检索结果-内蒙古大学图书馆

International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions)

作者： Sasha Fathima Suhel Vinod Kumar Shukla Sonali Vyas Ved Prakash Mishra Bachelor of Science Information Technology Amity University Dubai UAE Department of Engineering and Architecture Amity University Dubai UAE Department of Computer Application University of Petroleum and Energy Studies Dehradun India

ISBN: (数字)9781728170169

ISBN: (纸本)9781728170176

Artificial Machine Intelligence is a very complicated topic. It involves creating machines that are capable of simulating knowledge. This paper examines some of the latest AI patterns and activities and then provides alternative theory of change in some of the popular and widely accepted postulates of today. Based on basic A.I. (Artificial Intelligence) structuring and working for this, System-Chatbots are made (or chatter bots). The paper shows that A.I is ever improving. As of now there isn't enough information on A.I. however this paper provides a new concept which addresses machine intelligence and sheds light on the potential of intelligent systems. The rise of chatbots in the finance sector is the latest disruptive force that has changed the way customers interact. In the banking industry, the introduction of Artificial Intelligence has driven chatbots and changed the face of the interaction between bank and customers. The banking sector plays an important role in development into any country. It also explores the existing usability of chatbot to assess whether it can fulfill customers ever-changing needs.

关键词： Business Machine learning Online banking Natural language processing

来源：评论

学校读者我要写书评

暂无评论

Proactive user engagement via friendly survey and data-driven methodologies

Proactive user engagement via friendly survey and data-drive...

引用

International Conference on Data Engineering Workshops

作者： Paolo Bethaz Riccardo Callà Tania Cerquitelli Arianna Montorsi Claudia De Giorgi Department of Control and Computer Engineering Politecnico di Torino Turin Italy Department of Applied Science and Technology Politecnico di Torino Turin Italy Department of Architecture and Design Politecnico di Torino Turin Italy

ISBN: (数字)9781728142661

ISBN: (纸本)9781728142678

In this paper, we present CAROL (unConventionAl suRvey methOdoLogy) to collect users' opinions, to analyze them effectively, and to graphically provide interesting summaries in near-real-time. CAROL has been designed to collect citizens' opinions, needs, and a perception that can be very useful to redesign cities and drive the innovation process. To this aim, particular importance is given to the architecture implemented to collect the data, which involves sending voice messages instead of text, allowing users greater freedom of expression. Moreover, to make the survey more friendly, an initial analysis is done in real-time thanks to an intuitive dashboard, which shows the first results in the form of graphs and charts, updated after each message. Finally, a more in-depth analysis can be carried out at the end of the survey, thanks to text-mining techniques adapted to the context. As use case, the proposed methodology has been tested in a public event organized by Politecnico di Torino and addressed to female students, with the aim to collect their ideas about new services/opportunities that can be offered to support women in STEM.

关键词： Real-time systems Servers computer architecture Technological innovation Data visualization Smart cities

来源：评论

学校读者我要写书评

暂无评论

A preliminary approach to composition classification of ultra-high energy cosmic rays 3rd

A preliminary approach to composition classification of ultr...

引用

3rd International Conference on Applied Physics, System Science and computers, APSAC 2018

作者： Guillén, Alberto Todero, Carlos Martínez, José Carlos Herrera, Luis Javier Computer Architecture and Technology Department University of Granada Granada Spain University of São Paulo Escola de Engenharia de Lorena São Paulo Brazil

ISBN: (纸本)9783030215064

The study of cosmic rays remains as one of the most challenging research fields in Physics. There are several reasons why it is a hot topic as it can reveal information on Galaxy life-cycle and the mystery of how these rays arrive to the Earth with such high energy values (beyond 1020 eV). The work presented in this paper tries to answer a first question regarding to the type of primary particle that hits the atmosphere. Starting from a subset of known variables, we will try to perform a classification using Deep Learning models. We also compare two different approaches: classical classification and continuous output (like in regression). The results obtained are quite encouraging as we were able to obtain high classification accuracy even with a very reduced subset of variables. © Springer Nature Switzerland AG 2019.

关键词： Cosmic rays

来源：评论

学校读者我要写书评

暂无评论

Special Section Guest Editorial: Advances in Breast Imaging

引用

Journal of Medical Imaging 2019年第3期6卷 031401-031401页

作者： Krupinski, Elizabeth A. Astley, Sue Marti, Robert Tornai, Martin Zwiggelaar, Reyer Emory University Department of Radiology and Imaging Sciences AtlantaGA United States University of Manchester Division of Informatics Imaging and Data Science Manchester United Kingdom University of Girona Department of Architecture and Computer Technology Girona Spain Duke University Departments of Radiology and Biomedical Engineering DurhamNC United States Aberystwyth University Department of Computer Science Aberystwyth United Kingdom

This guest editorial introduces the special section on Advances in Breast Imaging.

