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检索条件"任意字段=2021 10th International Conference on Computing and Pattern Recognition"

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20th international conference on Hybrid Intelligent Systems, HIS 2020 and 12th World Congress on Nature and Biologically Inspired computing, NaBIC 2020

20th International Conference on Hybrid Intelligent Systems,...

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20th international conference on Hybrid Intelligent Systems, HIS 2020 and 12th World Congress on Nature and Biologically Inspired computing, NaBIC 2020

ISBN: (纸本)9783030730499

the proceedings contain 78 papers. the special focus in this conference is on Hybrid Intelligent Systems. the topics include: Text Classification Using Convolution Neural Networks with FastText Embedding;deep Convolutional Neural Network Based on Wavelet Transform for Super Image Resolution;optimizing Instance Selection Strategies in Interactive Machine Learning: An Application to Fraud Detection;building IoT Analytics and Machine Learning with Open Source Software for Prediction of Environmental Data;ANFIS-Based Inverse Kinematics and Forward Dynamics of 3 DOF Serial Manipulator;design and Development of Intelligent Pesticide Spraying System for Agricultural Robot;solving Dynamic Bag-of-Tasks Scheduling Problem in Heterogeneous Multi-cloud Environment Using Hybrid Bi-Level Optimization Model;Caching Mechanisms Evolution in CCN Architectures;SentiLSTM: A Deep Learning Approach for Sentiment Analysis of Restaurant Reviews;auto-Encoder Based Wavelet and Extreme Learning Machine for Face recognition;characterizing Antennas’ Radiation pattern Using Bernoulli Lemniscates;analysis of Metaheuristics Feature Selection Algorithm for Classification;hybrid Genetic Algorithms to Solve the Traveling Salesman Problem;hybridization of Adaboost with Random Forest for Real-Time Prediction of Online Shoppers’ Purchasing Intention;change Detection in Satellite Imagery: A Multi-label Approach Using Convolutional Neural Network;inverse Neural Control of a Magnetic Levitation System: Experimental Results;COVID-19 Detection Using Deep Learning;an Isolation Forest Learning Based Outlier Detection Approach for Effectively Classifying Cyber Anomalies;an Effective Heart Disease Prediction Model Based on Machine Learning Techniques;optimal Design of Fuzzy Controllers Using the Multiverse Optimizer;sparse Wavelet Auto-encoder for Covid-19 Cases Identification;a New Bi-objective Classic Transportation Model Considering Social Justice;emotion recognition Using Multimodalities.

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WikiServe: Using Wikipedia to Match IoT based Services for Situation Response 10

WikiServe: Using Wikipedia to Match IoT based Services for S...

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10th international conference on Software and Information Engineering, ICSIE 2021

作者： Zaman Khan, Sazid Colman, Alan Sarker, Iqbal H. Computer Science and Engineering International Islamic University Chittagong Bangladesh School of Science Computing and Engineering Technologies Swinburne University of Technology Australia Computer Science and Engineering Chittagong University of Engineering and Technology Bangladesh

ISBN: (纸本)9781450384315

A large number of smart devices are being deployed with the swift development of Internet of things (IoT). these devices, owned by different organizations, have a wide variety of services to offer. During a natural disaster, relevant IoT services can be extremely useful. However, appropriate service matching methods are required to find the relevant services. Organizations that manage situation responses and organizations that provide IoT services are likely to be independent of each other, therefore it is difficult for them to adopt a common ontological model to facilitate the service matching. In this paper, we address this problem and propose a new approach called WikiServe to identify IoT services that are functionally relevant to a given situation. Using concepts or terms from situation and service descriptions, WikiServe employs Wikipedia as a knowledge source to bridge the conceptual gap between situation and service descriptions and match functionally relevant IoT services. WikiServe performs better than a Word2Vec based method in terms of Precision and Recall for service matching. © 2021 ACM.

关键词： Internet of things

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10th EAI international conference on Context-Aware Systems and Applications, ICCASA 2021

10th EAI International Conference on Context-Aware Systems a...

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10th EAI international conference on Context-Aware Systems and Applications, ICCASA 2021

ISBN: (纸本)9783030931780

the proceedings contain 25 papers. the special focus in this conference is on Context-Aware Systems and Applications. the topics include: Memory-Constrained Context-Aware Reasoning;segmentation-Based Methods for Top-k Discords Detection in Static and Streaming Time Series Under Euclidean Distance;hardware/Software Co-design for Convolutional Neural Networks Acceleration: A Survey and Open Issues;image Segmentation and Transfer Learning Approach for Skin Classification;blockchain and Identity Management;binary Classification for Lung Nodule Based on Channel Attention Mechanism;design Cloud-Fog Systems Using Heuristic Solutions on the Energy of IoT Devices;an international Overview and Meta-analysis for Using the Mechanical Ventilation in the Medical Treatment;blockchain-Based Governance in Fractional Ownership: Mitigating Zero-Sum Games through Decentralized Autonomous Agents;knowledge Management Practices: Innovation the Path to Organizational Performance;a Dynamic Programming Approach for Time Series Discord Detection;recent Researches on Human-Aware Navigation for Autonomous System in the Dynamic Environment: An international Survey;recommendation with Subjective Tendency Based on Statistical Implicative Analysis;applying Convolutional Neural Network for Detecting Highlight Football Events;can Gaming be the Bad Escapism?;Applying CoKriging Method for Air Pollution Prediction PM10 in Binh Duong Province;predicting Humans’ Balance Disorder Based on Center of Gravity Using Support Vector Machine;internet of things Big Data Management and Analytic for Developing Smart City: A Survey and Future Studies;ensemble Learning for Mining Opinions on Food Reviews;hidden pattern: Toward Decision Support Fuzzy Systems;applying Segmented Images by Louvain Method into Content-Based Image Retrieval;an Effective Approach for Mining k-item High Utility Itemsets from Incremental Databases;recover Realistic Faces from Sketches.

