Is this you? Claim this profile to correct it, add a bio and choose the work people see first.
Claim this profileWorks102 from public data
- 187
- 170
- Gradient-based Parameter Estimation for a Nonlinear Exponential Autoregressive Time-series Model by Using the Multi-innovation127
A forgetting factormulti-innovation stochastic gradient algorithm derived by using the multi-inn innovation theory for improving the estimation accuracy and the effectiveness of the proposed algorithms is proved.
- Cross-SRN: Structure-Preserving Super-Resolution Network With Cross Convolution83
A hierarchical feature exploitation network to probe and preserve structural information in a multi-scale feature fusion manner, invoking a lightweight structure-preserving network named as Cross-SRN, which outperforms the state-of-the-art methods on the selected benchmark.
- Exposing video inter-frame forgery by Zernike opponent chromaticity moments and coarseness analysis71
A novel video forgery detection algorithm for detecting an inter-frame forgery based on Zernike opponent chromaticity moments and a coarseness feature analysis by matching from the coarse-to-fine models is put forward.
- 57
- Contrasting Biogeographic Patterns of Bacterial and Archaeal Diversity in the Top- and Subsoils of Temperate Grasslands45
Compared patterns and drivers of microbial alpha and beta diversity in and between topsoils and subsoils of temperate grasslands in Inner Mongolia of China are compared, finding contrasting biogeographic patterns of diversity and influencing factors for different bacterial and archaeal groups and between depths.
- 40
- Iterative Network for Image Super-Resolution39
A novel iterative super-resolution network (ISRN) is proposed on top of the iterative optimization of conventional SISR algorithm, and a feature normalization (F-Norm, FN) method to regulate the features in network is proposed.
- 35
- 31
- 28
- Rec-GPT4V: Multimodal Recommendation with Large Vision-Language Models27
This work proposes the novel reasoning scheme named Rec-GPT4V: Visual-Summary Thought (VST) of leveraging large vision-language models for multimodal recommendation and conducts comprehensive experiments across four datasets with three LVLMs, indicating the efficacy of VST.
- Effects of Soil Properties and Microbiome on Highbush Blueberry (Vaccinium corymbosum) Growth26
The growth of blueberry was significantly related to soil organic matter, soil enzyme activity and soil microbial community diversity, and the flavonoids were correlated positively with soil fungi abundance.
- Semi-online scheduling on two identical machines with a common due date to maximize total early work26
This paper proves a tight bound 6 5 for scheduling jobs with a common due date when assuming that the total processing time of all jobs, or, the optimal criterion value is known in advance.
- An Improved Tuna-YOLO Model Based on YOLO v3 for Real-Time Tuna Detection Considering Lightweight Deployment22
A Tuna-YOLO, which is a lightweight object detection network for mobile devices based on YOLOv3, which provides a basis for subsequent deployment of algorithms to mobile devices and real-time catch statistics.
- 20
- Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation17
Time-aware Hyperbolic Graph Attention Network (TA-HGAT) is proposed — a novel hyperbolic graph neural network framework to build a session-based recommendation model considering temporal information that has the best performance compared to ten baseline models on two real-world datasets.
- 17
- 16
- Rising Star Forecasting Based on Social Network Analysis16
StarRank is proposed, which is an improved PageRank method to calculate the initial values of rising stars, construct the social network via explicit and implicit links, and apply the neural network to predict scholars’ rankings in the future.
- A novel video forgery detection algorithm for blue screen compositing based on 3-stage foreground analysis and tracking16
A 3-stage Foreground Analysis and Tracking algorithm (3FAT) to detect blue screen compositing and can not only rule out the distractions of noise and other moving foregrounds, but also be applied to any video format, bit rate and encoding mechanism.
- Hierarchical Similarity Learning for Aliasing Suppression Image Super-Resolution15
The self-similarity is considered and a hierarchical image super-resolution network (HSRNet) is proposed to suppress the influence of aliasing and the experimental result shows that HSRNet achieves better quantitative and visual performance than other works and remits the aliasing more effectively.
