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281
A Two-Step Projected Iterative Algorithm for Tropospheric Water Vapor Tomography
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282
Spatial and temporal distribution patterns and factors influencing hepatitis B in China: a geo-epidemiological study
Published 2025-04-01“…Spatiotemporal analysis of hepatitis B from a socioeconomic perspective is of great significance for reducing the disease burden, but there is still a relative lack of research. Methods The age-period-cohort model and spatial distribution maps describe the three-dimensional distribution characteristics of hepatitis B. …”
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283
Improving Mountainous DSM Accuracy Through an Innovative Opposite-Side Radargrammetry Algorithm
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284
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285
The Role of Landscape Metrics and Spatial Processes in Performance Evaluation of GEOMOD (Case Study: Neka River Basin)
Published 2017-09-01“…Besides, the model predicted the same spatial process. The results of this research showed that this method can produce comprehensive information with high performance from uncertainty of result accuracy. …”
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286
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287
A One-Stage HMDV Algorithm Applied in Multitarget Detection in SAR Images
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288
Motor imagery EEG signal classification using novel deep learning algorithm
Published 2025-07-01“…Abstract Electroencephalography (EEG) signal classification plays a critical role in various biomedical and cognitive research applications, including neurological disorder detection and cognitive state monitoring. …”
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289
Research on Cooperative Localization Method in Dynamic Networks
Published 2024-12-01“…These circumstances can result in a decrease in the accuracy of cooperative localization algorithms or even cause them to malfunction. In order to address the above problems, this paper carries out the research on cooperative localization method, and proposes the filtering method of adaptive adjustment of observation error covariance matrix and the fusion of the federated filtering method, which enables the cooperative localization system to work normally in the case of the change of anchor nodes and ordinary nodes among mobile nodes, the disappearance or emergence of ranging values between nodes, and the random access and exit of nodes, etc. …”
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290
Spatiotemporal correlation–based adaptive sampling algorithm for clustered wireless sensor networks
Published 2018-08-01“…Given this hypothesis, this article proposed an adaptive sampling algorithm based on temporal and spatial correlation of sensory data for clustered WSNs. …”
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291
The Effect of Applying 2D Enhancement Algorithms on 3D Video Content
Published 2014-01-01“…In this paper, we present research focused on the effect of applying enhancement algorithms used for 2D content on 3D side-by-side content. …”
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292
Inversion of permeability coefficient based on adaptive differential hybrid butterfly particle algorithm
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293
An Oil Painters Recognition Method Based on Cluster Multiple Kernel Learning Algorithm
Published 2019-01-01“…This paper proposes a cluster multiple kernel learning algorithm, which extracts oil painting features from three aspects: color, texture, and spatial layout, and generates multiple candidate kernels with different kernel functions. …”
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294
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An annual cropland extent dataset for Africa at 30 m spatial resolution from 2000 to 2022
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296
Energy-Efficient Fall-Detection System Using LoRa and Hybrid Algorithms
Published 2025-05-01Get full text
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297
A Robust Sidelobe Cancellation Algorithm Based on Beamforming Vector Norm Constraint
Published 2024-01-01“…Simulation results demonstrate comparable performance between our proposed method and existing techniques such as diagonal loading and spatial degrees-of-freedom control-based algorithms.…”
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298
3L-YOLO: A Lightweight Low-Light Object Detection Algorithm
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299
An Efficient Algorithm for Small Livestock Object Detection in Unmanned Aerial Vehicle Imagery
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300
Improved Real-Time SPGA Algorithm and Hardware Processing Architecture for Small UAVs
Published 2025-06-01“…This paper presents a non-iterative real-time Feature Sub-image Based Stripmap Phase Gradient Autofocus (FSI-SPGA) algorithm. The FSI-SPGA algorithm combines 2D Constant False Alarm Rate (CFAR) for coarse point selection and spatial decorrelation for refined point selection. …”
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