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Novel joint encoding/decoding algorithms of fountain codes for underwater acoustic communication 认领 引用 被引量：1
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作者 Mingshen Liang Jinjue Duan +2 位作者 Danfeng Zhao Jiaxi Si Xiangyu Song 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2016年第4期772-779,共8页
Fountain codes are considered to be a promising coding technique in underwater acoustic communication（UAC） which is challenged with the unique propagation features of the underwater acoustic channel and the harsh ma... Fountain codes are considered to be a promising coding technique in underwater acoustic communication（UAC） which is challenged with the unique propagation features of the underwater acoustic channel and the harsh marine environment. And Luby transform（LT） codes are the first codes fully realizing the digital fountain concept. However, in conventional LT encoding/decoding algorithms, due to the imperfect coverage（IC） of input symbols and short cycles in the generator matrix, stopping sets would occur and terminate the decoding. Thus, the recovery probability is reduced,high coding overhead is required and decoding delay is increased.These issues would be disadvantages while applying LT codes in underwater acoustic communication. Aimed at solving those issues, novel encoding/decoding algorithms are proposed. First,a doping and non-uniform selecting（DNS） encoding algorithm is proposed to solve the IC and the generation of short cycles problems. And this can reduce the probability of stopping sets occur during decoding. Second, a hybrid on the fly Gaussian elimination and belief propagation（OFG-BP） decoding algorithm is designed to reduce the decoding delay and efficiently utilize the information of stopping sets. Comparisons via Monte Carlo simulation confirm that the proposed schemes could achieve better overall decoding performances in comparison with conventional schemes. 展开更多
关键词 underwater acoustic communication（UAC） fountain codes non-uniform encoding hybrid decoding algorithm stopping sets
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The Dissemination of Intangible Cultural Heritage Along Beijing-Hangzhou Canal Based on Encoding/Decoding Theory 认领 引用
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作者 TAN Hao XIANYU Jing 《Cultural and Religious Studies》 2023年第5期241-245,共5页
The Beijing-Hangzhou Grand Canal carries a wealth of Chinese cultural symbols,showing the lifestyle and wisdom of working people through ages.The preservation and inheritance of its intangible cultural heritage can he... The Beijing-Hangzhou Grand Canal carries a wealth of Chinese cultural symbols,showing the lifestyle and wisdom of working people through ages.The preservation and inheritance of its intangible cultural heritage can help to evoke cultural memories and cultural identification of the Canal and build cultural confidence.This paper applies Stuart Hall’s encoding/decoding theory to analyze the dissemination of intangible heritage tourism culture.On the basis of a practical study of the villages along the Beijing-Hangzhou Grand Canal,this paper analyses the problems in the transmission of its intangible cultural heritage and proposes specific methods to solve them in four processes,encoding,decoding,communication,and secondary encoding,in order to propose references for the transmission of intangible heritage culture at home and abroad. 展开更多
关键词 dissemination encoding decoding intangible cultural heritage
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The Dissemination of Chinese Tea Culture Based on Encoding/Decoding Theory 认领 引用
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作者 TAN Hao XIANYU Jing 《Journalism and Mass Communication》 2023年第1期45-49,共5页
Tea has a history of thousands of years in China and it plays an important role in the working-life and daily life of people.Tea culture rich in connotation is an important part of Chinese traditional culture,and its ... Tea has a history of thousands of years in China and it plays an important role in the working-life and daily life of people.Tea culture rich in connotation is an important part of Chinese traditional culture,and its existence and development are also of great significance to the diversified development of world culture.Based on Stuart Hall’s encoding/decoding theory,this paper analyzes the problems in the spreading of Chinese tea in and out of the country and provides solutions from the perspective of encoding,communication,and decoding.It is expected to provide a reference for the domestic and international dissemination of Chinese tea culture. 展开更多
关键词 tea culture encoding decoding communication
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A Fine-Grained RecognitionModel based on Discriminative Region Localization and Efficient Second-Order Feature Encoding 认领 引用
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作者 Xiaorui Zhang Yingying Wang +3 位作者 Wei Sun Shiyu Zhou Haoming Zhang Pengpai Wang 《Computers, Materials & Continua》 SCIE EI 2026年第4期946-965,共20页
