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A Novel Hybrid Approach for Chronic Disease Classification
A two-phase diagnostic framework based on hybrid classification for the diagnosis of chronic disease is proposed. In the first phase, feature selection via ReliefF method and feature extraction via PCA method are incorporated....
Decentralized Identity Management Using Blockchain
This article explores the usage of decentralised identity (DID) management using blockchain in global organisations to support secure usage of information resources. Blockchain as technology was initially introduced as a...
Building the Metaverse
Virtual worlds are progressing toward a holistic abstraction of the metaverse. While there is abundant literature and synthesis on virtual worlds and related constructs, the linkages between above scholarly work and the...
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...
Detecting Fake News Over Job Posts via Bi-Directional Long Short-Term Memory (BIDLSTM)
Fake news detection on job advertisements has grabbed the attention of many researchers over past decade. Various classifiers such as Support Vector Machine (SVM), XGBoost Classifier and Random Forest (RF) methods are greatly...
BUSINESS PERSPECTIVE E-BANKING SYSTEMS IN INDIA
DIVYA NALLURI
Jan 01, 0001
The paper seeks to explore how internet or e-banking has improvised the efficiency and adequacy in the banking sector within a very short span of time, Research Design/Process in Financial Organization, Methods of Data...
Blockchain Adoption for Provenance and Traceability in the Retail Food Supply Chain
Blockchain has evolved as one of the disruptive technologies in the landscape of business. The study aims to investigate drivers of consumer adoption of blockchain for product origin and track to trace history before making a...
Effect of surface treatment and built form on thermal profile of open spaces
The thermal environment in Recreational Open Spaces (ROS) is primarily a result of the surrounding built form which includes buildings, trees, and surface treatment materials. To study the impact of land surface treatment choice...
Simulated Workbench Design for Characterisation and Selection of Appropriate Outlier Ensemble Algorithm
Outlier ensembles can enhance the performance of outlier detection algorithms. However, identification of an appropriate outlier ensemble algorithm for the given application is a difficult task. In order to achieve this...
Heard but not seen
We used capture (mist-netting) and acoustic methods to compare the species richness, abundance, and composition of a bat assemblage in different habitats in the Western Ghats of India. In the tropics, catching bats has been more...
Humor Detection
Manan Jain
Jan 01, 0001
Humor is a very complex characteristic concept that defines us as human beings and social entities. Humor is an essential component in personal communication. How to create a method or model to discover the structures behind...
An Improved and Adaptive Approach in ANFIS to Predict Knee Diseases
Artificial intelligence is emerging as a persuasive tool in the field of medical science. This research work also primarily focuses on the development of a tool to automate the diagnosis of inflammatory diseases of the knee...
Innovation and entrepreneurship in India
J Prabhu, S Jain
Jan 15, 2016
In this paper, we use the term jugaad to describe the frugal, flexible, and inclusive approach to innovation and entrepreneurship emerging from India. We articulate why this method is appropriate within the Indian context and...
ET-traps offer a potential therapeutic tool for use in different autoimmune diseases.
Research shows that endothelin (ET)-traps are a potential therapy for diabetes. Given that type 1 diabetes mellitus (T1DM) is an autoimmune disorder, ET-traps could also have an efficacious, therapeutic effect on other...
Knowledge Extraction in Digit Recognition Using MNIST Dataset
In handwriting recognition, traditional systems have relied heavily on handcrafted features and a massive amount of prior data and knowledge. Deep learning techniques have been the focus of research in the field of handwriting...
Identification of Potential Mpro Inhibitors for the Treatment of COVID-19 by Targeted Covalent Inhibition
A novel coronavirus is the causative agent identified for the current COVID-19 outbreak. Globally, more than 43 million people have been infected by this virus. The total number of deaths has surpassed 1.6 million across 210...
Knowledge-Infused Text Classification for the Biomedical Domain
Extracting knowledge from unstructured text and then classifying it is gaining importance after the data explosion on the web. The traditional text classification approaches are becoming ubiquitous, but the hybrid of semantic...
3-D Inorganic Crystal Structure Generation and Property Prediction via Representation Learning
Generative models have been successfully used to synthesize completely novel images, text, music and speech. As such, they present an exciting opportunity for the design of new materials for functional applications. So far...
A Deadline-Constrained Time-Cost-Effective Salp Swarm Algorithm for Resource Optimization in Cloud Computing
Nowadays, Cloud Computing has become the most attractive platform, which provides anything as a Service (XaaS). Many applications may be developed and run on the cloud without worrying about platforms. It is a big challenge to...
Multinational Enterprises and the Governance of Sustainability Practices in Emerging Market Supply Chains
Advanced economy multinational enterprises (AMNEs) face idiosyncratic challenges related to the governance of their sustainability practices in their emerging market supply chains. One way for AMNEs to address these challenges...

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