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RepBoTNet-CESA:An Alzheimer’s Disease Computer Aided Diagnosis Method Using Structural Reparameterization BoTNet and Cubic Embedding Self Attention

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Computers, Materials & Continua 2024年第5期79卷 2879-2905页

作者： Xiabin Zhang zhongyi hu Lei Xiao hui huang College of Computer Science and Artificial Intelligence Wenzhou UniversityWenzhou325035China Key Laboratory of Intelligence Image Processing and Analysis Wenzhou UniversityWenzhou325035China

Various deep learning models have been proposed for the accurate assisted diagnosis of early-stage Alzheimer’s disease(AD).Most studies predominantly employ Convolutional Neural Networks(CNNs),which focus solely on local features,thus encountering difficulties in handling global *** contrast to natural images,Structural Magnetic Resonance Imaging(sMRI)images exhibit a higher number of channel ***,during the Position Embedding stage ofMulti Head Self Attention(MHSA),the coded information related to the channel dimension is *** tackle these issues,we propose theRepBoTNet-CESA network,an advanced AD-aided diagnostic model that is capable of learning local and global features *** combines the advantages of CNN networks in capturing local information and Transformer networks in integrating global information,reducing computational costs while achieving excellent classification ***,it uses the Cubic Embedding Self Attention(CESA)proposed in this paper to incorporate the channel code information,enhancing the classification performance within the Transformer ***,the RepBoTNet-CESA performs well in various AD-aided diagnosis tasks,with an accuracy of 96.58%,precision of 97.26%,and recall of 96.23%in the AD/NC task;an accuracy of 92.75%,precision of 92.84%,and recall of 93.18%in the EMCI/NC task;and an accuracy of 80.97%,precision of 83.86%,and recall of 80.91%in the AD/EMCI/LMCI/NC *** demonstrates that RepBoTNet-CESA delivers outstanding outcomes in various AD-aided diagnostic ***,our study has shown that MHSA exhibits superior performance compared to conventional attention mechanisms in enhancing ResNet ***,the Deeper RepBoTNet-CESA network fails to make further progress in AD-aided diagnostic tasks.

关键词： Alzheimer CNN structural reparameterization multi head self attention computer aided diagnosis

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基于ERNIE和DPCNN的科技文献摘要结构要素识别

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数据分析与知识发现 2024年第1期8卷 125-134页

作者：胡忠义税典程吴江武汉大学信息管理学院武汉430072 武汉大学电子商务研究与发展中心武汉430072

【目的】构建一种高效的科技文献摘要结构要素识别模型,实现对一段式摘要的结构要素识别。【方法】以知识增强语义表示模型(ERNIE)对科技文献的摘要文本进行表征,通过深度金字塔卷积神经网络(DPCNN)进行文本特征抽取,构建科技文献摘要... 详细信息

【目的】构建一种高效的科技文献摘要结构要素识别模型,实现对一段式摘要的结构要素识别。【方法】以知识增强语义表示模型(ERNIE)对科技文献的摘要文本进行表征,通过深度金字塔卷积神经网络(DPCNN)进行文本特征抽取,构建科技文献摘要结构要素识别模型。【结果】所构建的模型在图书情报领域数据集上识别文献摘要结构要素的精确率、召回率、F1宏平均值均高于0.95,比基准模型具有更好的识别性能。【局限】使用的语料具有一定的领域倾向,模型的领域通用性还有待验证。【结论】构建的模型可以更好地对文本特征进行抽取,有效提升了科技文献摘要结构要素的识别性能。

关键词：摘要结构要素识别文本表征 ERNIE DPCNN

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Comprehensive Learning Strategy Enhanced Chaotic Whale Optimization for High-dimensional Feature Selection

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Journal of Bionic Engineering 2023年第6期20卷 2973-3007页

