General Tourism and Hospitality Education and Research in Bangladesh

Kabir, Karabi; Shoeb-Ur-Rahman, Muhammad

doi:10.1007/978-981-15-7014-8_11

Cited by 5 publications

(3 citation statements)

References 26 publications

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“…In circumstances where collecting empirical data is difficult, primary information becomes an invaluable source of data especially in unfolding incidents (Kabir, 2016) like the COVID-19 pandemic. Government primary sources of data on COVID-19 management was obtained from government/official policies, plans and programmes; interagency/ministerial press briefings, reports, circulars, guidelines, communiques, and statements published on the websites of stakeholder government agencies/ministries-MPH, Ministry of Territorial Administration (MTA); Ministry of Communication (MCOM), Ministry of Transport (MT), Ministry of Telecommunication (MTEL) etcetera.…”

Section: Methodsmentioning

confidence: 99%

An Overview of the Covid-19 Crisis Management in Cameroon: Decentralised Governance Response Needed

Bang

2020

Ann. Disaster Risk Sci.

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This article provides insights into Cameroon’s crisis management of the coronavirus pandemic via an exploratory and descriptive qualitative research. Thematic analysis of data was done using a framework approach; the Comprehensive Pandemic Risk Management System (CPRMS) underpins the research and provided structure, order, and clarity to the article. From the findings, one can deduce that the government is working hard to mitigate the potentially awful consequences of the coronavirus pandemic. The authorities implemented temporary containment and infection control measures to stem virus spread and have relied heavily on international and humanitarian organisations for financial/technical help to operationalise the pandemic response. Attempts to control the spread of the virus, however, have been challenging. Deficiencies abound in many areas including slowness to institute containment measures after the first infected cases; Cameroon’s fragile/weak health infrastructure; insufficient critical care units and health workers disproportionately distributed in the country; safety concerns with insufficient protective equipment for health workers; overly centralised pandemic response at the national level to the detriment of the regions and lower administrative units; government politicising the response by refusing contributions/donations from opposition parties; high cost for COVID-19 treatment limiting access to healthcare and insufficient trust in health systems ability to deal with COVID-19. Recommendations are supplied on how to improve the coronavirus response as infections skyrocket. The recommendations also address enhancing later epidemics/pandemics and Cameroon’s health system.

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Section: Methodsmentioning

confidence: 99%

An Overview of the Covid-19 Crisis Management in Cameroon: Decentralised Governance Response Needed

Bang

2020

Ann. Disaster Risk Sci.

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“…Nevertheless, the learning of restaurant operations and management spans multiple dimensions. Students must not only learn the professional culinary skills of the kitchen behind the restaurant, but also learn the marketing, operational and management capabilities of the front-end, i.e., students need to learn and develop comprehensive abilities, including cognition, affection and skills [62,63].…”

Section: Incorporating Computational Thinking Into the Catering Course Can Effectively Enhance Students' Learning Effectivenessmentioning

confidence: 99%

Is Mathematics Required for Cooking? An Interdisciplinary Approach to Integrating Computational Thinking in a Culinary and Restaurant Management Course

2021

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In recent years, with the flourishing of the catering economy and the trends in computer technology, restaurant operators have increasingly relied on employees with computational and information skills. Breaking through the traditional teaching method of mere lecturing, the study conducts a teaching demonstration by integrating the computational thinking concept and a Microsoft Excel computational system on the school’s E-learning platform into the teaching of a Culinary and Restaurant Management course. A non-equivalent control group pretest–posttest study with a quasi-experimental design is adopted for the assignment of experimental participants and the design of the course. The results show that a curriculum design with computational thinking significantly improves the effectiveness of students’ learning in digital technology and is especially helpful for the cultivation of the key capabilities of menu design and cost planning among restaurant management skills. The study makes the following contributions: during the Culinary and Restaurant Management course, the use of the E-learning platform and computing programs such as Microsoft Excel is associated with greater learning effectiveness than traditional teaching methods. The research results can serve as a reference for promoting an E-catering business model and a sustainable educational model in the future.

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“…In Bangladesh, nine types of rose breeds have seen so far. These nine breeds of roses are Papa Meiland, Iceberg, Rose Gaujard, Bengali, Sunsilk, Queen Elizabeth, Julia's Rose, Dutch Gold, King's Ransom [2]. Not only from outer look, these rose breeds are different from inner part and that's why they need different care for cultivation.…”

Section: Introductionmentioning

confidence: 99%

Local Rose Breeds Detection System Using Transfer Learning Techniques

Farha

Hakim

Khatun

2022

2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT)

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Flower breed detection and giving details of that breed with the suggestion of cultivation processes and the way of taking care is important for flower cultivation, breed invention, and the flower business. Among all the local flowers in Bangladesh, the rose is one of the most popular and demanded flowers. Roses are the most desirable flower not only in Bangladesh but also throughout the world. Roses can be used for many other purposes apart from decoration. As roses have a great demand in the flower business so rose breed detection will be very essential. However, there is no remarkable work for breed detection of a particular flower unlike the classification of different flowers. In this research, we have proposed a model to detect rose breeds from images using transfer learning techniques. For such work in flowers, resources are not enough in image processing and classification, so we needed a large dataset of the massive number of images to train our model. we have used 1939 raw images of five different breeds and we have generated 9306 images for the training dataset and 388 images for the testing dataset to validate the model using augmentation. We have applied four transfer learning models in this research, which are Inception V3, ResNet50, Xception, and VGG16. Among these four models, VGG16 achieved the highest accuracy of 99%, which is an excellent outcome. Breed detection of a rose by using transfer learning methods is the first work on breed detection of a particular flower that is publicly available according to the study.

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General Tourism and Hospitality Education and Research in Bangladesh

Cited by 5 publications

References 26 publications

An Overview of the Covid-19 Crisis Management in Cameroon: Decentralised Governance Response Needed

An Overview of the Covid-19 Crisis Management in Cameroon: Decentralised Governance Response Needed

Is Mathematics Required for Cooking? An Interdisciplinary Approach to Integrating Computational Thinking in a Culinary and Restaurant Management Course

Local Rose Breeds Detection System Using Transfer Learning Techniques

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