Supervised learning method requires a large volume of annotated datasets. Collecting such datasets is time-consuming and expensive. Until now, very few COVID-19 imaging are available. Although self-supervised enables us to bootstrap the training by exploiting unlabeled data, generic methods for natural images do not sufficiently incorporate context. For medical images, desirable should be sensi...

Abstract Self-adaptable system concerns on service adaptation whenever errors persist within the system. Changes in contextual information such as networks or sensors will affect system’s effectiveness because process is not comprehensively handled those contexts. Besides, correctness to get most equivalence services be substituted limitedly being addressed from previous works. A dynamic framew...

The analysis of text-based user-generated content (UGC) on the Web has become one highly acclaimed topic in recent years both in theory and practice. As users are able to participate and publicly comment on almost any webpage nowadays, UGC occurs scattered across the web and mixes with various content types such as advertising texts, product descriptions or other editorial articles. Holistic re...

The application of zone of proximal development (ZPD), as a major tenet of Vygotsky’s sociocultural theory (SCT, 1978), has recently been invited in the L2 learning/teaching profession. This study mainly examined whether Iranian EFL learners’ interactions in diverse ZPD-activated proximal contexts through the use of storytelling instruction could improve their oral (speaking) proficiency and at...

Contextual information plays a vital role for software developers when understanding and fixing bug. Consequently, deep learning based program repair techniques leverage context bug fixes. However, existing treat in an arbitrary manner, by extracting code close proximity of the buggy statement within enclosing file, class, or method, without any analysis to find actual relations with To reduce ...

Ubiquitous computing comprises scenarios where networks, devices within the network, and software components change frequently. Market demand cost-effectiveness are forcing device manufacturers to introduce new-age devices. Also, Internet of Things (IoT) is transitioning rapidly from IoT Everything (IoE). Due this enormous scale, effective management these becomes vital support trustworthy high...

In order to predict and recommend what users want, users’ information is required, more required improve the performance of recommender system. As IoT devices smartphones have made it possible know user’s context, context-aware systems emerged preferences by considering context. A system uses contextual such as time, weather, location preferences. However, a are not always same in given They ma...