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Results: 34
A State-of-the-Art Survey on Face Recognition Methods
Face Recognition is an efficient technique and one of the most liked biometric software application for the identification and verification of specific individual in a digital image by analysing and comparing patterns. This...
Published by: IGI Global
Autoencoder Based Anomaly Detection for SCADA Networks
Supervisory control and data acquisition (SCADA) systems are industrial control systems that are used to monitor critical infrastructures such as airports, transport, health, and public services of national importance. These are...
Published by: IGI Global
Assessing Hyper Parameter Optimization and Speedup for Convolutional Neural Networks
The increased processing power of graphical processing units (GPUs) and the availability of large image datasets has fostered a renewed interest in extracting semantic information from images. Promising results for complex image...
Published by: IGI Global
Analyzing Linguistic Features for Answer Re-Ranking of Why-Questions
Why-type non-factoid questions are ambiguous and involve variations in their answers. A challenge in returning one appropriate answer to user requires the process of appropriate answer extraction, re-ranking and validation....
Published by: IGI Global
Why-Type Question to Query Reformulation for Efficient Document Retrieval
Understanding the actual need of user from a question is very crucial in non-factoid why-question answering as Why-questions are complex and involve ambiguity and redundancy in their understanding. The precise requirement is to...
Published by: IGI Global
Critical Evaluation of Continuous Improvement and Its Implementation in SMEs
The purpose of this paper is to represent the current scenario of continuous improvement activities of SMEs in Indian context in different sectors. Literature study focuses on the approach of implementation of CI activities in...
Published by: IGI Global
Modeling the Critical Success Factors for Business Intelligence Implementation
Business intelligence (BI) helps organizations to make better and quicker decisions. The primary requirement, as per previous studies, for any successful BI implementation in an organization and its' stakeholders, is to...
Published by: IGI Global
Performance Analysis of Machine Learning Algorithms for Cervical Cancer Detection
Cervical cancer is second most prevailing cancer in women all over the world and the Pap smear is one of the most popular techniques used to diagnosis cervical cancer at an early stage. Developing countries like India has to...
Published by: IGI Global
An Article on Big Data Analytics in Healthcare Applications and Challenges
The technological advancement has also opened up various ways to collect data through automatic mechanisms. One installed mechanism collects a huge amount of data without any further maintenance or human interventions. The...
Published by: IGI Global
Big Data Analytics in Healthcare
The technological advancement has also opened up various ways to collect data through automatic mechanisms. One such mechanism collects a huge amount of data without any further maintenance or human interventions. The health...
Published by: IGI Global
Rice Crop Disease Prediction Using Machine Learning Technique
Crop yields are affected at large scale due to spread of unchecked diseases. The spread of these diseases is similar to the spreading of cancer in human body. But, unlike cancer these diseases can be identified at early stages...
Published by: IGI Global
Bandwidth Estimation and Optimized Bitrate Selection for Dynamic Adaptive Streaming Over HTTP Using RSI-GM and ISSO
Dynamic Adaptive Streaming over HTTP (DASH) is an emerging solution that aims to standardize existing proprietary streaming systems. DASH specification defines the media presentation description (MPD), which describes a list of...
Published by: IGI Global
Factor Affecting Innovation Performance of Manufacturing Firms
In the knowledge-based economy, creation, management, and dissemination of knowledge in an organized way will certainly enhance the innovative practices of companies in any country. This article has tried to explore the impact...
Published by: IGI Global
Performance Analysis of Machine Learning Algorithms for Cervical Cancer Detection
Cervical cancer is second most prevailing cancer in women all over the world and the Pap smear is one of the most popular techniques used to diagnosis cervical cancer at an early stage. Developing countries like India has to...
Published by: IGI Global
Artificial Bee Colony Optimized Deep Neural Network Model for Handling Imbalanced Stroke Data
Ajay Dev, Sanjay Malik
Sep 01, 2021
The healthcare domain gets wide attention among the research community due to incremental data growth, advanced diagnostic tools, medical imaging processes, and many more. Enormous healthcare data is generated through diagnostic...
Published by: IGI Global
Taxonomy of Load Balancing Practices in the Cloud Computing Paradigm
Rapid growth in communication technology allows users location-independent access to IT infrastructure at pay-per-use via cloud computing. This has paved a new paradigm in information processing for the consumers. Due to Cloud's...
Published by: IGI Global
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...
Published by: IGI Global
Motivations and Social Media Influencing Online Purchase Intention in India
The purpose of the study is to examine the influence of hedonic and utilitarian motivation on Indian consumer's online purchase intention. Second, this study tried to explore if social media mediates the influence of hedonic and...
Published by: IGI Global
Statistical Growth Analysis of Rice Plants in Chhattisgarh Region Using Automated Pixel-Based Mapping Technique
The statistical growth analysis of field crop has become a great challenge in agriculture. Analyzing the growth of crop through automation provides extensive significance to the farmers for getting information about the problem...
Published by: IGI Global
Brain Tumour Segmentation in FLAIR MRI Using Sliding Window Texture Feature Extraction Followed by Fuzzy C-Means Clustering
In this paper, a hybrid approach using sliding window mechanism followed by fuzzy c means clustering is proposed for the automated brain tumour extraction. The proposed method consists three phases. The first phase is used for...
Published by: IGI Global
The Adoption and Utilization of Electronic Business in Response to the Global Economy During COVID-19
The COVID-19 epidemic has triggered unmatched impairment to businesses globally. There are unmeasurable financial influences in the short-term and long-term and have causes intangible destruction within businesses. This study...
Published by: IGI Global

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