This article presents a refined theory of paratextuality and bridges the gap between Kathryn Batchelor’s understanding paratexts as “consciously crafted threshold” risk paratext’s “collapse into vastness ‘the context’” through new form paratextual relationship: collateral paratextuality. Doing so facilitates investigations how audiences engage with complex constellations materials in digital sp...

Baby cry sound detection allows parents to be automatically alerted when their baby is crying. Current solutions in home environment ask for a client-server architecture where an end-node device streams the audio to a centralized server in charge of the detection. Even providing the best performances, these solutions raise power consumption and privacy issues. For these reasons, interest has re...

Highly ordered reduced graphene oxide (RG-O) micro-patterns were crafted by an efficient method capitalizing on the self-assembled polymer template. Central to this strategy is to fabricate the polymer template over a large area via controlled evaporative selfassembly (CESA), and treat the templated glass substrate with the O2 plasma to render the favorable interaction between the RG-O platelet...

We propose a new cascaded regressor for eye center detection. Previous methods start from a face or an eye detector and use either advanced features or powerful regressors for eye center localization, but not both. Instead, we detect the eyes more accurately using an existing facial feature alignment method. We improve the robustness of localization by using both advanced features and powerful ...

Malignant melanomas are the most deadly type of skin cancer but detected early have high chances for successful treatment. In last twenty years, interest automated melanoma recognition detection and classification dynamically increased partially because public datasets appearing with dermatoscopic images lesions. Automated computer-aided in is a very challenging task due to uneven sizes, huge i...

The paper describes two parsing schemes: a shallow approach based on machine learning and a cascaded finite-state parser with a hand-crafted grammar. It discusses several ways to combine them and presents evaluation results for the two individual approaches and their combination. An underspecification scheme for the output of the finite-state parser is introduced and shown to improve performance.

This paper presents the CSTParser, a multi-document discourse parser. Based on machine learning techniques and hand-crafted rules, the system identifies a set of relations predicted by CST (Cross-document Structure Theory) among sentences of different texts on the same topic.

There is an increased exploration of the potential wireless communication networks in automation daily human tasks via Internet Things. Such implementations are only possible with proper design networks. Path loss prediction a key factor parameters such as cell radius, antenna heights, and number sites that can be set. As path affected by environment, satellite images network locations used dev...

<span>Digital image forgery (DIF) is the act of deliberate alteration an to change details transmitted by it. The manipulation may either add, delete or alter any features contents, without leaving hint induced. In general, copy-move forgery, also referred as replication, most common various kinds passive techniques. basic process copy/paste from one area another in same image. Over past ...

Community Question Answering (cQA) forums have become a popular medium for soliciting answers to specific user questions from experts and experienced users in a given topic. However, for a given question, users sometimes have to sift through a large number of low-quality or irrelevant answers to find out the answer which satisfies their information need. To alleviate this, the problem of Answer...