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检索条件"任意字段=Proceedings of the 7th International Conference on Algorithms, Computing and Systems"

共 3437 条记录，以下是961-970 订阅

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EEML 2019 - proceedings of the 5th Workshop on Experimental Economics and Machine Learning, co-located with the 7th international conference on Applied Research in Economics, iCare7 2019

EEML 2019 - Proceedings of the 5th Workshop on Experimental ...

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5th international Workshop on Experimental Economics and Machine Learning, EEML 2019

the proceedings contain 11 papers. the topic discussed include: recommender systems for online classiï72;üed advertisements;field experimentation in marketing research;deep reinforcement learning with Viz...

the proceedings contain 11 papers. the topic discussed include: recommender systems for online classiï¬üed advertisements;field experimentation in marketing research;deep reinforcement learning with VizDoom first-person shooter;searching for interpretable demographic patterns;fundamental factors affecting the MOEX Russia index: retrospective analysis;the comparison of methods for individual treatment eï¬€ect detection;and eï¬ƒcient algorithms for constructing multiplex networks embedding.

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HPCCT 2021 - 2021 5th High Performance computing and Cluster Technologies conference

HPCCT 2021 - 2021 5th High Performance Computing and Cluster...

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5th High Performance computing and Cluster Technologies conference, HPCCT 2021

ISBN: (纸本)9781450390132

the proceedings contain 7 papers. the topics discussed include: long-term analysis for job characteristics on the supercomputer;research on dairy cow mastitis based on conductance method and weighted deep forest;a survey on machine learning based intrusion detection systems using Apache spark;the design and development of a GPU-accelerated radar simulator for space debris monitoring;towards nucleation of GoA3+ approval process;motion recognition of bionic manipulator based on surface muscle electrical signals;and the design and application in secure communication based on quantum technology.

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proceedings - 7th international conference on Applied computing and Information Technology, ACIT 2019

Proceedings - 7th International Conference on Applied Comput...

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7th international conference on Applied computing and Information Technology, ACIT 2019

ISBN: (纸本)9781450371735

the proceedings contain 40 papers. the topic discussed include: wikitheoria: a computational framework for parsimonious sociology theory construction;using pre-trained embeddings to detect the intent of an email;recognition of object hardness from images using a capsule network;transformer design software with parallel processing;design of efficient distribution transformer: a deep learning approach;do virtual reality images provide greater relaxation effects than 2D images?;study on watching system for door-to-door sales detection and risk determination;and study on method of veering correction by vibration transmission in walking support for visually impaired people.

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Real-time Multimedia Analytics for IoT Applications: Leveraging Machine Learning for Insights

Real-time Multimedia Analytics for IoT Applications: Leverag...

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international conference on Contemporary computing and Informatics (IC3I)

作者： Rajeshwarrao Arabelli Ashish Sharma Sonia Duggal Shaik Salma Begum Dr Fazla Rabby Joshuva Arockia Dhanraj School of Engineering SR University Warangal Telanagana India Galgotias University Greater Noida UP India School of Computer Applications Manav Rachna International Institute of Research and Studies Faridabad Haryana Computer Science and Engineering Presidency University Stanford Institute of Managment and Technology Australia Research and Development Cell Lovely Professional University Jalandhar-Delhi Grand Trunk Road Phagwara Punjab India

ISBN: (数字)9798350350067

ISBN: (纸本)9798350350074

Real time multi-media analytics is currently high in trend in businesses as it is helping the companies to track the real time data and develop useful insights. the process of Real-time Multimedia Analytics includes collection analysis and also usage of the data in real time in order to make better informed decisions. the major aim of the study is to explore Real-time Multimedia Analytics for IoT Applications: Leveraging Machine Learning for Insights. Along with this, the study also focuses on Real-Time Multimedia Analytics. the coming together of the IoT and ML has been analysed in the research. Also, the classification process of the IoT data analytics has been analysed according to technological facilities. A complete exploration of the IoT Data Analytics and its uses has been discussed. the research has studied the aspects using the data collected from books and journals. the previous journals on similar topics have been analysed and studied to develop the findings of this research. the research followed the strategy of empirical research and thus a secondary data collection process has been used. In the findings, it has been found that real-time data analytics are of greater help for the business. It can be divided into two aspects which are prescriptive and predictive data analysis. these two processes place a higher value on current time reactions than described and diagnostic analysis. Also, the coming together of IoT and ML can result in better management, enhanced computing and communication success, and improved choice-making. IoT data modelling is widely used in various aspects of businesses like farming, intelligent automobiles and smart medical. Lastly, the challenges and future directions of IoT applications have been studied to improve the process.

