Search results
Results from the WOW.Com Content Network
SafetyLit Foundation: Science.gov: Multidisciplinary: A gateway to government science information and research results from over 60 databases, over 2,200 websites, and over 200 million pages. Free United States Government: Science Citation Index [67] Multidisciplinary: Part of Web of Science. 24,000+ journals across 254 subject disciplines ...
Advanced search options in various search engines (like DuckDuckGo or Google) can help to pinpoint coverage about topics. To narrow searches to specific sites, here's something that works in DuckDuckGo and Google searches (be sure to include the topic in quotation marks): "Search topic" site:www.siteexample.com This generates results only from ...
Google Scholar is a freely accessible web search engine that indexes the full text or metadata of scholarly literature across an array of publishing formats and disciplines. . Released in beta in November 2004, the Google Scholar index includes peer-reviewed online academic journals and books, conference papers, theses and dissertations, preprints, abstracts, technical reports, and other ...
Scientific publications on the World Wide Web (although e.g. scientific journals are now commonly published on the web). Books, technical reports, pamphlets, and working papers issued by individual researchers or research organizations on their own initiative; these are sometimes organized into a series.
General scheme of content-based image retrieval. Content-based image retrieval, also known as query by image content and content-based visual information retrieval (CBVIR), is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases (see this survey [1] for a scientific overview of the CBIR field).
Federated searching technology allows the information patron to search multiple data sources with a single query in real time. It provides simultaneous access to "deep web" scientific databases, which are typically not searchable by commercial search engines. In June 2010, WorldWideScience.org implemented multilingual translations capabilities.
An image retrieval system is a computer system used for browsing, searching and retrieving images from a large database of digital images. Most traditional and common methods of image retrieval utilize some method of adding metadata such as captioning, keywords, title or descriptions to the images so that retrieval can be performed over the annotation words.
An alternate name for the process, in the context of search engines designed to find web pages on the Internet, is web indexing. Popular search engines focus on the full-text indexing of online, natural language documents. [1] Media types such as pictures, video, [2] audio, [3] and graphics [4] are also searchable.