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Wyniki wyszukiwania dla: library user training

Wyniki wyszukiwania dla: library user training

  • GIS Solution for Weather Forecast Data Analysis

    Publikacja

    In this paper authors present the GIS system for the analysis of the numerical weather prediction data. This kind of data has multidimensional character (three dimensions and time) and its analysis should consider all the available factors. Proposed GIS system consists of RASDAMAN application with implemented OLAP cube mechanism, which enables the user to process data in the spatial-time domain. It also simplifies the meteorological...

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  • Możliwości integracji projektów sztuki nowych mediów w procesy odnowy przestrzeni miejskiej

    Publikacja

    - Rok 2023

    Zadaniem badawczym podjętym w rozprawie było wykazanie możliwość integracji projektów sztuki nowych mediów w procesy odnowy przestrzeni miejskiej. Wyodrębniono cztery etapy procesów odnowy miast: diagnozę, planowanie, realizację oraz ewaluację. Wskazano, że na etapie diagnozy sztuka nowych mediów może między innymi wspierać proces zbierania i wizualizacji danych, informować mieszkańców o stanie środowiska miejskiego. Na etapie...

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  • Anna Lis dr hab. inż.

    Anna Lis od 2019 roku pełni funkcję kierownika Katedry Zarządzania w Przemyśle, na Wydziale Zarządzania i Ekonomii PG. W 2005 r. otrzymała stopień doktora nauk ekonomicznych w zakresie nauk o zarządzaniu, zaś w 2019 – stopień doktora habilitowanego w dziedzinie nauk społecznych w dyscyplinie nauk o zarządzaniu i jakości. W latach 2004-2009 była zatrudniona na Wydziale Inżynierii Produkcji Politechniki Warszawskiej. W latach 2006-2007...

  • Revenues from the sale of books in Poland (2009-2013)

    Dane Badawcze
    open access

      According to the report "The book market in Poland 2014, the Library of Analysis", nearly 40,000 publishers were registered in Poland until mid-2013, of which it is estimated that only about 2,000-2,500 were active as publishers. According to the estimates of the authors of the Report, the value of the Polish book market in 2013 amounted to PLN 2.68...

  • Quality Expectations of Mobile Subscribers

    Mobile systems, by nature, have finite resources. Radio spectrum is limited, expensive and shared between many users and services. Mobile broadband networks must support multiple applications of voice, video and data on a single IP-based infrastructure. These converged services each have unique traffic holding and quality requirements. A positive user experience must be obtained through efficient partitioning of the available wireless...

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  • Modelling Of Commercial Websites. A New Perspective On Usability And Customer Relation

    From an economic point of view, a critical aspect of online services is their ability to retain customers. The aim of presented study was the use of a layered model VIPR (Visual - Interaction - Process - Relation ) for commercial services online. The indicator of trust and establishing lasting relationships were assessment achieved from experienced users of commercial online services (n = 207), obtained by means of Web Credibility...

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  • ON EGNOS MONITORING IN LOCAL CONDITIONS

    Any SBAS system should deliver to the user corrections to pseudoranges as well as information about the system integrity. In theory, as soon as the system is permanently monitored by RIMS stations, it is impossible to deliver the fault information to the user. However many observations shows that accuracy of EGNOS service in the same time are different in different places, which shows the influence of local conditions on them....

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  • Investigation of optical properties of Infitec and Active Stereo stereoscopic techniques for CAVE-type virtual reality systems

    In recent years, many scientific and industrial centres in the world developed virtual reality systems or laboratories. At present, among the most advanced virtual reality systems are CAVE-type (Cave Automatic Virtual Environment) installations. Such systems usually consist of four, five, or six projection screens arranged in the form of a closed or hemi-closed space. The basic task of such systems is to ensure the effect of user...

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  • Lighting Design for the 21st Century Applied research in lighting practice

    For those who are unfamiliar with research, it’s important to know there are two categories. Fundamental (or basic) research and applied research. Basic research often discusses scientific ideas/theories, whereas, applied research explores testing these ideas in practice to develop technology or techniques. It’s applied research which most interests lighting practitioners. Great lighting design that creates a pleasant and beneficial...

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  • Video of LEGO bricks on conveyor belt - flags and signs

    Dane Badawcze

    The set contains videos of LEGO bricks (flags and signs) moving on a white conveyor belt. The images were prepared for training neural network for recognition of LEGO bricks. The bricks were separated as much as possible and in most cases they should not overlap. The images were taken from different sides by stationary camera located over the final...

