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Research ArticleOpen accessAll words, across the recordAutomatic Multi Document Summarization ApproachesYogan Jaya Kumar, Naomie SalimProblem statement: Text summarization can be of different nature ranging from indicative summary that identifies the topics of the document to informative summary which is meant to represent the concise description of the original document, providing an idea of what the whole content of document is all about. Approach: Single document summary seems to capture both the information well but … …Journal of Computer Science, Vol. 8, Issue 1 · 1 Nov 2011 · 8,712 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAdaptive Classification Method Based on Data DecompositionAyman E. Khedr, Amira M. Idrees, Ahmed I. El SeddawyKnowledge discovery is one of the vital fields which strongly supports decision making by applying different techniques based on the targeted field and the required information. Focusing on clustering and classification techniques, this paper presents an approach for adapting one of the classification algorithms for supporting decision making procedure in radiology data analysis field. The proposed adaptation is based on … …Journal of Computer Science, Vol. 12, Issue 1 · 20 Feb 2016 · 7,423 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAn Improved Approach for Topic Ontology Based Categorization of Blogs Using Support Vector MachineV. Subramaniyaswamy, S. Chenthur PandianProblem statement: Information search, collection and categorization from the blogosphere are still one of the important issues to be resolved. Mainly, the blogs assist the variety of interesting and useful information. Because of its increasing growth, blogs can not be categorized effectively. Therefore it is difficult to find relevant topics from the blogs. Hence blogs need to be categorized topically … …Journal of Computer Science, Vol. 8, Issue 2 · 29 Nov 2011 · 7,963 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAutomated Medical Image Captioning with Soft Attention-Based LSTM Model Utilizing YOLOv4 AlgorithmPaspula Ravinder, Saravanan SrinivasanThe medical image captioning field is one of theprominent fields nowadays. The interpretation and captioning of medical imagescan be a time-consuming and costly process, often requiring expert support. Thegrowing volume of medical images makes it challenging for radiologists tohandle their workload alone. However, addressing the issues of high cost andtime can be achieved by automating the process of medical image … …Journal of Computer Science, Vol. 20, Issue 1 · 16 Dec 2023 · 6,651 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordLong Short-Term Memory Model for Classification of English-PtBR Cross-Lingual Hate SpeechThiago D. Bispo, Hendrik T. Macedo, Flávio de O. Santos et al.Automatic and accurate recognition of hate speech is a difficult job. In addition to the inherent ambiguity of the natural language, deep understanding of the linguistic structure is imperative. Usually, discriminatory discourse does not make use of typical expressions and often abuse of sarcasm. Good knowledge of world and assessment of context are thus highly demanded. Several approaches have been … …Journal of Computer Science, Vol. 15, Issue 10 · 1 Nov 2019 · 7,338 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordIoT Intrusion Detection using Auto-Encoder and Machine Learning TechniquesAhmed Ridha Khudhu, Khairulmizam SamsudinIoTnetwork refers to the capability of connecting smart and various devices to asingle network for the sake of performing a particular task. Similar toconventional networks, IoT networks are vulnerable to several attacks.Therefore, IoT Intrusion Detection has caught much research attention. Severalstudies have examined the task of intrusion detection for IoT networks. Withinsuch studies, the focus was set to accommodate a … …Journal of Computer Science, Vol. 18, Issue 10 · 27 Sep 2022 · 6,458 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Hybrid Approach of Texture Feature and Gradient Orientation for Computer Aided Diagnosis System Based on Breast Density ClassificationNujum Alabdulali, Alanod Bin Dris, Fatimah Alqahtani, Aseel Bin OthmanA Computer-Aided Diagnosis (CAD) system can perform an accurate diagnosis and help radiologists by presenting a second opinion about breast density. However, the development of a robust CAD system for breast density classification is still an open problem. In this study, we proposed a CAD system based on hybrid intelligent machine learning technique for automatic classification of breast density on … …Journal of Computer Science, Vol. 16, Issue 10 · 1 Nov 2020 · 6,759 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDermoscopic Image Segmentation using Machine Learning AlgorithmL. Padma Suresh, K.L. Shunmuganathan, S.H. Krishna VeniProblem statement: Malignant melanoma is the most frequent type of skin cancer. Its incidence has been rapidly increasing over the last few decades. Medical image segmentation is the most essential and crucial process in order to facilitate the characterization and visualization of the structure of interest in medical images. Approach: This study explains the task of segmenting skin lesions in … …American Journal of Applied Sciences, Vol. 8, Issue 11 · 7 Oct 2011 · 7,342 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAn M-Learning System Based on Mobile Phones and Quick Response CodesHend S. Al-KhalifaProblem statement: Many instructors in academia wish to know how much their students understand the content of the lecture; however, doing this manually will be very difficult and time consuming. Similarly, most students have communication problems with their instructors and they wish if they can ask their questions without any fear. So a need for a technology to bridge these … …Journal of Computer Science, Vol. 7, Issue 3 · 9 Mar 2011 · 6,931 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordVehicle Detection in Aerial Traffic MonitoringDmitry Sincha, Mikhail Chervonenkis, Pavel SkribtsovThis work describes a cascade detection of vehicles in Unmanned Aerial Vehicle (UAV) images and videos. There are some new approaches used in the detection. In particular, the Region of Interest (ROI) search is not only based on GIS and navigation data, but also employs visual method based on rapid image segmentation and road detection. The work also suggests doing … …American Journal of Applied Sciences, Vol. 13, Issue 1 · 11 Jan 2016 · 7,925 accessesView PDFCite