Discriminative region localization and efficient feature encoding are crucial for fine-grained object recognition.However,existing data augmentation methods struggle to accurately locate discriminative regions in comp... Discriminative region localization and efficient feature encoding are crucial for fine-grained object recognition.However,existing data augmentation methods struggle to accurately locate discriminative regions in complex backgrounds,small target objects,and limited training data,leading to poor recognition.Fine-grained images exhibit“small inter-class differences,”and while second-order feature encoding enhances discrimination,it often requires dual Convolutional Neural Networks(CNN),increasing training time and complexity.This study proposes a model integrating discriminative region localization and efficient second-order feature encoding.By ranking feature map channels via a fully connected layer,it selects high-importance channels to generate an enhanced map,accurately locating discriminative regions.Cropping and erasing augmentations further refine recognition.To improve efficiency,a novel second-order feature encoding module generates an attention map from the fourth convolutional group of Residual Network 50 layers(ResNet-50)and multiplies it with features from the fifth group,producing second-order features while reducing dimensionality and training time.Experiments on Caltech-University of California,San Diego Birds-200-2011(CUB-200-2011),Stanford Car,and Fine-Grained Visual Classification of Aircraft(FGVC Aircraft)datasets show state-of-the-art accuracy of 88.9%,94.7%,and 93.3%,respectively. 展开更多
关键词 Fine-grained recognition feature encoding data augmentation second-order feature discriminative regions
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DGRDet: Dynamic Gaussian Receptive Field Encoding-Based Spiking Neural Networks for Remote Sensing Object Detection 认领 引用
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作者 Li Chen Fan Zhang +3 位作者 Guangwei Xie Yanzhao Gao Xiaofeng Qi Mingqian Sun 《Computers, Materials & Continua》 SCIE EI 2026年第8期1247-1271,共25页
Remote sensing object detection aims to identify and localize specific targets in satellite or aerial imagery.Spiking Neural Networks(SNNs),benefiting from their implicit feedback-based and event-driven brain-inspired... Remote sensing object detection aims to identify and localize specific targets in satellite or aerial imagery.Spiking Neural Networks(SNNs),benefiting from their implicit feedback-based and event-driven brain-inspired dynamics,offer a promising solution to alleviate the high energy consumption of conventional ANN-based detection models.However,existing SNN-based approaches for remote sensing object detection—particularly for small,arbitrarily rotated objects—are still in their infancy and suffer from a substantial performance gap compared with ANN counterparts.In this work,we draw inspiration from the hierarchical sparse perception mechanisms of biological vision and integrate dynamic receptive field modulation into the encoding stage,proposing a high-precision spiking object detection framework tailored for remote sensing image.Specifically,we design a Hierarchical Feedback-based Gaussian Encoding(HFG)scheme,in which the parameters of Gaussian kernels are dynamically adjusted through spike-triggered top-down feedback connections.This mechanism enables the encoding process to adaptively respond to complex geometric variations of remote sensing objects,including rotation and scale changes.Based on the proposed encoding strategy,we develop DGRDet(Dynamic Gaussian Receptive Field Encoding-based Spiking Neural Networks for Remote Sensing Object Detection),a directly trained deep SNN detector for remote sensing image.Extensive evaluations on the large-scale public DOTA dataset demonstrate that DGRDet achieves competitive detection accuracy,outperforming existing SNN-based object detection methods.Moreover,compared with ANN models of comparable detection performance,DGRDet reduces spike activity by 81.31%and requires only 0.12%of the inference energy consumption,achieving a favorable balance between detection accuracy,efficiency,and energy efficiency. 展开更多
关键词 Remote sensing image object detection spiking neural networks(SNNs) hierarchical sparse dynamic gaussian encoding
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Beyond Classical Positional Encodings:A Learnable QFT-Inspired Framework for Transformer Language Models 认领 引用
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作者 Sara Tehsin Tallha Akram +2 位作者 Syed Rameez Naqvi Meshal Alharbi Abdulrahman Alabduljabbar 《Computers, Materials & Continua》 SCIE EI 2026年第9期159-182,共24页
