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Article
Publication date: 1 March 2003

Sandhya D. Srivastava

121

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Collection Building, vol. 22 no. 1
Type: Research Article
ISSN: 0160-4953

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Abstract

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Collection Building, vol. 21 no. 4
Type: Research Article
ISSN: 0160-4953

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Article
Publication date: 1 June 2002

Sandhya D. Srivastava

64

Abstract

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Collection Building, vol. 21 no. 2
Type: Research Article
ISSN: 0160-4953

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Available. Content available
Article
Publication date: 1 March 2003

Sandhya D. Srivastava

79

Abstract

Details

Collection Building, vol. 22 no. 1
Type: Research Article
ISSN: 0160-4953

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Abstract

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Collection Building, vol. 21 no. 2
Type: Research Article
ISSN: 0160-4953

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Article
Publication date: 24 May 2022

Jawad Ahmad Dar, Kamal Kr Srivastava and Sajaad Ahmad Lone

The Covid-19 prediction process is more indispensable to handle the spread and death occurred rate because of Covid-19. However early and precise prediction of Covid-19 is more…

120

Abstract

Purpose

The Covid-19 prediction process is more indispensable to handle the spread and death occurred rate because of Covid-19. However early and precise prediction of Covid-19 is more difficult because of different sizes and resolutions of input image. Thus these challenges and problems experienced by traditional Covid-19 detection methods are considered as major motivation to develop JHBO-based DNFN.

Design/methodology/approach

The major contribution of this research is to design an effectual Covid-19 detection model using devised JHBO-based DNFN. Here, the audio signal is considered as input for detecting Covid-19. The Gaussian filter is applied to input signal for removing the noises and then feature extraction is performed. The substantial features, like spectral roll-off, spectral bandwidth, Mel-frequency cepstral coefficients (MFCC), spectral flatness, zero crossing rate, spectral centroid, mean square energy and spectral contract are extracted for further processing. Finally, DNFN is applied for detecting Covid-19 and the deep leaning model is trained by designed JHBO algorithm. Accordingly, the developed JHBO method is newly designed by incorporating Honey Badger optimization Algorithm (HBA) and Jaya algorithm.

Findings

The performance of proposed hybrid optimization-based deep learning algorithm is estimated by means of two performance metrics, namely testing accuracy, sensitivity and specificity of 0.9176, 0.9218 and 0.9219.

Research limitations/implications

The JHBO-based DNFN approach is developed for Covid-19 detection. The developed approach can be extended by including other hybrid optimization algorithms as well as other features can be extracted for further improving the detection performance.

Practical implications

The proposed Covid-19 detection method is useful in various applications, like medical and so on.

Originality/value

Developed JHBO-enabled DNFN for Covid-19 detection: An effective Covid-19 detection technique is introduced based on hybrid optimization–driven deep learning model. The DNFN is used for detecting Covid-19, which classifies the feature vector as Covid-19 or non-Covid-19. Moreover, the DNFN is trained by devised JHBO approach, which is introduced by combining HBA and Jaya algorithm.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 16 no. 2
Type: Research Article
ISSN: 1756-378X

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Book part
Publication date: 3 February 2025

Chandrima Chakraborty and Dipyaman Pal

Abstract

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Performance Analysis of the Indian Pharmaceutical Industry: A Global Outlook
Type: Book
ISBN: 978-1-83797-743-7

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Article
Publication date: 28 June 2011

Anurag K. Srivastava, Sukumar Kamalasadan, Daxa Patel, Sandhya Sankar and Khalid S. Al‐Olimat

The electric power industry has been moving from a regulated monopoly structure to a deregulated market structure in many countries. The purpose of this study is to…

3224

Abstract

Purpose

The electric power industry has been moving from a regulated monopoly structure to a deregulated market structure in many countries. The purpose of this study is to comprehensively review the existing markets to study advantages, issues involved and lessons learnt to benefit emerging electricity markets.

