Essays about: "Information Filtering"

Showing result 1 - 5 of 239 essays containing the words Information Filtering.

  1. 1. Traffic State Estimation on Swedish Highways : Model Comparison using Multisource Data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Jiaqi Xu; [2023]
    Keywords : Traffic State Estimation; Macroscopic Traffic Model; Extended Kalman Filter; Particle Filter; Data Fusion; Trafiklägesuppskattning; Makroskopisk trafikmodell; Utökad Kalman-filter; Partikelfilter; Datafusion;

    Abstract : Due to the escalating demand for traffic information and management, the significance of traffic state estimation, which involves the assessment of traffic conditions on road segments with limited measurement data, is increasing. Two primary estimation methods are model-driven and data-driven. READ MORE

  3. 2. Digital Front End Algorithms for Sub-Band Full Duplex

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Midhat Rizvi; Khaled Al-Khateeb; [2023]
    Keywords : Adjacent Channel Leakage Ratio; Bit Error Rate; Clipping and Filtering; Crest Factor Reduction; Digital front end; Digital Pre-Distortion Error Vector Magnitude; Frequency Division Duplex; Power Amplifier; Peak to Average Power Ratio; Peak Cancellation Crest Factor Reduction; Sub Band Full Duplex; Self-Interference Cancellation; Signal-to-Interference Noise Ratio; Signal-to-Noise Ratio; Turbo Clipping; Time Division Duplex; Technology and Engineering;

    Abstract : Sub-band full duplex is a new communication scheme technology, where a single frequency band is partitioned into sub-bands for downlink (DL) and up-link(UL) transmissions, and both can take place simultaneously. The idea behind the sub-band full duplex development is to improve the throughput, and coverage and reduce the latency of the UL communication by allowing the UL reception during the DL transmission. READ MORE

  4. 3. The importance of navigability when navigating through student merchandise : A study to research how navigability could improve student e-commerce

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Emelie Gunnesson; Carl Jungerth; Oscar Malmros; Oscar Eriksson; Jonathan Sjöberg; Linus Appelquist; Jacob Törnberg Zeinetz; Lowe Osla; [2023]
    Keywords : ;

    Abstract : The purpose of this report is to examine how a web application should be designed with regard to navigability. E-commerce is a growing sector hence it is of great value to know how to build a web application for the users, this report has chosen to focus on students as the target group. READ MORE

  5. 4. Winter Wheat Harvest Prediction Using Primarily Satellite Radar Data from Sentinel-1

    University essay from Lunds universitet/Matematik LTH

    Author : Oliver Persson Bogdanovski; Christoffer Svenningsson; [2023]
    Keywords : Precision Agriculture; Sentinel-1 SAR; Machine Learning; Winter Wheat; Harvest Prediction; RFI-filtering; Despeckling; Mathematics and Statistics;

    Abstract : Aiding farmers with their tremendous task of sustainably and cost-efficiently feeding the world is of utmost importance. Information technology plays a crucial role in supporting farmers and supplying them with accurate information about their crops. READ MORE

  6. 5. Constructing and representing a knowledge graph(KG) for Positive Energy Districts (PEDs)

    University essay from Högskolan Dalarna/Institutionen för information och teknik

    Author : Mahtab Davari; [2023]
    Keywords : Knowledge graph; Positive Energy Districts PEDs ; longest path; Questions and Answers; Community Detection; Node Embedding; t-SNE plots; Edge Prediction;

    Abstract : In recent years, knowledge graphs(KGs) have become essential tools for visualizing concepts and retrieving contextual information. However, constructing KGs for new and specialized domains like Positive Energy Districts (PEDs) presents unique challenges, particularly when dealing with unstructured texts and ambiguous concepts from academic articles. READ MORE