A meta-study on future work in information and communication technologies

Abstract

Not only have Information and Communication Technologies (ICT) advanced in rapid succession, but society has embraced these developments and implemented them in daily life. This adoption has not only affected our way of conducting routine activities, but also significantly modified the way we do things as well as the things we now do. At this junction, rather than how engineering should improve ICT, the appropriate question seems to be “what should ICT engineers focus on? This question involves not only the prediction of future trends, but core engineering ethics, since any new ICT development is likely to affect societal activity. We present a recent study where we developed an approach to predict future trends and use it to guide our research plans. In that sense, the current study is a meta study, that is, a study to reveal what and how we should conduct future studies.

Development of a Mobile Application for Interaction between Patients and Doctors in Rural Populations

“…e connection to power is another constraint that may limit the use of the application. In this regard, it is worth noting that the electricity coverage index-ICEE-at the national level is 96.10 percent, with 99.59 percent in urban areas, and 84.84 percent in rural regions [13][14][15]. As a result, the availability of electrical energy in rural areas does not pose a genuine threat to the usage of mobile application.…”

Detection of Tuberculosis Disease Using Image Processing Technique

“…Another research found on image processing is found in [9] which like [12][13][14][15] helps the early diagnosis of breast cancer using image processing; within this research, we can find that it uses the technique of segmentation by texture; the images used as evidence are from a database, which has images of cancerous masses and microcalcifications manually labelled by experts. In [16][17][18], they carry out the identification of breast cancer using thermal images, perform a digital processing of the images, using a texture analysis of the images to identify, and extract all the regions of interest.…”