Transformers have become the dominant architecture for sequence modeling in natural language processing;however,their effectiveness critically depends on how positional information is encoded.Conventional positional e... Transformers have become the dominant architecture for sequence modeling in natural language processing;however,their effectiveness critically depends on how positional information is encoded.Conventional positional encodings,while effective,may have limited structural flexibility for capturing complex global sequence relationships.Recent quantum-inspired approaches have sought to address this limitation,yetmany either oversimplify quantum principles or introduce substantial computational or hardware overhead.We introduce a novel Quantum Fourier Transform(QFT)-inspired positional encoding scheme for transformers,motivated by the structured frequency representation of the QFT.Unlike prior approaches that either emulate quantum operations superficially or require complex circuit constructions,the proposed method provides a learnable hybrid encoding that preserves quantuminspired structure while remaining aligned with hardware-efficient circuit primitives and structurally compatible with future near-term quantum implementations.Experiments on WikiText-103 indicate that the proposed encoding achieves competitive perplexity,improved robustness to input scrambling,and stable training behavior relative to alternative quantum-inspired baselines under the evaluated settings.Preliminary circuit-level simulations further suggest favorable noise resilience of the associated encoding primitives.These findings support the potential utility of incorporating quantum-inspired design principles into deep learning architectures and provide a foundation for future exploration at the interface of quantum computing and transformer-based natural language processing(NLP). 展开更多
关键词 LLMs positional encoding Quantum Fourier Transform positional embeddings hybrid quantumclassical models near-term quantum devices quantum transformer
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Immune decoding from a multi-omics perspective:Redefining pancreatic cancer tumor microenvironment 认领 引用
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作者 Enkui Zhang Yinmo Yang 《Chinese Journal of Cancer Research》 SCIE CAS CSCD 2026年第3期311-314,共4页
Pancreatic ductal adenocarcinoma(PDAC)has long been regarded as a prototypical immune-cold tumor because of its dense desmoplastic stroma,limited cytotoxic lymphocyte infiltration,and poor response to immunotherapy.Ho... Pancreatic ductal adenocarcinoma(PDAC)has long been regarded as a prototypical immune-cold tumor because of its dense desmoplastic stroma,limited cytotoxic lymphocyte infiltration,and poor response to immunotherapy.However,this definition is increasingly insufficient.Recent advances in single-cell sequencing,T-cell receptor(TCR)and B-cell receptor(BCR)repertoire profiling,single-cell immune receptor sequencing,three-dimensional(3D)genome technologies,spatial transcriptomics,spatial proteomics,and artificial intelligence(AI)-assisted data integration suggest that immune failure in PDAC is not merely a consequence of reduced immune effector cell abundance(1,2). 展开更多
关键词 transcriptomicsspatial proteomicsand cytotoxic lymphocyte immune decoding multi omics pancreatic ductal adenocarcinoma pdac pancreatic ductal adenocarcinoma artificial i desmoplastic stromalimited
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Study on the aided PC-ASCL decoding algorithm based on optimized parity check codes 认领 引用
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作者 Jianguo YUAN Deyi YANG +1 位作者 Ziliang ZHU Jinneng XIANG 《Optoelectronics Letters》 EI 2026年第2期87-91,共5页
Aiming at the poor performance of the parity check(PC) aided adaptive successive cancellation list(PC-ASCL) decoding algorithm because the PC code in the polar code can only verify odd errors, an optimized parity chec... Aiming at the poor performance of the parity check(PC) aided adaptive successive cancellation list(PC-ASCL) decoding algorithm because the PC code in the polar code can only verify odd errors, an optimized parity check(OPC) code which can verify all odd errors as well as the half even errors is proposed. The OPC code is used to improve the PC-ASCL decoding algorithm, thus an OPC aided ASCL(OPC-ASCL) decoding algorithm is proposed. In the coding stage, the algorithm divides the information sequence into multiple segments, and places an OPC code at the end of each segment to verify the current information sequence, and places a cyclic redundancy check code at the end of the entire information sequence to verify the entire information sequence. In the decoding stage, the algorithm uses the OPC-ASCL decoder to decode. Simulation results show that compared to the PC-ASCL decoding algorithm, the OPC-ASCL decoding algorithm can reduce the complexity and obtain the certain performance gain. 展开更多
关键词 pc ascl decoding pc code adaptive successive cancellation list pc ascl divides information sequence multip parity check polar code optimized parity check coding stage
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Non-Invasive Brain-Computer Interfaces:Converging Frontiers in Neural Signal Decoding and Flexible Bioelectronics Integration 认领 引用 被引量：2
