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

310 results for “detection algorithm”

Set a search alert
Research ArticleOpen accessAll words, across the recordPhishing Website Detection Using Improved Multilayered Convolutional Neural NetworksHadia Bibi, Syed Rehan Shah, Mirza Murad Baig et al.The internet has become an essential part of many fields: Communication, entertainment, commerce, industrial production, agriculture, etc. Unfortunately, online users are vulnerable to various attacks; this could lead to financial damages and loss of personal information. Phishing is seen as an internet threat and a cybercrime where anyone can capture personal information and data by posing as a reliable source. … …Journal of Computer Science, Vol. 20, Issue 9 · 6 Jul 2024 · 6,578 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEffects of Visible and Near Infrared Polarized Lights on Spoofing Face DetectionAzim Zaliha Abd AzizFace spoofing countermeasure is vital to avoid an imposter from gaining access to security biometric systems by using face masks in various forms that mimic a valid user face. Recently, several studies have shown the ability of visible polarized light in distinguishing real and fake faces. In this paper, polarization imaging systems using visible and near infrared (NIR) are proposed … …Journal of Computer Science, Vol. 15, Issue 2 · 23 Feb 2019 · 7,893 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordExtracting Unique Personal Identification Number from IrisNenad Nestorovic, P.W.C. Prasad, Abeer Alsadoon, Amr ElchouemiThe aim of this research is to propose an enhanced model that significantly reduces the noise in the iris templates and thus present an efficient and reliable iris recognition system. Accuracy of Iris recognition system significantly depends on reducing noise at every stage of recognition process especially at eye image acquisition and iris segmentation stages. The proposed Iris recognition model … …American Journal of Applied Sciences, Vol. 14, Issue 7 · 7 Jul 2017 · 8,132 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordSFAD2H: 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 · 7,457 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordWireless Body Area Sensor Networks Signal Processing and Communication Framework: Survey on Sensing, Communication Technologies, Delivery and FeedbackKhalid Abu Al-Saud, Massudi Mahmuddin, Amr MohamedProblem statement: The Wireless Body Area Sensor Networks (WBASNs) is a wireless network used for communication among sensor nodes operating on or inside the human body in order to monitor vital body parameters and movements. This study surveys the state-of-the-art on Wireless Body Area Networks, discussing the major components of research in this area including physiological sensing and preprocessing, WBASNs … …Journal of Computer Science, Vol. 8, Issue 1 · 1 Nov 2011 · 9,155 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAn Improved Implementation of Brain Tumor Detection Using Segmentation Based on Neuro Fuzzy TechniqueS. Murugavalli, V. RajamaniImplementation of a neuro-fuzzy segmentation process of the MRI data is presented in this study to detect various tissues like white matter, gray matter, csf and tumor. The advantage of hierarchical self organizing map and fuzzy c means algorithms are used to classify the image layer by layer. The lowest level weight vector is achieved by the abstraction level. We … …Journal of Computer Science, Vol. 3, Issue 11 · 30 Nov 2007 · 7,107 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Novel Odor Key Technique for Security Applications Using Electronic Nose SystemMahmoud Z. IskandaraniProblem statement: A novel approach to security applications that makes use of odors as password generators is developed and tested. The developed system detects and converts odor signals that are randomly selected to binary signals and then intelligently compares them with previously stored values. Approach: The interface device in question then either opens its interface if comparison is successful or … …American Journal of Applied Sciences, Vol. 7, Issue 8 · 31 Aug 2010 · 7,186 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPsoriasis Detection Using Skin Color and Texture FeaturesNidhal K. El Abbadi, Nizar Saadi Dahir, Muhsin A. AL-Dhalimi, Hind RestomProblem statement: In this study a skin disease diagnosis system was developed and tested. The system was used for diagnosis of psoriases skin disease. Approach: Present study relied on both skin color and texture features (features derives from the GLCM) to give a better and more efficient recognition accuracy of skin diseases. We used feed forward neural networks to classify … …Journal of Computer Science, Vol. 6, Issue 6 · 30 Jun 2010 · 8,290 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordDeep Learning Approach for Human Action Recognition Using Gated Recurrent Unit Neural Networks and Motion AnalysisNeziha Jaouedi, Noureddine Boujnah, Med Salim BouhlelHuman action recognition is a computer vision task. The evaluation of action recognition algorithms relies on the proper extraction and learning of the data. The success of the deep learning and especially learning layer by layer led to many imposing results in several contexts that include neural network. Here the Recurrent Neural Networks (RNN) with hidden unit has demonstrated advanced … …Journal of Computer Science, Vol. 15, Issue 7 · 29 Jul 2019 · 8,018 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordReal Time Object Tracking and Protection: Hybrid Logistics Architecture in Ubiquitous Environments (HLAiUE)Abdul Jawwad Patel, Abeer Alsadoon, P.W.C. Prasad, A. ElchouemiRealtime object security and vehicle tracking have not been successfully implemented in commercial vehicles due to limitations in processing large amount of data and hardware capabilities. This paper aimed to improve the object security, processing power and data storage in a distributed environment. The proposed system (HLAiUE) consists of a three-layer architecture, first layer is used to collect data, second … …American Journal of Applied Sciences, Vol. 15, Issue 8 · 17 Oct 2018 · 7,520 accessesView PDFCite