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27 results for “Detection Probability”
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Research ArticleOpen accessIn the keywordsEnhanced Hybrid Spectrum Sensing Method Using TCDT and IEDT for Cognitive RadioNeha Chaudhary, Rashima Mahajan, Richa Adlakha et al.The development of efficient spectrum sensing techniques has witnessed progressive growth for optimum utilization of spectrum resources in cognitive radio. The primary objective of spectrum sensing is the identification and proper utilization of the spectrum holes. Nowadays, due to the advancement of wireless technologies, the demand for spectrum is also increasing and thus in turn, the requirement for better spectrum … …Journal of Computer Science, Vol. 20, Issue 11 · 20 Nov 2024 · 4,301 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEXTENDED-RANDOMIZED, EFFICIENT, DISTRIBUTED: A DYNAMIC DETECTION OF CLONE ATTACKS IN STATIC WIRELESS SENSOR NETWORKSC. Geetha, M. RamakrishnanA wireless sensor network is a collection of nodes organized in to a cooperative network. Each node consists of processing capability, multiple types of memory, a power source and actuators and sensors. This wireless sensor network is established in hostile and harsh environments like civil and military applications. This network is prone to various attacks. One of the major attack … …Journal of Computer Science, Vol. 10, Issue 10 · 6 May 2014 · 6,742 accessesView PDFCite
Research ArticleOpen accessIn the keywordsUsing Multi-Scale Filtering to Initialize a Background Extraction ModelS. H. Davarpanah, Fatimah Khalid, N. A. Lili et al.Problem statement: Probability-based methods which usually work based on the saved history of each pixel are utilized severally in extracting a background image for moving detection systems. Probability-based methods suffer from a lack of information when the system first begins to work. The model should be initialized using an alternative accurate method. Approach: The use of a nonparametric filtering to … …Journal of Computer Science, Vol. 8, Issue 7 · 24 May 2012 · 7,276 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Effective History-based Background Extraction SystemSeyed Hashem Davarpanah, Fatimah Khalid, Maryam GolchinProblem statement: In many visions-based surveillance systems, the first step is accomplished by detecting moving objects resulted from subtraction of the current captured frame from the extracted background. So, the results of these systems mainly depend on the accuracy of the background image. Approach: In this study, a proposed background extraction system is presented to model the background using a … …Journal of Computer Science, Vol. 8, Issue 7 · 23 May 2012 · 6,998 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Evolution Framework for Evaluating Intelligent Spectrum Sensing Mechanisms in Cognitive RadioArchana Krishnamuthy, Sudhindra Kumbhashi RajgopalCognitive radio technology has advanced to address the challenge of limited spectrum availability by employing spectrum sensing techniques. This process is framed as a detection problem involving two core hypotheses: Hypo-0 and Hypo-1. Hypo-0 represents the scenario where only noise is present, and its modeling depends on parameters such as the number of observed samples, the timing of signal acquisition, … …Journal of Computer Science, Vol. 21, Issue 8 · 4 Sep 2025 · 5,807 accessesView PDFCite
Research ArticleOpen accessIn the abstractMethodological Approach to Developing a Model of Interference-Free Processing of Multichannel Records of the Electrical Cardiological Impulse to Determine Episodes of Cardiac Muscle IschemiaSergey Alexandrovich Sheptunov, Alexander Nikolaevich Muranov, Abas Khasanovich Lampezhev, Tagirbek Gaidarbekovich AslanovThis study considered a set of topical issues aimed at improving the methodology of the early recognition of episodes of myocardial ischemia. It aims to solve a set of problems in the substantiation and development of a methodological approach for building a model of interference-free processing of multichannel electrocardio signal recordings. Based on theoretical and experimental studies, this will create … …Journal of Computer Science, Vol. 21, Issue 5 · 14 Apr 2025 · 4,911 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved SVM with Hyperparameter Tuning for Fake News DetectionAtcharaporn Nachaithong, Kittipol WisaengIn today’s digital age, accessing information has become effortless. An abundance of resources is available online, from trustworthy news outlets providing factual information to unverified opinions shared by anonymous individuals. With the advent of modern technology, social media platforms have revolutionized interaction and staying informed, providing instant access to news and information related to a wide range of topics. They … …Journal of Computer Science, Vol. 20, Issue 10 · 28 Aug 2024 · 5,636 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Spectrum Sensing and Allocation Model for Primary User Detection and Interference Mitigation in Television WhitespacesJoachim Notcker, Emmanuel Adetiba et al.Television White Space (TVWS) emerges as an encouraging solution to address the challenge of a restricted wireless communication spectrum. It denotes the frequency range spanning from 54-790 MHz and researchers have increasingly explored its propagation characteristics in recent years. Nonetheless, a notable hindrance to its effective utilization lies in the interference between primary and secondary users, as well as interference … …Journal of Computer Science, Vol. 20, Issue 3 · 29 Jan 2024 · 5,228 accessesView PDFCite
Research ArticleOpen accessIn the abstractEpsilon-Insensitive Primal Loss With Support Vector Machine for Robust Cotton Leaf Disease ClassificationPavana Kumar Eramachetty Dhanajayalu, Malathi Sivasamy, Chitveli Siva Balaji YadavCotton diseases significantly reduce both yield and quality of crops, making early and accurate identification of the disease crucial for effective prevention and control. However, achieving a balance between lightweight models and precise classification of cotton diseases remains challenging. This difficulty arises primarily from the dispersed nature of disease symptoms and interference from noisy backgrounds, which complicate the detection process. … …Journal of Computer Science, Vol. 22, Issue 6 · 5 Aug 2026 · 755 accessesView PDFCite
Research ArticleOpen accessIn the abstractData Analytics for the Cyber Security of an Information System Based on a Markov Decision Process ModelLidong Wang, Randy Jones, Terril C. FallsIntrusion detection is an important research topic in information systems and cyber security. Both a defender and an attacker detect and learn about each other during an intrusion process. The defender can expel the attacker as soon as the attacker is detected or wait and observe to know more about the attacker for the detection and prevention of other attacks … …American Journal of Engineering and Applied Sciences, Vol. 15, Issue 4 · 7 Dec 2022 · 5,431 accessesView PDFCite