检索结果-内蒙古大学图书馆

Computer Science and Emerging Technologies (CSET), International Conference on

作者： Hazem Mohammad Zeidan Al-kaseasbeh Firas Rashed Wahsheh Fatma Susilawati Mohamad Julaily Aida Jusoh Mazen Mohammed Farea Archana K V MIS BI and Data Analysis Department Faculty of Business and Financial Science Irbid National University Irbid Jordan Department of Management Information Systems Faculty of Business Ajloun National University Ajloun Jordan Faculty of Informatics and Computing UniSZA Malaysia Faculty of Finance & Administrative Sciences Al-Madinah International University Malaysia Jain Deemed To Be University Bangalore India

The rapid advancement of technology has revolutionized the way organizations operate, resulting in the widespread adoption of Management Information Systems (MIS) as a crucial tool in decision-making processes. This research paper presents a comprehensive review of the effectiveness of Management Information Systems in facilitating decision-making within various organizational contexts. The paper begins with an exploration of the fundamental role of MIS in collecting, processing, and presenting relevant data to decision-makers. Emphasis is placed on understanding how MIS enables the integration of data from diverse sources and transforms it into actionable insights, empowering managers to make informed and timely decisions. Furthermore, this review delves into the different types of Management Information Systems, including Executive Information Systems (EIS), Decision Support Systems (DSS), and Transaction Processing Systems (TPS). By analyzing case studies and real-world examples, the paper highlights the specific applications and benefits of each system type in enhancing decision-making efficiency and accuracy. To assess the effectiveness of MIS in decision-making, the review examines key performance indicators, such as the speed and accuracy of decision-making processes, resource optimization, and overall organizational performance. The role of MIS in improving strategic planning, risk management, and competitive advantage is also thoroughly investigated. Additionally, the review explores potential challenges and limitations associated with the implementation and utilization of MIS in decision-making. Factors such as data security, system reliability, user training, and resistance to change are addressed, offering insights into strategies for mitigating these obstacles. The paper concludes with a synthesized analysis of the existing literature and identifies gaps for future research in the field of Management Information Systems and decision-making effectiveness

关键词：

来源：评论

学校读者我要写书评

暂无评论

Towards making the most of dialogue characteristics for neural chat translation

arXiv

引用

arXiv 2021年

作者： Liang, Yunlong Zhou, Chulun Meng, Fandong Xu, Jinan Chen, Yufeng Su, Jinsong Zhou, Jie Beijing Key Lab of Traffic Data Analysis and Mining Beijing Jiaotong University School of Informatics Xiamen University Pattern Recognition Center WeChat AI Tencent Inc China

Neural Chat Translation (NCT) aims to translate conversational text between speakers of different languages. Despite the promising performance of sentence-level and context-aware neural machine translation models, there still remain limitations in current NCT models because the inherent dialogue characteristics of chat, such as dialogue coherence and speaker personality, are neglected. In this paper, we propose to promote the chat translation by introducing the modeling of dialogue characteristics into the NCT model. To this end, we design four auxiliary tasks including monolingual response generation, cross-lingual response generation, next utterance discrimination, and speaker identification. Together with the main chat translation task, we optimize the NCT model through the training objectives of all these tasks. By this means, the NCT model can be enhanced by capturing the inherent dialogue characteristics, thus generating more coherent and speaker-relevant translations. Comprehensive experiments on four language directions (English⇔German and English⇔Chinese) verify the effectiveness and superiority of the proposed approach. Copyright © 2021, The Authors. All rights reserved.