- Coupling Deep Textural and Shape Features for Sketch Recognition15
This paper explicitly explores the shape properties of sketches, which has almost been neglected before in the context of deep learning, and proposes a sequential dual learning strategy that combines both shape and texture features.
- Possibilistic C-means with novel image representation for image segmentation12
The proposed VBPCM algorithm incorporates neighborhood information and uses a vector representation method to describe image pixels and outperforms the conventional PCM, obtaining uplifiting gains of 4%, 2%, and 9% in Pixel Accuracy, Mean Pixel Accuracy, and Mean Intersection over Union, respectively.
- 12
- 10
- Genomics assisted functional characterization of Bacillus velezensis E as a biocontrol and growth promoting bacterium for lily10
Results demonstrate that B. velezensis strain E can be used as a potential biofertilizer and biocontrol agent for lily production.
- Sequential Hierarchical Learning with Distribution Transformation for Image Super-Resolution10
This article builds a sequential hierarchical learning super-resolution network (SHSR) for effective image SR, considers the inter-scale correlations of features, and devise a sequential multi-scale block (SMB) to progressively explore the hierarchical information.
- Visuospatial working memory capacity moderates the relationship between anxiety and OCD related checking behaviors9
Anxiety symptoms play an important role in explaining compulsive checking behavior in patients with OCD who have relatively weak visuospatial working memory ability, and these findings provide a foundation for further research regarding the roles of emotion and cognitive inflexibility in compulsive Checking behavior in Patients with OCD.
- 9
- Building Electricity Prediction Using BILSTM-RF-XGBOOST Hybrid Model with Improved Hyperparameters Based on Bayesian Algorithm8
This study proposes a novel hybrid model trained with Bayesian optimization, analyzing the influence of various feature factors, and providing innovative technological solutions for building energy consumption prediction, which provides theoretical value and guidance for low-carbon building energy management and application.
- 8
- MIPI 2023 Challenge on RGBW Remosaic: Methods and Results8
This paper summarizes and reviews the RGBW Joint Remosaic and Denoise track on MIPI 2023, and describes the top three models developed in this challenge.
- 8
- 8
- An image localization system based on gradient Hough transform8
An image localization system based on Gradient Hough Transform applied in circular device detection and localization in industrial control aimed to correcting the mechanical deviation by using image localization.
- Diagnostic test of bioimpedance-based neural network algorithm in early cervical cancer7
The bioimpedance method was an intelligent method with relative good sensitivity and specificity in distinguishing benign cervical tissue and precancerous lesions and can therefore be used as an adjunctive test to colposcopy to improve the detection of cervical lesions.
- 7
- 6
- Enhanced Tuna Detection and Automated Counting Method Utilizing Improved YOLOv7 and ByteTrack6
The automatic tuna counting approach based on ByteTrack and YOLOv7-Tuna can effectively accomplish automatic counting tasks for tuna, providing a new solution for the automatic quantification of catch in the offshore fishing industry.
- Fall Detection Based on Graph Neural Networks with Variable Time Windows6
A fall detection approach that uses a graph convolutional neural network (GCN) with variable time windows (T-GCN) with variable time windows that achieves an accuracy of 91.3% and a precision of 92.5%, surpassing the average accuracy and precision of conventional fall detection methods.
- 6
- Immobilization of cadmium in soil and improved iron concentration and grain yields of maize (Zea mays L.) by chelated iron amendments6
In general, the application of EDTANa2Fe and EDDHAFe at dose of 53 mg/kg can effectively immobilize Cd in soil and reduce Cd accumulation in maize and improve Fe uptake in grains.
- The cryptic step in the biogeochemical tellurium (Te) cycle: Indirect elementary Te oxidation mediated by manganese-oxidizing bacteria Bacillus sp. FF-15
A new transformation process of tellurium species mediated by manganese-oxidizing bacteria is highlighted, revealing that the environmental fate and ecological risks of Te0 need to be re-evaluated.
