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Development Of New Models Using Machine Learning Methods Combined With Different Time Lags For Network Traffic Forecasting
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Book Synopsis Development of New Models Using Machine Learning Methods Combined with Different Time Lags for Network Traffic Forecasting by : Derman Akgol
Download or read book Development of New Models Using Machine Learning Methods Combined with Different Time Lags for Network Traffic Forecasting written by Derman Akgol and published by Dissertation.com. This book was released on 2017-06-25 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this thesis is to forecast the amount of network traffic in Transmission Control Protocol/Internet Protocol (TCP/IP) -based networks by using different time lags and various machine learning methods including Support Vector Machines (SVM), Multilayer Perceptron (MLP), Radial Basis Function (RBF) Neural Network, M5P (a decision tree with linear regression functions at the nodes), Random Forest (RF), Random Tree (RT), and Reduced Error Prunning Error (REPTree), and statistical regression methods including Multiple Linear Regression (MLR) and Holt-Winters and compare the performance of statistical and machine learning methods. Two different Internet Service Providers' (ISPs) traffic data have been utilized to build traffic forecasting models. The first 66% of the data sets has been utilized as training sets and the rest has been used as test sets. The performance of the forecasting models for the data sets has been assessed using Mean Absulote Percentage Error (MAPE). The results show that SVM and M5P based models usually perform better than the ones obtained by the other methods.
Book Synopsis Smart Urban Environmental Health from Multi-Scale, Multimedia, Multi-Exposure, Multi-Target Perspectives by : Hongtao Yi
Download or read book Smart Urban Environmental Health from Multi-Scale, Multimedia, Multi-Exposure, Multi-Target Perspectives written by Hongtao Yi and published by Frontiers Media SA. This book was released on 2022-11-08 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Green, Pervasive, and Cloud Computing – GPC 2020 Workshops by : Jiangtao Wang
Download or read book Green, Pervasive, and Cloud Computing – GPC 2020 Workshops written by Jiangtao Wang and published by Springer Nature. This book was released on 2020-11-20 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Workshops from the 15th International Conference on Green, Pervasive, and Cloud Computing, GPC 2020, held in Xi'an, China, in November 2020. Due to the COVID-19 pandemic this event was held virtually. The 5 full papers presented in this book together with 3 short papers were carefully reviewed and selected from 16 submissions. They present recent research in the areas of urban computing, intelligent transportation and social computing.
Book Synopsis Towards Machine Learning Applied to Time Series Based Network Traffic Forecasting by : Javier González Prieto
Download or read book Towards Machine Learning Applied to Time Series Based Network Traffic Forecasting written by Javier González Prieto and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this project is to implement a network traffic forecasting model using time series and improve its performance with machine learning techniques, offering a better prediction based in outlier correction. This is a project developed in the Computer Architecture Department (DAC) at the Universitat Politècnica de Catalunya (UPC). Time Series modeling methodology is able to shape a trend and take care of any existing outlier, however it does not cover outlier impact on forecasting. In order to achieve more precision and better confidence intervals, the model combines outlier detection methodology and Artificial Neural Networks to quantify and predict outliers. A study is realized over external data to find out if there is an improvement and its effect on the predictions. Machine learning techniques as Artificial Neural Networks has proven to be an improvement of the current methodology to realize forecasting using Time Series modeling. Future work will be oriented to create an improved standard of this system focused on generalize the model.
Book Synopsis Computer Science in Industrial Application by : Yanglv Ling
Download or read book Computer Science in Industrial Application written by Yanglv Ling and published by CRC Press. This book was released on 2015-07-28 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: CSIA 2014 focusses on improvements in computer science in industrial application. The contributions are grouped into five main sections:1. Computer and Information Technology.2. Business management, E-commerce and Tourism. This section covers mainly basic theory and general method of economic management businesses and market economy.&nbs
Book Synopsis Intelligent Transportation Systems by : Ahmed Abdel-Rahim
Download or read book Intelligent Transportation Systems written by Ahmed Abdel-Rahim and published by BoD – Books on Demand. This book was released on 2012-03-16 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Transportation Systems (ITS) have transformed surface transportation networks through the integration of advanced communications and computing technologies into the transportation infrastructure. ITS technologies have improved the safety and mobility of the transportation network through advanced applications such as electronic toll collection, in-vehicle navigation systems, collision avoidance systems, and advanced traffic management systems, and advanced traveler information systems. In this book that focuses on different ITS technologies and applications, authors from several countries have contributed chapters covering different ITS technologies, applications, and management practices with the expectation that the open exchange of scientific results and ideas presented in this book will lead to improved understanding of ITS technologies and their applications.
