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Article
Publication date: 22 July 2020

Jiten Chaudhary, Rajneesh Rani and Aman Kamboj

Brain tumor is one of the most dangerous and life-threatening disease. In order to decide the type of tumor, devising a treatment plan and estimating the overall survival time of…

233

Abstract

Purpose

Brain tumor is one of the most dangerous and life-threatening disease. In order to decide the type of tumor, devising a treatment plan and estimating the overall survival time of the patient, accurate segmentation of tumor region from images is extremely important. The process of manual segmentation is very time-consuming and prone to errors; therefore, this paper aims to provide a deep learning based method, that automatically segment the tumor region from MR images.

Design/methodology/approach

In this paper, the authors propose a deep neural network for automatic brain tumor (Glioma) segmentation. Intensity normalization and data augmentation have been incorporated as pre-processing steps for the images. The proposed model is trained on multichannel magnetic resonance imaging (MRI) images. The model outputs high-resolution segmentations of brain tumor regions in the input images.

Findings

The proposed model is evaluated on benchmark BRATS 2013 dataset. To evaluate the performance, the authors have used Dice score, sensitivity and positive predictive value (PPV). The superior performance of the proposed model is validated by training very popular UNet model in the similar conditions. The results indicate that proposed model has obtained promising results and is effective for segmentation of Glioma regions in MRI at a clinical level.

Practical implications

The model can be used by doctors to identify the exact location of the tumorous region.

Originality/value

The proposed model is an improvement to the UNet model. The model has fewer layers and a smaller number of parameters in comparison to the UNet model. This helps the network to train over databases with fewer images and gives superior results. Moreover, the information of bottleneck feature learned by the network has been fused with skip connection path to enrich the feature map.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 13 no. 4
Type: Research Article
ISSN: 1756-378X

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Article
Publication date: 25 November 2024

Aman Kumar, Amit Shankar, Rajesh Kumar and Ajith Kumar Vadakki Veetil

This study examines the effect of crucial factors (benefits and sacrifices) influencing employees' perceived values (hedonic and utilitarian) towards metaverse meeting platforms…

86

Abstract

Purpose

This study examines the effect of crucial factors (benefits and sacrifices) influencing employees' perceived values (hedonic and utilitarian) towards metaverse meeting platforms. Further, the study investigates the impact of employees' perceived values (hedonic and utilitarian values) on behavioral intention to use metaverse meeting platforms. The study also examines how behavioral intention to use metaverse meeting platforms influences organizational SDG achievement. Finally, the authors analyzed the moderating impact of employee creativity.

Design/methodology/approach

Data were collected from 228 participants through structured questionnaires, and the hypotheses were examined using the structural equation modeling approach.

Findings

Social presence and technostress are significantly associated with perceived hedonic value. Further, social presence, exhaustion and technostress are significantly associated with perceived utilitarian value. Similarly, perceived hedonic and utilitarian value is significantly associated with behavioral intention to use metaverse meeting platforms. Further, behavioral intention to use metaverse meeting platforms is also significantly associated with SDG achievement.

Originality/value

The study enriches the existing literature pertaining to the metaverse, strategic human resources, sustainability, employee creativity and technology adoption. The research also enriches the value-based adoption (VAM) and stimulus-organism-response (SOR) theories.

Details

International Journal of Manpower, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0143-7720

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Article
Publication date: 5 August 2024

Fei Hao, Wailing Ng, Adil Masud Aman and Chen Zhang

This study evaluates the impact of Avatar-led Green Training on enhancing organizational citizenship behavior for the environment (OCBE) and green creativity among employees in…

370

Abstract

Purpose

This study evaluates the impact of Avatar-led Green Training on enhancing organizational citizenship behavior for the environment (OCBE) and green creativity among employees in the hospitality sector. This study aims to understand how such innovative training influences green engagement and workplace spirituality, exploring the role of employees’ biospheric values in this context.

Design/methodology/approach

The research involved implementing Avatar-led Green Training courses for 724 hotel employees, followed by comprehensive online surveys. The collected data were analyzed using partial least squares structural equation modeling to assess the effectiveness and implications of the training.

