Pengfei Zhu
YOU?
Author Swipe
View article: Research on Fouling Shellfish on Marine Aquaculture Cages Detection Technology Based on an Improved Symmetric Faster R-CNN Detection Algorithm
Research on Fouling Shellfish on Marine Aquaculture Cages Detection Technology Based on an Improved Symmetric Faster R-CNN Detection Algorithm Open
The development of detection and identification technologies for biofouling organisms on marine aquaculture cages is of paramount importance for the automation and intelligence of cleaning processes by Autonomous Underwater Vehicles (AUVs)…
View article: Evaluating the effects of urbanization on land use and landscape patterns in southern China (1990–2020)
Evaluating the effects of urbanization on land use and landscape patterns in southern China (1990–2020) Open
Evaluating the effects of urbanization on land use and landscape patterns is crucial for protecting resources and promoting environmental sustainability. This study examined urbanization in southern China from 1990 to 2020, focusing on urb…
View article: Evolutionary selection of trimethoprim-resistant <i>dfrA</i> genes in lytic phages affects phage and host fitness during infection
Evolutionary selection of trimethoprim-resistant <i>dfrA</i> genes in lytic phages affects phage and host fitness during infection Open
Temperate phages and prophages are well-known carriers of antibiotic resistance genes (ARGs) facilitating their transmission. In contrast, lytic phages rarely harbor functional ARGs. However, by a lenient threshold search strategy combined…
View article: A novel IR-SRGAN assisted super-resolution evaluation of photothermal coherence tomography for impact damage in toughened thermoplastic CFRP laminates under room temperature and low temperature
A novel IR-SRGAN assisted super-resolution evaluation of photothermal coherence tomography for impact damage in toughened thermoplastic CFRP laminates under room temperature and low temperature Open
Evaluating impact-induced damage in composite materials under varying temperature conditions is essential for ensuring structural integrity and reliable performance in aerospace, polar, and other extreme-environment applications. As matrix…
View article: A combined model integrating deep learning, radiomics, and clinical ultrasound features for predicting BRAF V600E mutation in papillary thyroid carcinoma with Hashimoto’s thyroiditis
A combined model integrating deep learning, radiomics, and clinical ultrasound features for predicting BRAF V600E mutation in papillary thyroid carcinoma with Hashimoto’s thyroiditis Open
Objective This study aims to develop an integrated model that combines radiomics, deep learning features, and clinical and ultrasound characteristics for predicting BRAF V600E mutations in patients with papillary thyroid carcinoma (PTC) co…
View article: Multimodal ultrasound radiomics containing microflow images for the prediction of central lymph node metastasis in papillary thyroid carcinoma
Multimodal ultrasound radiomics containing microflow images for the prediction of central lymph node metastasis in papillary thyroid carcinoma Open
Objectives This study aimed to construct a model by applying radiomics and machine learning (ML) to multimodal ultrasound images (including grayscale, elastography and microflow images) along with clinical data to predict central lymph nod…
View article: High-Frequency Prior-Driven Adaptive Masking for Accelerating Image Super-Resolution
High-Frequency Prior-Driven Adaptive Masking for Accelerating Image Super-Resolution Open
The primary challenge in accelerating image super-resolution lies in reducing computation while maintaining performance and adaptability. Motivated by the observation that high-frequency regions (e.g., edges and textures) are most critical…
View article: Sulphoaluminate-Aluminate Cement-Based Composites: Mechanical Behaviors and Negative Poisson’s Ratio Mechanism Under Static Loads
Sulphoaluminate-Aluminate Cement-Based Composites: Mechanical Behaviors and Negative Poisson’s Ratio Mechanism Under Static Loads Open
Because of their excellent properties, calcium aluminate cement (CAC) and sulphoaluminate cement (SAC), as building materials, have been used in infrastructure construction. However, due to the defects in microstructure, their application …
View article: 3D Lead‐Free Double Perovskite via Anchoring A‐Site Cation for Ultralow Dose and Stable X‐Ray Detection
3D Lead‐Free Double Perovskite via Anchoring A‐Site Cation for Ultralow Dose and Stable X‐Ray Detection Open
3D lead‐free hybrid double perovskites exhibit remarkable potential for direct X‐ray detection owing to their strong photon attenuation capabilities, efficient charge mobility, and low‐cost fabrication. However, the development of new 3D d…
View article: Enhanced wheat yield and flag leaf physiology in saline-alkali soils using modified straw water-retaining agent
Enhanced wheat yield and flag leaf physiology in saline-alkali soils using modified straw water-retaining agent Open
The application of water-retaining agent is one of the hot spots in current agricultural production. In this study, crop straw was modified as one of the raw materials of water-retaining agent to make modified straw water-retaining agent. …
View article: Unusual Thermo‐Enhanced Second Harmonic Generation in Organic Configurationally‐Locked Polyene Crystals
Unusual Thermo‐Enhanced Second Harmonic Generation in Organic Configurationally‐Locked Polyene Crystals Open
To modulate nonlinear optical (NLO) effects of crystalline material holds great application potential in the photoelectronic and optical fields. Organic configurationally‐locked polyene represents an exciting NLO family with large second h…
