A5100423703- Sensor Technology and Measurement Systems
- Web Data Mining and Analysis
- Topic Modeling
- Advanced Text Analysis Techniques
- Complex Network Analysis Techniques
- Natural Language Processing Techniques
- Neural Networks and Applications
- Metaheuristic Optimization Algorithms Research
- Multimodal Machine Learning Applications
- Cryptography and Data Security
- Caching and Content Delivery
- Text and Document Classification Technologies
- Semantic Web and Ontologies
- Security in Wireless Sensor Networks
- Full-Duplex Wireless Communications
- COVID-19 epidemiological studies
- Advanced Database Systems and Queries
- Vehicular Ad Hoc Networks (VANETs)
- Neuroethics, Human Enhancement, Biomedical Innovations
- Video Surveillance and Tracking Methods
- Cooperative Communication and Network Coding
- Microwave and Dielectric Measurement Techniques
- Radar Systems and Signal Processing
- Mathematics, Computing, and Information Processing
- Viral Infections and Outbreaks Research
Minzu University of China
2023-2025
Changsha University of Science and Technology
2024
Central China Normal University
2024
Nanjing Institute of Agricultural Mechanization
2024
Ministry of Agriculture and Rural Affairs
2024
Nationwide Children's Hospital
2023
Hubei University of Arts and Science
2022
Xiangtan University
2022
Altair Engineering (United States)
2022
Wuhan University of Technology
2022
This article presents a robust defense of the concept ‘datafied enhancement’ as subset human enhancement. Firstly, author notes that widespread development ICT and AI technologies has made it possible to collect analyse biometric data, thus integrating data into embodiment. Secondly, explores cultural intellectual history datafied enhancement, highlighting significant role played in evolution. Thirdly, examines functional classifications arguing conversational, wearable, ingestible...
Aspect-level sentiment analysis within multimodal contexts, focusing on the precise identification and interpretation of attitudes linked to target aspect across diverse data modalities, remains a focal research area that perpetuates advancement discourse innovation in artificial intelligence. However, most existing methods tend focus extracting visual features from only one facet, such as face expression, which ignores value information other key facets, textual presented by image modality,...
Instantaneous phase (IP) feature is a time‐varying curve describing the unintentional modulation on phase. IP basic for identifying different radar emitters, and mostly other features can always be obtained from its transformations. Thus an important issue to choose suitable transformation of which achieve best recognition performance, more specifically, highest ratio. Heretofore, ratios transformed were derived basically through experiments, lacking theoretical calculation analysis. In this...
Retrieval-Augmented Generation (RAG) has quickly grown into a pivotal paradigm in the development of Large Language Models (LLMs). While much current research this field focuses on performance optimization, particularly terms accuracy and efficiency, trustworthiness RAG systems remains an area still under exploration. From positive perspective, are promising to enhance LLMs by providing them with useful up-to-date knowledge from vast external databases, thereby mitigating long-standing...
According to the problem of low solution precision, slow convergence speed and some fireflies failure in traditional firefly algorithm, an improved optimization algorithm is proposed based on learning mechanism, By chaotic maps, Firefly's initial position which dynamic distance weighting introduced strength search ability adaptive-step scheme used balance dual requirement local global optimization.Gaussian mutation also adopted help population jump out optimum effectively.Experimental...
Focused crawlers aim to effectively prioritize uncrawled URLs harvest relevant pages while avoiding irrelevant ones. In practice, harvesting high quality topical Web resources is more important due the explosion of information. Our study shows that popular focused crawling strategy cannot achieve this goal. paper we develop a new crawler, namely On-line estimation (OTQE), which intelligently evaluates by observed link and content evidences their accordingly. The crawler scalable requires...
We study secondary instabilities in a coherently driven passive optical fiber cavity. show that time-modulated solutions which are generated at the onset of instability experience convective and absolute Eckhaus instabilities. The splitting into drastically impacts boundaries. As consequence, stability range waves is enlarged. More importantly, threshold determines transition from time-periodic wave trains to chaotic regime. In latter composed irregular oscillations embedded regular ones....
The detection of key events and identification the events’ context have been widely studied to detect from large volumes online news identify trends in such events. In this paper, we propose a Key News Event Detection Context Method based on graphic convolving, clustering, summarizing methods. Our method has three main contributions: (1) We use position vectors as time-embedding feature representations concatenate semantic features node graph distinguish different nodes graph. Additionally,...
Data modeling is a critical component in the development of next-generation consumer electronics (CE), as it provides massive data support to implement smart services related CE products, such complex correlation analysis market, technology, and behaviors. However, existing works still face following challenges: (1) manual processing time-consuming labor-intensive while analyzing with domain knowledge; (2) insufficient attention given relationships among collections; (3) redundant not...
Abstract To improve the diversity and performance of mayfly algorithm (MA), this letter adopts mutation strategies in process MA. The opposition‐based learning (OBL) Cauchy are used to mutate global optimal solution, artificial operator is offspring population. hybrid a cascaded structure. proposed algorithms demonstrated simulations comparatively.
This paper reviews and proposes concerns in adopting, fielding, maintaining artificial intelligence (AI) systems. While the AI community has made rapid progress, there are challenges certifying Using procedures from design operational test evaluation, opportunities towards determining performance bounds to manage expectations of intended use. A notional use case is presented with image data fusion support object recognition certifiability considering precision versus distance.
To conveniently implement the online detection of grain moisture in combined harvesters and address influence no-load measurement baseline, thereby enhancing accuracy continuity, this study developed a differential device. For its convenient installation integration on harvesters, single-pole plate element with 1.6 mm thick epoxy resin coated 2-ounce copper film was designed, device constructed based STM32F103 microprocessor (STMicroelectronics International NV, Geneva, Switzerland). enhance...
The existing Retrieval-Augmented Generation (RAG) systems face significant challenges in terms of cost and effectiveness. On one hand, they need to encode the lengthy retrieved contexts before responding input tasks, which imposes substantial computational overhead. other directly using generic Large Language Models (LLMs) often leads sub-optimal answers, while task-specific fine-tuning may compromise LLMs' general capabilities. To address these challenges, we introduce a novel approach...