Search Results - "Hongbin LUO"
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A Survey of Caching Mechanisms in Information-Centric Networking
Published in IEEE Communications surveys and tutorials (01-01-2015)“…Information-Centric Networking (ICN) is a novel networking paradigm that attracts increasing research interests in recent years. In-network caching has been…”
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2
Effects of traditional Chinese exercise therapy on pain scores, sleep quality, and anxiety-depression symptoms in fibromyalgia patients: a systematic review and meta-analysis
Published in BMC musculoskeletal disorders (27-01-2024)“…This study aims to assess the effectiveness of traditional Chinese exercise therapy in alleviating pain, improving sleep quality, and reducing symptoms of…”
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3
A Gini Impurity-Based Interest Flooding Attack Defence Mechanism in NDN
Published in IEEE communications letters (01-03-2018)“…Interest flooding attacks (IFAs) seriously harm named data networking by overwhelming the pending interest table of a content router. In this letter, we…”
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4
Hierarchical Soft Slicing to Meet Multi-Dimensional QoS Demand in Cache-Enabled Vehicular Networks
Published in IEEE transactions on wireless communications (01-03-2020)“…Vehicular networks are expected to support diverse content applications with multi-dimensional quality of service (QoS) requirements, which cannot be realized…”
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5
An efficient method for estimating tropical forest canopy height from airborne PolInSAR data
Published in Ecological indicators (01-09-2024)“…•We explore simplified solution approaches for two temporal decorrelation models based on PolInSAR forest height estimation. Additionally, we investigate a…”
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The Human-Machine Interaction Methods and Strategies for Upper and Lower Extremity Rehabilitation Robots: A Review
Published in IEEE sensors journal (01-05-2024)“…The development of intelligent rehabilitation robots has greatly reduced the workload of rehabilitation physicians. Human-machine interaction (HMI) control…”
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High-density forest AGB estimation in tropical forest integrated with PolInSAR multidimensional features and optimized machine learning algorithms
Published in Ecological indicators (01-03-2024)“…•Multidimensional PolInSAR features can accurately estimate high-density forest AGB.•Feature selection using the RFECV method ensuresing estimation accuracy…”
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Caizhixuan hair tonic regulates both apoptosis and the PI3K/Akt pathway to treat androgenetic alopecia
Published in PloS one (24-02-2023)“…Caizhixuan hair tonic (CZX) is a topical traditional Chinese medicine (TCM) preparation for the treatment of androgenetic alopecia (AGA). However, its active…”
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Correcting Underestimation and Overestimation in PolInSAR Forest Canopy Height Estimation Using Microwave Penetration Depth
Published in Remote sensing (Basel, Switzerland) (01-12-2022)“…PolInSAR is an active remote sensing technique that is widely used for forest canopy height estimation, with the random volume over ground (RVoG) model being…”
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10
A Method for Forest Canopy Height Inversion Based on Machine Learning and Feature Mining Using UAVSAR
Published in Remote sensing (Basel, Switzerland) (01-11-2022)“…The mapping of tropical rainforest forest structure parameters plays an important role in biodiversity and carbon stock estimation. The current mechanism…”
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Improving Forest Canopy Height Estimation Using a Semi-Empirical Approach to Overcome TomoSAR Phase Errors
Published in Forests (01-07-2023)“…Forest canopy height is an important forest indicator parameter. Synthetic aperture radar tomography (TomoSAR) is an effective method to characterize forest…”
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A DHT-Based Identifier-to-Locator Mapping Approach for a Scalable Internet
Published in IEEE transactions on parallel and distributed systems (01-12-2009)“…It is commonly recognized that today's Internet routing and addressing system is facing serious scaling problems, which are mainly caused by the overloading of…”
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13
Novel mechanistic study of HDAC6 regulation of rheumatoid arthritis via CMA: exploring potential therapeutic targets
Published in Frontiers in pharmacology (21-03-2024)“…Rheumatoid arthritis (RA) is a systemic autoimmune disease. Its pathogenesis has not yet been clarified, so it is urgent to explore therapeutic targets. Here,…”
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14
Local Fast Reroute With Flow Aggregation in Software Defined Networks
Published in IEEE communications letters (01-04-2017)“…In this letter, we propose a local fast reroute (LFR) algorithm with flow aggregation in software defined networks (SDN). In LFR, if a link failure is…”
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Preventing DDoS attacks by identifier/locator separation
Published in IEEE network (01-11-2013)“…Identifier/locator separation is a promising solution to the current Internet scaling problems. In this article, we argue that identifier/location separation…”
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16
Improved random forest algorithms for increasing the accuracy of forest aboveground biomass estimation using Sentinel-2 imagery
Published in Ecological indicators (01-02-2024)“…•Accurately mapping forest AGB for large areas using images is challenging due to topographic complexity.•Random forest (RF) methods were compared for mapping…”
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Preventing Distributed Denial-of-Service Flooding Attacks With Dynamic Path Identifiers
Published in IEEE transactions on information forensics and security (01-08-2017)“…In recent years, there are increasing interests in using path identifiers (PIDs) as inter-domain routing objects. However, the PIDs used in existing approaches…”
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18
Age-constrained dynamic content replacing and delivering for UAV-assisted context awareness
Published in China communications (01-07-2022)“…In this work, we employ the cache-enabled UAV to provide context information delivery to end devices that make timely and intelligent decisions. Different from…”
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Comparison of variable extraction methods using surface field data and its key influencing factors: A case study on aboveground biomass of Pinus densata forest using the original bands and vegetation indices of Landsat 8
Published in Ecological indicators (15-12-2023)“…Insufficient sample data is a challenge when estimating forest aboveground biomass (AGB) using large-scale remote sensing. Extracting remote sensing…”
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An efficient and accurate deep learning method for tree species classification that integrates depthwise separable convolution and dilated convolution using hyperspectral data
Published in International journal of digital earth (31-12-2024)“…ABSTRACTAddressing accuracy and computational complexity challenges in hyperspectral image classification for small sample and multi-species scenarios, we…”
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