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Virtual reality (VR) has grown and become more prevalent as technology advances. However, there is a smaller amount of study focusing on the functionality of VR applications in mental health. Therefore, to close the gap, research has been conducted with the aim of reviewing the functionality of VR applications for mental health. The research has performed a systematic literature review (SLR) to investigate the growth of VR applications for mental health. Three significant databases in computer science were involved in the search process, specifically, Scopus, the Institute of Electrical and Electronics Engineers (IEEE), and World of Science (WoS). The result indicates seventy-six papers (76) in three databases. The research analyzed the papers, and the result suggested reviewing four papers. The result also shows that the functionality of virtual reality (VR) applications for mental health is beneficial to the medical sector. However, less research has been conducted specifically on the application functionality. We believe there will be more research on the field in the future. [ABSTRACT FROM AUTHOR]

Now a day's software reengineering plays a great role in the industry of computer science. There are a lot of different companies that runs different type of software's but most of them have old/legacy software systems. These systems need some improvements and reconstruct, but if we develop a new system for the specific company then that is much expensive, and a lot of risk involve in it. These different situations face, we are reengineering the software based on customer requirements and time demand, that is much helpful and low expensive. In this paper, we review different relevant papers and describe it in a definite way and show it that after software reengineering, software system will be more stable and reliable. In this also discuss the overall software reengineering process and their different interrelated steps. [ABSTRACT FROM AUTHOR]

Text-to-Image Synthesis is the method of creating occurrences (images, animation) from a given text depiction. The text depiction is additionally combined, utilizing the discourse of the client. Image synthesizing has consistently been an eye-catching business sector for nearly ten years now. Blending pictures dependent on the depiction given by the client will be more client-driven than more frameworks created, which causes individuals to comprehend the impression of others. Text-to-picture Synthesis is utilized to create fake countenances - producing counterfeit faces that look practically indistinguishable from genuine individuals - Coloring pictures, MRI image reconstruction, and crime scene visualization. In this paper, we review the technique for text-to-picture Synthesis and its applications in different fields. These regions incorporate medical applications, Forensics applications, and cultural applications. Our work centers around giving a synopsis on quite possibly the most exceptionally encouraging areas of Computer Science for people and organizations keen on making an ideal world. We envision our review to acquire more significant and better applications contributing to the advancement of humankind. [ABSTRACT FROM AUTHOR]