A5044107601- Advancements in Battery Materials
- Advanced Neural Network Applications
- Rough Sets and Fuzzy Logic
- Advanced Battery Materials and Technologies
- Vehicle License Plate Recognition
- Advanced Computational Techniques and Applications
- Power Line Inspection Robots
- VLSI and FPGA Design Techniques
- Advanced Decision-Making Techniques
- Industrial Vision Systems and Defect Detection
- Extraction and Separation Processes
- Low-power high-performance VLSI design
- Advanced Algorithms and Applications
- Energy Load and Power Forecasting
- Fault Detection and Control Systems
- VLSI and Analog Circuit Testing
- Power Systems and Technologies
- Supercapacitor Materials and Fabrication
- Grey System Theory Applications
- 3D IC and TSV technologies
- Advanced Sensor and Control Systems
- Remote-Sensing Image Classification
- Evaluation Methods in Various Fields
- Transition Metal Oxide Nanomaterials
- Spam and Phishing Detection
North China Electric Power University
2010-2025
Central South University
2021-2024
Xinjiang Academy of Agricultural and Reclamation Science
2024
Lanzhou University
2024
Nanyang Technological University
2022-2024
Animal Science Research Institute
2024
Tarim University
2024
Hospital of Hebei Province
2024
Hebei Academy of Agriculture and Forestry Sciences
2024
Wuhan Textile University
2023-2024
Insulators are critical electric components in transmission lines. Recognizing insulators and detecting the faults timely accurately is essential for maintaining safety stability of Traditional methods have low accuracy poor applicability insulator recognition fault detection. An detection model was proposed paper aiming at improving accuracy. Firstly, based on Faster Region Convolutional Neural Network (RCNN), Feature Pyramid Networks (FPN) were used to improve RCNN locate with complex...
Abstract Fast‐charging ability of sodium‐ion batteries (SIBs) is mainly determined by a highly effective redox reaction rate. However, traditional metal@carbon composites rarely achieve atom‐level dispersion at high density, resulting in poor rates. Herein, supported the introduction carbon vacancies, abundant C─S/C─O chemical bonds are successfully established carrier. Then, plenty Sb single atoms (Sb SA/PC) first anchored with loading 31.4 wt%, achieving yield 210.56 g per batch....
Bolts are the most numerous fasteners in transmission lines and prone to losing their split pins. How realize automatic pin-missing defect detection for bolts so as achieve timely efficient troubleshooting is a difficult problem long-term research target of power systems. In this article, an model called visual shape clustering network (AVSCNet) constructed. First, unsupervised method shapes proposed applied construct that can learn difference shape. Next, three deep convolutional neural...
Abstract Attracted by high energy density and power density, metal‐sulfides anodes have promising application prospects in fast charging batteries. However, they still suffer from low electrical conductivity sluggish electrochemical kinetics, resulting poor capacity. Herein, spindle‐like antimony sulfide (Sb 2 S 3 ) is rationally tailored with favorable (hk1) crystal orientation rich ‐vacancies using a simple hydrothermal method, which improve electric significantly. Triggered lattice...
Abstract Due to the lack of annotations in target bounding boxes, most methods for weakly supervised detection transform problem object into a classification candidate regions, making it easy detectors locate significant and highly discriminative local areas objects. We propose weak monitoring method that combines attention erasure mechanisms. The uses maps search with higher discrimination within then an mechanism erase region, forcing model enhance its learning features weaker...
Functional Li 2 CuO -coated separators are fabricated from spent Cu foil and contribute to the regeneration of LiFePO 4 in a full-cell system.
Abstract Engineering advanced sodium‐ion storage materials with considerable kinetic behaviors have triggered a series of active explorations. However they still suffer from interfacial gaps and uncompleted redox reactions, bringing about poor rate abilities. Herein, through the strategy salt‐fixed thermochemical manners, CoSe 2 /OC chemical CoOC bonds are successfully prepared, displaying reduced particles optimized structural features. Meanwhile, analysis long‐term phase changing curves...
Transmission lines' status detection and fault diagnosis are based on the high-accuracy of typical fittings in aerial inspection photographs. Detecting tiny-size complicated sceneries is still an unresolved issue, nevertheless, because constraints small number feature pixels. Considering characteristics fitting connection structures, we proposed a novel method named context-based graph reasoning model (CGRM), which multiscale context, self-attention map, learning. This includes one...