关键词： Neural machine translation

来源：评论

学校读者我要写书评

暂无评论

A Review on Serious Games for Exercise Rehabilitation

arXiv

引用

arXiv 2022年

作者： Ning, Huansheng Wang, Zhenyu Li, Rongyang Zhang, Yudong Mao, Lingfeng The School of Computer and Communication Engineering University of Science and Technology Beijing Beijing100083 China Beijing Engineering Research Center for Cyberspace Data Analysis and Applications Beijing100083 China The School of Informatics University of Leicester LeicesterLE1 7RH United Kingdom

Disability is an important factor affecting today’s society. At the same time, more and more sub-healthy people are sick due to reduced body functions and cognitive functions. Exercise rehabilitation is a kind of physical therapy, which can recover the motor ability, cognitive ability, and mental state of them through exercise. But the traditional exercise rehabilitation has some drawbacks so that people who need exercise rehabilitation cannot stick to it. Therefore, many researchers improved the drawbacks of traditional exercise rehabilitation by serious games for exercise rehabilitation. Although there were abundant achievements in the games, its relevant technologies and representative games are not be summarized systematically. To fill this gap, we introduced the significance of the convergence of exercise rehabilitation and serious games. Then, our paper sorted out the development of the games based on interaction mode between games and players. Besides, we analyzed the characteristics of different user groups and the specific functions of the games corresponding to them, and gave our classification based on this. Based on the classification, we reviewed related studies of the games in the past decade years and gave some suggestions on game design and development. Finally, we proposed serval research directions worth studying about the games’ technology development, functional design and social popularization. Copyright © 2022, The Authors. All rights reserved.

关键词： Game design

来源：评论

学校读者我要写书评

暂无评论

Gradual (In)Compatibility of Fairness Criteria

arXiv

引用

arXiv 2021年

作者： Hertweck, Corinna Räz, Tim Institute for Data Analysis and Process Design Zurich University of Applied Sciences Winterthur Switzerland Department of Informatics University of Zurich Zurich Switzerland Institute of Philosophy University of Bern Bern Switzerland

Impossibility results show that important fairness measures (independence, separation, sufficiency) cannot be satisfied at the same time under reasonable assumptions. This paper explores whether we can satisfy and/or improve these fairness measures simultaneously to a certain degree. We introduce information-theoretic formulations of the fairness measures and define degrees of fairness based on these formulations. The information-theoretic formulations suggest unexplored theoretical relations between the three fairness measures. In the experimental part, we use the information-theoretic expressions as regularizers to obtain fairness-regularized predictors for three standard datasets. Our experiments show that a) fairness regularization directly increases fairness measures, in line with existing work, and b) some fairness regularizations indirectly increase other fairness measures, as suggested by our theoretical findings. This establishes that it is possible to increase the degree to which some fairness measures are satisfied at the same time-some fairness measures are gradually compatible. Copyright © 2021, The Authors. All rights reserved.

关键词： Information theory

来源：评论

学校读者我要写书评

暂无评论

On the Relationship between Regulatory and Exomic DNA Markers

On the Relationship between Regulatory and Exomic DNA Marker...

引用

2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020

作者： Postovalov, Sergey Berikov, Vladimir Bryzgalov, Leonid Korbolina, Elena Novosibirsk State Technical University Department of Theoretical and Applied Informatics Novosibirsk Russia Sobolev Institute of Mathematics Data Analysis Laboratory Novosibirsk Russia Institute of Cytology and Genetics Laboratory of Gene Expression Regulation Novosibirsk Russia

ISBN: (纸本)9781728131658

A problem of regulatory single nucleotide polymorphism (SNP) prediction based on the presence of exomic SNPs is considered. Usually, regulatory polymorphisms are located in the non-coding region of DNA, therefore they cannot be determined during RNA sequencing. Thus, there is a problem of regulatory polymorphisms prediction by the presence of certain polymorphisms in the DNA coding region. The prediction can be made if there is a strong relationship between regulatory and exomic polymorphism. Chi-square test statistic and normalized Hamming distance for linkage disequilibrium are compared. The results of study of relationship of some regulatory SNP with exomic SNP are presented. To study the relationship between polymorphisms, the polymorphisms already found from the project database of 1000 genomes have been used. The usage of regression models for this problem is discussed. In general, there is strong relationship between regulatory SNP and exomic SNP and linear regression model significantly describes the relationship between regulatory SNP and exomic SNPs very well, however in some cases usage of more complicated types of regression models is necessary. © 2020 IEEE.

