Cancer detection from gene expression data continues to pose a challenge due to the high dimensionality and complexity of these data. After decades of research there is still uncertainty in the clinical diagnosis of cancer and the identification of tumor-specific markers. Here we present a deep learning approach to cancer detection, and to the identification of genes critical for the diagnosis ...

We present the algorithms and implementation of an interactive system to capture and interpret an architectural design from a collection of small-scale physical elements. The user sketches a proposed design by arranging 3D wall modules and simple markers for windows, materials, and other design features on a table. The color-coded elements are captured by a camera mounted above the scene and re...

We study the detection of character types from fictional dialog texts such as screenplays. As approaches based on the analysis of utterances' linguistic properties are not sufficient to identify all fictional character types, we develop an integrative approach that complements linguistic analysis with interactive and communication characteristics, and show that it can improve the identification...

The acquisition of human motion data is of major importance for creating interactive virtual environments, intelligent user interfaces, and realistic computer animations. Today’s performance of off-the-shelf computer hardware enables marker-free non-intrusive optical tracking of the human body. In addition, recent research shows that it is possible to efficiently acquire and render volumetric s...

Efficient and effective image segmentation is an important task in computer vision and object recognition. Since fully automatic image segmentation is usually very hard for natural images, interactive schemes with a few simple user inputs produce good solutions. This work presents a new region merging based interactive image segmentation method. The users only need to roughly indicate the locat...

an interactive heuristic approach can offer a practical solution to the problem of linear integer programming (lip) by combining an optimization technique with the decision maker’s (dm) judgment and technical supervision. this is made possible using the concept of bicriterion linear programming (blp) problem in an integer environment. this model proposes two bicriterion linear programs for iden...

A generic analysis of research articles can cover a wide variety of issues; among them are rhetorical features. A crucial part of the rhetorical features of research article is the use of metadiscourse that can help to make the text persuasive and acceptable to a discourse community (Hyland, 2005). The underlying principle behind metadiscourse use is the view of writing as socially engaging: in...

Recently, thanks to the rapid development of smart phones, augmented reality has extended from personal computers to mobile phones. The highly interactive nature of augmented reality with its user has given rise to various augmented reality applications for mobile phones, ranging from mere interaction to marketing, games, navigation, and so on. As such, augmented reality has for years been one ...

This study aims to describe the directive speech act of public officials in handling COVID-19 by involving context that occurs community. The used a qualitative research design. Data collection uses documentation and recording methods. data analysis technique interactive model Miles Huberman. results showed from total 56 utterances, it was found use "ask" utterances amounted 2 or 4%; "invite" 1...

Targeted selection and inbreeding have resulted in a lack of genetic diversity in elite hexaploid bread wheat accessions. Reduced diversity can be a limiting factor in the breeding of high yielding varieties and crucially can mean reduced resilience in the face of changing climate and resource pressures. Recent technological advances have enabled the development of molecular markers for use in ...