作者： Hanjie Ma Lei Xiao zhongyi hu Ali Asghar Heidari Myriam Hadjouni Hela Elmannai huiling Chen Key Laboratory of Intelligent Informatics for Safety&Emergency of Zhejiang Province Wenzhou UniversityWenzhou325035China Department of Computer Sciences College of Computer and Information SciencePrincess Nourah Bint Abdulrahman UniversityP.O.Box 8442811671 RiyadhSaudi Arabia Department of Information Technology College of Computer and Information SciencePrincess Nourah Bint Abdulrahman UniversityP.O.Box 8442811671 RiyadhSaudi Arabia

Feature selection(FS)is an adequate data pre-processing method that reduces the dimensionality of datasets and is used in bioinformatics,finance,and *** FS approaches,however,frequently struggle to identify the most important characteristics when dealing with high-dimensional *** alleviate the imbalance of explore search ability and exploit search ability of the Whale Optimization Algorithm(WOA),we propose an enhanced WOA,namely SCLWOA,that incorporates sine chaos and comprehensive learning(CL)*** them,the CL mechanism contributes to improving the ability to *** the same time,the sine chaos is used to enhance the exploitation capacity and help the optimizer to gain a better initial *** hybrid performance of SCLWOA was evaluated comprehensively on IEEE CEC2017 test functions,including its qualitative analysis and comparisons with other *** results demonstrate that SCLWOA is superior to other algorithms in accuracy and converges faster than ***,the variant of Binary SCLWOA(BSCLWOA)and other binary optimizers obtained by the mapping function was evaluated on 12 UCI data ***,BSCLWOA has proven very competitive in classification precision and feature reduction.

关键词： Feature selection Whale Optimization Algorithm Binary optimizer Global optimization

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Color coded metadevices toward programmed terahertz switching

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Light(Science & Applications) 2024年第7期13卷 1383-1392页

作者： Weibao He Xiang’ai Cheng Siyang hu Ziheng Ren zhongyi Yu Shun Wan Yuze hu Tian Jiang College of Advanced Interdisciplinary Studies National University of Defense TechnologyChangshaChina. Nanhu Laser Laboratory National University of Defense TechnologyChangshaChina. hunan Provincial Key Laboratory of High Energy Laser Technology National University of Defense TechnologyChangshaChina. Institute for Quantum Science and Technology College of ScienceNational University of Defense TechnologyChangshaChina

Terahertz modulators play a critical role in high-speed wireless communication,non-destructive imaging,and so on,which have attracted a large amount of research ***,all-optical terahertz modulation,an ultrafast dynamical control approach,remains to be limited in terms of encoding and *** we experimentally demonstrated an optical-programmed terahertz switching realized by combining optical metasurfaces with the terahertz metasurface,resulting in 2-bit dual-channel terahertz *** terahertz metasurface,made up of semiconductor islands and artificial microstructures,enables effective all-optical programming by providing multiple frequency channels with ultrafast modulation at the nanosecond ***,optical metasurfaces covered in terahertz metasurface alter the spatial light field distribution to obtain color *** to the time-domain coupled mode theory analysis,the energy dissipation modes in terahertz metasurface can be independently controlled by color excitation,which explains the principle of 2-bit encoding *** work establishes a platform for all-optical programmed terahertz metadevices and may further advance the application of composite metasurface in terahertz manipulation.

关键词： terahertz surface excitation

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履带式巡检机器人设计与仿真分析

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煤矿机械 2024年第2期45卷 19-21页

作者：许永超黄雪涛胡忠义王宪成刘子豪山东交通学院汽车工程学院济南250300

针对矿井作业复杂危险工况对矿井工人安全存在很大威胁的问题,设计了一款矿用履带式智能巡检机器人。基于STM32单片机搭建机器人的控制系统,分析了机器人的越障性能,通过多体动力学Recurdyn软件对越障性能进行了仿真验证,最后制造样机... 详细信息

针对矿井作业复杂危险工况对矿井工人安全存在很大威胁的问题,设计了一款矿用履带式智能巡检机器人。基于STM32单片机搭建机器人的控制系统,分析了机器人的越障性能,通过多体动力学Recurdyn软件对越障性能进行了仿真验证,最后制造样机通过试验验证了该履带式巡检机器人设计的合理性与可行性。