关键词： Digital breast tomosynthesis Breast imaging Breast cancer Breast Cancer Digital mammography computer simulations Mammography Optical filters Radiology

来源：评论

学校读者我要写书评

暂无评论

Benchmarking SpMV Methods on Many-Core Platforms 1st

Benchmarking SpMV Methods on Many-Core Platforms

引用

1st International Symposium on Benchmarking, Measuring, and Optimization, Bench 2018

作者： Xie, Biwei Jia, Zhen Bao, Yungang State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing China Department of Computer Science Princeton University Princeton United States University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9783030328122

SpMV is an essential kernel existing in many HPC and data center applications. Meanwhile, the emerging many-core hardware provides promising computational power, and is widely used for acceleration. Many methods and formats have been proposed aiming at better performance of SpMV on many-core platforms. However, there is still lack of a comprehensive comparison of SpMV methods to show their performance difference on sparse matrices with various sparse patterns. Moreover, there is still no systematic work to bridge the gap between SpMV performance and sparse pattern. In this paper, we investigate the performance of 27 SpMV methods with 1500+ sparse matrices on two many-core platforms: Intel Xeon Phi (Knights Landing 7250) and Nvidia GPGPU (Tesla M40). Our work shows that no single SpMV methods is optimal for all sparse patterns, but some methods can achieve approximately the best performance on most sparse matrices. We further select 13 features to describe the sparse pattern and analyze their correlations to the performance of each SpMV method. Our observations should help other researchers and practitioners to better understand the SpMV performance and provide implications to guide the selection of suitable SpMV method. © 2019, Springer Nature Switzerland AG.

关键词： Benchmarking

来源：评论

学校读者我要写书评

暂无评论

Corrigendum to “An analysis of urban sprawl growth and prediction using remote sensing and machine learning techniques” [J. S. Am. Earth Sci. Volume 142 , 15 August 2024, 104988]

引用

Journal of South American Earth Sciences 2025年 152卷

作者： Alanoud Al Mazroa Mashael Maashi Fadoua Kouki Kamal M. Othman Nahla Salih Mohamed Ahmed Elfaki Sabarunisha Begum S Department of Information Systems College of Computer and Information Sciences Princess Nourah bint Abdulrahman University (PNU) P.O. Box 84428 Riyadh 11671 Saudi Arabia Department of Software Engineering College of Computer and Information Sciences King Saud University Po box 103786 Riyadh 11543 Saudi Arabia Department of Financial and Banking Sciences Applied College at Muhail Aseer King Khalid University Saudi Arabia Department of Electrical Engineering College of Engineering and Islamic Architecture Umm Al-Qura University Makkah Saudi Arabia Department of Computer Science Applied College Imam Abdulrahman Bin Faisal University Saudi Arabia Department of Computer Science College of Computing and Information Technology Shaqra University Shaqra Saudi Arabia Department of Biotechnology P.S.R. Engineering College Sivakasi 626140 India

来源：评论

学校读者我要写书评

暂无评论

On the Comparison of Classic and Deep Keypoint Detector and Descriptor Methods

arXiv

引用

arXiv 2020年

作者： Bojanić, David Bartol, Kristijan Pribanić, Tomislav Petković, Tomislav Donoso, Yago Diez Mas, Joaquim Salvi University of Zagreb Faculty of Electrical Engineering and Computing Zagreb Croatia Yamagata University Faculty of Science Yamagata Japan University of Girona Department of Computer Architecture and Technology Girona Spain

The purpose of this study is to give a performance comparison between several classic hand-crafted and deep keypoint detector and descriptor methods. In particular, we consider the following classical algorithms: SIFT, SURF, ORB, FAST, BRISK, MSER, HARRIS, KAZE, AKAZE, AGAST, GFTT, FREAK, BRIEF and RootSIFT, where a subset of all combinations is paired into detector-descriptor pipelines. Additionally, we analyze the performance of two recent and perspective deep detector-descriptor models, LF-Net and SuperPoint. Our benchmark relies on the HPSequences dataset that provides real and diverse images under various geometric and illumination changes. We analyze the performance on three evaluation tasks: keypoint verification, image matching and keypoint retrieval. The results show that certain classic and deep approaches are still comparable, with some classic detector-descriptor combinations overperforming pretrained deep models. In terms of the execution times of tested implementations, SuperPoint model is the fastest, followed by ORB. The source code is published on https://***/kristijanbartol/keypoint-algorithms-benchmark. Copyright © 2020, The Authors. All rights reserved.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

VOR Adaptation on a Humanoid iCub Robot using a Spiking Cerebellar Model

arXiv

引用

arXiv 2020年

作者： Naveros, Francisco Luque, Niceto R. Ros, Eduardo Arleo, Angelo Department of Computer Architecture and Technology University of Granada Granada18014 Spain Sorbonne Université INSERM Institut de la Vision 17 rue Moreau ParisF-75012

