Sentence examples for sms applications from inspiring English sources

Plivo, a telephony startup from the current Y Combinator batch, is today launching its API platform for voice and SMS applications.

Called AppShup, the app store allows developers to use the platform's API to create and connect their apps to the GupShup stream, allowing developers make small SMS applications and widgets.

Plivo, a Y Combinator-backed telephony startup that offers an API platform for voice and SMS applications, is today announcing it raised $1.75 million in seed funding from Andreessen Horowitz, Battery Ventures, Qualcomm Incorporated, and SV Angel.

A recent review [ 61] of the varied health-related uses of SMS applications suggests that it " deliver [s] both efficiency savings and improvements in the health of individuals and public health".

This concurred also with the Atun report on varied health-related uses of SMS applications where he suggested that it "deliver [s] both efficiency savings and improvements in the health of individuals and public health" [ 15].

Apps, and toolkits are required to assemble customized SM applications on a common, standards based workflow architecture and deploy on infrastructure that is accessible by small, medium, and large companies.Incorporating dynamic decision-making steps through contextualization of real-time data requires scientific workflow software such as Kepler.

In this environment, Toks Ogun, the company's founder has come up with a sensor network that lets utilities track power outages and communicate information and billing to their customers via sms, mobile applications, email, and social media.

The first part of this chapter reviews the classic mechanisms that control SM and describes some applications in process and strain improvement.

The previous sections have described in details MCA and CBA applications to SM decisions problem; the aim of this section is to provide additional considerations about the two methodologies (Table 5) and investigate their strengths and weaknesses (Table 6).

According to these requirements, we employed the SM open platform application programing interface (API) and traditional web parsing technologies (Lian et.al, [40]; Zhou et.al, [41]) to develop a web crawler program to collect data.

SM supervised the application of SSM to identification of transcriptional network.