Search

Results: 128
Co-Worker Support and Communities of Practice
Communities of practice foster sharing of knowledge in the organisations. For the creation of such an organisational-level practice community, a motivating environment for the development of such practice communities should be...
Chaotic Whale Crow Optimization Algorithm for Secure Routing in the IoT Environment
This paper solves the internet of things (IoT) security issues by introducing a chaotic whale crow (CWC) optimization, which is the integration of chaotic whale optimization algorithm (CWOA) in crow search algorithm (CSA). The...
Enhancing the Readiness for Change Role of Intentional Behaviour, Planfulness, and Learning Through Experimentation
In the prevalent VUCA (volatile-uncertain-complex-ambiguous) environment, the readiness for change has become an antidote to survive and thrive. Drawing on change readiness theory, the present study investigates the hypothesised...
Automated Classification of Sleep Stages Using Single-Channel EEG
The main contribution of this paper is to present a novel approach for classifying the sleep stages based on optimal feature selection with ensemble learning stacking model using single-channel EEG signals.To find the suitable...
Performance Enhancement of the Unbalanced Text Classification Problem Through a Modified Chi Square-Based Feature Selection Technique
This paper proposes a modified chi square-based feature selection algorithm in conjunction with a random vector functional link network-based text classifier for improving the classification performance of multi-labeled text...
Extreme Min – Cut Max – Flow Algorithm
In this article, the authors propose a maximum flow algorithm based on flow matrix. The algorithm only requires the effort to reduce the capacity of the underutilized arcs to that of the respective flow. The optimality of the...
Prediction of Environmental Pollution Using Hybrid PSO-K-Means Approach
Air pollution is increasing day by day, decreasing the world economy, degrading the quality of life, and resulting in a major productivity loss. At present, this is one of the most critical problems. It has a significant impact...
Chemical profiling of DNA G-quadruplex-interacting proteins in live cells.
DNA-protein interactions regulate critical biological processes. Identifying proteins that bind to specific, functional genomic loci is essential to understand the underlying regulatory mechanisms on a molecular level. Here we...
Published by: Nature chemistry
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...
An Improved Image Compression Model Enabled by Adaptive Active Contour and Supervised Learning-Based ROI Classification
This paper plans to develop a novel image compression model with four major phases. (i) Segmentation (ii) Feature Extraction (iii) ROI classification (iv) Compression. The image is segmented into two regions by Adaptive ACM. The...
An Empirical Exploration of E-Agriculture System Acceptance, Satisfaction, and Usage
The Indian economy relies heavily on agriculture, and an e-agriculture portal is a digital tool for sustainable development. It enables government and farmers to exchange information and share resources with anyone. However...
Identification of Reasons Behind Infant Crying Using Acoustic Signal Processing and Deep Neural Network for Neonatal Intensive Care Unit
Abstract. The infants admitted in the Neonatal Intensive Care Unit (NICU) always need a Hygienic environment and round the clock observations. Infants or the just born babies always express their physical and emotional needs...
Application of Machine Learning Models for Malware Classification With Real and Synthetic Datasets
Stacking of multiple Machine Learning (ML) classifiers have gained popularity in addressing anomalous data classification along with Deep Learning (DL) algorithms. This study compares traditional ML classifiers, multi-layer...

|<

<

1

2

3

4

5

>

>|