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    Chapter and Conference Paper

    Edge Computing Task Unloading Decision Optimization Algorithm Based on Deep Reinforcement Learning

    Mobile Edge Computing (MEC) is used to enhance the data processing capability of low-power networks and has now become an efficient computing paradigm. In this paper, an edge-cloud collaborative system compose...

    Yu Kong, Ying Li, Jiandong Wang, Shiwei Yin in Wireless Sensor Networks (2024)

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    Chapter

    Electrolyte Technologies

    The solutes of human body fluids can be chemically divided into electrolytes and non-electrolytes. Electrolytes usually refer to potassium (K+), sodium (Na+), chloride (Cl), calcium (Ca++), lithium (Li+), magnes...

    Jiandong Wang, **aolong Wang, Hui Xu, Dali Dai in In Vitro Diagnostic Industry in China (2023)

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    Chapter

    Analysis of Blood Gas

    Analysis of blood gas has recently been a rapidly developed medical inspection technique. At the end of the 1950s, Poul Astrup, a Danish physician, and chemist, developed the first blood gas analyzer. Since th...

    Lili Chen, Wenguang Tan, Min Yang, Ziyan Luo in In Vitro Diagnostic Industry in China (2023)

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    Chapter and Conference Paper

    Design of an Image Segmentation System Based on Hierarchical Density-Based Spatial Clustering of Applications with Noise for Off-Road Unmanned Ground Vehicles

    This paper presents an improved, unsupervised machine learning image segmentation system with density-based noisy spatial hierarchical clustering (IS-HDBSCAN). Compared with the conventional image segmentation...

    **gguo Wang, Yiquan Wang, Jiandong Wang in Proceedings of 2022 International Conferen… (2023)

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    Chapter and Conference Paper

    The Application of Machine Learning Algorithms to Diagnose CKD Stages and Identify Critical Metabolites Features

    Background: Chronic kidney disease (CKD) is a progressive and heterogeneous disorder that affects kidney structures and functions. Now it becomes one of the major challenges of public health. Early-stage detectio...

    Bing Feng, Ying-Yong Zhao, Jiexi Wang, Hui Yu in Bioinformatics and Biomedical Engineering (2019)

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    Chapter and Conference Paper

    Local Community Detection Based on Bridges Ideas

    In complex network analysis, the local community detection problem is getting more and more attention. Because of the difficulty to get complete information of the network, such as the World Wide Web, the loca...

    **a Zhang, Zhengyou **a, Jiandong Wang in Data Mining and Big Data (2016)

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    Chapter and Conference Paper

    An Airport Noise Prediction Model Based on Selective Ensemble of LOF-FSVR

    Airport noise prediction is of vital importance to the planning and designing of airports and flights, as well as in controlling airport noise. Benefited from the development of the Internet of things, large-s...

    Haiyan Chen, Jiajia Deng, Bo Sun, Jiandong Wang in Cloud Computing and Security (2015)

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    Chapter and Conference Paper

    Current Attitude Prediction Model Based on Game Theory

    Social interactions on online communities involve both positive and negative relationships: people give feedbacks to indicate friendship, support, or approval; but they also express disagreement or distrust of...

    Zhan Bu, Chengcui Zhang, Zhengyou **a in Web Information Systems Engineering – WISE… (2013)

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    Chapter and Conference Paper

    A Bricklaying Best-Fit Heuristic Algorithm for the Orthogonal Rectangle Packing Problem

    The present paper presents a novel heuristic algorithm, “BBF” algorithm, for the two-dimensional orthogonal rectangular packing problem. The BBF algorithm combines the main ideas of the Best-fit algorithm and ...

    Wenshui Lin, **** Xu, Jiandong Wang, **nyou Wu in Applied Informatics and Communication (2011)

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    Chapter and Conference Paper

    Modeling of Flight Delay State-Space Model

    Flight delay prediction remains an important research topic due to its dynamic nature. Dynamic data-driven approach might provide a solution to this problem. To apply the approach, a flight delay state-space m...

    HaiYan Chen, JianDong Wang, Hao Yan in Advanced Research on Computer Education, S… (2011)

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    Chapter

    A Blind Approach to Identification of Hammerstein Systems

    Hammerstein systems form a class of block-oriented nonlinear models, where a static nonlinearity precedes a linear dynamic system. There exist a large number of works on the topic of identification of Hammerst...

    Jiandong Wang, Akira Sano, Tongwen Chen in Block-oriented Nonlinear System Identifica… (2010)

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    Chapter

    Light Localization by Defects in Optically Induced Photonic Structures

    In the past ten years, there has blossomed an interest in the study of collective behavior of wave propagation in periodic waveguide arrays and photonic lattices [1–3]. The unique bandgap structures of these p...

    Jianke Yang, **aosheng Wang, Jiandong Wang in Nonlinearities in Periodic Structures and … (2010)

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    Chapter and Conference Paper

    A Secure Channel Free Public Key Encryption with Keyword Search Scheme without Random Oracle

    The public key encryption with keyword Search (PEKS) scheme, proposed by Boneh, Di Crescenzo, Ostrovsky and Persiano, enables one to search for encrypted keywords without compromising the security of the origi...

    Liming Fang, Willy Susilo, Chunpeng Ge, Jiandong Wang in Cryptology and Network Security (2009)

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    Chapter and Conference Paper

    Anonymous Conditional Proxy Re-encryption without Random Oracle

    A proxy re-encryption scheme enables a proxy to re-encrypt a ciphertext under a delegator’s public-key and designate it to a delegatee. Weng et al. introduced the notion of conditional proxy re-encryption (or C-P...

    Liming Fang, Willy Susilo, Jiandong Wang in Provable Security (2009)

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    Chapter and Conference Paper

    An Integrated Approach for Mining Meta-rules

    An integrated approach of mining association rules and meta-rules based on a hyper-structure is put forward. In this approach, time serial databases are partitioned according to time segments, and the total nu...

    Feiyue Ye, Jiandong Wang, Shiliang Wu in Machine Learning and Data Mining in Patter… (2005)

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    Chapter and Conference Paper

    Explanation-based learning helps acquire knowledge from natural language texts

    Existing systems to acquire knowledge from expository texts do not perform any learning beyond interpreting the contents of the text. The opportunity to learn from examples included in texts is not exploited. ...

    Sylvain Delisle, Stan Matwin, Jiandong Wang in Methodologies for Intelligent Systems (1991)