Search Results - "Pi, Dechang"

A reinforcement learning-based communication topology in particle swarm optimization by Xu, Yue, Pi, Dechang

“…Recently, a multitude of researchers have considered the fully connected topology (Gbest) as a default communication topology in particle swarm optimization…”
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Network representation learning: a systematic literature review by Li, Bentian, Pi, Dechang

“…Omnipresent network/graph data generally have the characteristics of nonlinearity, sparseness, dynamicity and heterogeneity, which bring numerous challenges to…”
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Milling Surface Roughness Prediction Based on Physics-Informed Machine Learning by Zeng, Shi, Pi, Dechang

“…Surface roughness is a key indicator of the quality of mechanical products, which can precisely portray the fatigue strength, wear resistance, surface hardness…”
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Analysis of global stock index data during crisis period via complex network approach by Li, Bentian, Pi, Dechang

“…Considerable research has been done on the complex stock market, however, there is very little systematic work on the impact of crisis on global stock markets…”
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Effective heuristics and metaheuristics for the distributed fuzzy blocking flow-shop scheduling problem by Shao, Zhongshi, Shao, Weishi, Pi, Dechang

“…•A distributed fuzzy blocking flow-shop scheduling problem is investigated.•Two new constructive heuristics are proposed.•Two metaheuristics based on iterated…”
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Effective Constructive Heuristic and Metaheuristic for the Distributed Assembly Blocking Flow-shop Scheduling Problem by Shao, Zhongshi, Shao, Weishi, Pi, Dechang

“…Scheduling in distributed production system has become an active research field in recent years. This paper investigates the distributed assembly blocking…”
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An efficient single shot detector with weight-based feature fusion for small object detection by Li, Ming, Pi, Dechang, Qin, Shuo

“…Object detection has been widely applied in various fields with the rapid development of deep learning in recent years. However, detecting small objects is…”
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A privacy-conserving framework based intrusion detection method for detecting and recognizing malicious behaviours in cyber-physical power networks by Khan, Izhar Ahmed, Pi, Dechang, Khan, Nasrullah, Khan, Zaheer Ullah, Hussain, Yasir, Nawaz, Asif, Ali, Farman

“…Contemporary Smart Power Systems (SPNs) depend on Cyber-Physical Systems (CPSs) to connect physical devices and control tools. Developing a robust…”
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Multi-source information fusion based heterogeneous network embedding by Li, Bentian, Pi, Dechang, Lin, Yunxia, Khan, Izhar Ahmed, Cui, Lin

“…•Proposes a novel and generic heterogeneous network embedding approach.•Multi-source information in heterogeneous network is successfully modeled jointly.•The…”
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Adversarially regularized medication recommendation model with multi-hop memory network by Wang, Yanda, Chen, Weitong, Pi, Dechang, Yue, Lin

“…Medication recommendation is attracting enormous attention due to its promise in effectively prescribing medicines and improving the survival rate of patients…”
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FDPPGAN: remote sensing image fusion based on deep perceptual patchGAN by Pan, Yue, Pi, Dechang, Chen, Junfu, Meng, Han

“…Remote sensing satellites can simultaneously capture high spatial resolution panchromatic (PAN) images and low spatial resolution multispectral (MS) images…”
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A New Time Series Representation Model and Corresponding Similarity Measure for Fast and Accurate Similarity Detection by Zhang, Miaomiao, Pi, Dechang

“…Data representation and similarity measurement are two basic aspects of similarity detection in time series data mining. In this paper, we present two novel…”
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Short-term power prediction of photovoltaic power station based on long short-term memory-back-propagation by Hua, Chi, Zhu, Erxi, Kuang, Liang, Pi, Dechang

“…Accurate prediction of the generation capacity of photovoltaic systems is fundamental to ensuring the stability of the grid and to performing scheduling…”
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Graph augmented triplet architecture for fine-grained patient similarity by Wang, Yanda, Chen, Weitong, Pi, Dechang, Boots, Robert

“…Electronic Health Records (EHRs) provide rich information for the research of multiple healthcare applications that improve chance of survival in Intensive…”
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EP‐LSTM: Novel prediction algorithm for moving object destination by Li, Bingrong, Pi, Dechang, Hou, Mengru

“…Predicting the destination of a moving object is a popular research subject in location‐based services. By predicting destinations, suggestions can be offered…”
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HML-IDS: A Hybrid-Multilevel Anomaly Prediction Approach for Intrusion Detection in SCADA Systems by Khan, Izhar Ahmed, Pi, Dechang, Khan, Zaheer Ullah, Hussain, Yasir, Nawaz, Asif

“…Critical infrastructures, e.g., electricity generation and dispersal networks, chemical processing plants, and gas distribution, are governed and monitored by…”
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Maintenance and Operation Optimization Algorithm of PV Plants under Multiconstraint Conditions by Hua, Chi, Pi, Dechang, Kuang, Liang

“…With the rapid increase in the photovoltaic (PV) plants, the real-time operation and maintenance of photovoltaic power generation equipment is very important…”
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Topology Identification of Time-Scales Complex Networks by Pei, Yong, Chen, Churong, Pi, Dechang

“…This paper studies a topology identification problem of complex networks with dynamics on different time scales. Using the adaptive synchronization method,…”
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A Novel Prediction Method for Zinc-Binding Sites in Proteins by an Ensemble of SVM and Sample-Weighted Probabilistic Neural Network by Li, Hui, Pi, Dechang, Chen, Chuanming, Li, Hongyi

“…In the prediction of zinc-binding sites in proteins, there are few real binding-site residues, whereas most residues are non-binding-site residues, resulting…”
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An Improved Prediction Model for Zinc-Binding Sites in Proteins Based on Bayesian Method by Li, Hui, Pi, Dechang, Chen, Chuanming

“…The zinc ion is the second richest metal ion in organisms. The proteins binding to zinc ions have important biological functions. However, few scholars have…”
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