Wyniki wyszukiwania dla: RECOMMENDATION SYSTEMS - MOST Wiedzy

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Wyniki wyszukiwania dla: RECOMMENDATION SYSTEMS

Wyniki wyszukiwania dla: RECOMMENDATION SYSTEMS

  • Panel obywatelski z perspektywy obserwatora – przypadek Warszawskiego Panelu Klimatycznego - Citizen Assembly from observer perspective – case of Warsaw Climate Assembly

    Publikacja

    - Rok 2021

    Panele obywatelskie są coraz częściej stosowanym w polskich miastach instrumentem demokratycznym. Przykładem tej deliberacyjnej fali był Warszawski Panel Obywatelski, który odbył się jesienią 2020 r. Autor artykułu pełnił rolę obserwatora przy WPK i miał okazję zapoznać się dokładnie z przebiegiem panelu i jego pracami. Praca obejmuje ana-lizę pięciu kluczowych aspektów dla funkcjonowania panelu obywatelskiego, tzn. dobór tematu,...

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  • UAV Photogrammetry under Poor Lighting Conditions—Accuracy Considerations

    Publikacja

    The use of low-level photogrammetry is very broad, and studies in this field are conducted in many aspects. Most research and applications are based on image data acquired during the day, which seems natural and obvious. However, the authors of this paper draw attention to the potential and possible use of UAV photogrammetry during the darker time of the day. The potential of night-time images has not been yet widely recognized,...

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  • Detecting Apples in the Wild: Potential for Harvest Quantity Estimation

    Publikacja
    • A. Janowski
    • R. Kaźmierczak
    • C. Kowalczyk
    • J. Szulwic

    - Sustainability - Rok 2021

    Knowing the exact number of fruits and trees helps farmers to make better decisions in their orchard production management. The current practice of crop estimation practice often involves manual counting of fruits (before harvesting), which is an extremely time-consuming and costly process. Additionally, this is not practicable for large orchards. Thanks to the changes that have taken place in recent years in the field of image...

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  • Evaluation of Lombard Speech Models in the Context of Speech in Noise Enhancement

    Publikacja

    - IEEE Access - Rok 2020

    The Lombard effect is one of the most well-known effects of noise on speech production. Speech with the Lombard effect is more easily recognizable in noisy environments than normal natural speech. Our previous investigations showed that speech synthesis models might retain Lombard-effect characteristics. In this study, we investigate several speech models, such as harmonic, source-filter, and sinusoidal, applied to Lombard speech...

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  • Framework for Integration Decentralized and Untrusted Multi-vendor IoMT Environments

    Publikacja

    - IEEE Access - Rok 2020

    Lack of standardization is highly visible while we use historical data sets or compare our model with others that use IoMT devices from different vendors. The problem also concerns the trust in highly decentralized and anonymous environments where sensitive data are transferred through the Internet and then are analyzed by third-party companies. In our research we propose a standard that has been implemented in the form of framework...

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  • Neural Graph Collaborative Filtering: Analysis of Possibilities on Diverse Datasets

    This paper continues the work by Wang et al. [17]. Its goal is to verify the robustness of the NGCF (Neural Graph Collaborative Filtering) technique by assessing its ability to generalize across different datasets. To achieve this, we first replicated the experiments conducted by Wang et al. [17] to ensure that their replication package is functional. We received sligthly better results for ndcg@20 and somewhat poorer results for...

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  • RECSYS CHALLENGE 2015: a BUY EVENT PREDICTION IN THE E-COMMERCE DOMAIN

    Publikacja

    - Rok 2016

    In this paper we present our approach to RecSys Challenge 2015. Given a set of e-commerce events, the task is to predict whether a user will buy something in the current session and, if yes, which of the item will be bought. We show that the data preparation and enrichment are very important in finding the solution for the challenge and that simple ideas and intuitions could lead to satisfactory results. We also show that simple...