The sparsity of data in the southwest Pacific Ocean has limited our understanding of the effect of oceanography in regional ocean climate, and on the role that the ocean plays in ocean-atmosphere interaction. Consequently, comprehensive climate studies of the southwest Pacific region have been constrained due in part to this relatively poor spatial (on regional to large scales) and temporal (on...

This paper is Part III in a series examining aspects of a monsoon depression that formed within the monsoon trough near the coast of northwestern Australia in February 1994. The depression was a prominent feature in that area for about a week. Aspects of the structure and evolution of the depression are described in Part I by Hell and Smith (1998). In Part II, Dengler and Smith (1998) describe ...

This paper demonstrates that a lot of time, cost, and complexities can be saved avoided would otherwise used to label the text data for classification purposes. The AI world realizes importance labelled its use various NLP applications. Here, we have categorized close 6,000 unlabelled samples into five distinct classes. dataset was further multi-class classification. Data labelling task using t...

Most existing scene text detectors focus on detecting characters or words that only capture partial messages due to missing contextual information. For a better understanding of in scenes, it is more desired detect blocks (CTBs) which consist one multiple integral units (e.g., characters, words, phrases) natural reading order and transmit certain complete messages. This paper presents detection...

This paper examines several ways to extract timely economic signals from newspaper text and shows that such information can materially improve forecasts of macroeconomic variables including GDP, inflation unemployment. Our is drawn three popular UK newspapers collectively represent readership in terms political perspective editorial style. Exploiting both unconditionally when conditioning on ot...