关键词：履带式巡检机器人越障性能仿真分析

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Profit Guided or Statistical Error Guided? A Study of Stock Index Forecasting Using Support Vector Regression

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Journal of Systems Science & Complexity 2017年第6期30卷 1425-1442页

作者： hu zhongyi BAO Yukun CHIONG Raymond XIONG Tao School of Information Management Wuhan University School of Management Huazhong University of Science and Technology School of Electrical Engineering and Computing The University of Newcastle College of Economics and Management Huazhong Agricultural University

Stock index forecasting has been one of the most widely investigated topics in the field of financial forecasting. Related studies typically advocate for tuning the parameters of forecasting models by minimizing learning errors measured using statistical metrics such as the mean squared error or mean absolute percentage error. The authors argue that statistical metrics used to guide parameter tuning of forecasting models may not be meaningful, given the fact that the ultimate goal of forecasting is to facilitate investment decisions with expected profits in the future. The authors therefore introduce the Sharpe ratio into the process of model building and take it as the profit metric to guide parameter tuning rather than using the commonly adopted statistical metrics. The authors consider three widely used trading strategies, which include a na¨?ve strategy, a filter strategy and a dual moving average strategy, as investment scenarios. To verify the effectiveness of the proposed profit guided approach, the authors carry out simulation experiments using three global mainstream stock market indices. The results show that profit guided forecasting models are competitive, and in many cases produce significantly better performances than statistical error guided models. This implies thatprofit guided stock index forecasting is a worthwhile alternative over traditional stock index forecasting practices.

关键词： Financial market investment trading strategy parameter optimization stock index forecasting support vector regression

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IMAGE SUPER-RESOLUTION RECONSTRUCTION BY huBER REGULARIZATION AND TAILORED FINITE POINT METHOD

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Journal of Computational Mathematics 2024年第2期42卷 313-336页

作者： Wenli Yang zhongyi huang Wei Zhu School of Mathematics China University of Mining and TechnologyXuzhou 221116China Department of Mathematics Tsinghua UniversityBeijing 100084China Department of Mathematics University of AlabamaTuscaloosaAL 35487USA

In this paper,we propose using the tailored finite point method(TFPM)to solve the resulting parabolic or elliptic equations when minimizing the huber regularization based image super-resolution model using the augmented Lagrangian method(ALM).The hu-ber regularization based image super-resolution model can ameliorate the staircase for restored *** employs the method of weighted residuals with collocation tech-nique,which helps get more accurate approximate solutions to the equations and reserve more details in restored *** compare the new schemes with the Marquina-Osher model,the image super-resolution convolutional neural network(SRCNN)and the classical interpolation methods:bilinear interpolation,nearest-neighbor interpolation and bicubic *** experiments are presented to demonstrate that with the new schemes the quality of the super-resolution images has been *** these,the existence of the minimizer of the huber regularization based image super-resolution model and the convergence of the proposed algorithm are also established in this paper.

关键词： Image super-resolution Variational model Augmented Lagrangian methods Tailored finite point method

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Two-Dimensional Conductive Metal-Organic Framework Reinforced Spinterface in Organic Spin Valves

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CCS Chemistry 2024年第1期6卷 208-217页

作者： Xiaoyu Song Chao Jin Hongliang Chen Shuaishuai Ding zhongyi Liu Yang Li Xiaoli Yan Wenbo Mi Long Chen Wenping hu Department of Chemistry Tianjin Key Laboratory of Molecular Optoelectronic ScienceTianjin UniversityTianjin 300072 School of Chemistry and Chemical Engineering Yantai UniverisityYantaiShandong 264005 Tianjin Key Laboratory of Low Dimensional Materials Physics and Processing Technology School of ScienceTianjin UniversityTianjin 300072 State Key Laboratory of Supramolecular Structure and Materials College of ChemistryJilin UniversityChangchunJilin 130012