View article: Predicting Central Lymph Node Metastasis in Papillary Thyroid Carcinoma Using a Fusion Model of Vision Transformer and Traditional Radiomics Based on Dynamic Dual-Modality Ultrasound
Predicting Central Lymph Node Metastasis in Papillary Thyroid Carcinoma Using a Fusion Model of Vision Transformer and Traditional Radiomics Based on Dynamic Dual-Modality Ultrasound Open
Objective This study aimed to develop a novel fusion model based on dynamic dual-modality with B-mode ultrasound and superb microvascular imaging (SMI), combining Vision Transformer (ViT) and radiomics features to predict central lymph nod…
View article: SelfDRSC++: Self-Supervised Learning for Dual Reversed Rolling Shutter Correction
SelfDRSC++: Self-Supervised Learning for Dual Reversed Rolling Shutter Correction Open
Modern consumer cameras commonly employ the rolling shutter (RS) imaging mechanism, via which images are captured by scanning scenes row-by-row, resulting in RS distortion for dynamic scenes. To correct RS distortion, existing methods adop…
View article: Data analysis and inflection point generation algorithm for RPN intermediate range detectors in active nuclear power plants
Data analysis and inflection point generation algorithm for RPN intermediate range detectors in active nuclear power plants Open
The nuclear reactor measurement system is a crucial component of the nuclear measurement system in a nuclear power plant. Its primary function is to measure the power distribution within the reactor core using detectors, calibrate, and pro…
View article: Visible and Clear: Finding Tiny Objects in Difference Map
Visible and Clear: Finding Tiny Objects in Difference Map Open
Tiny object detection is one of the key challenges in the field of object detection. The performance of most generic detectors dramatically decreases in tiny object detection tasks. The main challenge lies in extracting effective features …
View article: An aid diagnostic platform to detect the transition of mild cognitive impairment (MCI) to Alzheimer's disease (AD) based on 48,116 AD and MCI patients
An aid diagnostic platform to detect the transition of mild cognitive impairment (MCI) to Alzheimer's disease (AD) based on 48,116 AD and MCI patients Open
Alzheimer's disease (AD) is an incurable, progressive neurodegenerative disorder, necessitating early diagnosis and intervention. Mild cognitive impairment (MCI) often precedes AD, but not all cases progress to AD, emphasizing the need for…
View article: AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning Open
Recently, pre-trained vision-language models (e.g., CLIP) have shown great potential in few-shot learning and attracted a lot of research interest. Although efforts have been made to improve few-shot ability of CLIP, key factors on the eff…
View article: An aid diagnostic platform to detect the transition of mild cognitive impairment (MCI) to Alzheimer's disease (AD) based on 48,116 AD and MCI patients
An aid diagnostic platform to detect the transition of mild cognitive impairment (MCI) to Alzheimer's disease (AD) based on 48,116 AD and MCI patients Open
Alzheimer's disease (AD) is an incurable, progressive neurodegenerative disorder, necessitating early diagnosis and intervention. Mild cognitive impairment (MCI) often precedes AD, but not all cases progress to AD, emphasizing the need for…
View article: An aid diagnostic platform to detect the transition of mild cognitive impairment (MCI) to Alzheimer's disease (AD) based on 48,116 AD and MCI patients
An aid diagnostic platform to detect the transition of mild cognitive impairment (MCI) to Alzheimer's disease (AD) based on 48,116 AD and MCI patients Open
Alzheimer's disease (AD) is an incurable, progressive neurodegenerative disorder, necessitating early diagnosis and intervention. Mild cognitive impairment (MCI) often precedes AD, but not all cases progress to AD, emphasizing the need for…
View article: Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering
Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering Open
Attributed graph clustering is an unsupervised task that partitions nodes into different groups. Self-supervised learning (SSL) shows great potential in handling this task, and some recent studies simultaneously learn multiple SSL tasks to…
View article: Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning Open
Continual learning (CL) has shown promising results and comparable performance to learning at once in a fully supervised manner. However, CL strategies typically require a large number of labeled samples, making their real-life deployment …
View article: Bi-directional Adapter for Multimodal Tracking
Bi-directional Adapter for Multimodal Tracking Open
Due to the rapid development of computer vision, single-modal (RGB) object tracking has made significant progress in recent years. Considering the limitation of single imaging sensor, multi-modal images (RGB, infrared, etc.) are introduced…
View article: An aid diagnostic platform to detect the transition of mild cognitive impairment (MCI) to Alzheimer's disease (AD) based on 48,116 AD and MCI patients
An aid diagnostic platform to detect the transition of mild cognitive impairment (MCI) to Alzheimer's disease (AD) based on 48,116 AD and MCI patients Open
Alzheimer's disease (AD) is an incurable, progressive neurodegenerative disorder, necessitating early diagnosis and intervention. Mild cognitive impairment (MCI) often precedes AD, but not all cases progress to AD, emphasizing the need for…
View article: Task-Customized Mixture of Adapters for General Image Fusion
Task-Customized Mixture of Adapters for General Image Fusion Open
General image fusion aims at integrating important information from multi-source images. However, due to the significant cross-task gap, the respective fusion mechanism varies considerably in practice, resulting in limited performance acro…