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119 articles for “Enhanced U-Net”
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Research ArticleOpen accessIn the abstractA Novel Approach to Modeling and Flooding in Ad-hoc Wireless NetworksO. Issaad, S. Pierre, G. I. Ivascu, O. GarciaThis study proposes a new modeling approach for wireless ad-hoc networks. The new approach is based on the construction of fuzzy neighborhoods and essentially consists of assigning a membership or importance degree to each network radio link which reflects the relative quality of this link. This approach is first used to model the flooding problem and then an algorithm is … …Journal of Computer Science, Vol. 4, Issue 12 · 31 Dec 2008 · 7,015 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Wireless Medium Access Control Layer Misbehavior Detection System in IEEE 802.11 NetworkA. M. Alsahag, M. OthmanWireless Medium Access Control (MAC) protocols such as IEEE 802.11 use distributed contention resolution mechanisms for sharing the wireless channel. In this environment, selfish hosts that fail to adhere to the MAC protocol may obtain an unfair throughput share. For example, IEEE 802.11 requires hosts competing for access to the channel to wait for a "back-off" interval, randomly selected from … …Journal of Computer Science, Vol. 4, Issue 11 · 30 Nov 2008 · 6,963 accessesView PDFCite
Research ArticleOpen accessIn the abstractExperimental Evaluation of Medium Access Schemes in 802.11 Wireless NetworksG. Singh, B. S. SohiProblem statement: Deployment of real time services over 802.11 wireless networks requires quality of service (QoS) differentiation mechanisms for different traffic types. This required investigations into the performance of the Medium access (MAC) schemes like Distributed Coordinated Function (DCF) and Enhanced DCF with respect to the stringent QoS requirements imposed by the real time services. Motivation for this research was … …Journal of Computer Science, Vol. 4, Issue 11 · 30 Nov 2008 · 7,136 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Image Component Transmission Approach to Improve Image Quality and Energy Efficiency in Wireless Sensor NetworksWei Wang, Dongming Peng, Honggang Wang, Hamid SharifDue to resource constraints, digital image transmissions are a significant challenge for image sensor based Wireless Sensor Networks (WSN). In this paper, we propose a novel robust and energy-efficient scheme, called Image Component Transmission (ICT) in WSN by providing various levels of reliability during image transmissions. Different components in the embedded wavelet image bit stream are considered and essential components … …Journal of Computer Science, Vol. 3, Issue 5 · 31 May 2007 · 7,247 accessesView PDFCite
Research ArticleOpen accessIn the abstractSeparation of the Control Plane and Forwarding Plane in Next-Generation RoutersRachid N. Takourout, Samuel Pierre, Laurent MarchandEver since the Internet appeared, network elements, such as routers, have been enhanced with much functionality. They tend to increasingly integrate more services, such as support and security mechanisms, which ensure Quality of Service. Similarly, processor performance continues to increase rapidly. Thus, these two types of evolution trigger the concept of separating the Control plane and the Forwarding plane in … …Journal of Computer Science, Vol. 2, Issue 11 · 30 Nov 2006 · 6,577 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of a New Network-enabled Solver for the Assignment Problem in Computer-aided EducationAndreou Dimitrios, Paparrizos Konstantinos, Samaras Nikolaos, Sifaleras AngeloThis study present a new learning tool developed for the visualization of an algorithm for the assignment problem. We show how the teaching of an algorithm can be greatly enhanced and the tutor's effort decreased with a visualization tool that provides an interactive and animated view of the subject being taught to the students. This tool makes use of the … …Journal of Computer Science, Vol. 1, Issue 1 · 31 Mar 2005 · 6,817 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEffectual Deep Learning Based Digital Image Forgery Detection Model Using Ameliorate CNN, VGG 16 and VGG 19 for Copy Move and Image Splicing Classification With Enhanced PerformancePreeti Dhiman, Usha ChauhanIn this research, a pioneer passive approach for detecting and localizing tampering in images is proposed. In the past, image forgeries have created a huge impact in the world. Developments of various image processing technologies made it easier to tamper images with the objective to cover up or hide a significant feature in an image. In some situation, such as … …Journal of Computer Science, Vol. 22, Issue 10 · 3 Oct 2026 · 568 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAn Optimized YOLOv11-Based Deep Learning Framework With CNN Feature Enhancement for Tile Crack DetectionVinod Kumar Pal, Pankaj MudholkarThe tile business is a critical part of the national economic development, as it is one of the areas that provides employment, produces goods, and exports them. Regardless of its significance, there are challenges in the industry that are caused by issues with production, which in most cases is caused by low-quality materials used or by mishandling of the products … …Journal of Computer Science, Vol. 22, Issue 8 · 12 Aug 2026 · 979 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPHASEY: A Contrastive Learning Approach for Enhanced Human Gait Phases RecognitionUrvashi, Deepak Kumar, Vinay Kukreja, Ayush DograHuman gait has gained much attention in behavioral biometrics as it possesses unique and distinctive characteristics. Gait phases, which describe the different patterns of human walking, are significant for the analysis and understanding of movement in an individual. Hence, the identification of gait phases is important for the accurate determination and interpretation of walking patterns, ranging from healthcare and security … …Journal of Computer Science, Vol. 21, Issue 8 · 16 Sep 2025 · 4,638 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordCrime Rate Analysis and Mapping from Socio-Economic Data Using Deep Neural NetworksSanthosh Sankara, Nadeson SugithaCrime prediction is the attempt to identify and mitigate future criminal activity. Crime is typically "unpredictable"; it cannot be predicted in advance. Addressing the roots of crime has long been a priority for researchers. Extracting causality from data is difficult if the relevant data aspects are not selected. In this research activity, an innovative classification framework is defined which is … …Journal of Computer Science, Vol. 20, Issue 10 · 17 Aug 2024 · 5,089 accessesView PDFCite