关键词： Hamming distance

来源：评论

学校读者我要写书评

暂无评论

Accessing the impact of functional variants on human phenotypes by transcriptome analysis in individuals carrying different rSNP alleles

Accessing the impact of functional variants on human phenoty...

引用

2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020

作者： Korbolina, Elena Bryzgalov, Leonid Postovalov, Sergey Nedelko, Victor Berikov, Vladimir Merkulova, Tatiana Institute of Cytology and Genetics Laboratory of Gene Expression Regulation Novosibirsk Russia Novosibirsk State Technical University Department of Theoretical and Applied Informatics Novosibirsk Russia Sobolev Institute of Mathematics Data Analysis Lab Novosibirsk Russia

ISBN: (纸本)9781728195971

the problem of functional annotation of regulatory single nucleotide polymorphisms is considered. Previously we have identified 1476 human regulatory SNPs through an integrated epigenome and transcriptome analysis. Here we employed the analysis of differentially expressed genes in order to explore the extensive impact of these regulatory variants on the phenotypic landscape. © 2020 IEEE.

关键词： Genes

来源：评论

学校读者我要写书评

暂无评论

Set-valued prediction in hierarchical classification with constrained representation complexity

arXiv

引用

arXiv 2022年

作者： Mortier, Thomas Hüllermeier, Eyke Dembczynski, Krzysztof Waegeman, Willem Dept. of Data Analysis and Mathematical Modelling Ghent University Coupure links 653 Ghent Belgium Institute of Informatics LMU Munich Akademiestr. 7 Munich Germany Institute of Computing Science Poznań University of Technology Piotrowo 2 Poznan Poland Yahoo! Research Broadway NY770 United States

Set-valued prediction is a well-known concept in multi-class classification. When a classifier is uncertain about the class label for a test instance, it can predict a set of classes instead of a single class. In this paper, we focus on hierarchical multiclass classification problems, where valid sets (typically) correspond to internal nodes of the hierarchy. We argue that this is a very strong restriction, and we propose a relaxation by introducing the notion of representation complexity for a predicted set. In combination with probabilistic classifiers, this leads to a challenging inference problem for which specific combinatorial optimization algorithms are needed. We propose three methods and evaluate them on benchmark datasets: a naïve approach that is based on matrix-vector multiplication, a reformulation as a knapsack problem with conflict graph, and a recursive tree search method. Experimental results demonstrate that the last method is computationally more efficient than the other two approaches, due to a hierarchical factorization of the conditional class distribution. Copyright © 2022, The Authors. All rights reserved.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

Cycle Encoding of a StyleGAN Encoder for Improved Reconstruction and Editability

arXiv

引用

arXiv 2022年

作者： Mao, Xudong Cao, Liujuan Gnanha, Aurele T. Yang, Zhenguo Li, Qing Ji, Rongrong Guangdong Key Laboratory of Big Data Analysis and Processing Sun Yat-Sen University China School of Informatics Xiamen University China Department of Computer Science City University of Hong Kong China Department of Computer Science Guangdong University of Technology China Department of Computing Hong Kong Polytechnic University China

GAN inversion aims to invert an input image into the latent space of a pre-trained GAN. Despite the recent advances in GAN inversion, there remain challenges to mitigate the tradeoff between distortion and editability, i.e. reconstructing the input image accurately and editing the inverted image with a small visual quality drop. The recently proposed pivotal tuning model makes significant progress towards reconstruction and editability, by using a two-step approach that first inverts the input image into a latent code, called pivot code, and then alters the generator so that the input image can be accurately mapped into the pivot code. Here, we show that both reconstruction and editability can be improved by a proper design of the pivot code. We present a simple yet effective method, named cycle encoding, for a high-quality pivot code. The key idea of our method is to progressively train an encoder in varying spaces according to a cycle scheme: W→W+→W. This training methodology preserves the properties of both W and W+ spaces, i.e. high editability of W and low distortion of W+. To further decrease the distortion, we also propose to refine the pivot code with an optimization-based method, where a regularization term is introduced to reduce the degradation in editability. Qualitative and quantitative comparisons to several state-of-the-art methods demonstrate the superiority of our approach. Copyright © 2022, The Authors. All rights reserved.