- 5
- 5
- 5
- Structural basis for Salmonella infection by two Microviridae phages4
Cryo-EM structures of two Microviridae phages reveal unique vertex stabilization and host-binding mechanisms, offering insights into phage specificity and guiding design against multidrug-resistant bacteria.
- Multi‐Scale Transformer for Image Restoration4
A multiscale Transformer (MST) that captures cross‐scale attention among tokens, thereby effectively leveraging the multiscale patch recurrence prior of natural images is proposed and a channel‐gate feed‐forward network (CGFN) is introduced to enhance inter‐channel information aggregation and reduce channel redundancy.
- Marker‐less augmented reality based on monocular vision for falx meningioma localization4
The existing augmented reality (AR) based neuronavigation systems typically require markers and additional tracking devices for model registration, which causes excessive preparatory steps.
- Adaptive Residual Channel Attention Network for Single Image Super-Resolution4
The limitation of residual connection structure is analyzed and an adaptive design for suitable feature fusion is proposed and a novel adaptive residual channel attention block (ARCB) is proposed in this paper with channel attention and adaptive connection.
- Non-lethal heat shock enhances the immune response of Procambarus clarkii hemocytes to Vibrio parahaemolyticus through the HSP90 gene family3
Protein interaction and co-expression analyses revealed HSP90 proteins interact with innate immune proteins and collaborate with TLR pathway members, indicating HSP90 genes play a key role in anti-pathogen mechanisms.
- 3
- 3
- Learning Weighting Map for Bit-Depth Expansion within a Rational Range3
Experimental results show the bit restoration network (BRNet) can restore colorful images with fewer artifacts and false contours, and outperforms state-of-the-art methods with higher PSNR/SSIM results and lower Wasserstein distance.
- A Novel Fuzzy Logic System with Consequents as Fuzzy Weighted Averages of Antecedents3
A novel fuzzy logic system named FWA with novel rules is proposed, in which the consequents are fuzzy weighted averages of antecedents, to reduce training time, improve training efficiency, and optimize parameters faster.
- 3
- The association of activity patterns on female reproductive diseases: a prospective cohort study of UK biobank2
Morning and mixed MVPA timing groups, but not evening group, were associated with decreased risks for female reproductive diseases and PCOS, and it was found that women with mixed MVPA timing exercise had a lower risk of HMB, compared with the reference group.
- Static Force Prediction: Comparative Analysis and Fusion Strategies Between Surface Electromyography and Electrical Impedance Myography2
Self-Attention Convolutional Long Short-Term Memory (SACLSTM) network is proposed to capture the spatio-temporal information among EIM and sEMG features for cross-modal feature fusion, emphasising the great potential of fusing EIM and sEMG features to improve performance in the muscle force prediction.
- 2
- Textural-Perceptual Joint Learning for No-Reference Super-Resolution Image Quality Assessment2
This paper designs a dual stream network to jointly explore the textural and structural information for quality prediction, dubbed TSNet, and develops the spatial attention mechanism to make the visual-sensitive areas more distinguishable, which improves the prediction accuracy.
- Multilevel Feature Exploration Network for Image Superresolution2
Experimental results show the proposed MFSR can restore more correct edges and lines and achieves both better objective and subjective performances than the state-of-the-art methods with higher PSNR/SSIM results, indicating the effectiveness on structural information restoration.
- Self-Adaptive Correction of Heading Direction in Stair Climbing for Tracked Mobile Robots Using Visual Servoing Approach2
The experimental results show that the ensemble heading deviation detector is able to enable the mobile robot to correct its heading direction adaptively while it is climbing the stairs.
- Relationship between biological ageing, premature mortality, life expectancy, and number of live births: a prospective cohort study of the UK women1
There was a U-shaped relationship between the number of live births and the biological ageing, premature mortality and life expectancy of women and it is recommended that healthcare providers focus on guiding women towards a balanced reproductive strategy that optimizes both health outcomes and longevity.
