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Significance of Non-Academic Parameters for Predicting Student Performance Using Ensemble Learning Techniques
The academic institutions are focusing more on improving the performance of students using various data mining techniques. Prediction models are designed to predict the performance of students at a very early stage so that...
Published by: IGI Global Scientific Publishing
Vocal Folds Analysis for Detection and Classification of Voice Disorder
The detection and description of pathological voice are the most important applications of voice profiling. Currently, techniques like laryngostroboscopy or surgical microlarynoscopy are popularly used for the diagnosis of voice...
Published by: IGI Global Scientific Publishing
Deep Learning Approach for Voice Pathology Detection and Classification
A non-invasive cum robust voice pathology detection and classification architecture is proposed in the current manuscript. In place of the conventional feature-based machine learning techniques, a new architecture is proposed...
Published by: IGI Global Scientific Publishing
Classification of Parkinson Disease Based on Analysis and Synthesis of Voice Signal
The most important application of voice profiling is pathological voice detection. Parkinson's disease is a chronic neurological degenerative disease affecting the central nervous system responsible for essentially progressive...
Published by: IGI Global Scientific Publishing
Examining the Beliefs, Attitudes, and Behavioural Responses of Indian Millennials Towards Social Media Advertisements
Taanika Arora
Jan 01, 2023
The purpose of the study is to examine the relationships of Indian social media users among their beliefs, attitudes, and behavioural responses towards social media advertisements. Hence, a conceptual framework based on Pollay...
Published by: IGI Global Scientific Publishing
A RNN-LSTM-Based Predictive Modelling Framework for Stock Market Prediction Using Technical Indicators
The successful prediction of the stocks’ future price would produce substantial profit to the investor. In this paper, we propose a framework with the help of various technical indicators of the stock market to predict the...
Published by: IGI Global Scientific Publishing
Measuring CRM Effectiveness in Indian Stock Broking Services
The article tried to develop a multi-item scale for analyzing CRM effectiveness (CRME) from the customer perspective in the Indian stock broking context. The results revealed that customer satisfaction could be improved through...
Published by: IGI Global Scientific Publishing
Impact of Inflation and Credit Financing Policy on the Supply Chain With Learning
Technology drives many fields to improve the quality of items during the supply of the products. Despite proficient planning in the industrial system and the presence of sophisticated techniques, there may be some defective...
Published by: IGI Global Scientific Publishing
Political identity and financial risk taking
This article investigates how people’s political identity is associated with their financial risk taking. The authors argue that conservatives’ financial risk taking increases as their self-efficacy increases because of their...
Impact of Social Media Marketing Activities on Purchase Intentions via Customer Equity Drivers
In the light of growing interest and usage of social networking sites, smartphones, and internet availability, this study aims to analyze the impact of social media marketing activities on the purchase intentions of the customer...
Published by: IGI Global Scientific Publishing
Detection of Suspicious or Un-Trusted Users in Crypto-Currency Financial Trading Applications
In this age, where cryptocurrencies are slowly creeping into the banking services and making a name for them, it is becoming crucially essential to figure out the security concerns when users make transactions. This paper...
Published by: IGI Global Scientific Publishing
Political identity and financial risk taking
This article investigates how people’s political identity is associated with their financial risk taking. The authors argue that conservatives’ financial risk taking increases as their self-efficacy increases because of their...
Diagnostic host gene signature for distinguishing enteric fever from other febrile diseases.
Christoph J Blohmke, Julius Muller, Malick M Gibani, Hazel Dobinson, Sonu Shrestha, Soumya Perinparajah, Celina Jin, Harri Hughes, Luke Blackwell, Sabina Dongol, Abhilasha Karkey, Fernanda Schreiber, Derek Pickard, Buddha Basnyat, Gordon Dougan, Stephen Baker, Andrew J Pollard, Thomas C Darton
Oct 31, 2019
Misdiagnosis of enteric fever is a major global health problem, resulting in patient mismanagement, antimicrobial misuse and inaccurate disease burden estimates. Applying a machine learning algorithm to host gene expression...
Impact of Credit Financing on the Ordering Policy for Imperfect Quality Items With Learning and Shortages
The paper develops an order quantity model with trade credit plus shortages under learning effects for deteriorating imperfect quality products. Generally, when the lot has imperfect items, the inspection of a lot is necessary...
Published by: IGI Global Scientific Publishing
Opportunities and challenges of implementing computed tomography fractional flow reserve into clinical practice.
