Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.
Dileep Kumar SajnaniSoutheast University (China) | SEU · School of Computer Science and Engineering
Dileep Kumar Sajnani
Student
About
9
Publications
1,305
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
97
Citations
Introduction
Skills and Expertise
Publications
Publications (9)
Course recommendation is a key for achievement in a student’s academic path. However, it is challenging to appropriately select course content among numerous online education resources, due to the differences in users’ knowledge structures. Therefore, this paper develops a novel sentiment classification approach for recommending the courses using T...
The prediction of review rating is an imperative sentiment assessment task that aims to discover the intensity of users’ sentiment toward a target product from several reviews. This paper devises a technique based on sentiment classification for predicting the review rating. Here, the review data are taken from the database. The significant feature...
In this paper, we have proposed dynamic application partitioning (DAPTS) algorithm and task scheduling for real time healthcare application. We have evaluated our proposed algorithm in the healthcare benchmark workflow application and comparison with benchmark heuristics, and finish all workflow tasks within a given deadline. In this paper, our goa...
Mobile Edge Cloud Architecture (MECA) facilitates mobile devices to perform computationally intensive applications in a collaborative manner with cloud computing. The offloading system in MECA is a technique in which application can be divided into local execution and cloud execution. However, existing MECA does not stable due to a longer delay for...
Nowadays, the usage of mobile devices is progressively increased. Until, delay sensitive applications (Augmented Reality, Online Banking and 3D Game) are required lower delay while executed in the mobile device. Mobile Cloud Computing provides a rich resource environment to the constrained-resource mobility to run above mentioned applications, but...
In this paper, we are investigating the power consumption of mobile device while performing offloading system. The offloading system is way in which mobile application can be divided into local and remote execution in order to alleviate the CPU energy consumption. However, existing offloading systems do not consider data transfer communication ener...