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10th international Seminar on New Paradigm and Innovation of Natural Sciences and itsApplication, ISNPINSA 2020

10th International Seminar on New Paradigm and Innovation of...

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10th international Seminar on New Paradigm and Innovation of Natural Sciences and itsApplication, ISNPINSA 2020

the proceedings contain 185 papers. the topics discussed include: carrying capacity of mangrove tourism in the district of Cilamaya Wetan, Karawang regency, West Java province;geoelectrical survey and groundwater chemical analysis in Sumowono groundwater basin;the complete bouguer anomaly changes in 2019 after explosive eruption of Merapi in 2010;selective mine plan based on coal quality distribution of Batu Ayau formation, Murung Raya-Central Kalimantan;the potential attractiveness of development mangrove ecotourism in Karawang regency;spatial pattern of fishing activities at Yogyakarta waters (case study: fishers at Depok beach, Parangtritis village, Bantul regency);analysis of shoreline changes using the bilko method on landsat imagery in Karawang regency (1999-2019);phonon polaritons in a bilayer ferroelectrics structure with a polarization coupling at the interface;high fluorescent carbon dots/Ag as a sensitive sensor for tetracycline waste in aqueous solution;and online monitoring of water pollution level based on dissolved oxygen (DO) and biochemical oxygen demand (BOD) using wireless sensor system.

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international conference "Marchuk Scientific Readings 2020", MSR 2020, Dedicated to the 95th Anniversary of the Birthday of RAS Academician Guri. I. Marchuk

International Conference "Marchuk Scientific Readings 2020",...

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international conference on Marchuk Scientific Readings 2020, MSR 2020

the proceedings contain 73 papers. the topics discussed include: numerical modeling of non-stationary heat problems in a two-phase medium;nested alternating - triangular incomplete factorization methods;two-level iterative methods for solving the saddle point problems;zero and first-degree spline multiwavelets and parallel computing;a computer system for the leukocytes classification in medical images;sign language recognition through leap motion controller and input prediction algorithm;a modified algorithm of the latent semantic analysis for text processing in the Russian language;evolutionary synthesis of nonlinear models based on metaheuristic programming and templates;some properties of the classification algorithms using ensemble kernels;the development of a system for automated ontology building based on heterogeneous ontology design patterns;and numerical research of the influence of wall heating on the turbulent flow pattern in an idealized street canyon.

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Assessing pattern recognition Performance of Neuronal Cultures through Accurate Simulation

Assessing Pattern Recognition Performance of Neuronal Cultur...

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international IEEE/EMBS conference on Neural Engineering, CNE

作者： Gabriele Lagani Raffaele Mazziotti Fabrizio Falchi Claudio Gennaro Guido Marco Cicchini Tommaso Pizzorusso Federico Cremisi Giuseppe Amato University of Pisa Italy CNR Pisa Italy University of Florence Italy Scuola Normale Superiore Pisa Italy

ISBN: (纸本)9781728143378;9781728143385

Previous work has shown that it is possible to train neuronal cultures on Multi-Electrode Arrays (MEAs), to recognize very simple patterns. However, this work was mainly focused to demonstrate that it is possible to induce plasticity in cultures, rather than performing a rigorous assessment of their pattern recognition performance. In this paper, we address this gap by developing a methodology that allows us to assess the performance of neuronal cultures on a learning task. Specifically, we propose a digital model of the real cultured neuronal networks; we identify biologically plausible simulation parameters that allow us to reliably reproduce the behavior of real cultures; we use the simulated culture to perform handwritten digit recognition and rigorously evaluate its performance; we also show that it is possible to find improved simulation parameters for the specific task, which can guide the creation of real cultures.

关键词： Handwriting recognition Biological system modeling Neural engineering Reliability Task analysis Biological neural networks

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An Energy-Efficient Human Activity recognition System Based on Smartphones 7

An Energy-Efficient Human Activity Recognition System Based ...

