Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

10 results for “Level Set (LS) Approaches”
Set a search alert
Review ArticleOpen accessIn the keywordsSegmentation Methods of Echocardiography Images for Left Ventricle Boundary DetectionSamaneh Mazaheri, Rahmita Wirza, Puteri Suhaiza Sulaiman et al.Due to acoustic interferences and artifacts which are inherent in echocardiography images, automatic segmentation of anatomical structures in cardiac ultrasound images is a real challenge. This paper surveys state-of-the-art researches on echocardiography data segmentation methods, concentrating on methods techniques developed for clinical data. We present a classification of methodologies for echocardiography image segmentation. By choosing ten recent papers which have … …Journal of Computer Science, Vol. 11, Issue 9 · 6 Dec 2015 · 7,054 accessesView PDFCite
Research ArticleOpen accessIn the abstractAuthorship Attribution of Short Historical Arabic Texts using Stylometric Features and a KNN Classifier with Limited Training DataFatma Howedi, Masnizah Mohd, Zahra Aborawi Aborawi, Salah A. JowanAuthorship Attribution (AA) is a task that aims to recognize the authorship of unknown texts based on writing style. Out of the various approaches to solve the AA problem, Stylometry is a promising one. This paper explores the use of a K-Nearest Neighbor (KNN) classifier combined with stylometry features to perform AA. This study indicates the robustness of KNN in … …Journal of Computer Science, Vol. 16, Issue 10 · 3 Oct 2020 · 8,190 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Exception Management Model in Multi-Agents SystemsBelkacem Athamena, Zina HouhamdiMulti-Agents Systems (MAS) are modern approaches that need an additional investigation to improve their reliability and adaptability levels. Exception management is one way to reach this goal and this paper is dedicated to this specific subject. The purpose of this document is to examine the exception concept in MAS domain and to suggest a model adjusted to MAS challenges such … …Journal of Computer Science, Vol. 13, Issue 5 · 29 May 2017 · 7,445 accessesView PDFCite
EditorialOpen accessIn the abstractBig Data and Parkinson’s Disease - from Understanding of Disease to Personalised MedicineYen F. Tai, Nicola PaveseThe advancement of information technology in recent years has generated a huge amount of datasets in all areas of scientific research. This has led to new opportunities to harness the 'Big Data' to improve our understanding of diseases - from investigating disease mechanisms to monitoring treatment responses. The Big Data approach is a data-driven and often hypothesis-free, way of studying … …Neuroscience International, Vol. 7, Issue 1 · 27 Jul 2016 · 7,755 accessesView PDFCite
HypothesisOpen accessIn the abstractExtending the Repertoire of Structures in DNA NanotechnologyClive DelmonteDNA nanotechnology remains an active area of research and advances have been reviewed recently. DNA nanotechnology seeks to deploy molecules at an atomic level and on a small molecule scale. Other techniques in biophysics and biochemistry do not need to address the issue of the true structure of the nucleic acids at an atomic level but, rather, at a macro-atomic … …Current Research in Nanotechnology, Vol. 6, Issue 1 · 7 Oct 2015 · 13,914 accessesView PDFCite
EditorialOpen accessIn the abstractData Mining in Time Series: Current Study and Future TrendTan Yan, Liudmila Ulanova, Ye Ouyang, Fengyuan XuTime series represent sequences of data points where usually their order is defined by the time when they were recorded. Thus, virtually any sequential recordings can be stored as time series: Stock prices, weather conditions, physical system parameters change, product quality monitoring, etc. This leads to ubiquity of time series in all scientific and practical fields (Esling and Agon, 2012); … …Journal of Computer Science, Vol. 10, Issue 12 · 26 Jan 2015 · 8,756 accessesView PDFCite
Research ArticleOpen accessIn the abstractBuilding Opening Books for 9×9 Go Without Relying on Human Go ExpertiseKeh-Hsun Chen, Peigang ZhangProblem statement: Expert level opening knowledge is beneficial to game playing programs. Unfortunately, expert level opening knowledge is only sparsely available for 9×9 Go. We set to build expert level opening books for 9×9 Go. Approach: We present two completely different approaches to build opening books for 9×9 Go without relying on human Go expertise. The first approach is based … …Journal of Computer Science, Vol. 8, Issue 10 · 18 Aug 2012 · 6,894 accessesView PDFCite
Research ArticleOpen accessIn the abstractSRBIR: Semantic Region Based Image Retrieval by Extracting the Dominant Region and Semantic LearningI. Felci Rajam, S. ValliProblem statement: The Semantic Region Based Image Retrieval (SRBIR) system that automatically segments the dominant foreground region, consisting of the semantic concept of the image, such as elephants, roses and does the semantic learning, is proposed. Approach: The system segments an image into different regions and finds the dominant foreground region in it, which is the semantic concept of that … …Journal of Computer Science, Vol. 7, Issue 3 · 7 Mar 2011 · 7,026 accessesView PDFCite
EditorialOpen accessIn the abstractRe-Paving the Road Built by Chemistry: A Challenge to Biochemistry and BiotechnologyAlberto A. IglesiasBiochemistry’s birth can be placed at the end of the nineteenth century, when Eduard Buchner made a clever interpretation of experimental observations on the generation of gas bubbles after addition (the original purpose was preservation) of sucrose to a yeast crude extract (Lagerkvist, 2005). Intelligently, Buchner concluded that the disaccharide had been fermented by broken cells’ suspension to produce CO2, … …American Journal of Biochemistry and Biotechnology, Vol. 11, Issue 1 · 26 Jan 2015 · 7,461 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Semantic Image Retrieval Technique Through Concept Co-occurrence Based Database Organization and DeepLab SegmentationR. Jayadevan, V.S. SheebaIn this paper, a semantic image retrieval technique that efficiently depicts users’ perspective is proposed. It primarily aims in the representation of contextual diversity of the user through a high level semantic segmentation technique called DeepLab-V3+. An online user interactive step is also included during the retrieval process. The significance of intra-concept variation in image retrieval is clearly presented in … …Journal of Computer Science, Vol. 16, Issue 1 · 11 Jan 2020 · 6,996 accessesView PDFCite