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检索条件"任意字段=Proceedings of the 2019 8th International Conference on Computing and Pattern Recognition"

共 788 条记录，以下是191-200 订阅

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13th international conference on Genetic and Evolutionary computing, ICGEC 2019

13th International Conference on Genetic and Evolutionary Co...

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13th international conference on Genetic and Evolutionary computing, ICGEC 2019

ISBN: (纸本)9789811533075

the proceedings contain 64 papers. the special focus in this conference is on Genetic and Evolutionary computing. the topics include: Research on optimizing parameters of pitch angle controller based on genetic algorithm;research and simulation analysis of brake energy recovery control strategy for pure electric vehicles;research on coupling vibration of disk crack and shaft crack of rotor system based on finite element method;structure design and analysis of elderly electric vehicle based on solar energy;structural design and analysis of ring steering wheel for old-age walking vehicle;rule-based graded braking for unsignalized intersection collision avoidance via vehicle-to-vehicle communication;a novel measure for trajectory similarity;Ts-DBSCAN: To detect trajectory anomaly for transportation vehicles;abnormal Analysis of Electricity Data Acquisition in Electricity Information Acquisition System;ant Colony Optimization Algorithm for Network Planning in Heterogeneous Cellular Networks;a method of power network security analysis considering cascading trip;construction Area Identification Method Based on Spatial-Temporal Trajectory of Slag Truck;study on hazardous scenario analysis of high-tech facilities and emergency response mechanism of science and technology parks based on IoT;power flow calculation based newton-raphson calculation;research on the application of instance segmentation algorithm in the counting of metro waiting population;Implementation of android audio equalizer based on FFmpeg;can deep neural networks learn broad semantic concepts of images?;A fast data hiding algorithm for H.264/AVC video in bitstream domain;an efficient pattern recognition technology for numerals of lottery and invoice;An improved YOLOV3 algorithm for pedestrian detection on UAV imagery.

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ParBio'19-8th Workshop on Parallel and Cloud-based Bioinformatics and Biomedicine 19

ParBio'19-8th Workshop on Parallel and Cloud-based Bioinform...

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10th ACM international conference on Bioinformatics, Computational Biology and Health Informatics (ACM-BCB)

作者： Agapito, Giuseppe Lloyd, Wes Cannataro, Mario Magna Graecia Univ Catanzaro Catanzaro Italy Univ Washington Tacoma WA USA

ISBN: (纸本)9781450366663

the 8th internationalWorkshop on Parallel and Cloud-based Bioinformatics and Biomedicine (ParBio 2019) aims to bring together international experts in the fields of high performance, cloud computing, computational biology and medicine, to focus on research issues, and challenges in the development of large-scale biological and biomedical databases. Highlighting problems and opportunities of moving biomedical and health applications to the cloud.

关键词： analysis pipeline cloud computing parallel computing bioinformatics biomedicine

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4th international conference on Research in Intelligent and computing in Engineering, RICE 2019

4th International Conference on Research in Intelligent and ...

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4th international conference on Research in Intelligent and computing in Engineering, RICE 2019

ISBN: (纸本)9789811527791

the proceedings contain 123 papers. the special focus in this conference is on Research in Intelligent and computing in Engineering. the topics include: Concept of cancer treatment by heating methodology of microwave;dynamics of self-guided rocket control with the optimal angle coordinate system combined with measuring target parameters for frequency modulated continuous wave radar;an approach of utilizing binary bat algorithm for pattern nulling;An application of WSN in smart aquaculture farming;a newly developed approach for transmit beamforming in multicast transmission;post-quantum commutative deniable encryption algorithm;Indoor positioning using BLE iBeacon, smartphone sensors, and distance-based position correction algorithm;assessing the transient structure with respect to the voltage stability in large power system;cellular automata approach for optimizing radio coverage: A case study on archipelago surveillance;smart bicycle: IoT-based transportation service;LNA nonlinear distortion impacts in multichannel direct RF digitization receivers and linearization techniques;novel approach to detect and extract the contents in a picture or image;Modified biological model of meat in the frequency range from 50 Hz to 1 MHz;A research on clustering and identifying automated communication in the HTTP environment;Sequential all-digital background calibration for channel mismatches in time-interleaved ADC;Comparison BICM-ID to turbo code in wide band communication systems in the future;a design of a vestibular disorder evaluation system;about model separation techniques and control problems of wheeled mobile robots;Fuzzy supply chain performance measurement model based on SCOR 12.0;lightweight convolution neural network based on feature concatenate for facial expression recognition;light fidelity system.