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7th international conference on Soft computing and Machine Intelligence (ISCMI)

作者： Shi, Junhao Zuo, Decheng Zhang, Zhan Harbin Inst Technol Dept Comp Sci & Technol Harbin Peoples R China

ISBN: (纸本)9781728175591

Smartphone-based human activity recognition (HAR) has become a considerable research field as a subdomains of pattern recognition and pervasive computing. With the increasing popularity of smartphones, LIAR has prominent applications in number of fields such as health care, education, entertainment and etc. Smart devices have a huge advantage in convenience as the main acquisition and processing equipment, but the battery life of smartphone and other resources are limited for long-duration tasks. In this paper, we propose a lightweight HAR system. the system realizes HAR algorithm with deep learning algorithm. Beyond that, we introduce a clustering-center based pre-classification strategy to reduce the call frequency of the DL model. Meanwhile, we add a sampling frequency control mechanism to the inertial sensor. the goal of the whole system is to achieve low power consumption and time delay. According to the final experiment results, the energy consumption reduces about 49% and time delay reduces about 55% while the overall recognition accuracy only suffers about 10% reduction.

关键词： human activity recognition energy-efficient deep learning pervasive computing smartphone application

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Video Art Design from the Perspective of Digital Image Behavior Based on Intelligent computing 10th

Video Art Design from the Perspective of Digital Image Behav...

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10th international conference on Frontier computing, FC 2020

作者： Hu, Yuelin Department of Film and Television Art Shanghai Publishing and Printing College Shanghai200093 China

ISBN: (纸本)9789811601149

With the continuous progress of science and technology, the development of digital image based on intelligent computing is becoming more and more mature, and its application in the field of art design is more and more extensive;especially in the field of film and television, art design has been widely used. the purpose of this paper is to promote the further development of film and television art design by studying the film and television art design from the perspective of digital image behavior based on intelligent computing. this paper first introduces the concept and composition of digital image, then explains the intelligent algorithm, analyzes the video art innovation of digital image behavior by virtue of the analysis experiment of digital image and video art design, and proves the promotion of digital image on video art design. the experimental results show that compared with the traditional behavioral perspective, the film and television art from the digital image perspective has been improved in terms of artistry, design efficiency, and comprehensive score, with the artistic and design efficiency increased by 12% and 20.8%, respectively, and the comprehensive score increased by 13.94 points. © 2021, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Image enhancement

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5th international conference on Intelligent computing and Applications, ICICA 2019

5th International Conference on Intelligent Computing and Ap...

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5th international conference on Intelligent computing and Applications, ICICA 2019

ISBN: (纸本)9789811555657

the proceedings contain 71 papers. the special focus in this conference is on Intelligent computing and Applications. the topics include: Performance Estimation and Analysis Over the Supervised Learning Approaches for Motor Imagery EEG Signals Classification;fully Automated Digital Mammogram Segmentation;empirical Study of Computational Intelligence Approaches for the Early Detection of Autism Spectrum Disorder;Intelligent Monitoring of Bearings Using Node MCU Module;image Denoising Using Various Image Enhancement Techniques;energy Consumption Analysis and Proposed Power-Aware Scheduling Algorithm in Cloud computing;relationship Between Community Structure and Clustering Coefficient;digital Image Forensics-Image Verification Techniques;energy Efficient Data Centre Selection Using Service Broker Policy;using Automated Predictive Analytics in an Online Shopping Ecosystem;design and Development of Home Automation System;performance Analysis Study of Stochastic computing Based Neuron;Scheduling of Parallel Tasks in Cloud Environment Using DAG MODEL;GREENIE—Smart Home with Smart Power Transmission;ANAVI: Advanced Navigation Assistance for Visually Impaired;thIRD EYE—Shopfloor Data Processing and Visualization Using Image recognition;A Hybrid Search Group Algorithm and pattern Search Optimized PIDA Controller for Automatic Generation Control of Interconnected Power System;Fractional Order PID Controlled PV Fed Quadratic Boost Converter TZ Source Inverter Fed Permanent Magnet Brushless Motor Drive;co-ordinate Measurement of Roll-Cage Using Digital Image Processing;peformance Analysis of Joysticks Used in Infotainment Control System in Automobiles;Probabilistic Principal Component Analysis (PPCA) Based Dimensionality Reduction and Deep Learning for Cancer Classification;blockchain Technology for Data Sharing in Decentralized Storage System;Understanding Concepts of Blockchain Technology for Building the DApps;chennai Water Crisis—Data Analysis.

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Region-Based Space Filling Curve for Medical Image Scanning

Region-Based Space Filling Curve for Medical Image Scanning

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international conference on Research in Intelligent and computing in Engineering, RICE 2020

作者： Kudabalage, Ashan Eranga Dang, Le Van Du, Leran Ueda, Yumi Sirindhorn International Institute of Technology Thammasat University Rangsit Thailand Center for Frontier Medical Engineering Chiba University Chiba Japan

ISBN: (纸本)9789811575266

A region-based space filling curve (RB) scanning method based on image segmentation and gradient vector flow (GVF) is presented. the proposed method extends the context-based space filling curve proposed in [1]. In this paper, the scanning path is guided by a preferred vector field which is constructed from the gradient vector field and enhanced by the GVF technique. the proposed method is compared with relevant scanning techniques. the study is important for image compression, pattern recognition, halftoning, and other applications in image processing. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Image segmentation

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