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167 results for “Open Data”
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Research ArticleOpen accessIn the abstractGender Classification from Face and Eyes Images Using Deep Learning AlgorithmZahraa Salam Abu Ghrban, Nidhal Khdhair EL AbbadiGender classification provides additional information about the individual’s identity, which is crucial in surveillance, smart interface, and smart advertising, it is a very important aspect of face analysis that has piqued the interest of researchers in areas such as demographic information collection, surveillance, human-computer interaction, marketing intelligence, security, etc. Usually, facial images are used to extract features for classification. This … …Journal of Computer Science, Vol. 19, Issue 3 · 24 Feb 2023 · 6,946 accessesView PDFCite
Research ArticleOpen accessIn the abstractBooming Medical Tourism and Economic IndicesRamalingam ShanmugamGlobalization in this 21st century unifies nations. The globalization impacts positively to promote trade and services among the nations but it could also harm economic growth and technological innovations in nations as their capital are drained to elsewhere. On its own merits, the globalization is a true manifestation of an open economy. The medical profession is not immune to this … …International Journal of Research in Nursing, Vol. 3, Issue 2 · 30 Mar 2013 · 7,780 accessesView PDFCite
Research ArticleOpen accessIn the abstractArabic Named Entity Recognition Using Artificial Neural NetworkNaji F. Mohammed, Nazlia OmarProblem statement: Named Entity Recognition (NER) is a task to identify proper names as well as temporal and numeric expressions, in an open-domain text. The NER task can help to improve the performance of various Natural Language Processing (NLP) applications such as Information Extraction (IE), Information Retrieval (IR) and Question Answering (QA) tasks. This study discusses on the Named Entity … …Journal of Computer Science, Vol. 8, Issue 8 · 16 Jul 2012 · 8,681 accessesView PDFCite
Research ArticleOpen accessIn the abstractSuitability of Volatility Models for Forecasting Stock Market Returns: A Study on the Indian National Stock ExchangeTrilochan Tripathy, Luis A. Gil-AlanaProblem statement: Measuring volatility is an important issue for stock market traders. Also, volatility has been used as a proxy for riskiness associated with the asset. This study aims to compare the different volatility models based on how well they model the volatility of the India NSE. Approach: The study has made use of five models which are Historical/Rolling Window … …American Journal of Applied Sciences, Vol. 7, Issue 11 · 8 Nov 2010 · 7,854 accessesView PDFCite
Research ArticleOpen accessIn the abstractIterative Feedforward Control for Bearing-Free Multibody SystemsNicola Y. Bailey, Christopher Lusty, Patrick S. KeoghAutomated machinery and robotics are commonly conventional multibody systems containing bearing components, which exhibit uncertain, discontinuous and complex tribological characteristics. These generate wear and fundamentally limit the precision of small scale motion due to the tribological effects being difficult to compensate for using model-based active control. However, they can be eliminated through the replacement of traditional bearing joints with flexure … …Journal of Mechatronics and Robotics, Vol. 5, Issue 1 · 6 Dec 2021 · 6,481 accessesView PDFCite
Special issueIndustrial RobotsAmerican Journal of Engineering and Applied Sciences · 11 Feb 2021
Research ArticleOpen accessIn the abstractDEVELOPMENT OF OBSTACLE AVOIDANCE TECHNIQUE IN WEB-BASED GEOGRAPHIC INFORMATION SYSTEM FOR TRAFFIC MANAGEMENT USING OPEN SOURCE SOFTWARENik Mohd Ramli Nik Yusoff, Helmi Zulhaidi Mohd Shafri, Ratnasamy Muniandy, Islam Mohammad WaliThe shortest path routing is one of the well-known network analysis techniques implemented in road management systems. Pg Routing as an extension of Postgre SQL/Post GIS database is an open source library that implements the Dijkstra shortest path algorithm. However, the functionality to avoid obstacles in that analysis is still limited. Therefore, this study was conducted to enable obstacle avoidance … …Journal of Computer Science, Vol. 10, Issue 7 · 16 Jun 2014 · 6,933 accessesView PDFCite
Research ArticleOpen accessIn the abstractSFAD2H: Selective Forwarding or Dropping Attack Detection with 2-Hop Acknowledgment Support in Wireless Sensor NetworksPrathap Uppara, Kiran Krishnappa, Deepa Shenoy Punjalkatte, Venugopal Kuppanna RajukSecurity in wireless sensor networks is critical due to its way of open communication. In this study we have proposed a technique based on a sensor node having alternate path knowledge and 2-hop acknowledgement mechanism to detect adversary nodes which perform selective forwarding and dropping attacks. In selective forwarding attack nodes on the forwarding path refuses to transfer packets selectively. … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 4 · 23 Nov 2017 · 7,463 accessesView PDFCite