Currently, reliable and accurate object detection in high-resolution remote sensing images still faces significant challenges, such as color, aspect ratio, complex background, scale variations. Even the results obtained based on latest convolutional neural network (CNN) methods are not satisfactory. To obtain more from large-scale images, we proposed a multiscale algorithm oriented to adaptively attentional feature fusion YOLOX algorithm. First, (MSAFF) structure was added increase...
Aiming at the problems of complex background, tiny-size objects, long-tailed distribution, and so on, a hybrid knowledge region-based convolutional neural network (HK R-CNN) is proposed to detect multiple fittings in aerial images transmission lines. First, structure combination rules line are studied, relationships co-occurrence connection spatial location between effectively extracted through data-driven way. Second, position-sensitive score map (PSSM) utilized express immobilized extract...
Aiming at the problems of complex background, diverse shapes, and object occlusion in aerial images, a cascade reasoning graph network (CRGN) is proposed for multi-fitting detection on transmission lines. First all, these three mentioned above, co-occurrence knowledge, semantic spatial knowledge were constructed to represent co-relation objects by analyzing characteristics line fittings. Next, Supervised Graph Learning (SGL), Attention (GAT), Convolutional Network (GCN) employed reason...
Accurate infrared thermal image instance segmentation of substation equipment is a prerequisite for intelligent analysis its temperature status. To address the issues low accuracy and false detection in existing methods, we propose visual feature reasoning-based method to compensate limitations deep learning methods improve accuracy. We utilizing distinctive features as priori knowledge three types construct two-branch model (FR-SOLOv2) based on power domain expertise reasoning. FR-SOLOv2...
With the widespread application of digital images in various domains, accurate measurement image quality has become particularly crucial. This paper introduces a novel multi-branch multi-layer feature fusion network (MFFNet) to address inadequate expression multi-scale and semantic features local visual consideration existing no-reference assessment algorithms. MFFNet comprises primary sub-branch. Through convolutional neural extraction, main branch uses enhancement (MSFE) module capture...
The communication via email is one of the most popular services Internet. Emails have brought us great convenience in our daily work and life. However, unsolicited messages or spam, flood boxes, which results bandwidth, time money wasting. To this end, paper presents a rough set based model to classify emails into three categories - no-spam suspicious, rather than two classes (spam non-spam) currently used approaches. By comparing with classification methods like Naive Bayes classification,...
Owing to its fascinating properties (such as high theoretical specific capacity and considerable conductivity), nickel sulfide (NiS) was investigated comprehensively an anode material in sodium-ion batteries. However, they still suffered from volume expansion sluggish kinetics, resulting serious cycle capabilities. Herein, through controlling the kind of molten salts (Na2SO4, NaCl, Na2CO3) salt melt synthesis (SMS), a series NiS with N, S-codoped carbon layer successfully prepared,...
The effects of spam on network is discussed. Unsolicited messages or spam, flood our email boxes, viruses, worms, and denial-of service attacks that cripple computer networks may secret in spam. This threaten security, stability reliability seriously. In this paper, A new scheme based decision-theoretic rough sets introduced to classify emails into three categories - no-spam suspicious. By comparing with popular classification methods like Naive Bayes classification, anti-Spam filter model...
The forecasting to mid-long term load is important because it can provide evidence the power planning. Traditional forecast techniques apply a single forecaster carry out task. However, this might not be best for all situations or databases. A combinational model on basis of Support Vector Machine (SVM) theory proposed in paper. During process forecast, several methods such as trend prediction model, exponent non-linear regression improved grey predictive and verhulst are used form group,...
Background: Accurately predicting waiting time for patients is crucial effective hospital management. The present study examined the prediction of outpatient in a Chinese pediatric through use machine learning algorithms. If are informed about their advance, they can make more decisions and better plan visit on day admission. Methods: First, novel classification method clinic was proposed, which based medical knowledge statistical analysis. Subsequently, four algorithms [linear regression...
Owing to its high theoretical specific capacity, effective working voltage, and abundant raw materials, antimony sulfide (Sb2S3) was regarded as one promising anode material for electrochemical energy conversion storage, especially regarding alkali-ion (Li+, Na+, K+) batteries. Currently, using chemical agents or minerals precursors, numerous strategies have been utilized prepare multiple-morphology Sb2S3 electrodes accompanied by remarkable energy-storage performances. Therefore, analyzing...