关键词： Data analysis Machine learning Multimedia computing Market research Real-time systems Internet of things Protection Medical diagnostic imaging Monitoring Business

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2019 7th international conference on Smart computing and Communications, ICSCC 2019

2019 7th International Conference on Smart Computing and Com...

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7th international conference on Smart computing and Communications, ICSCC 2019

ISBN: (纸本)9781728115573

the proceedings contain 70 papers. the topics discussed include: a wireless backhaul using a massive MIMO - 5G NR HetNet design;at sub-6ghz and millimeter wave frequencies;low match-line voltage swing technique for content addressable memory;PassMan: a new approach of password generation and management without storing;a novel technique to regulate access to immoral content for minors;model free approach to adaptive parameters optimization using adaptive decaying merit score (ADMS): a preliminary study;fake news detection in social media using blockchain;and study of impedance matching effect between terahertz bowtie antenna and bolometer to enhance signals detection.

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Iberian conference on Information systems and Technologies, CISTI

Iberian Conference on Information Systems and Technologies, ...

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16th Iberian conference on Information systems and Technologies, CISTI 2021

ISBN: (纸本)9789895465910

the proceedings contain 367 papers. the topics discussed include: shared dock-less vehicle location distribution dataset visualizer;fostering inclusive education through universal instructional design;determinants of e-voting acceptance in Chile: an approach based on the UTAUT model;the role of marketing in the development of digital touchpoints;physical unclonable functions based hardware obfuscation techniques: a state of the art;web accessibility on online platforms for the tourism sector in Portugal;world-class universities, a dynamic multivariate analysis through international rankings;UNAME tool: automatic generation of computer resources monitoring scripts;agile governance guidelines for software development SMEs;on the evaluation of machine learning algorithms for hyperspectral image classification on a heterogeneous computing device;partitional clustering based on PCA method for segmentation of products;and nice payer - a software platform for registering debtors with past due debts.

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Designing of a Decentralized Cluster Data Warehouse using Amdahl's and Gustafson's Law

Designing of a Decentralized Cluster Data Warehouse using Am...

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international conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)

作者： Ramakrishnan Raman R. Meenakshi Meenakshi Kaul S. Kavitha S. Sujatha Kanapathy Gopalakrishnan Symbiosis Institute of Business Management Pune & Symbiosis International (Deemed University) Pune Maharashtra India Department of Computer Science and Engineering Chennai Institute of Technology Chennai Tamil Nadu India Symbiosis Law School Noida Uttar Pradesh Symbiosis International (Deemed University) Pune Maharashtra India Department of Electronics and Communication Engineering Hindusthan Institute of Technology Coimbatore Tamil Nadu India Department of Biomedical Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai Tamil Nadu India Cambrdge Institute of Technology Bengaluru Karnataka India

Decentralized cluster data warehouses are popular owing to their scalability and availability. Performance and resource consumption must be considered while creating such systems. Amdahl's law argues that the proportion of the workload that cannot be parallelized limits a system's speedup. this law affects system design in decentralized cluster data warehousing. In creating a decentralized cluster data warehouse, Amdahl's law requires detecting and evaluating bottlenecks in data input, storage, processing, and query execution. Designers may improve parallelizable components by understanding non-parallelizable components. A decentralized cluster data warehouse needs data propagation. Keeping frequently accessible data close may impair system performance. this requires exact data partition, replication, and cluster node data placement. Decentralized cluster data warehouses need technical, organizational, and governance concerns. Data security, privacy, regulatory compliance, and accessibility are examples. John Gustafson and Edwin Barsis' Gustafson's Law stresses parallel computing's scalability and workload rise. Gustafson's Law allows scaling up the issue and using more computer resources to handle higher workloads, unlike Amdahl's Law. the law shows that as the issue size increases, the percentage of the program that may be processed in parallel becomes a bigger fraction of the entire execution time, improving efficiency and speedup. Gustafson's Law promotes reducing execution time by dividing task over numerous processors. this abstract compares Gustafson's Law with Amdahl's Law, revealing parallel computing's advantages for bigger problem instances and the impact of increasing workload in parallel efficiency.

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8th international conference on Mathematical Aspects of Computer and Information Sciences, MACIS 2019

8th International Conference on Mathematical Aspects of Comp...

