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801
Bayesian Estimation of the Axial Position in Astigmatism-Based Three-Dimensional Particle Tracking
Published 2009-01-01“…Accurate estimation of the axial position of a molecule using a single lateral image remains a challenge in fluorescent single particle tracking. Here, a principled algorithm for the Bayesian estimation of the axial position of a molecule in three-dimensional astigmatism-based particle tracking is proposed. …”
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802
Hybridisation of artificial neural network with particle swarm optimisation for water level prediction
Published 2023-08-01“…This study applies an artificial neural network (ANN) integrated with the particle swarm optimisation algorithm (PSO-ANN) for simulating monthly WL of the Tigris River in Alkut City, Iraq. …”
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803
Multitarget Tracking by Particle Filtering Based on RSS Measurement in Wireless Sensor Networks
Published 2015-05-01“…We propose an algorithm for multitarget tracking by particle filtering in wireless sensor networks based on received signal strength (RSS) measurement where we also localize a newly appearing target whose location and reference power are unknown. …”
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804
Array Pattern Synthesis Using Particle Swarm Optimization with Dynamic Inertia Weight
Published 2016-01-01“…A Feedback Particle Swarm Optimization (FPSO) with a family of fitness functions is proposed to minimize sidelobe level (SLL) and control null. …”
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805
Optimizing an image analysis protocol for ocean particles in focused shadowgraph imaging systems
Published 2025-07-01“…To improve reconstruction of particles captured by Focused Shadowgraph Imaging (FoSI)—a system that excels at visualizing low-optical-density objects, we developed a novel object detection algorithm to process images with a resolution of ~ 12 μm per pixel. …”
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806
Theoretical investigations of snow particles movement in vertical feeder of rotary snow blower
Published 2023-03-01“…A comparison is made between the shock pulse and the pulse of the normal reaction of a vertical wall. An algorithm for determining the motion of a snow particle in the presence of one non-retaining bond and taking into account its impact is proposed.…”
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807
Particle Morphology Analysis of Biomass Material Based on Improved Image Processing Method
Published 2017-01-01“…In addition, an image segmentation algorithm based on particle geometrical information was proposed to recognise the finer clustered powders. …”
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808
A hybrid ensemble framework with particle swarm optimization for network anomaly detection
Published 2025-08-01“…We propose an adaptive particle swarm optimization (PSO)-optimized ensemble learning framework tailored to address these challenges in modern IDS applications. …”
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809
Polarimetric Identification of 3D-Printed Nano Particle Encoded Optical Codes
Published 2020-01-01“…Recently, this concept was extended to optical codes: we demonstrated that the combined use of optical techniques and machine learning algorithms might be able to distinguish among different classes of samples. …”
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810
Impact of Particle Sizes on Flow Characteristics of Slurry Pump for Deep-Sea Mining
Published 2021-01-01“…In order to grasp the particle motion law inside the slurry pump, this paper took into consideration the collision effects of the particles with particles and particles with walls and calculated the unsteady flow of the solid-liquid two-phase by CFD-DEM coupling algorithm. …”
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811
Particle Filter Tracking System Based on Digital Zoom and Regional Image Measure
Published 2025-01-01“…To capture target changes effectively, we introduce the multi-scale regional measure and propose an improved particle filter algorithm, referred to as the improved multi-scale regional measure resampling particle filter (IMR-PF). …”
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812
Crushing Force Prediction Method of Controlled-Release Fertilizer Based on Particle Phenotype
Published 2024-12-01“…A particle swarm optimization–support vector machine (PSO-SVM) model was then developed to predict the crushing force based on fertilizer shape features. …”
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813
Numerical Investigation and Optimization of Transpiration Cooling Plate Structures with Combined Particle Diameter
Published 2025-06-01“…Further optimization with the multi-objective genetic algorithm (MOGA) determines the optimal structural parameters. …”
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814
Forward-backward box smoothing with quantized measurements
Published 2022-05-01“…Specifically, a novel forward-backward box particle smoothing algorithm is proposed. In the forward pass, the algorithm iterates with standard box particle filter. …”
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815
Reconstructing 3D Tree Models Using Motion Capture and Particle Flow
Published 2013-01-01“…The particle flow, starting at branch tips within the bounding volume under forces, creates tree branches. …”
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816
Macro-microscopic study on the damage threshold strain of particle-filled polymer composites
Published 2025-04-01“…This study proposes a damage threshold strain prediction model for typical particle filled polymer composites (composite solid propellants) based on the theory of particle inclusion micromechanics. …”
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817
Enhancement of GPU-accelerated smoothed particle hydrodynamics (SPH) method with dynamic parallelism
Published 2025-09-01“…Within this framework, the neighboring particle search and particle interaction computations in SPH are parallelized on the GPU architectures. …”
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818
Multi-objective Path Planning for AUVs Based on Improved Whale Optimization Algorithms and Fluid Disturbance Algorithms
Published 2025-06-01“…Simulation results demonstrate that the proposed algorithm reduces the average path length by 15.4% and 7.5% compared to traditional genetic algorithm and particle swarm optimization, respectively, while improving computational efficiency by 45.5% and 16.8%.…”
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819
Hybrid statistical-algorithmic approach using the frog algorithm to optimize blast patterns for reducing blast vibrations
Published 2025-12-01“…By combining a statistical model with the frog algorithm, the method achieves enhanced accuracy and efficiency. …”
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820
A Differential Evolution Based MPPT Method for Photovoltaic Modules under Partial Shading Conditions
Published 2014-01-01“…The direction of mutation in the DE algorithm is modified to ensure that the mutation always converges to the best solution among all the particles in the generation. …”
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