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Detecting cancer from the computed tomography (CT)images of lung nodules is very challenging for radiologists. Early detection of cancer helps to provide better treatment in advance and to enhance the recovery rate. Although a lot of research is being carried out to process clinical images, it still requires improvement to attain high reliability and accuracy. The main purpose of this paper is to achieve high accuracy in detecting and classifying the lung cancer and assisting the radiologists to detect cancer by using CT images. The CT images are collected from health-care centres and remote places through Internet of Things (IoT)-enabled platform and the image processing is carried out in the cloud servers.

IoT-based lung cancer detection is proposed to access the lung CT images from any remote place and to provide high accuracy in image processing. Here, the exact separation of lung nodule is performed by Otsu thresholding segmentation with the help of optimal characteristics and cuckoo search algorithm. The important features of the lung nodules are extracted by local binary pattern. From the extracted features, support vector machine (SVM) classifier is trained to recognize whether the lung nodule is malicious or non-malicious.

The proposed framework achieves 99.59% in accuracy, 99.31% in sensitivity and 71% in peak signal to noise ratio. The outcomes show that the proposed method has achieved high accuracy than other conventional methods in early detection of lung cancer.

The proposed algorithm is implemented and tested by using more than 500 images which are collected from public and private databases. The proposed research framework can be used to implement contextual diagnostic analysis.

The cancer nodules in CT images are precisely segmented by integrating the algorithms of cuckoo search and Otsu thresholding in order to classify malicious and non-malicious nodules.

This paper aims to investigate Thai stakeholders’ perceptions of developing a destination for international retirement migration (IRM). Increasingly, residents of developed nations such as Japan who retire from work are choosing to live in Thailand or other less-developed countries.

Qualitative approach was used, and data were collected through focus groups and in-depth interviews in Chiang Mai and Bangkok. Content analysis technique was used to analyze data after completing the interviews of 35 industry participants.

It was found from the participants that considerable new real estate development and services specifically for these retirees has been created in recent years, but that there is a lack of stakeholder collaboration in catering to this market. Moreover, local resident knowledge of the retirees’ culture and language is lacking, along with a need for policy and planning support from government.

A limitation of this study is that it explored only the perception of business stakeholders involved with Japanese IRM, a group of importance to the Thai Government due to their increasing numbers. Further study could look at local community attitudes toward IRM and how a community adapts to this new phenomenon.

This study provides guidelines for stakeholders, government and local communities. Especially, the role of government is to provide support with clear information about the visa process and legal documents.

This study contributes to the body of knowledge of destination development strategy for a specific international retirement tourist group.

This study aims to investigate the decision-making processes of international retirement migrants. The development of a place in response to the high demand for international retirement migration has become an important strategy for stakeholders within host destinations; of particular interest is international retirement migrant behaviour and intention to stay and retire in a foreign country.

This research presents the results of a qualitative study using face-to-face interview techniques. Content analysis technique was used to analyse data from interviews with 33 international retirees in Thailand.

Destination stakeholders must consider creating awareness of the destination through WOM, trustworthy websites and government channels, which migrants evaluate a destination based on pre-retirement visits that create attachment and emotional feelings for the place, and finally, the decision-making processes of short stay, semi-permanent and permanent migrants.

This qualitative study investigated migrants from Europe, Australia and the USA. An understanding of IR migrants from Asia needs further research.

The results can be used as guidelines for government, hospitality and tourism stakeholders. IR migrants want different destination attributes to mainstream tourists, especially a peaceful environment, mild weather (not too cold or hot), and to live among locals.

This study examines migrant decision-making processes. The results provide a theoretical foundation for how IR migrants decide to retire overseas. This comprises three components: destination awareness, secondly, evaluation of the destination’s resources, and finally, the decision and implementation of their plans.