Search Results - (( data evaluation window algorithm ) OR ( parallel optimization path algorithm ))
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Online teleoperation of writing manipulator through graphics processing unit based accelerated stereo vision
Published 2021“…To deal with these issues, adaptive sampling algorithm is applied to the data points to adhere to the manipulators speed constraints. …”
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Tool path generation of contour parallel based on ant colony optimisation
Published 2016“…An Ant Colony Optimisation (ACO) method is used to optimize the tool path length because of its capability to find the shortest tool path length. …”
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Minimizing machining airtime motion with an ant colony algorithm
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Towards lowering computational power in IoT systems: Clustering algorithm for high-dimensional data stream using entropy window reduction
Published 2024“…Lately, a fully online buffer-based clustering algorithm for handling evolving data streams (BOCEDS) was developed. …”
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Restoration planning strategy of transmission system based on optimal energizing time of sectionalizing islands / Dian Najihah Abu Talib
Published 2019“…There are two discrete optimization techniques used in this work, which are the Artificial Bee Colony algorithm and Evolutionary Programming. …”
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Examining the round trip time and packet length effect on window size by using the Cuckoo search algorithm
Published 2016“…Crucial to this is the width of the sliding window. This study utilized raw data from network traffic and built a Neural Network (NN) model trained with the Cuckoo Search (CS) algorithm. …”
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Efficient management of Top-k queries over Uncertain Data Streams with dynamic Sliding Window Model
Published 2024“…The algorithm development combines the frameworks from Phases 1 to 3, evaluating real and synthetic datasets. …”
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Performance evaluation and enhancement of EDCA protocol to improve the voice capacity in wireless network
Published 2017“…The OPNET simulator and the mathematical model were used to evaluate the performance for the proposed algorithm. …”
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CC_TRS: continuous clustering of trajectory stream data based on micro cluster life
Published 2017“…For offline phase, a density based clustering approach is used to generate macro clusters depending on temporal micro clusters. The evaluation of the proposed algorithm on real data sets shows the efficiency and the effectiveness of the proposed algorithm and proved it is efficient alternative to time window technique.…”
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Comparison of malware detection model using supervised machine learning algorithms / Syamir Mohd Shahirudin
Published 2022“…The Windows malware dataset has been trained and tested by these three machine learning algorithms to get the percentage detection accuracy. …”
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The Use and Evaluation of Split-Window Techniques for NOAA/AVHRR Surface Temperature Extraction over Different Surface Covers: case study (Perak Tengah & Manjong) area, Malays...
Published 2011“…The brightness temperature from bands 4&5 was then used with ε to derive Ts using three different split window algorithms. The results showed a good correlation between satellite estimated Ts and measured Ta especially when Uliveri algorithm was applied over the agricultural area with R reaching 87%. …”
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A novel large-bit-size architecture and microarchitecture for the implementation of Superscalar Pipeline VLIW microprocessors
Published 2008“…Different adder architectures are investigated for suitability on synthesis implementation of large data bus size adder for efficient usage within the ALU. An adder algorithm using repetitive constructs in a parallel algorithm that allows for efficient and optimal synthesis for large data bus size is proposed as a suitable implementation for the adder within the ALU. …”
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Improving collection of data type evidence and the integrity of evidence collected using SHA-256 hashing algorithm for web browsers
Published 2024“…The use of the SHA-256 hash algorithm currently considered secure and resistant to collision attacks. …”
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Framework for stream clustering of trajectories based on temporal micro clustering technique
Published 2018“…However, it is a vital process for many applications such as traffic management, studying of animal behavior, and weather forecasting. Many existing algorithms for stream clustering of trajectory stream data exploit the time window technique which partition trajectory stream data into time-bins and cluster the segments in each timebin separately. …”
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Damage visualization based on frequency shift of single-mode ultrasound-guided wavefield
Published 2022“…Last but not least, the comparison of accuracy between frequency analysis algorithm and variable time window amplitude mapping (VTWAM) algorithm is performed. …”
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A voting-based hybrid machine learning approach for fraudulent financial data classification / Kuldeep Kaur Ragbir Singh
Published 2019“…The voting-based hybrid approach consisting of various machine learning models with the ability to tackle issues related to missing and imbalanced data is then developed. To evaluate the efficacy of the models, publicly available financial and credit card data sets are evaluated. …”
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Non-fiducial based electrocardiogram biometrics with kernel methods
Published 2017“…The highest window and subject predictive accuracies achieved are approximately 92% and 77% on KPCA data set with the lowest biometric error and overfitting. …”
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WBEC: A web browsers evidence collection toolkit for web browsers usage in Windows 10
Published 2022“…The amount of data type evidence collections and security measures to secure the integrity of evidence collected are measured by evaluating available tools, developing a proof-of-concept toolkit, and comparingfunctioning tools. …”
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An improved pixel-based and region-based approach for urban growth classification algorithms / Nur Laila Ab Ghani
Published 2015“…The new urban areas identified from the binary images are classified to their urban growth forms using moving window, topological relation border length and landscape expansion index algorithms. …”
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