under Price and Demand Uncertainty
Pritee Ray
Apr 01, 2021
Agricultural supply chain (ASC) plays a vital role for sustainability as it is the main source of food supply. ASC encounters more sources of risk due to seasonality, perishability, and weather conditions, which makes the global...
Published by: IGI Global
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
Do housing rental and sales markets incentivise energy-efficient retrofitting of western Germany's post-war apartments? Challenges for property owners, tenants, and policymakers.
Ray Galvin
Apr 17, 2023
A post-World War 2 building boom in western Germany (the original Bundesrepublik) produced a cohort of some 8 million apartments, built in 1946-1979, that are relatively homogeneous in design and materials. On average...
Published by: Energy efficiency
Being a Singer
Brian A. Roberts
Nov 19, 2013
Singers both rejoice and suffer under the weight of their instrument. It becomes not only a major part of their identity but, in many cases, it becomes their central or "master status" (Hughes, 1945). This research examines the...
Published by: Faculty of Education
A Model of Cloud Forensic Application With Assurance of Cloud Log
The key concepts of digital forensic investigation in cloud computing are examination and investigation. Cybercriminals target cloud-based web applications due to presence of vulnerabilities. Forensic investigation is a complex...
Published by: IGI Global
Model-Based Test Sequence Generation and Prioritization Using Ant Colony Optimization
The paper presents an approach to generate and optimize test sequences from the input UML activity diagram. For this, an algorithm is proposed called Unified Modelling Language for Test Sequence Generation (UMLTSG) that uses a...
Published by: IGI Global
“They Care, We Share”
The strategic importance of knowledge especially under dynamic business conditions makes it imperative to primarily understand the creation of the knowledge base. This paper employs mixed-method approach to understand the...
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
Predicting Seminal Quality and its Dependence on Life Style Factors Through Ensemble Learning
Ratula Ray, Satya Dash
Apr 01, 2020
The awareness related to fertility is of great importance due to the change in lifestyle habits. Semen analysis is a reliable confirmatory test to check the fertility in men. The supervised machine learning models of base...
Published by: IGI Global
A Novel Framework Using Zero Shot Learning Technique for a Non-Factoid Question Answering System
Non-Factoid Question Answering (QA) is the next generation of textual QA systems, which gives passage level summaries for a natural language query, posted by the user. The main issue lies in the appropriateness of the generated...
Published by: IGI Global
Forest Optimization-Based Test Case Generation for Multiple Paths With Metamorphic Relations
In general multiple paths are covered by multiple runs which is a time consuming task. Now a days, metaheuristic techniques are widely used for path coverage. In order to reduce the time, an efficient method is proposed based on...
Published by: IGI Global
Sentiment Analysis on Movie Reviews Dataset Using Support Vector Machines and Ensemble Learning
The internet makes it easier for people to connect to each other and has become a platform to express ideas and share information with the world. The growth of the internet has indirectly led to the development of social...
Published by: IGI Global
Practical in Organizational and Management Research
While there are different approaches to organizational and management research, although a naturally researcher is drawn to a specific type of modern research environments require flexibility. The nature of the study setting...
Published by: Singh Publication
Fully Automatic Detection and Segmentation Approach for Juxta-Pleural Nodules From CT Images
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...
Published by: IGI Global
Optimal Weighted Logarithmic Transformation Converted HMOG Features for Automatic Smart Phone Authentication
Vinod P. R., Anitha A.
Jan 01, 2022
This paper intends to develop an automatic behavior-based smart phone authentication model by three major phases: feature extraction, weighted logarithmic transformation, and classification. Initially, from the data related to...
Published by: IGI Global
Improving Auto-Detection of Phishing Websites using Fresh-Phish Framework
Denizens of the Internet are under a barrage of phishing attacks of increasing frequency and sophistication. Emails accompanied by authentic looking websites are ensnaring users who, unwittingly, hand over their credentials...
Published by: IGI Global

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