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作者 Sheng Wang Xiaobin Song +4 位作者 Xiaopan Song Yang Gu Zhuangzhuang Cong Yi Shen Linwei Yu 《Nano-Micro Letters》 SCIE EI CAS CSCD 2026年第6期399-447,共49页
The development of non-invasive brain-computer interfaces(BCIs)relies on multidisciplinary integration across neuroscience,artificial intelligence,flexible electronics,and systems engineering.Recent advances in deep l... The development of non-invasive brain-computer interfaces(BCIs)relies on multidisciplinary integration across neuroscience,artificial intelligence,flexible electronics,and systems engineering.Recent advances in deep learning have significantly improved the accuracy and robustness of neural signal decoding.Parallel progress in electrode design—particularly through the use of flexible and stretchable materials like nanostructured conductors and novel fabrication strategies—has enhanced wearability and operational stability.Nevertheless,key challenges persist,including individual variability,biocompatibility limitations,and susceptibility to interference in complex environments.Further validation and optimization are needed to address gaps in generalization capability,long-term reliability,and real-world operational robustness.This review systematically examines the representative progress in neural decoding algorithms and flexible bioelectronic platforms over the past decade,highlighting key design principles,material innovations,and integration strategies that are poised to advance non-invasive BCI capabilities.It also discusses the importance of multimodal data fusion,hardware-software co-optimization,and closed-loop control strategies.Furthermore,the review discusses the application potential and associated engineering challenges of this technology in clinical rehabilitation and industrial translation,aiming to provide a reference for advancing non-invasive BCIs toward practical and scalable deployment. 展开更多
关键词 Non-invasive BCIs Deep learning Neural signal decoding Nanowires Flexible bioelectronics
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Multidimensional visual feature encoding and functional organization in the pigeon entopallium 认领 引用
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作者 Jun-Cai Zhu Min-Jie Zhu +4 位作者 Qing-Zhi He Peng Wu Xiao-Ke Niu Jiang-Tao Wang Zhi-Zhong Wang 《Zoological Research》 SCIE CSCD 2026年第2期487-502,共16页
Understanding how birds perceive and recognize visual objects remains a fundamental question in neuroscience.The entopallium,a key node in the avian tectofugal pathway,has long been implicated in complex visual proces... Understanding how birds perceive and recognize visual objects remains a fundamental question in neuroscience.The entopallium,a key node in the avian tectofugal pathway,has long been implicated in complex visual processing,yet its internal functional architecture remains incompletely understood.In this study,neuronal activity in the pigeon entopallium was systematically mapped using controlled visual stimuli that independently varied in color,shape,and motion.Recordings revealed marked hue selectivity that remained invariant across luminance levels,pronounced orientation tuning in response to shape stimuli,and robust direction selectivity for moving stimuli.Spatial mapping further revealed distinct functional segregation,with color-selective neurons localized anteroventrally,shape-selective neurons dorsally,and motion-selective neurons posteriorly.At the same time,partial overlap among these response classes was observed,with a subset of neurons exhibiting joint tuning across stimulus dimensions,suggesting an organizational scheme characterized by regional specialization and partial cross-feature integration.Notably,entopallium neurons exhibited a moderate level of visual feature integration and shared important functional properties with early to intermediate stages of mammalian visual processing.Together,these findings establish the entopallium as a major site for multidimensional visual analysis in birds and provide evidence for convergent principles underlying the evolution of complex visual systems across vertebrates. 展开更多
关键词 Entopallium Tectofugal pathway Feature encoding Functional organization Object recognition
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Multi-Attempt List Decoding of Polar Codes 认领 引用
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作者 Yuan Peihong Chen Zhe +1 位作者 Wu Yongpeng Gao Yue 《China Communications》 SCIE EI CSCD 2026年第4期27-36,共10页
