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Network techniques

Xem 1-20 trên 1167 kết quả Network techniques
  • This study proposes to test a combination model between CNN network and XGBoost algorithm for weather image classification problem. The proposed model uses deep learning network, namely CNN for feature extraction, then feeds the features into the XGBoost classifier to recognize the images.

    pdf6p vithomson 02-07-2024 0 0   Download

  • This paper aims to address this limitation by introducing techniques for estimating trustworthiness from a community context. These techniques rely on similarity measures or operators within the framework of path algebra.

    pdf8p vithomson 02-07-2024 0 0   Download

  • This research undertakes a comparative analysis of lane detection methodologies, explicitly focusing on traditional image processing techniques and Convolutional Neural Networks (CNNs). The evaluation utilized a sample of 500 images from the CULane dataset, which encompasses a diverse range of traffic scenarios.

    pdf14p vithomson 02-07-2024 0 0   Download

  • This study seeks to introduce a more comprehensive assessment method than previous endeavors, particularly concerning the bond strength of FRP bars with various surface types within concrete, spanning normal, high-strength, and ultra-high-strength concrete.

    pdf16p vithomson 02-07-2024 0 0   Download

  • This paper investigates the system performance of hybrid time-power switching based relaying (TPSR) energy harvesting enabled in the multisource half-duplex relaying network over the Rayleigh fading channel. The outage probability (OP) of the proposed system model with implementing maximal ratio combining (MRC) and selection combination (SC) technique at the receiver is presented and analyzed.

    pdf8p viwalton 02-07-2024 1 1   Download

  • In this paper, the performance of a multisource half-duplex relaying network utilizing the time-switching approach is investigated. Particularly, the relay simply relies on the harvested energy from the selected source to perform its operations such as amplifying and forwarding the source signals.

    pdf8p viwalton 02-07-2024 2 1   Download

  • In this study, we delve into the correlation between the issuance of Green, Social, and Sustainability (GSS) bonds and the economic growth trajectories of countries within the Latin American and Caribbean (LAC) region. By analyzing variables such as the “Green Bond Issuance to Total Bond Issuance” ratio and the “Planned Sovereign Green Issuance”, coupled with several pertinent economic and governance indicators, insights were derived using multiple linear regression techniques.

    pdf14p leminhvu111 07-06-2024 0 0   Download

  • This article introduces an advanced method in the field of facial recognition, using a unique technique that combines Convolutional Neural Networks (CNN) and Multilayer Perceptron (MLP) to integrate different perspectives.

    pdf9p viambani 18-06-2024 5 1   Download

  • Text categorization aims to automatically assign given text passages or documents to predetermined categories or subjects. Despite the wide array of techniques employed in classifying English text, there remains a dearth of research on Vietnamese text classification. This paper introduces a novel approach utilizing a Long Short-Term Memory (LSTM) and Convolutional Neural Network (CNN) with a deep network structure for Vietnamese text classification.

    pdf10p viambani 18-06-2024 3 1   Download

  • Improving your project management skills guides you step-by-step through all the processes in the life of a project, beginning with defining project scope and requirements. It explains how to create a work breakdown structure and diagram the activities into a logical sequence using simple network diagrams. It then describes techniques for estimating work on these activities, including trade-offs in time, cost, and resource allocation. You then learn how to compile your schedules, budgets, and resource plans into a comprehensive project plan.

    pdf221p zizaybay1103 29-05-2024 3 1   Download

  • Ebook Pay per click search engine marketing an hour a day presents the following content: Chapter 1: the art and science of ppc advertising, chapter 2: how the ppc machine works, chapter 3: core ppc skills and objectives, chapter 4: month 1-research keywords and establish campaign structure, chapter 5: month 2-create great ppc ads, chapter 6: month 3-design effective landing pages, chapter 7: month 4-advertise on the Google content network, chapter 8: month 5-launch your campaign, chapter 9: month 6-optimize your campaign, chapter 10: month 7-test ads by using advanced techniques, chapter 1...

    pdf434p zizaybay1103 29-05-2024 4 2   Download

  • Ebook "Optimizing decision making in the apparel supply chain using artificial intelligence (AI): From production to retail" provides detailed coverage of these techniques, outlining how they are used to assist decision makers in tackling key supply chain problems.

    pdf245p dongmelo 26-05-2024 4 2   Download

  • Part 1 book "Basic electrical engineering" includes content: Basic concepts, D.C. circuits, D.C. network theorems, network terminology, network theorems and techniques, important points about network analysis, Maxwell’s mesh current method,... and other contents.

    pdf249p dianmotminh01 20-05-2024 9 3   Download

  • Part 2 book "Wireless communications - Principles and practice" includes content: Equalization, diverstity and channel coding; speech coding, multiple access techniques for wireless communications, wireless networking, wireless systems and standards.

    pdf342p dianmotminh01 14-05-2024 4 0   Download

  • This study extracts images from Taekwondo videos and generates skeleton data from frames using the Fast Forward Moving Picture Experts Group (FFMPEG) technique using MoveNet. After that, we use deep learning architectures such as Long Short-Term Memory Networks, Convolutional Long Short-Term Memory, and Longterm Recurrent Convolutional Networks to perform the poses classification tasks in Taegeuk in Jang lessons. This work presents two approaches. The first approach uses a sequence skeleton extracted from the image by Movenet.

    pdf26p dianmotminh02 03-05-2024 3 1   Download

  • The purpose of this article is to analyze the performance of companies in the slaughterhouse industry in health and safety issues. The research method is quantitative modeling. The main research technique uses a mixed method based on multi-attribute utility method (MAUT) and artificial neural networks (ANN). The research object is 34 slaughterhouse companies located in Southern Brazil. Then, we ranked the companies and modeled their decision trees using the MAUT method.

    pdf9p longtimenosee10 26-04-2024 2 1   Download

  • Part 2 book "The homeowner’s DIY guide to electrical wiring" includes content: Techniques for quality electrical work; lighting fundamentals - design and installation; appliance failure, maintenance, and repair; tackling difficult projects; data and communications networks; home automation and beyond; backup power systems, alternate power systems - wind, solar, and fuel cells; what lies ahead.

    pdf170p dianmotminh00 22-04-2024 10 7   Download

  • Part 1 book "Power converters AC electrical drives with linear neural networks" includes content: Review of basic concepts - space vector analysis; pulsewidth modulation of voltage source inverters; power quality; dynamic and steady state models of the induction machine; control techniques of induction machine drives.

    pdf287p dianmotminh00 22-04-2024 6 3   Download

  • The distribution network model is one of the sophisticated strategies being used in research to assess the state of household solid waste (HSW) management and calculate the quantity of greenhouse gas emissions from landfills in Nghia Ninh and Bao Ninh communes. Traditional and modern techniques are also being used in this study.

    pdf12p vijaychest 24-04-2024 4 2   Download

  • Water demand uncertainty in a water supply system (WSS) arises mainly due to the abnormal behaviors of water users and the change of network configuration when it is expanded to new consumers. In practice, this directly impacts the optimal designed WSS. This paper presents a methodology to address the issue of water demand uncertainty in the designing a WSS that combines the Latin Hypercube Sampling Technique (LHST) and a multiobjective algorithm optimization.

    pdf8p vilarry 01-04-2024 6 1   Download

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