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8th international conference on Mathematical Aspects of Computer and Information Sciences, MACIS 2019

ISBN: (纸本)9783030431198

the proceedings contain 36 papers. the special focus in this conference is on Mathematical Aspects of Computer and Information Sciences. the topics include: Reliable Computation of the Singularities of the Projection in R3 of a Generic Surface of R4;LaserTank is NP-Complete;A Parallel GPU Implementation of SWIFFTX;new Practical Advances in Polynomial Root Clustering;certified Hermite Matrices from Approximate Roots - Univariate Case;preface;Comprehensive LU Factors of Polynomial Matrices;generalized Integral Dependence Relations;evaluation of Chebyshev Polynomials on Intervals and Application to Root Finding;DD-Finite Functions Implemented in Sage;an Overview of Geometry Plus Simulation Modules;authorship Attribution by Functional Discriminant Analysis;common Vector Approach Based Image Gradients Computation for Edge Detection;optimal Transport to a Variety;a Numerical Efficiency Analysis of a Common Ancestor Condition;improved Cross-Validation for Classifiers that Make Algorithmic Choices to Minimise Runtime Without Compromising Output Correctness;a Fast Counting Method for 6-Motifs with Low Connectivity;IPO-Q: A Quantum-Inspired Approach to the IPO Strategy Used in CA Generation;second Order Balance Property on Christoffel Words;edge-Critical Equimatchable Bipartite Graphs;on a Weighted Spin of the Lebesgue Identity;on Parametric Border Bases;computing an Invariant of a Linear Code;acceleration of Spatial Correlation Based Hardware Trojan Detection Using Shared Grids Ratio;algebraic Analysis of Bifurcations and Chaos for Discrete Dynamical systems;automatic Synthesis of Merging and Inserting algorithms on Binary Trees Using Multisets in theorema;on the Chordality of Simple Decomposition in Top-Down Style;CUR LRA at Sublinear Cost Based on Volume Maximization.

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7th international Symposium on Dependable Software Engineering: theories, Tools, and Applications, SETTA 2021

7th International Symposium on Dependable Software Engineeri...

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7th international Symposium on Dependable Software Engineering: theories, Tools, and Applications, SETTA 2021

ISBN: (纸本)9783030912642

the proceedings contain 16 papers. the special focus in this conference is on Dependable Software Engineering: theories, Tools, and Applications. the topics include: Predicting and Monitoring Bug-Proneness at the Feature Level;CSFL: Fault Localization on Real Software Bugs Based on the Combination of Context and Spectrum;a Distributed Simplex Architecture for Multi-agent systems;OURS : Over- and Under-Approximating Reachable Sets for Analytic Time-Invariant Differential Equations;ESampler: Efficient Sampling of Satisfying Assignments for Boolean Formulas;API Usage Pattern Search Based on Model Checking;DeepGlobal: A Global Robustness Verifiable FNN Framework;leveraging Event-B theories for Handling Domain Knowledge in Design Models;reasoning About Iteration and Recursion Uniformly Based on Big-Step Semantics;Trace Semantics and Algebraic Laws for MCA ARMv8 Architecture Based on UTP;Formal Analysis of 5G AKMA;verifying the Correctness of Distributed systems via Mergeable Parallelism;mutation Testing of Reinforcement Learning systems;AIdetectorX: A Vulnerability Detector Based on TCN and Self-attention Mechanism.

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Machine vision based potato species recognition 5

Machine vision based potato species recognition

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5th international conference on Intelligent computing and Control systems, ICICCS 2021

作者： Nuruzzaman, Md. Hossain, Md. Shahadat Rahman, Md. Mostafijur Shoumik, Ahete Shamul Haque Chowdhury Khan, Md. Abbas Ali Habib, Md. Tarek Daffodil International University Dept. of Computer Science and Engineering Dhaka Bangladesh

ISBN: (纸本)9781665412728

Potato is one of the tasteful vegetable in the list of our daily delicious food. At present, there are 42000 kind of potatoes available in the world. In Bangladesh, we cultivate 82 species every year. Potatoes are used for other purposes besides eating. So it is produced by thinking of other purposes besides eating. Different varieties of potatoes are used for different purposes. But People usually do not know which variety of potato is suitable for which work. We took this research step to solve this problem. there are currently some conventional common detection methods that are not very convenient. therefore, we have introduced Machine Vision Recognition (MVR) procedure to discover a suitable technique. As if, through this method people can easily identify the potato species. In this research paper, we want to show how to identify different varieties of potatoes in Bangladesh using machine vision approach. We have been collected total 1200 potato imagers from four fact for our experience. To reach our aim, several machine learning algorithms have been applied to the datasets, like Random Forest Classifier (RF), Linear Discriminant Analysis (LDA), Logistic Regression, Support Vector Machine (SVM), CART, NB, and KNN. Once we have been applied all the algorithms, different results have been shown by each algorithm. Logistic Regression shows the best result, which has an accuracy rate of 98%. In contrast, the lowest rate has been shown by the SVM. the accuracy rate of SVM is 33% which is not only a good fit for future research but also promising. © 2021 IEEE.

关键词： Support vector machines

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