Search Results - (( basic visualization learning algorithm ) OR ( using detection drops algorithm ))
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Algorithm-program visualization model : An intergrated software visualzation to support novices' programming comprehension
Published 2015“…The role of Software Visualization (SV) has been involved to overcome the complexity and problems in the learning programming. …”
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Wormhole attack detection mechanism in mobile ad hoc network using neighborhood information and path tracing algorithm
Published 2015“…Path Tracing (PT) Algorithm was proposed to detect and prevent exposed wormhole attacks in MANET. …”
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Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun
Published 2000“…This system is achieved using the Genetic Algorithm which is capable of performing information retrieval and learning algorithm. …”
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QoS evaluation of different TCPs congestion control algorithm using NS2
Published 2006“…The second is RED (Random Early Detection), which drops incoming packets at a certain probability.…”
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Proceeding Paper -
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The A-rray: visual animation in learning structured programming / Wan Salfarina Wan Husain ,Siti Hasrinafasya Che Hassan and Wan Norliza Wan Bakar
Published 2018“…According to the result of students' learning style by using a set of Learning Style Inventory, 54% of students are visual thinkers. …”
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A review on monocular tracking and mapping: from model-based to data-driven methods
Published 2022“…This article starts by introducing the basic sensor systems and analyzing the evolution of monocular tracking and mapping algorithms through bibliometric data. …”
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Performance study of large block forward error correction with random early detection queue policy
Published 2009“…In this paper, we report an investigation on performance of the forward error correction (FEC) with random early detection (RED) queuing policy. FEC is a technique that uses redundant packet to reconstruct the dropped packet, while RED is an active queue management algorithm. …”
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Book Section -
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Rain streak removal using emboss and spatial-temporal depth filtering technique in video keyframes
Published 2012“…The results obtained were satisfying, where the algorithm were able to detect and remove the rain streaks without losing the aliveness of the scene. …”
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CHID : conditional hybrid intrusion detection system for reducing false positives and resource consumption on malicous datasets
Published 2017“…In addition, it is also aimed to improve the resource consumption of the packet-based detection approach. CHID applied attribute wrapper features evaluation algorithms that marked malicious flows for further analysis by the packet-based detection. …”
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DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS
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DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS
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The Role of Machine Learning and Deep Learning Approaches for the Detection of Skin Cancer
Published 2023“…Moreover, this paper also defined the basic requirements for creating a skin cancer detection application, which revolves around two main issues: the full segmentation image and the tracking of the lesion on the skin using deep learning. …”
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Automated traffic counting data collection and analysis
Published 2021“…However, the accuracy is dropped to 50% when the condition is dark. This is due to the system is unable to detect the vehicle in such condition.…”
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Final Year Project / Dissertation / Thesis -
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An empirical study of pattern leakage impact during data preprocessing on machine learning-based intrusion detection models reliability
Published 2023“…Our study uses three well-known intrusion detection datasets: NSL-KDD, UNSW-NB15, and KDDCUP99. …”
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Adaptive unified neural network for dynamic power quality compensation
Published 2013“…For compensating the fault, another controller plant is implemented that uses Levenberg-Marquardt backpropagation algorithm. …”
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Conference or Workshop Item -
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Design and Development of Artificial Intelligence (Al)-Based Desicion Support System For Manufacturing Applications
Published 2016“…In this report, the research on welding defect detection and classification using radiograph images is presented. …”
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Monograph -
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Optimizing the light gradient-boosting machine algorithm for an efficient early detection of coronary heart disease
Published 2024“…This aimed to optimize the Light Gradient-Boosting Machine (LightGBM) algorithm to enhance its performance and accuracy in the early detection of CHD, providing a reliable, cost-effective, and non-invasive diagnostic tool. …”
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Performance enhancement of DCCP TCP - like over long delay link networks
Published 2012“…Instead of halving the current congestion window when congestion events are detected, the reduction of current congestion window drop has been shown to improve the DCCP TCP-like throughput with minimal drop packet percentage.…”
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Cloud-based lightweight detection of hardhat compliance based on YOLOv5 in power construction site
Published 2025“…Furthermore, it achieved approximately 50 Frames per Second (FPS) using a live camera, meeting the real-time detection requirements. …”
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