Design/methodology/approach

The paper employs a comprehensive review of existing competitive electricity market models in USA (California), UK, Australia, Nordic Countries (Norway), and developing country (Chile) to analyze the similarities, differences, weaknesses, and strengths among these markets based on publically available data, literature review and information.

Findings

Ongoing or forthcoming electricity sector restructuring activities in some countries can be better designed based on lessons learnt from existing markets and incorporating their own political, technical and economical contexts. A template for design of successful electricity market has also been presented.

Research limitations/implications

This study is limited to a comparative analysis of five markets and can be extended in the future for other existing and emerging electricity markets.

Practical implications

The discussed weaknesses and strengths of existing electricity markets in this study can be practically utilized to improve the electricity industry market structures leading to several social benefits including lower electricity cost.

Originality/value

The comprehensive review and analysis of five existing markets, physically located in different continents, may be used as an assistance or reference guide to benefit the emerging electricity markets in other countries.

Details

International Journal of Energy Sector Management, vol. 5 no. 2
Type: Research Article
ISSN: 1750-6220

Keywords

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Article
Publication date: 27 June 2022

Mohamed El-Sayed Mousa and Mahmoud Abdelrahman Kamel

This study aims to examine performance assessment of organizational units through psychological empowerment (PE) and employee engagement (EE) approach and whether this…

491

Abstract

Purpose

This study aims to examine performance assessment of organizational units through psychological empowerment (PE) and employee engagement (EE) approach and whether this relationship differs among efficient and inefficient organization units.

Design/methodology/approach

This study drew on merging the principal component analysis (PCA), data envelopment analysis (DEA) and partial least square-multigroup analysis (PLS-MGA) to benchmark the performance of organizational units affiliated with Zagazig University in Egypt using PE dimensions as inputs and EE as output. Besides investigating whether PE inputs have the same effect among efficient and inefficient units.

Findings

Performance assessment based on independent data showed that all the investigated organizational units are not at the same efficiency level. The results revealed that there are eight efficient units versus seven inefficient ones. Moreover, PLS-MGA results demonstrated that no significant differences concerning the impact of PE inputs on EE between efficient and inefficient units groups. Nevertheless, the effect of these inputs was slightly higher in the former.

Originality/value

Studies on EE performance in the service sector are scarce in the literature, this study is a novel contribution of exploring EE efficiency in Egypt as a developing economy. Specifically, using the PCA-DEA-structural equation modeling approach.

Details

Journal of Modelling in Management, vol. 18 no. 5
Type: Research Article
ISSN: 1746-5664

Keywords

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Article
Publication date: 2 January 2024

Natashaa Kaul, Amruta Deshpande, Amit Mittal, Rajesh Raut and Harveen Bhandari

This study aims to examine the research that examines psychological empowerment (PE) and employee engagement (EE) via bibliometric analysis. The study also aims to offer an…

283

Abstract

Purpose

This study aims to examine the research that examines psychological empowerment (PE) and employee engagement (EE) via bibliometric analysis. The study also aims to offer an overview of the present state of research and indicate potential future research topics.

Design/methodology/approach

The literature on PE and engagement was reviewed using bibliometric analysis based on publications in the Scopus database. The analysis comprises a three-field plot, theoretical framework examination, thematic analysis and quantitative analysis of the most frequently referenced publications, affiliations, countries and authors.

Findings

The study identifies research trends such as the use of the leadership lens, the examination of the different degrees of empowerment, the examination of alternate mechanisms to improve engagement and the impact of supervisor resources on these constructs. The study also suggests areas for future research, such as the influence of leadership and organizational culture on these two factors, the link between PE and EE and the impact of the changing structure of work via the increased use of technology and new work relations like gig work on these concepts.

Originality/value

This study offers a thorough and systematic overview of the state of the research in the area of PE and EE. This study emphasizes the significance of PE and engagement in management by giving a thorough overview of the present state of research and outlining future research possibilities.

Details

Global Knowledge, Memory and Communication, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2514-9342

Keywords

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