Book Synopsis Applied Intelligence by : De-Shuang Huang
Download or read book Applied Intelligence written by De-Shuang Huang and published by Springer Nature. This book was released on with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Data-Centric Business and Applications by : Natalia Kryvinska
Download or read book Data-Centric Business and Applications written by Natalia Kryvinska and published by Springer. This book was released on 2018-07-16 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses processes and procedures in information/data processing and management. The global market is becoming more and more complex with an increased availability of data and information, and as a result doing business with information is becoming more popular, with a significant impact on modern society immensely. This means that there is a growing need for a common understanding of how to create, access, use and manage business information. As such this book explores different aspects of data and information processing, including information generation, representation, structuring, organization, storage, retrieval, navigation, human factors in information systems, and the use of information. It also analyzes the challenges and opportunities of doing business with information, and presents various perspectives on business information managing.
Book Synopsis Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022) by : Wenxing Fu
Download or read book Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022) written by Wenxing Fu and published by Springer Nature. This book was released on 2023-03-10 with total page 3985 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes original, peer-reviewed research papers from the ICAUS 2022, which offers a unique and interesting platform for scientists, engineers and practitioners throughout the world to present and share their most recent research and innovative ideas. The aim of the ICAUS 2022 is to stimulate researchers active in the areas pertinent to intelligent unmanned systems. The topics covered include but are not limited to Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and Its Application in Unmanned Systems. The papers showcased here share the latest findings on Unmanned Systems, Robotics, Automation, Intelligent Systems, Control Systems, Integrated Networks, Modeling and Simulation. It makes the book a valuable asset for researchers, engineers, and university students alike.
Book Synopsis Computer Science and Education. Computer Science and Technology by : Wenxing Hong
Download or read book Computer Science and Education. Computer Science and Technology written by Wenxing Hong and published by Springer Nature. This book was released on with total page 519 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Trends in Data Engineering Methods for Intelligent Systems by : Jude Hemanth
Download or read book Trends in Data Engineering Methods for Intelligent Systems written by Jude Hemanth and published by Springer Nature. This book was released on 2021-07-05 with total page 797 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book briefly covers internationally contributed chapters with artificial intelligence and applied mathematics-oriented background-details. Nowadays, the world is under attack of intelligent systems covering all fields to make them practical and meaningful for humans. In this sense, this edited book provides the most recent research on use of engineering capabilities for developing intelligent systems. The chapters are a collection from the works presented at the 2nd International Conference on Artificial Intelligence and Applied Mathematics in Engineering held within 09-10-11 October 2020 at the Antalya, Manavgat (Turkey). The target audience of the book covers scientists, experts, M.Sc. and Ph.D. students, post-docs, and anyone interested in intelligent systems and their usage in different problem domains. The book is suitable to be used as a reference work in the courses associated with artificial intelligence and applied mathematics.
Book Synopsis Machine Learning and Knowledge Discovery in Databases by : José L. Balcázar
Download or read book Machine Learning and Knowledge Discovery in Databases written by José L. Balcázar and published by Springer Science & Business Media. This book was released on 2010-09-13 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2010, held in Barcelona, Spain, in September 2010. The 120 revised full papers presented in three volumes, together with 12 demos (out of 24 submitted demos), were carefully reviewed and selected from 658 paper submissions. In addition, 7 ML and 7 DM papers were distinguished by the program chairs on the basis of their exceptional scientific quality and high impact on the field. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. A topic widely explored from both ML and DM perspectives was graphs, with motivations ranging from molecular chemistry to social networks.
Book Synopsis Green Connected Automated Transportation and Safety by : Wuhong Wang
Download or read book Green Connected Automated Transportation and Safety written by Wuhong Wang and published by Springer Nature. This book was released on 2021-12-13 with total page 841 pages. Available in PDF, EPUB and Kindle. Book excerpt: These proceedings gather selected papers from the 11th International Conference on Green Intelligent Transportation Systems and Safety, held in Beijing, China on October 17-19, 2020. The book features cutting-edge studies on Green Intelligent Mobility Systems, the guiding motto being to achieve “green, intelligent, and safe transportation systems”. The contributions presented here can help promote the development of green mobility and intelligent transportation technologies to improve interconnectivity, resource sharing, flexibility and efficiency. Given its scope, the book will benefit researchers and engineers in the fields of Transportation Technology and Traffic Engineering, Automotive and Mechanical Engineering, Industrial and System Engineering, and Electrical Engineering alike. The readers will be able to find out the Advances in Green Intelligent Transportation System and Safety.
Book Synopsis Collaborative Computing: Networking, Applications and Worksharing by : Honghao Gao
Download or read book Collaborative Computing: Networking, Applications and Worksharing written by Honghao Gao and published by Springer Nature. This book was released on 2021-01-21 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set constitutes the refereed proceedings of the 16th International Conference on Collaborative Computing: Networking, Applications, and Worksharing, CollaborateCom 2020, held in Shanghai, China, in October 2020. The 61 full papers and 16 short papers presented were carefully reviewed and selected from 211 submissions. The papers reflect the conference sessions as follows: Collaborative Applications for Network and E-Commerce; Optimization for Collaborate System; Cloud and Edge Computing; Artificial Intelligence; AI Application and Optimization; Classification and Recommendation; Internet of Things; Collaborative Robotics and Autonomous Systems; Smart Transportation.