In this work,we propose a multi-attempt successive cancellation list(MA-SCL)decoder for polar codes that achieves identical error-correction performance to standard SCL decoding while reducing average complexity.Unlik... In this work,we propose a multi-attempt successive cancellation list(MA-SCL)decoder for polar codes that achieves identical error-correction performance to standard SCL decoding while reducing average complexity.Unlike CRC-aided SCL,the proposed MA-SCL progressively restarts decoding with increasing list sizes and reuses information from previous attempts.This design eliminates the need for outer CRC codes.The decoder features dynamic searchspace pruning and an early stopping criterion based on path metrics.Simulations show MA-SCL matches SCL performance with lower average complexity,particularly for short polar-like codes with reed-muller(RM)rate profiles and dynamic frozen constraints.Compared to existing adaptive decoders,MA-SCL offers implementation advantages by eliminating the need for stack-/heap management while providing relatively stable latency bounds(1×to|Λ|×SCL latency). 展开更多
关键词 complexity-adaptive decoding list decoding polar coding
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Encoding-Decoding-Based Control and Filtering of Networked Systems: Insights, Developments and Opportunities 认领 引用 被引量：4
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作者 Zidong Wang Licheng Wang +1 位作者 Shuai Liu Guoliang Wei 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2018年第1期3-18,共16页
In order to make the information transmission more efficient and reliable in a digital communication channel with limited capacity, various encoding-decoding techniques have been proposed and widely applied in many br... In order to make the information transmission more efficient and reliable in a digital communication channel with limited capacity, various encoding-decoding techniques have been proposed and widely applied in many branches of the signal processing including digital communications, data compression,information encryption, etc. Recently, due to its promising application potentials in the networked systems(NSs), the analysis and synthesis issues of the NSs under various encoding-decoding schemes have stirred some research attention. However, because of the network-enhanced complexity caused by the limited network resources, it poses new challenges to the design of suitable encoding-decoding procedures to meet certain control or filtering performance for the NSs. In this survey paper, our aim is to present a comprehensive review of the encoding-decodingbased control and filtering problems for different types of NSs.First, some basic introduction with respect to the coding-decoding mechanism is presented in terms of its engineering insights,specific properties and theoretical formulations. Then, the recent representative research progress in the design of the encodingdecoding protocols for various control and filtering problems is discussed. Some possible further research topics are finally outlined for the encoding-decoding-based NSs. 展开更多
关键词 Encoding-decoding-based communication mechanism encoding-decoding-based control encoding-decodingbased state estimation networked systems
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Brain Encoding and Decoding in fMRI with Bidirectional Deep Generative Models 认领 引用 被引量：2
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作者 Changde Du Jinpeng Li +1 位作者 Lijie Huang Huiguang He 《Engineering》 SCIE EI CAS 2019年第5期948-953,共6页
Brain encoding and decoding via functional magnetic resonance imaging(fMRI)are two important aspects of visual perception neuroscience.Although previous researchers have made significant advances in brain encoding and... Brain encoding and decoding via functional magnetic resonance imaging(fMRI)are two important aspects of visual perception neuroscience.Although previous researchers have made significant advances in brain encoding and decoding models,existing methods still require improvement using advanced machine learning techniques.For example,traditional methods usually build the encoding and decoding models separately,and are prone to overfitting on a small dataset.In fact,effectively unifying the encoding and decoding procedures may allow for more accurate predictions.In this paper,we first review the existing encoding and decoding methods and discuss the potential advantages of a“bidirectional”modeling strategy.Next,we show that there are correspondences between deep neural networks and human visual streams in terms of the architecture and computational rules.Furthermore,deep generative models(e.g.,variational autoencoders(VAEs)and generative adversarial networks(GANs))have produced promising results in studies on brain encoding and decoding.Finally,we propose that the dual learning method,which was originally designed for machine translation tasks,could help to improve the performance of encoding and decoding models by leveraging large-scale unpaired data. 展开更多
关键词 Brain encoding and decoding Functional magnetic resonance imaging Deep neural networks Deep generative models Dual learning
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FlexCENT:A frequency-flexible CEST imaging network combining frequency offset encoding and three-dimensional U-Net 认领 引用
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作者 Jingyi Yu Mengying Zhu +2 位作者 Yonggui Yang Congbo Cai Shuhui Cai 《Magnetic Resonance Letters》 EI CAS 2026年第2期40-57,共18页