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Aspects Regarding the Electromagnetic pattern for the Operating Mechanism of a Medium Voltage Circuit Breaker 8

Aspects Regarding the Electromagnetic Pattern for the Operat...

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8th international conference on Modern Power Systems (MPS)

作者： Micu, Marian-Bogdan Adam, Maricel Andrusca, Mihai Deac, Cosmin Gheorghe Asachi Tech Univ Iasi Fac Elect Engn Dept Power Engn Iasi Romania

the paper presents a possibility to determine the electromagnetic pattern for the reinforcement electromotor, for the opening and closing electromagnets of the operating mechanism for a medium voltage circuit breaker ... 详细信息

ISBN: (纸本)9781728107509

关键词： current electromagnetic field operating mechanism circuit breaker

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Training Effective Model for Real-Time Detection of NSFW Photos and Drawings 8th

Training Effective Model for Real-Time Detection of NSFW Pho...

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8th international conference on Analysis of Images, Social Networks, and Texts (AIST)

作者： Zhelonkin, Dmirty Karpov, Nikolay Natl Res Univ Higher Sch Econ 25-12 Bolshaya Pechyorskaya Str Nizhnii Novgorod 603155 Russia

ISBN: (纸本)9783030395759;9783030395742

Convolutional Neural Networks (CNN) show state of the art results on variety of tasks. the paper presents the scheme how to prepare highly accurate (97% on the test set) and fast CNN for detection not suitable or safe for work (NSFW) images. the present research focuses on investigating questions concerning identifying NSFW pictures with nudity by neural networks. One of the main features of the present work is considering the NSFW class of images not only in terms of natural human nudity but also include cartoons and other drawn pictures containing obscene images of the primary sexual characteristics. Another important considered issue is collecting representative dataset for the problem. the research includes the review of existing nudity detection methods, which are provided by traditional machine learning techniques and quite new neural networks based approaches. In addition, several important problems in NSFW pictures filtering are considered in the study.

关键词： Image recognition pattern recognition Not suitable or safe for work Convolutional neural networks Pornography detection

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Adaptive method of color selection in application to social media images 8

Adaptive method of color selection in application to social ...

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Russian Advances in Fuzzy Systems and Soft computing: Selected Contributions to the 8th international conference on "Fuzzy Systems, Soft Soft computing and Intelligent Technologies",FSSCIT 2020

作者： Bushmelev, Fedor Abramov, Maksim Tulupyeva, Tatiana Saint-Petersburg State University 7/9 Universitetskaya Emb. Saint-Petersburg199034 Russia Saint-Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences 14-th Linia VO 39 Saint-Petersburg199178 Russia North-West Institute of Management of RANEPA Sredny prospect VO 57/43 Saint-Petersburg199178 Russia

the paper presents an approach that allows one to obtain a numerical understanding of the emotional state of a social media user based on images published by him. the proposed algorithm is to apply an adapted color selections method to images. the work can be useful for determining and refining the assessments of the security of the user of the information system against social engineering attacks and their further research. © 2020 CEUR-WS. All rights reserved.

关键词： Security of data

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How old users are? Community analysis. 8

How old users are? Community analysis.

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Russian Advances in Fuzzy Systems and Soft computing: Selected Contributions to the 8th international conference on "Fuzzy Systems, Soft Soft computing and Intelligent Technologies",FSSCIT 2020

作者： Oliseenko, Valerii Korepanova, Anastasia St. Petersburg State University Mathematics and Mechanics Faculty Universitetskaya Emb. 7-9 St. Petersburg199034 Russia St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences 14-th Linia VI No. 39 St. Petersburg199178 Russia

the presented work is devoted to the development of an approach to the age inference for users on the online social network ***. this approach is based on an analysis of the communities that the user is a member of. the proposed method is based on the hypothesis that users join some of those communities that contain data about class, graduation from school, data about the group at the university, etc. and those that have users’ peers as members. the proposed approach allows for the age inference. the obtained results can benefit research on online social networks, as well as the task of discovering a user vulnerability through social networks. © 2020 CEUR-WS. All rights reserved.

