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Results: 15
Semantic Pattern Detection in COVID-19 Using Contextual Clustering and Intelligent Topic Modeling
The Covid-19 pandemic is the deadliest outbreak in our living memory. So, it is need of hour, to prepare the world with strategies to prevent and control the impact of the epidemics. In this paper, a novel semantic pattern...
Published by: IGI Global
Attitude Towards the Usage of Internet-Based Applications in Management Education
Internet based applications are as a tool progressively used to encourage learning and relationship management in management education. This examination analyzed the attitude of students and educators towards utilizing internet...
Published by: IGI Global
Software Effort Estimation Development From Neural Networks to Deep Learning Approaches
Software Engineering is a branch of computers that includes the development of structured software applications. Estimation is a significant measure of software engineering projects, and the skill to yield correct effort...
Published by: IGI Global
Models for Efficient Utilization of Resources for Upgrading Android Mobile Technology
The need of the customers to be connected to the network at all times has led to the evolution of mobile technology. Operating systems play a vitol role when we talk of technology. Nowadays, Android is one of the popularly used...
Published by: IGI Global
Green Consumption
Economic growth unambiguously leads to environmental degradation. Several environmental problems such as greenhouse warming, soil degradation, loss of biodiversity, deforestation, air and water pollution etc. are becoming a...
Published by: Singh Publication
Modified Transformer Architecture to Explain Black Box Models in Narrative Form
The current XAI techniques present explanations mainly as visuals and structured data. However, these explanations are difficult to interpret for a non-expert user. Here, the use of natural language generation (NLG)-based...
Published by: IGI Global
A Novel Approach for Detection of Optic Disc and Lesion Location for Screening Diabetic Retinopathy
Diabetic Retinopathy is not typically perceivable in diabetic patients at the initial stage. Their first signs, like micro-aneurysms, often go unnoticed in preliminary testing by specialists. Additionally, its presence is...
Published by: IGI Global
Design and Implementation of RS(450, 406) Decoder
Nowadays, in the field of data transmission between receiver and transmitter, the Reed Solomon code is used very frequently. FEC codes have two foremost and influential operations: (1) calculating parity symbols at the encoder...
Published by: IGI Global
Intelligent Framework With Controlled Behavior for Gene Regulatory Network Reconstruction
Gene Regulatory Networks (GRNs) are the pioneering methodology for finding new gene interactions getting insights of the biological processes using time series gene expression data. It remains a challenge to study the temporal...
Published by: IGI Global
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...
Published by: IGI Global
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...
Published by: IGI Global
Towards Detecting Dementia via Deep Learning
Dementia is a brain disorder that causes loss of memory leading to disruption in the normal course of life of an individual. It is emerging as a global health problem in adults with age 65 years or above. Early diagnosis of...
Published by: IGI Global
An Improved Supervised Classification Algorithm in Healthcare Diagnostics for Predicting Opioid Habit Disorder
Opioid Habit Disorder (OHD), which has become a mass health epidemic, is defined as the psychological or physical dependency on opioids. This study demonstrates how supervised machine learning procedures help us investigate and...
Published by: IGI Global
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...
Published by: IGI Global
Fuzzy Modelling of Clinical and Epidemiological Factors for COVID-19
During this pandemic outbreak of COVID-19, the whole world is getting severely affected in respect of population health and economy. This novel virus has brought the whole world including the most developed countries to a...
Published by: IGI Global