This study proposes a deep learning-based method termed frequency-flexible chemical exchange saturation transfer(CEST)imaging network(FlexCENT),which enables robust CEST quantification across variable frequency offset... This study proposes a deep learning-based method termed frequency-flexible chemical exchange saturation transfer(CEST)imaging network(FlexCENT),which enables robust CEST quantification across variable frequency offset schemes without requiring retraining.FlexCENT integrates frequency offset encoding with a three-dimensional(3D)U-Net to process CEST images and frequency offsets as inputs and predict Lorentzian parameters of the 4-pool model(water,MT,APT,rNOE),including B0 inhomogeneity.By transforming frequency offsets into a continuous spectral feature representation,the frequency offset encoding allows FlexCENT to generalize to unseen frequency offset schemes.Trained on synthetic data generated from the 4-pool Lorentzian model,FlexCENT was validated through numerical simulations,tumor-bearing mouse experiments,and a human brain experiment,alongside comparisons with 4-pool Lorentzian fitting,DeepCEST,and LKAN networks.The results demonstrate that FlexCENT successfully quantified CEST parameters across all experiments,maintaining consistent performance under varying frequency offset conditions without retraining.It exhibited superior noise robustness in numerical simulations and enhanced anatomical delineation in vivo parametric mapping compared to other methods.In conclusion,by combining spectral information with spatial information,FlexCENT provides an efficient,flexible,and robust quantitative approach for CEST imaging.It significantly enhance the quantification capability and clinical potential of CEST imaging. 展开更多
关键词 Chemical exchange saturation transfer Deep learning Three-dimensional U-Net Frequency offset encoding
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A highly reliable encoding and decoding communication framework based on semantic information 认领 引用 被引量：1
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作者 Yichi Zhang Haitao Zhao +4 位作者 Kuo Cao Li Zhou Zhe Wang Yueling Liu Jibo Wei 《Digital Communications and Networks》 SCIE CSCD 2024年第3期509-518,共10页
Increasing research has focused on semantic communication,the goal of which is to convey accurately the meaning instead of transmitting symbols from the sender to the receiver.In this paper,we design a novel encoding ... Increasing research has focused on semantic communication,the goal of which is to convey accurately the meaning instead of transmitting symbols from the sender to the receiver.In this paper,we design a novel encoding and decoding semantic communication framework,which adopts the semantic information and the contextual correlations between items to optimize the performance of a communication system over various channels.On the sender side,the average semantic loss caused by the wrong detection is defined,and a semantic source encoding strategy is developed to minimize the average semantic loss.To further improve communication reliability,a decoding strategy that utilizes the semantic and the context information to recover messages is proposed in the receiver.Extensive simulation results validate the superior performance of our strategies over state-of-the-art semantic coding and decoding policies on different communication channels. 展开更多
关键词 Semantic information Semantic encoding method Context-based decoding method
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AI-aided early sensing,decoding,and lab-to-field breeding for drought-resilient crops 认领 引用
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作者 Muhammad Ahtasham Mushtaq Xia Tian +2 位作者 Cheng Dai Jiaming Zhang Chaozhi Ma 《Tropical Plants》 CSCD 2026年第1期9-26,共18页
Drought stands as the foremost abiotic constraint on global crop productivity.With climate change increasing the frequency and severity of drought events,a paradigm shift toward faster,more predictive,and mechanistica... Drought stands as the foremost abiotic constraint on global crop productivity.With climate change increasing the frequency and severity of drought events,a paradigm shift toward faster,more predictive,and mechanistically informed breeding is urgently required.This review synthesizes current advances to propose a connected'pixels-to-genes-to-fields'framework,integrating early drought phenotyping,causal gene discovery,AI-assisted laboratory engineering,and field-scale validation.We first examine how multimodal monitoring platforms,from satellites and UAVs to in-field sensors,coupled with advanced AI models,enable early stress detection and predictive risk mapping.We then distill the complex mechanistic pathways of drought response,spanning perception(e.g.,OSCA,MSL),signaling(ROS,CLE-ABA),stomatal regulation,and epigenetic memory,into structured biological priors.These priors,we argue,are crucial for guiding graph-based AI in identifying high-confidence genetic intervention points.At the field scale,we survey strategies where AI integrates genotype,environment,and phenomics data to model genotype-by-environment interactions and optimize trials via digital twins.At the laboratory scale,we summarize the role of AI in accelerating the design-build-test cycle through precision CRISPR design,synthetic expression engineering,and automated phenotyping.Finally,we highlight critical translational challenges,emphasizing the need for standardized data sharing,explainable AI,and responsible governance to bridge these innovations into the development of scalable,drought-resilient crop varieties. 展开更多
