Search Results - intelligence time window algorithm
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Enhancement on the modified artificial bee colony algorithm to optimize the vehicle routing problem with time windows
Published 2022“…The proposed algorithm was evaluated using benchmark datasets comprising 56 VRPTW instances and 56 Pickup and Delivery Problems with Time Windows (PDPTW). …”
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Thesis -
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Network calculus-based latency for time-triggered traffic under Flexible Window-Overlapping Scheduling (FWOS) in a Time-Sensitive Network (TSN)
Published 2021“…Accordingly, more relaxed scheduling algorithms are required. In this paper, we introduce the flexible window-overlapping scheduling (FWOS) algorithm that optimizes the overlapping among TT windows by three different metrics: the priority of overlapping, the position of overlapping, and the overlapping ratio (OR). …”
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A study of frame timing synchronization for WiMAX applications
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Intelligent motion planning of a mobile robot by using convolutional neural network / Siti Asmah Abdullah
Published 2019“…Several algorithms are used to create the Windowing Grid in capturing the informative and relevant current position of the mobile robot. …”
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Thesis -
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Simulation and Visualization of TSP Using Ant Colony Optimization
Published 2023“…While naturally, it will require a significant amount of time and effort to finish a lot of complex work by hand such as TSP, one of the most exciting advances in software development is the discovery of optimization algorithms. …”
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Application of minimax algorithm in dots and boxes game
Published 2025“…The methodology involved implementing the Minimax algorithm as the primary decision-making engine for the AI. …”
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Hearing disorder detection using auditory evoked potential (AEP) signals
Published 2020“…Ten different statistical features have been extracted in ten different time window length (one second to ten seconds). The obtained feature sets have been classified by the K-Nearest Neighbors (K-NN) algorithm. …”
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Intelligent Fuzzy Classifier for Pre-Seizure Detection from Real Epileptic Data
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Intelligent Fuzzy Classifier for pre-seizure detection from real epileptic data
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The identification of oreochromis niloticus feeding behaviour through the integration of photoelectric sensor and logistic regression classifier
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Adaptive multi-parent crossover GA for feature optimization in epileptic seizure identification
Published 2019“…The proposed approach in this work tends to tackle the multiple EEG channels problem by segmenting the EEG signals in the frequency domain based on changing spikes rather than the traditional time based windowing approach. While to reduce the overall dimensionality and preserve the class-dependent features an optimization approach is used. …”
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Auditory Evoked Potentials (AEPs) Response Classification: A Fast Fourier Transform (FFT) and Support Vector Machine (SVM) Approach
Published 2022“…The maximum classification accuracy of the developed SVM model with FFT feature was observed 95.29% (10 s time windows) which clearly indicates that the method provides a very encouraging performance for detecting the AEPs responses..…”
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