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861
Risk-Aware Reinforcement Learning Framework for User-Centric O-RAN
Published 2025-01-01“…We investigate and identify UC-RAN COPs that can be optimized via a soft actor-critic algorithm implementable as an O-RAN application (rApp) to jointly maximize latency satisfaction, reliability satisfaction, area spectral efficiency, and energy efficiency. …”
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862
A Radio-interferometric Imaging Method Based on the Wavelet Tight Frame
Published 2025-01-01“…To enhance computational efficiency, we employ the projected fast iterative soft-thresholding algorithm for solving the l _1 -norm minimization problem. …”
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863
A Broad Range Triboelectric Stiffness Sensor for Variable Inclusions Recognition
Published 2023-10-01“…The proposed sensor system can identify the multi-layer stiffness structure of objects, enabling effective recognition of variable inclusions in soft objects with an accuracy of 99.7%.…”
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864
The application of virtual reality and augmented reality in dentistry – a literature review
Published 2024-05-01“…The current advances use the application of VR, haptic simulators, the use of an AI algorithm and many more that provides new opportunities for smart learning and enhance the teaching environment. …”
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865
Electric Vehicle Energy Management Under Unknown Disturbances from Undefined Power Demand: Online Co-State Estimation via Reinforcement Learning
Published 2025-07-01“…Comparative evaluations are conducted against two benchmark controllers: one designed to maintain a constant state of charge and another based on a soft actor–critic learning algorithm.…”
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866
Self-Powered Microsystem for Ultra-Fast Crash Detection via Prestressed Triboelectric Sensing
Published 2025-01-01“…To further extend the functionality of the device, we designed a lightweight collision target classification algorithm using ensemble learning and feature importance analysis, which could accurately distinguish between automotive collisions with hard, brittle, and soft materials. …”
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867
Grid-PPPS: A Skyline Method for Efficiently Handling Top-k Queries in Internet of Things
Published 2014-01-01“…The representative skyline methods are soft-filter-skyline (SFS) algorithm, angle-based space partitioning (ABSP), and plane-project-parallel-skyline (PPPS). …”
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868
Isolated Syndesmotic Fixation is Associated with Increased Risk of Arthrodesis and Arthroplasty Operations Compared to Nonoperatively Managed Syndesmotic Injury: A Propensity-Score...
Published 2024-12-01“…Patients who underwent surgical stabilization were matched using a propensity scoring algorithm to patients who were managed nonoperatively. …”
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869
A dictionary learning approach with overlap for the low dose computed tomography reconstruction and its vectorial application to differential phase tomography.
Published 2014-01-01“…X-ray based Phase-Contrast Imaging (PCI) techniques have been demonstrated to enhance the visualization of soft tissues in comparison to conventional imaging methods. …”
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870
Fluid flow characteristics estimation of a new integrated bifluid/airbased photovoltaic thermal system utilizing a hybrid optimization method
Published 2025-01-01“…For the reliability of the proposed algorithm, the mean absolute percentage error was used for error estimation detection. …”
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871
THOR2: Topological Analysis for 3D Shape and Color‐Based Human‐Inspired Object Recognition in Unseen Environments
Published 2025-04-01“…These color regions, analogous to the MacAdam ellipses identified in human color perception, are obtained using the Mapper algorithm, a topological soft‐clustering technique. …”
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872
Charging Station Management Strategy for Returns Maximization via Improved TD3 Deep Reinforcement Learning
Published 2022-01-01“…To handle increasingly complex regulation scenarios, a deep reinforcement learning algorithm (DRL) based on the improved twin delayed deep deterministic policy gradient (TD3) is used to construct basic energy management strategies in this paper. …”
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873
Two-stage deep reinforcement learning method for agile optical satellite scheduling problem
Published 2024-11-01“…A neural network is designed as the observation scheduling network to determine observation actions for the sequenced tasks, which is well trained by the soft actor-critic algorithm. Finally, extensive experiments show that the proposed method, along with the designed mechanisms and strategy, is superior to comparison algorithms in terms of solution quality, generalization performance, and computation efficiency.…”
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874
EFFICIENCY OF RAW GLUTEN CONTENT PREDICTION IN WHEAT KERNELS
Published 2019-09-01“…There have been developed and presented an algorithm and results of testing the predictive capabilities of the equation based on independent data. …”
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875
Effects of soil heterogeneity on the nonlinear response of highway bridges and conditionally simulated spatial variable movements
Published 2025-06-01“…(Earthq Eng & Eng Vib 2015) using the simulation algorithm of Vanmarcke et al. (Journal of Engineering Mechanics 1993). …”
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876
Accuracy-Aware MLLM Task Offloading and Resource Allocation in UAV-Assisted Satellite Edge Computing
Published 2025-07-01“…To address the dynamic SEC environment characterized by satellite mobility, we propose an action-decoupled soft actor–critic (AD-SAC) algorithm with discrete–continuous hybrid action spaces. …”
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877
The utility of robotic-assisted surgery in total knee arthroplasty for moderate and severe valgus deformities: a case series
Published 2025-02-01“…Its advantage lies in the soft tissue algorithms. Presently, there is paucity of information on the use of robotic-assisted TKA in addressing moderate and severe valgus deformities. …”
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878
Intelligent methods for active noise and vibration control
Published 2004-01-01“…The paper shows that the potential benefits of the individual components can be exploited and approaches for design and development of hybrid soft-computing algorithms devised for modelling and control of dynamic systems. …”
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879
Continuum topological derivative - A novel application tool for segmentation of CT and MRI images
Published 2024-09-01“…In this study, we have implemented the CTD denoising algorithm to produce denoised CT/MR images, serving as ground truth for subsequent segmentation steps. …”
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880
Monitoring soil salinization in Arid cotton fields using Unmanned Aerial Vehicle hyperspectral imagery
Published 2025-06-01“…Fractional-order differentiation (FOD) technology was used for spectral preprocessing, combined with the random frog algorithm (RF), uninformative variable elimination (UVE), and bootstrap soft shrinkage (BOSS) selection algorithms to optimize one-dimensional spectral bands. …”
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