Findings

Findings indicate that Avatar-led Green Training significantly enhances green engagement in OCBE, primarily through the development of workplace spirituality. Additionally, the study discovers a moderating effect of biospheric value on the training’s efficacy in fostering workplace spirituality, underlining its critical role in environmental consciousness and creativity.

Practical implications

This research benefits managers, human resources professionals, senior leaders and employees by enhancing training effectiveness and workplace satisfaction, while also positively impacting the industry’s environmental footprint and reputation.

Originality/value

This study’s originality lies in its exploration of artificial intelligence (AI)-driven training methods, particularly Avatar-led Green Training, in enhancing OCBE and green creativity in the hospitality sector. It offers a novel perspective on how technology can be leveraged for environmental stewardship and employee engagement.

Details

International Journal of Contemporary Hospitality Management, vol. 37 no. 1
Type: Research Article
ISSN: 0959-6119

Keywords

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Article
Publication date: 5 July 2024

Muhammad Asif and Hesham Fazel

The use of smartphone applications is the primary means by which modern technology improves the experiences of tourists in the tourism industry by bringing novel and superior…

128

Abstract

Purpose

The use of smartphone applications is the primary means by which modern technology improves the experiences of tourists in the tourism industry by bringing novel and superior features. The purpose of this study is to look into and examine the factors that affect tourists’ intention to use technology when looking for information in areas of tourism.

Design/methodology/approach

This study quantitatively uses online surveys. A total number of 315 questionnaires were collected from the tourism industry in Saudi Arabia. Partial least squares-structural equations model is used to analyze the data to evaluate the measurement and structural models.

Findings

Results of this study reveal that attitude, perceived usefulness, perceived ease of use and perceived enjoyment significantly and positively influence the intention of tourists, while customer relationship management and personal innovativeness in technology are insignificant. Furthermore, customer relationship management and personal innovativeness in technology indirectly impact tourists’ intentions.

Originality/value

This study offers novel insights by comprehensively analyzing the factors that influence tourists' intention to adopt technology in the context of destination information searches. Finding new avenues, the research emphasizes the distinct functions of customer relationship management, personal innovativeness in technology and enjoyment, offering insightful viewpoints for improving technology integration in the tourism industry.

Details

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

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Article
Publication date: 24 May 2024

Susminingsih Susminingsih, Abdul Mujib, Anis Wahdati, Mochammad Achwan Baharuddin and Dian Sa'adillah Maylawati

This study aims to examine the factors that influence the increase in purchase intention toward green batik products with religiosity as an intervening variable.

321

Abstract

Purpose

This study aims to examine the factors that influence the increase in purchase intention toward green batik products with religiosity as an intervening variable.

Design/methodology/approach

The study used a survey method that involved a sample size of 185 participants selected through purposive and accidental sampling techniques. The analysis was conducted by using IBM SPSS AMOS 21 software. The collected data were subjected to path analysis using multiple linear regression models.

Findings

The result indicated that religiosity plays a mediating role in the association between factors and the intention to purchase green product (GPd) of the Indonesian natural dye batik product. This finding is in accordance with the construction of theory of planned behavior in understanding consumer purchase intentions. GPd, green brand and green price exhibited a positive correlation with green purchase intention (GPI). Interestingly, the price was found to no longer serve as the primary factor in GPI.

Research limitations/implications

The analysis would have been more compelling if it had used a mixed-method approach by introducing the variables of customer satisfaction and promotion.

Practical implications

This research postulates that increased prices are no longer a deterrent to the purchase of GPd. Instead, consumer consciousness regarding GPd plays a pivotal role in driving GPI. GPd have revolutionized individuals’ consumption patterns to contribute to environmental preservation. The use of green batik products is seen as advantageous in helping mitigate environmental degradation.

Originality/value

The present research assesses the impact of religiosity, as an intervening variable, on the augmentation of GPI by gauging its significance in enhancing ecological consciousness and moral values.

Details

Journal of Islamic Marketing, vol. 15 no. 12
Type: Research Article
ISSN: 1759-0833

Keywords

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