关键词： Image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Segmentation of Weakly Visible Environmental Microorganism Images Using Pair-wise Deep Learning Features

arXiv

引用

arXiv 2022年

作者： Kulwa, Frank Li, Chen Grzegorzek, Marcin Rahaman, Md Mamunur Shirahama, Kimiaki Kosov, Sergey Microscopic Image and Medical Image Analysis Group MBIE College Northeastern University Shenyang110169 China Institute for Medical Informatics University of Lübeck Ratzeburger Allee 160 Lübeck23538 Germany Faculty of Science and Engineering Kindai University Kindai Japan Faculty of Data Engineering Jacobs University Bremen Bremen Germany

The use of Environmental Microorganisms (EMs) offers a highly efficient, low cost and harmless remedy to environmental pollution, by monitoring and decomposing of pollutants. This relies on how the EMs are correctly segmented and identified. With the aim of enhancing the segmentation of weakly visible EM images which are transparent, noisy and have low contrast, a Pairwise Deep Learning Feature Network (PDLF-Net) is proposed in this study. The use of PDLFs enables the network to focus more on the foreground (EMs) by concatenating the pairwise deep learning features of each image to different blocks of the base model SegNet. Leveraging the Shi and Tomas descriptors, we extract each image’s deep features on the patches, which are centred at each descriptor using the VGG-16 model. Then, to learn the intermediate characteristics between the descriptors, pairing of the features is performed based on the Delaunay triangulation theorem to form pairwise deep learning features. In this experiment, the PDLF-Net achieves outstanding segmentation results of 89.24%, 63.20%, 77.27%, 35.15%, 89.72%, 91.44% and 89.30% on the accuracy, IoU, Dice, VOE, sensitivity, precision and specificity, respectively. © 2022, CC BY-SA.

关键词： Microorganisms

来源：评论

学校读者我要写书评

暂无评论

3D Skull Completion via Two-stage Conditional Diffusion-Based Signed Distance Fields

3D Skull Completion via Two-stage Conditional Diffusion-Base...

引用

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Zhenhong Liu Xudong Ru Xingce Wang Zhongke Wu Yi-Cheng Zhu Chong Zhang Alejandro F. Frangi School of Artificial Intelligence Beijing Normal University Beijing China Department of Neurology Peking Union Medical College Hospital Beijing China Bioimage Analysis Barcelona Spain Department of Computer Science Christabel Pankhurst Institute Division of Informatics Imaging and Data Sciences School of Health Sciences School of Engineering The University of Manchester UK Department of Cardiovascular Sciences and the Department of Electrical Engineering Medical Imaging Research Centre (MIRC) KU Leuven Leuven Belgium Alan Turing Institute London UK

ISBN: (数字)9798350386226

ISBN: (纸本)9798350386233

A fast and fully automatic design of 3D cranial implants is highly desired in cranioplasty, and is key to the treatment of skull trauma. We have defined the repair of skull defects as a 3D shape completion task by proposing a two-stage diffusion model based on the representation of 3D shapes using signed distance function (SDF). Specifically, we design a diffusion model conditioned on partial shapes, we compress the 3D shape into a compact latent representation using the encoder in the vector quantized variational autoencoder (VQ-VAE) and learn the diffusion model based on this compressed discrete representation. Encoding the latent space with the autoencoder can achieve high-quality 3D cranial shape completion. In order to accurately capture local and fine-grained shape details, the training data is geometrically encoded from a compactly learned code-book. The two-stage diffusion generator with a coarse-to-fine approach possesses precise and expressive structural modeling capabilities to ensure the supplementation of detailed geometric information. Experimental results verified sufficient expressiveness of our model with generating high-fidelity results with fine-grained local details, outperforming the state-of-the-art methods.

关键词： Solid modeling Three-dimensional displays Shape Autoencoders Training data Implants Diffusion models Skull Vectors Cranial

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：