The persuasive techniques in propaganda campaigns impact the Internet environment and our society. Detecting has aroused broad attention natural language processing field. In this paper, we propose a novel emotion-enhanced multi-level representation learning approach for multi-modal detection. To consider emotional factors used techniques, embed text images using different networks, use fully c...

Abstract Method This paper endeavors to introduce a new approach modal split estimation. In the frame of research, customized model recently created Best-Worst (BWM) is applied evaluate mode choice alternatives by transport experts. The integrated BWM tested on real-world case study in Budapest, capital Hungary, where small number selected experts estimate three different groups clustered based...

The free vibration characteristics of a dual split torque transmission are studied in this work. A transversetorsional coupling dynamic model is developed using lumped parameter method. The natural frequencies and mode shapes are calculated by solving the eigenvalue problem of the differential equations of motion. The vibration modes of the system are classified into translational mode and rota...

In this paper I discuss some points relevant for developing a computational cognitive model of the conceptualiser, the first component in the human language production system according to Levelt (1989). I describe extensions of the incremental conceptualiser (inC) with the aim of creating a cognitively plausible multimodal dialogue model. I point out a way to represent multimodal knowledge on t...

Many studies have documented framing effects in economic games. These studies, however, have tended to use minimal framing cues (e.g. a single sentence labelling the frame), and the frames did not involve unambiguous offer expectations. Results often did not differ substantially from those in the unframed games. Here we test the hypothesis that, in contrast to the modal offer in the unframed ul...