- 1
- 1
- 1
- Advances in Neuroimaging of Breast Cancer Pain: An Overview1
This review synthesizes findings on functional and structural brain changes related to chronic pain in breast cancer and compares them with non-cancer chronic pain patterns and proposes a conceptual framework to advance the understanding of pain mechanisms.
- Understanding and addressing the global impact: A systematic review and cross-sectional bibliometric analysis of Langya henipavirus and pre-existing severe henipaviruses1
An overview of the scientific landscape, highlights research focus areas, and outlines potential future investigations is provided, highlighting key players, trends, and future directions of henipavirus research.
- 1
- 1
- ISTA-Inspired Network for Image Super-Resolution1
Experimental results show the proposed ISTA-inspired restoration network (ISTAR) achieves competitive or better performances than other optimization-inspired works with fewer parameters and lower computation complexity.
- 1
- A New Mining and Protection Method Based on Sensitive Data1
Theoretical analysis and experimental results show that the algorithm can effectively mine the sensitive data in the data stream and can effectively protect thesensitive data.
- Computing Derivatives in Fuzzy Logic Systems with Consequents as Fuzzy Weighted Averages of Antecedents1
This paper provides mathematical formulas for computing the derivatives of trapezoidal membership functions used in fuzzy logic system FWA.
- Edge Detection for Color Medical Image Based on Quaternion and SOFM-NN1
A novel edge detection method for color medical images that combines the self-organizing feature map (SOFM) neural network and quaternion and an edge characteristic vector has been constructed.
- 1
- –
- Association of a Physician–Nurse Collaborative Multimodal Analgesic Pathway with Early Pain Trajectories and Institution-Recorded Opioid Use After Total Knee Arthroplasty: A Propensity Score-Matched Retrospective Cohort Study–
The bundled physician–nurse collaborative pathway was associated with lower early pain scores, reduced institution-recorded opioid exposure, and less continued opioid prescribing after TKA.
- –
- –
- Shear Resistance Prediction of Angle Connectors Using Machine Learning–
Predicting the shear resistance of angle shear connectors using Support Vector Regression, Artificial Neural Networks, and Gradient Boosting Decision Trees revealed insight into the relationships between key parameters and shear resistance.
- –
- –
- –
- –
- –
- The cryptic step in biogeochemical Tellurium (Te) cycle: Indirect elementary Te oxidation mediated by manganese-oxidizing bacterium (MnOB)–
A previously overlooked Te0 oxidation process mediated by manganese-oxidizing bacterium Bacillus sp.
- –
- –
- –
- Indoor image matching algorithm based on improved SIFT algorithm–
An improved SIFT algorithm for image matching is proposed, choosing Junction feature which is more suitable for indoor structure, and combining with the improved CPW energy function method to eliminate mismatching points.
- –
- Research on Situation System Based on Big Data Image -- Taking Road Traffic as an Example–
Based on convolution neural network, object class awareness is carried out, Relu is selected as the activation function, which speeds up the training speed and overcomes the problem of gradient disappearance.
- Persistence Equivalence of Discrete Morse Functions on Trees–
An upper bound for the number of persistence equivalent discrete Morse functions on a fixed graph is computed and it is shown that this upper bound is sharp in the case where the authors' graph is a tree.
- –
- Design and Simulation of a Voltage-frequency-conversion Experiment Circuit–
The structure design and working principle of a new and low-cost voltage-frequency-conversion circuit based on 555 timer is discussed in detail and simulation results show that the circuit designed is of its stability, linearity and correctness in voltage- frequencies transformation.
- –
- –
- Distributed Plume Source Localization Using Hierarchical Sensor Networks–
Simulation results show that localization algorithm is efficient for estimating the plume source location of hierarchical wireless sensor networks.
- –
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-14. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
Report an error
Wrong papers, two people merged into one, or a profile that should not be here? Tell us and we will fix or hide it.