Book Synopsis An Adaptive, Fault-tolerant System for Road Network Traffic Prediction Using Machine Learning by : Rafael Mena-Yedra
Download or read book An Adaptive, Fault-tolerant System for Road Network Traffic Prediction Using Machine Learning written by Rafael Mena-Yedra and published by . This book was released on 2020 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis has addressed the design and development of an integrated system for real-time traffic forecasting based on machine learning methods. Although traffic prediction has been the driving motivation for the thesis development, a great part of the proposed ideas and scientific contributions in this thesis are generic enough to be applied in any other problem where, ideally, their definition is that of the flow of information in a graph-like structure. Such application is of special interest in environments susceptible to changes in the underlying data generation process. Moreover, the modular architecture of the proposed solution facilitates the adoption of small changes to the components that allow it to be adapted to a broader range of problems. On the other hand, certain specific parts of this thesis are strongly tied to the traffic flow theory. The focus in this thesis is on a macroscopic perspective of the traffic flow where the individual road traffic flows are correlated to the underlying traffic demand. These short-term forecasts include the road network characterization in terms of the corresponding traffic measurements -traffic flow, density and/or speed-, the traffic state -whether a road is congested or not, and its severity-, and anomalous road conditions -incidents or other non-recurrent events-. The main traffic data used in this thesis is data coming from detectors installed along the road networks. Nevertheless, other kinds of traffic data sources could be equally suitable with the appropriate preprocessing.This thesis has been developed in the context of Aimsun Live -a simulation-based traffic solution for real-time traffic prediction developed by Aimsun-. The methods proposed here is planned to be linked to it in a mutually beneficial relationship where they cooperate and assist each other. An example is when an incident or non-recurrent event is detected with the proposed methods in this thesis, then the simulation-based forecasting module can simulate different strategies to measure their impact. Part of this thesis has been also developed in the context of the EU research project "SETA" (H2020-ICT-2015).The main motivation that has guided the development of this thesis is enhancing those weak points and limitations previously identified in Aimsun Live, and whose research found in literature has not been especially extensive. These include:•Autonomy, both in the preparation and real-time stages.•Adaptation, to gradual or abrupt changes in traffic demand or supply.•Informativeness, about anomalous road conditions. •Forecasting accuracy improved with respect to previous methodology at Aimsun and a typical forecasting baseline.•Robustness, to deal with faulty or missing data in real-time.•Interpretability, adopting modelling choices towards a more transparent reasoning and understanding of the underlying data-driven decisions.•Scalable, using a modular architecture with emphasis on a parallelizable exploitation of large amounts of data.The result of this thesis is an integrated system -Adarules- for real-time forecasting which is able to make the best of the available historical data, while at the same time it also leverages the theoretical unbounded size of data in a continuously streaming scenario. This is achieved through the online learning and change detection features along with the automatic finding and maintenance of patterns in the network graph. In addition to the Adarules system, another result is a probabilistic model that characterizes a set of interpretable latent variables related to the traffic state based on the traffic data provided by the sensors along with optional prior knowledge provided by the traffic expert following a Bayesian approach. On top of this traffic state model, it is built the probabilistic spatiotemporal model that learns the dynamics of the transition of traffic states in the network, and whose objectives include the automatic incident detection.
Book Synopsis AI 2021: Advances in Artificial Intelligence by : Guodong Long
Download or read book AI 2021: Advances in Artificial Intelligence written by Guodong Long and published by Springer Nature. This book was released on 2022-03-18 with total page 810 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 34th Australasian Joint Conference on Artificial Intelligence, AI 2021, held in Sydney, NSW, Australia, in February 2022.* The 64 full papers presented in this volume were carefully reviewed and selected from 120 submissions. The papers were organized in topical sections named: Ethical AI, Applications, Classical AI, Computer Vision and Machine Learning, Natural Language Processing and Data Mining, and Network Analysis. *The conference was postponed from December 2021 to February 2022 and held virtually due to the COVID-19 pandemic.
Book Synopsis Distributed Computer and Communication Networks: Control, Computation, Communications by : Vladimir M. Vishnevskiy
Download or read book Distributed Computer and Communication Networks: Control, Computation, Communications written by Vladimir M. Vishnevskiy and published by Springer Nature. This book was released on 2021-01-04 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 23rd International Conference on Distributed and Computer and Communication Networks, DCCN 2020, held in Moscow, Russia, in September 2020. Due to the COVID-19 pandemic the conference was held online. The 43 papers were carefully reviewed and selected from 167 submissions.The papers are organized in the following topical sections: computer and communication networks and technologies; analytical modeling of distributed systems, and distributed systems applications.