Interface engineering in device fabrication is a significant but complicated *** great successes have been achieved by conventional physical in situ or ex situ methods,it still suffers from complicated *** this work,we present a facile method for fabricating phthalocyanine(Pc)-based two-dimensional conductive metal–organic framework(MOF)*** on PcM-Cu(M=Ni,Cu,H_(2))MOF films,spin valves with a vertical configuration of La_(0.67)Sr_(0.33)MnO_(3)/PcM-Cu MOFs/Co were constructed successfully,and exhibited notably high negative magnetoresistance(MR)up to -22% at 50 *** penetrated Co atoms coordinated with the dehydrogenated hydroxy groups in the MOFs resulting in an antiferromagnetic layer of the PcM-Cu-Co hybrid ***,a significant exchange bias effect was demonstrated at the PcM-Cu MOF/Co interface,beneficial for the MR ***,our present study provides new insights into developing high-performance organic spin valves via de novo molecular design.

关键词： two-dimensional conductive metal-organic framework two-dimensional polymer phthalocyanine spintronics organic spin valve

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基于URL多粒度特征融合的钓鱼网站识别

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数据分析与知识发现 2022年第11期6卷 103-110页

作者：胡忠义张硕果吴江武汉大学信息管理学院武汉430072 武汉大学电子商务研究与发展中心武汉430072

【目的】缓解钓鱼网站识别中URL表征不充分的问题,构建一种基于URL多粒度特征融合的识别模型。【方法】分别基于独热编码和BERT深度表征URL的字符级和单词级特征,进而通过融合两种粒度的深度特征构建钓鱼网站识别模型。【结果】所构建... 详细信息

【目的】缓解钓鱼网站识别中URL表征不充分的问题,构建一种基于URL多粒度特征融合的识别模型。【方法】分别基于独热编码和BERT深度表征URL的字符级和单词级特征,进而通过融合两种粒度的深度特征构建钓鱼网站识别模型。【结果】所构建的融合多粒度URL特征的识别模型在实验数据集上的准确率、召回率、F1值以及AUC值分别达到0.96、0.98、0.97、0.97,比单一粒度的表征模型、基准分类器和以往模型具有更好的识别性能。【局限】除了URL特征表征,有待进一步融合包括URL页面内容在内的更多源特征。【结论】构建的模型可以更全面地深度表征URL特征,有效提升了钓鱼网站的识别准确性。

关键词：钓鱼网站识别特征融合 BERT Word2Vec CNN LSTM

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基于IPA模型的乡村旅游景区游客满意度分析

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数据分析与知识发现 2023年第7期7卷 89-99页

作者：吴江李秋贝胡忠义刘洋武汉大学电子商务研究与发展中心武汉430072 武汉大学信息管理学院武汉430072

【目的】基于在线评论构建游客满意度分析框架,为乡村旅游的可持续发展提供新的研究视角。【方法】围绕游客对景区的评论数据,构建基于IPA模型的游客满意度分析框架,采用无监督方法抽取游客对于景区的细粒度属性观点,并基于SnowNLP和XGB... 详细信息

【目的】基于在线评论构建游客满意度分析框架,为乡村旅游的可持续发展提供新的研究视角。【方法】围绕游客对景区的评论数据,构建基于IPA模型的游客满意度分析框架,采用无监督方法抽取游客对于景区的细粒度属性观点,并基于SnowNLP和XGBoost分别评估游客对不同属性的感知情感及感知重要性,进而采用IPA模型对景区属性的满意度进行分析。【结果】实证分析表明,所构建的满意度分析框架可以识别出用户观点,并分析不同属性的满意度。其中,案例地宏村景区的优势属性包括自然风光和娱乐,可作为景区重点宣传内容,而消费感知、商业化以及旅游服务属于重点改进属性,此外,客流量、餐饮、基础设施以及景区管理作为低优先级发展选项,在资源充足的情况下可进行有序改进。【局限】实验数据集在评分上存在数据不均衡问题。【结论】根据案例地游客满意度分析结果,探讨了促进景区可持续发展的管理和营销策略,为旅游领域相关问题提供了新思路。

关键词：用户评论乡村旅游游客满意度 IPA模型

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