关键词： Social networking (online)

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Neural Network-Based Vehicle and Pedestrian Detection for Video Analysis System 8

Neural Network-Based Vehicle and Pedestrian Detection for Vi...

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8th Mediterranean conference on Embedded computing (MECO) / Summer School on Cyber-Physical Systems and Internet-of-things (CPS and IoT)

作者： Babayan, Pavel V. Ershov, Maksim D. Erokhin, Denis Y. RSREU Dept Automat & Informat Technol Control Ryazan Russia

ISBN: (纸本)9781728117393

In our research we compare various neural network architectures that are used for object detection and recognition. In this work vehicles and pedestrians are considered objects of interest. Modern artificial neural networks are able to detect and localize objects of known classes. this allows them to be used in various technical vision systems and video analysis systems. In this paper we compare three architectures (YOLO, Faster R-CNN, SSD) by the following criteria: processing speed, mAP, precision and recall.

关键词： video analysis image processing object detection pattern recognition neural networks machine learning

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8th international Scientific Siberian Transport Forum, TransSiberia 2019

8th International Scientific Siberian Transport Forum, Trans...

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8th international Scientific Siberian Transport Forum, TransSiberia 2019

ISBN: (纸本)9783030379155

the proceedings contain 99 papers. the special focus in this conference is on Siberian Transport. the topics include: Development of thermally Conductive Compound Based on a Colloid Nanosuspension;aspects of Railway Vehicles Vibrations with Nonlinear Spring Suspension Characteristics;Impact of Return Traction Current Harmonics on the Value of the Potential of the Rail Ground for the AC Power Supply System;improvement of Automatic Pneumatic Car Brakes;methodology for Assessing the Condition of the Contact Wire by the Value of thermal Softening;principles of Creation of an Optimal Train Motion Trajectory;increasing the Functional Stability of Distance Relay Protection for Various Types of Catenary Support Grounding;dependence of Power Losses in an Overhead Wiring on the Current Waveform Consumed by an Electric Locomotive;Budgeting Direct Costs of Track Complex of JSC "Russian Railways" in the Light of Modern Classification of Railway Lines;Simulation of Devices for Voltage Regulation in 25 kV AC Electric Traction Network;assessment of the Mitigation of Consequences Resulting from Incidents at the Railway;improving of the Electrothermal Characteristics of the Contact Line;organization of Operation, Maintenance and Repair of Gas-Turbine Installations in the Far East Railway Section;optimization of Locating of Recycling Facilities for Vehicles in the Region;Solving the Problem of Income Loss in the Networks of the Transport Telecommunications Operator When Providing the VPN Service;development of an Automatic Locomotive Traction Drive Control System to Reduce the Amount of Wheel Slippage on the Rail;thermal Load of a thermos Car in Transportation of Metallurgical Blanks.

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Unifying Input and Output Smoothing in Neural Machine Translation 28

Unifying Input and Output Smoothing in Neural Machine Transl...

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28th international conference on Computational Linguistics, COLING 2020

作者： Gao, Yingbo Liao, Baohao Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University AachenD-52056 Germany

ISBN: (纸本)9781952148279

Soft contextualized data augmentation is a recent method that replaces one-hot representation of words with soft posterior distributions of an external language model, smoothing the input of neural machine translation systems. Label smoothing is another effective method that penalizes over-confident model outputs by discounting some probability mass from the true target word, smoothing the output of neural machine translation systems. Having the benefit of updating all word vectors in each optimization step and better regularizing the models, the two smoothing methods are shown to bring significant improvements in translation performance. In this work, we study how to best combine the methods and stack the improvements. Specifically, we vary the prior distributions to smooth with, the hyperparameters that control the smoothing strength, and the token selection procedures. We conduct extensive experiments on small datasets, evaluate the recipes on larger datasets, and examine the implications when back-translation is further used. Our results confirm cumulative improvements when input and output smoothing are used in combination, giving up to +1.9 BLEU scores on standard machine translation tasks and reveal reasons why these smoothing methods should be preferred. © 2020 COLING 2020 - 28th international conference on Computational Linguistics, proceedings of the conference. All rights reserved.

关键词： Neural machine translation

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