We embed a spiking cerebellar model within an adaptive real-time control loop able to operate a real robotic body (iCub) when performing different Vestibulo-Ocular Reflex (VOR) tasks. The spiking neural network computation, including event- and time-driven neural dynamics, neural activity and spike-timing dependent plasticity (STDP) mechanisms, leads to a non-deterministic computation time caused by the neural activity volleys encountered during cerebellar simulation. This non-deterministic computation time motivates the integration of a real-time supervisor module able to ensure a well-orchestrated neural computation time and robot operation. Actually, our neurorobotic experimental set-up (VOR) benefits from the biological sensory motor delay between the cerebellum and the body to buffer the computational overloads as well as providing flexibility in adjusting the neural computation time and real-time operation. The real-time supervisor module provides for incremental countermeasures that dynamically slow down or speed-up the cerebellar simulation by either halting the simulation or disabling certain neural computation features (i.e STDP mechanisms, spike propagation, neural updates) to cope with the real-time constraints imposed by the real robot operation. This neurorobotic experimental set-up is applied to different horizontal and vertical VOR adaptive tasks that are widely used by the neuroscientific community to address cerebellar functioning. We aim to elucidate the manner in which the combination of the cerebellar neural substrate and the distributed plasticity shapes the cerebellar neural activity to mediate motor adaptation. This work underlies the need for a two-stage learning process to facilitate VOR acquisition. For Rev Copyright © 2020, The Authors. All rights reserved.

关键词： Neural networks

来源：评论

学校读者我要写书评

暂无评论

Satire Detection in Turkish News Articles: A Machine Learning Approach 5th

Satire Detection in Turkish News Articles: A Machine Learnin...

引用

5th International Conference on Big Data Innovations and Applications, Innovate-Data 2019

作者： Toçoğlu, Mansur Alp Onan, Aytuğ Faculty of Technology Department of Software Engineering Manisa Celal Bayar University Manisa45400 Turkey Faculty of Engineering and Architecture Department of Computer Engineering İzmir Katip Çelebi University İzmir35620 Turkey

ISBN: (纸本)9783030273545

With the advances in information and communication technologies, an immense amount of information has been shared on social media and microblogging platforms. Much of the online content contains elements of figurative language, such as, irony, sarcasm and satire. The automatic identification of figurative language can be viewed as a challenging task in natural language processing, where linguistic entities, such as, metaphor, analogy, ambiguity, irony, sarcasm, satire, and so on, have been utilized to express more complex meanings. The predictive performance of sentiment classification schemes may degrade if figurative language within the text has not been properly addressed. Satirical text is a way of figurative communication, where ideas/opinions regarding a people, event or issue is expressed in a humorous way to criticize that entity. Satirical news can be deceptive and harmful. In this paper, we present a machine learning based approach to satire detection in Turkish news articles. In the presented scheme, we utilized three kinds of features to model lexical information, namely, unigrams, bigrams and tri-grams. In addition, term-frequency, term-presence and TF-IDF based schemes have been taken into consideration. In the classification phase, Naïve Bayes, support vector machines, logistic regression and C4.5 algorithms have been examined. © 2019, Springer Nature Switzerland AG.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

Using the Model of a Functional Rationalizer of Consumer Behavior in Recommendation Systems for Managing the Transport Activity of the Urban Population 23

Using the Model of a Functional Rationalizer of Consumer Beh...

引用

23rd International Conference on Soft Computing and Measurements, SCM 2020

作者： Seliverstov, Yaroslav A. Seliverstov, Svytoslav A. Podoprigora, Nikolay V. Starichenkov, Alexey L. Naryshkin, Roman S. Solomenko Institute of Transport Problems Russian Academy of Sciences Institute of Computer Science and Technology Peter the Great St.Petersburg Polytechnic University Laboratory of Intelligent Transport Systems St. Petersburg Russia Saint Petersburg State University of Architecture and Civil Engineering Department of Ground Transportation Technological Machines St. Petersburg Russia Saint Petersburg Electrotechnical University 'LETI' Department of Ship Control Systems St. Petersburg Russia Saint Petersburg State University Department of Programming Technology St. Petersburg Russia

ISBN: (纸本)9781728196923

An overview of existing urban software mobile applications of the transport and economic direction is given. A model of a functional rationalizer of consumer behavior is being built. The software model of the functional rationalizer of consumer behavior (SM FRCB) was developed for the first time. PMFRCB allows the user to expand the number of his preferred needs (occupations, activities) during the daily cycle through intelligent recommendations. Also, SM FRCB allows you to optimize needs (activities, activities) at the cost and rate of their use. The SM FRCB is made in Python_3 using the libraries matplotlib, collections, numpy, pyplot, mplot3d. The analysis of consumer behavior before and after using the functional rationalizer model is carried out. The graphical results of a structural analysis of the costs of old and new consumer behavior, analysis of consumer behavior within the boundaries of the theory of possibilities and the model of transport behavior of a resident before and after applying the functional rationalizer model are presented. The prospects of further improving the SM FRCB are considered. © 2020 IEEE.

关键词： Smart city

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：