Muhummad Sohaib Nazir, Tarun K Mittal, Jonathan Weir-McCall, Koen Nieman, Keith Channon, Edward D Nicol
Sep 28, 2020
CT-derived fractional flow reserve (CT-FFR) uses computational fluid dynamics to derive non-invasive FFR to determine the haemodynamic significance of coronary artery lesions. Studies have demonstrated good diagnostic accuracy...
advanced cardiac imaging cardiac computer tomographic (CT) imaging chronic coronary disease Coronary Artery Disease Clinical Decision-Making Computed Tomography Angiography Coronary Angiography Coronary Artery Disease Coronary Vessels Fractional Flow Reserve Myocardial Humans hydrodynamics Models Cardiovascular Predictive Value of Tests Prognosis Radiographic Image Interpretation Computer-Assisted Reproducibility of Results Severity of Illness Index
Optimal Strategy for Supplier Selection in a Global Supply Chain Using Machine Learning Technique
This paper proposes an optimization strategy for the best selection process of suppliers. Based on recent literature reviews, the paper assumes a selection of commonly used variables for selecting suppliers and using logistic...
Published by: IGI Global Scientific Publishing
Information Management Challenges in Autonomous Vehicles
The focus of automobile industry is towards producing efficient driverless cars that are risk free and with zero tolerance to safety violations thereby following in the footsteps of autonomous robots. In this study, the author...
Published by: IGI Global Scientific Publishing
A Re-evaluation of Discarded Deceased Donor Kidneys in the UK
Shruti Mittal, Anna Adamusiak, Catherine Horsfield, Ioannis Loukopoulos, Nikolaos Karydis, Nicos Kessaris, Martin Drage, Jonathon Olsburgh, Christopher JE Watson, Chris J Callaghan
Nov 28, 2017
BACKGROUND: A significant proportion of procured deceased donor kidneys are subsequently discarded. The UK Kidney Fast-Track Scheme (KFTS) was introduced in 2012, enabling kidneys at risk of discard to be simultaneously offered...
Adult Aged Aged 80 and over Cause of Death Decision Support Techniques Donor Selection Female Graft Survival Humans Kidney Transplantation Male Middle Aged Postoperative Complications Predictive Value of Tests Program Evaluation Risk Assessment Risk Factors Time Factors Tissue Donors Tissue and Organ Procurement Treatment Outcome United Kingdom
Tuning the drug efflux activity of an ABC transporter in vivo by in vitro selected DARPin binders.
Markus A Seeger, Anshumali Mittal, Saroj Velamakanni, Michael Hohl, Stefan Schauer, Ihsene Salaa, Markus G Grütter, Hendrik W van Veen
Oct 05, 2020
ABC transporters use the energy from binding and hydrolysis of ATP to import or extrude substrates across the membrane. Using ribosome display, we raised designed ankyrin repeat proteins (DARPins) against detergent solubilized...
ATP-Binding Cassette Transporters Adenosine Triphosphatases Ankyrin Repeat Biological Transport Biophysical Phenomena Cell Membrane Daunorubicin detergents Enzyme-Linked Immunosorbent Assay Epitope Mapping Epitopes Lactococcus lactis Pharmaceutical Preparations Protein Binding Proteolipids Recombinant Proteins Ribosomes Solubility Surface Plasmon Resonance
Non-ionic small amphiphile based nanostructures for biomedical applications.
Badri Parshad, Suchita Prasad, Sumati Bhatia, Ayushi Mittal, Yuanwei Pan, Prashant Kumar Mishra, Sunil K Sharma, Ljiljana Fruk
Jun 07, 2022
Self-assembly of non-ionic amphiphilic architectures into nanostructures with defined size, shape and morphology has garnered substantial momentum in the recent years due to their extensive applications in biomedicine. The...
Using ECG Authentication for Biometrics in Smart Cities
All the biometric systems are based on some important features of these modalities which are mainly known for their uniqueness in one way or the other. However, the automatic attendance system using heart biometrics is focused...
Systems & Software Design Computer Science and Information Technology Systems and Software Engineering
Published by: IGI Global Scientific Publishing
Machine Learning-Based Electricity Load Forecast for the Agriculture Sector
A large section of the population has a source of income from the agriculture sector, but their share in the Indian GDP is low. Thus, there is a need to forecast energy to improve and increase productivity. The main sources of...
Systems & Software Design Computer Science and Information Technology Systems and Software Engineering
Published by: IGI Global Scientific Publishing
An Imperfect Inventory Model for Multi-Warehouses Under Different Discount Policies With Shortages
A multi-warehouse inventory model with shortage has been developed where demand is taken as deterministic. In reality, during production, if the machine works for a long time, there may be a random breakdown, and the system...
Published by: IGI Global Scientific Publishing
AI Ethics
Artificial intelligence (AI) ethics has emerged as a burgeoning yet pivotal area of scholarly research. This study conducts a comprehensive bibliometric analysis of the AI ethics literature over the past two decades. The...
Published by: IGI Global Scientific Publishing
Characterization of iron oxide waste scales obtained by rolling mill steel industry
Abstract Every year, the steelmaking industry produces millions of tons of slags resulting in pollution to the environment. Among the waste, secondary metals and scales rich in iron oxides are...
J Kargin, LDLS Valladares, LE Borja-Castro, J Xize, DG Mukhambetov, YV Konyukhov, NO Moreno, AGB Dominguez, CHW Barnes
Mar 01, 2022
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