Search Results - "Shenghong Li"

An Investigation Into Baseband Techniques for Single-Channel Full-Duplex Wireless Communication Systems by Shenghong Li, Murch, Ross D.

“…Full-duplex wireless communication is becoming an important research area because of its potential for increasing spectral efficiency. The challenge of such…”
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Passive Image-Splicing Detection by a 2-D Noncausal Markov Model by Xudong Zhao, Shilin Wang, Shenghong Li, Jianhua Li

“…In this paper, a 2-D noncausal Markov model is proposed for passive digital image-splicing detection. Different from the traditional Markov model, the proposed…”
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A multi-Markovian switching-based strategy for solving the stochastic point location problem by Guo, Ying, Li, Shenghong

“…Stochastic Point Location problem considering that a learning entity (i.e. mechanisms, algorithm, etc) attempts to locate a certain point by interaction with a…”
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Effects of friction properties and rheological structures on the deformation patterns and evolution of fold-and-thrust belts—New insights from analogue modelling by He, Wengang, Yu, Yixin, Luo, You, Li, Shenghong

“…Studying fold-and-thrust belts is crucial in geoscience; fold-and-thrust belts are rich in petroleum and natural gas. However, the effects of friction…”
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Deep Sensing for Future Spectrum and Location Awareness 5G Communications by Bin Li, Shenghong Li, Nallanathan, Arumugam, Chenglin Zhao

“…Spectrum sensing based dynamic spectrum sharing is one of the key innovative techniques in future 5G communications. When realistic mobile scenarios are…”
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New Efficient Indoor Cooperative Localization Algorithm With Empirical Ranging Error Model by Shenghong Li, Hedley, Mark, Collings, Iain B.

“…Cooperative localization can improve both the availability and accuracy of positioning systems, and distributed belief propagation is a promising enabling…”
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A novel reduced parameter s-model of estimator learning automata in the switching non-stationary environment by Guo, Ying, Di, Chong, Li, Shenghong

“…Learning automata (LA), a powerful tool for reinforcement learning in the field of machine learning, could explore its optimal state by continuously…”
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Revealing the Traces of Median Filtering Using High-Order Local Ternary Patterns by Zhang, Yujin, Li, Shenghong, Wang, Shilin, Shi, Yun Qing

“…Recently, detecting the traces introduced by the content-preserving image manipulations has received a great deal of attention from forensic analyzers. It is…”
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Price clustering in Bitcoin market—An extension by Li, Xin, Li, Shenghong, Xu, Chong

“…•We study price clustering for intraday Bitcoin prices of different time frames.•We find that open, high and low prices have different patterns of…”
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Non-Gaussian noise induced stochastic resonance in FitzHugh–Nagumo neural system with time delay by Li, Shenghong, Huang, Jiwei

“…In this paper, non-Gaussian noise induced stochastic resonance for the FitzHugh–Nagumo neural system with a time delay is investigated. Through the path…”
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Mean first-passage time of a tumor cell growth system with time delay and colored cross-correlated noises excitation by Li, Shenghong, Huang, Yong

“…In this paper, the mean first-passage time of a delayed tumor cell growth system driven by colored cross-correlated noises is investigated. Based on the…”
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Bayesian inference based learning automaton scheme in Q-model environments by Di, Chong, Li, Fangqi, Li, Shenghong, Tian, Jianwei

“…Learning automaton (LA) is a reinforcement learning unit that learns the optimal action in a stochastic environment. Great efforts have been made to improve…”
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Analysis of alterations in white matter integrity of adult patients with comitant exotropia by Li, Dan, Li, Shenghong, Zeng, Xianjun

“…Objective This study was performed to investigate structural abnormalities of the white matter in patients with comitant exotropia using the tract-based…”
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Reinforcement Learning Based Stochastic Shortest Path Finding in Wireless Sensor Networks by Xia, Wenwen, Di, Chong, Guo, Haonan, Li, Shenghong

“…Many factors influence the connection states between nodes of wireless sensor networks, such as physical distance, and the network load, making the network's…”
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Random Walk-Based Solution to Triple Level Stochastic Point Location Problem by Jiang, Wen, Huang, De-Shuang, Li, Shenghong

“…This paper considers the stochastic point location (SPL) problem as a learning mechanism trying to locate a point on a real line via interacting with a random…”
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Single-cell sequencing decodes the secrets of the RAP phenomenon of corticotomy by Fan, Zhibo, Li, Shenghong, You, Liping, Lan, Yuxin, Zhong, Yutong, Ma, Yuefan, Xu, Jie, Xu, Xiaomei

“…Corticotomy-assisted tooth movement is commonly performed in clinics, however, its time-limited efficacy and the fear of surgery among patients significantly…”
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Time-Consistent Investment and Reinsurance Strategies for Mean-Variance Insurers under Stochastic Interest Rate and Stochastic Volatility by Zhu, Jiaqi, Li, Shenghong

“…This paper studies the time-consistent optimal investment and reinsurance problem for mean-variance insurers when considering both stochastic interest rate and…”
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Application of Deep Learning Techniques in Water Level Measurement: Combining Improved SegFormer-UNet Model with Virtual Water Gauge by Xie, Zhifeng, Jin, Jianhui, Wang, Jianping, Zhang, Rongxing, Li, Shenghong

“…Most computer vision algorithms for water level measurement rely on a physical water gauge in the image, which can pose challenges when the gauge is partially…”
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A parameter-free learning automaton scheme by Ren, Xudie, Li, Shenghong, Ge, Hao

“…For a learning automaton, a proper configuration of the learning parameters is crucial. To ensure stable and reliable performance in stochastic environments,…”
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Co-Channel Interference Modeling in Cognitive Wireless Networks by Li, Jian, Li, Shenghong, Zhao, Feng, Du, Rong

“…Cognitive radio is a promising technology for sharing the underutilized frequency bands that have been licensed to primary users. However, due to the…”
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