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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...
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
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
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...
Development of a Model for Review Sharing in the Context of Mobile Phone Purchase Amongst Indian Millennials
Online reviews provided important information towards affecting consumers' online shopping behavior. However, little research had been done in India how reviews influence young consumers' online buying behavior and review...
Impact of Technology and Governance on Consumer Behaviour
This comprehensive systematic analysis examines the complicated interplay between technology, governance, and consumer behavior. Technological advancement and shifting governance systems affect consumer behavior; therefore...
Do Consumption-Based Asset Pricing Models Explain Serial Dependence in Stock Returns?
We show that the Bansal-Yaron, Campbell-Cochrane and Cecchetti-Lam-Mark models of asset prices cannot explain the serial correlation structure of stock returns. We show this by estimating these models and deriving expected...
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A Road-Based 3D Navigation System in GIS
Vijay Bansal
Jan 01, 2023
A user-controlled navigation system is one of the important aspects of human-computer interaction. Finding best path from one location to another and navigating through that path has been a great concern in the geo-virtual...
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...
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...
Emotion Detection via Voice and Speech Recognition
Emotion detection from voice signals is needed for human-computer interaction (HCI), which is a difficult challenge. In the literature on speech emotion recognition, various well known speech analysis and classification methods...
Evaluation of Barriers in the Adoption of E-Commerce Technology in SMEs
The main purpose of this study is to examine barriers towards e-commerce platforms in developing countries using specific analytic techniques. The present empirical analysis has its main objectives of detailed study of barriers...
Development of Enhanced Chimp Optimization Algorithm (OFCOA) in Cognitive Radio Networks for Energy Management and Resource Allocation
Transmit time and power optimisation increase secondary network energy efficiency (EE). The optimum resource allocation strategy in cognitive radio networks is the enhanced chimp optimisation algorithm (OFCOA) since the EE...
A reverse-engineering approach to dissect post-translational modulators of transcription factor's activity from transcriptional data.
BACKGROUND: Transcription factors (TFs) act downstream of the major signalling pathways functioning as master regulators of cell fate. Their activity is tightly regulated at the transcriptional, post-transcriptional and...
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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...
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...
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...
Port-to-Port Expedition Security Monitoring System Based on a Geographic Information System
Transportation companies operating both domestically and internationally are starting to worry about the safety of cargo freight. Utilizing a GIS-based port-to-port expedition safety monitoring system based on global information...
Sustainable Smart Aquaponics Farming Using IoT and Data Analytics
Traditional agriculture is facing numerous serious issues such as climate variation, population rise, water scarcity, soil degradation, and food security and many more. Though, Aquaponics is a promising solution, research on...
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...
Prevalence of Depression and Depressive Symptoms Among Resident Physicians
IMPORTANCE: Physicians in training are at high risk for depression. However, the estimated prevalence of this disorder varies substantially between studies. OBJECTIVE: To provide a summary estimate of depression or depressive...
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Unexplored nutritive potential of tomato to combat global malnutrition
Tomato, a widely consumed vegetable crop, offers a real potential to combat human nutritional deficiencies. Tomatoes are rich in micronutrients and other bioactive compounds (including vitamins, carotenoids, and minerals) that...
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