关键词 multimodal mo early sensing AI aided early drought phenotypingcausal gene discoveryai assisted lab field breeding phenotyping decoding climate change
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Encoding-Decoding-Based Recursive Filtering for Fractional-Order Systems 认领 引用 被引量：4
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作者 Bo Jiang Hongli Dong +1 位作者 Yuxuan Shen Shujuan Mu 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2022年第6期1103-1106,共4页
Dear editor,This letter focuses on the encoding-decoding-based recursive filtering problem for a class of fractional-order systems.For the purpose of protecting security of the wireless communication network,a dynamic... Dear editor,This letter focuses on the encoding-decoding-based recursive filtering problem for a class of fractional-order systems.For the purpose of protecting security of the wireless communication network,a dynamic-quantization-based encoding-decoding mechanism is introduced to encrypt the transmitted measurement.Specifically,the measurement outputs are first encoded by the encoder into codewords which are then transmitted over the wireless communication network.After received by the decoder,the codewords are decoded and then sent to the filter.In light of the mathematical properties of truncated Gaussian distribution,the variance of the encoding-decoding-induced error between the decoded measurement and the real measurement is derived.An upper bound on the filtering error covariance is first obtained based on the variance of the encoding-decoding-induced error.Then,the minimal upper bound is derived by choosing proper filter gain.Finally,the efficiency and superiority of the proposed algorithm are verified through a simulation example. 展开更多
关键词 decoder filtering error
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Mesolimbic Dopaminergic Encoding of Decision Value:Linking Phenotype-Specific Signals to Strategic Adaptation 认领 引用
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作者 Zhengyi Xu Dadao An +2 位作者 Jingjia Liang Lingyan Zheng Zhong Chen 《Neuroscience Bulletin》 SCIE CAS CSCD 2026年第4期937-940,共4页
Numerous neuropsychiatric disorders are characterized by significant impairments in decision-making function.These include impulsive decision-making in attention-deficit hyperactivity disorder(ADHD)[1],excessive risk-... Numerous neuropsychiatric disorders are characterized by significant impairments in decision-making function.These include impulsive decision-making in attention-deficit hyperactivity disorder(ADHD)[1],excessive risk-taking during manic episodes in bipolar disorder,and the distorted prioritization observed in substance use disorders.Decisionmaking involves reflecting on the outcomes of past actions and weighing the potential consequences of future actions.In this complex balancing process,mesolimbic dopamine influences reward value assessment,the strength of motivation,and the initiation of action[2]. 展开更多
关键词 phenotype specific signals bipolar disorderand strategic adaptation decision making reflecting outcomes past actions mesolimbic dopaminergic encoding distorted prioritization balancing processmesolimbic dopamine
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Hemodynamic decoding for multimodal connected cardiovascular healthcare 认领 引用
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作者 Yun Ke Ruijun Pan +5 位作者 Jun Li Wanghuai Xu Dalong Ni Zhou Li Zhong Lin Wang Fan Yang 《Science Bulletin》 SCIE EI CAS CSCD 2026年第13期3250-3252,共3页
Cardiovascular diseases(CVDs)remain the leading global cause of death,but their progression often remains clinically silent until acute events occur.Early warning signs frequently appear as subtle hemodynamic deviatio... Cardiovascular diseases(CVDs)remain the leading global cause of death,but their progression often remains clinically silent until acute events occur.Early warning signs frequently appear as subtle hemodynamic deviations,including changes in pulse-wave morphology,blood pressure(BP)dynamics,vascular stiffness,cardiac output surrogates,and tissue perfusion[1]. 展开更多
关键词 hemodynamic decoding pulse wave morphology tissue perfusion multimodal connected cardiovascular healthcare cardiovascular diseases cvds remain cardiovascular diseases hemodynamic deviationsincluding output surrogatesand
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