بدائل البحث:
machine algorithm » cosine algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
tracking » training (توسيع البحث), taking (توسيع البحث)
machine algorithm » cosine algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
tracking » training (توسيع البحث), taking (توسيع البحث)
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Radar Pulse Interleaving For Multi-Target Tracking
منشور في 2020"…Interleaving algorithms developed to operate radars exploit the dead-times between the transmitted and the received pulses to allocate new tracking tasks that might involve transmitting or receiving pulses, thus increasing the capacity of the system. …"
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Optimum Track to Track Fusion Using CMA-ES and LSTM Techniques
منشور في 2024"…This paper presents two different methods for track-to-track fusion of drone tracks. The sensors are unbiased radars with fixed locations. …"
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Incremental and Heuristic Algorithms for Deriving Adaptive Distinguishing Test Cases for Nondeterministic Finite State Machines
منشور في 2017الموضوعات: "…Model Based Testing…"
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Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms
منشور في 2021"…We also developed a binary template matching-based algorithm, which gives 93.64% accuracy 6X faster. …"
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Power System Transient Stability Assessment Based on Machine Learning Algorithms and Grid Topology
منشور في 2023"…In this study, the emergency control algorithms based on ensemble machine learning algorithms (XGBoost and Random Forest) were developed for a low-inertia power system. …"
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Modified arithmetic optimization algorithm for drones measurements and tracks assignment problem
منشور في 2023"…In many cases, several radars are collectively used to track drones efficiently, generating measurements and several tracks under different circumstances. …"
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Parallel Algorithms for Distinguishing Nondeterministic Finite State Machines
منشور في 2015احصل على النص الكامل
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Bird’s Eye View feature selection for high-dimensional data
منشور في 2023"…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …"
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Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms
منشور في 2022"…The performance of three machine learning (ML) algorithms was assessed to predict the wild blueberry harvest losses on the ground. …"
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Resources Allocation for Drones Tracking Utilizing Agent-Based Proximity Policy Optimization
منشور في 2023"…This paper presents a reinforcement learning agent-based model that works by incorporating the MESA environment with the Stone Soup radar systems simulator. …"
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