  • Tagged images with bees

    Dane Badawcze
    open access - seria: Bees

    Images taken from bee hive with tagged bees. The images are prepared for training yolo5 deep neural network (supplied with the data).

  • Estymacja parametrów kanału NB-IoT w łączu w dół.

    Artykuł dotyczy doboru metody estymacji parametrów kanału, odpowiedniej do zastosowania w terminalu wąskopasmowego Internetu Rzeczy. Przedstawiono strukturę sygnału pilotowego NRS, używanego do wyznaczenia współczynników kanału w LTE-NB. Zaproponowano cztery warianty metody wyznaczenia współczynników kanału dla całej ramki transmisyjnej. Dokonano oceny tych wariantów w oparciu o dwa wskaźniki jakościowe skojarzone z błędem odtworzonych...

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  • Otwarte zasoby edukacyjne - przegląd inicjatyw w Polsce i na świecie

    Publikacja

    Otwarte zasoby edukacyjne (OZE) to materiały szkoleniowe oraz narzędzia wspierające zarówno uczenie, jak i nauczanie. Zjawisko to nierozerwalnie łączy się z szerszym pojęciem otwartej edukacji (OE), które postuluje zniesienie barier w nauczaniu tak, aby uczący się mogli zdobywać wiedzę zgodnie ze swoimi potrzebami edukacyjno-szkoleniowymi. Celem artykułu jest zapoznanie czytelników z zagadnieniem otwartych zasobów edukacyjnych,...

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  • Hardware accelerated thin client for virtual reality applications

    Thin client applications often make minimal use of hardware available at the client side. This article focuses on the problem of creating portable thin client application for virtual reality applications, which allows use of client graphics hardware to aid rendering process. Some already available potential solutions are presented and entirely new protocol for client-server communication is presented to allow fast and reliable...

  • For Your Eyes Only – Biometric Protection of PDF Documents

    Publikacja

    The paper introduces a concept of a digital document content encryption/decryption with facial biometric data coming from a legitimate user. Access to the document content is simple and straightforward, especially during collaborative work with mobile devices equipped with cameras. Various contexts of document exchange are presented with regard to the next generation pro-active digital documents proposed by authors. An important...

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  • Comparison of active proximity radars for the wearable devices

    Publikacja

    - Rok 2015

    Two methods of object position and movement estimation in relation to the user of smart glasses were investigated. An active infrared and ultrasonic methods of the obstacle detection were presented and compared. Application of these methods depend on active transducers type (physical medium used), geometry and surface properties of detected objects and their movement direction and speed. In the article properties of both detectors...

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  • Management of Textual Data at Conceptual Level

    Publikacja

    - Rok 2011

    The article presents the approach to the management of a large repository of documents at conceptual level. We describe our approach to representing Wikipedia articles using their categories. The representation has been used to construct groups of similar articles. Proposed approach has been implemented in prototype system that allows to organize articles that are search results for a given query. Constructed clusters allow to...

  • Computer-aided analysis of signals from a low-coherence Fabry-Perot interferometer used for measurements of biological samples

    Publikacja

    The aim of the study was to develop an automated computer-aided system for analysis of spectrograms obtained from measurements of biological samples performed with a low-coherence Fabry-Pérot interferometer. Information necessary to determine dispersion characteristics of measured materials can be calculated from the positions of the maxima and minima that are present in their spectra. The main challenge faced during the development...

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  • AffecTube — Chrome extension for YouTube video affective annotations

    Publikacja

    The shortage of emotion-annotated video datasets suitable for training and validating machine learning models for facial expression-based emotion recognition stems primarily from the significant effort and cost required for manual annotation. In this paper, we present AffecTube as a comprehensive solution that leverages crowdsourcing to annotate videos directly on the YouTube platform, resulting in ready-to-use emotion-annotated...

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  • Local Texture Pattern Selection for Efficient Face Recognition and Tracking

    This paper describes the research aimed at finding the optimal configuration of the face recognition algorithm based on local texture descriptors (binary and ternary patterns). Since the identification module was supposed to be a part of the face tracking system developed for interactive wearable computer, proper feature selection, allowing for real-time operation, became particularly important. Our experiments showed that it is...

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  • Evaluating Performance and Accuracy Improvements for Attention-OCR

    In this paper we evaluated a set of potential improvements to the successful Attention-OCR architecture, designed to predict multiline text from unconstrained scenes in real-world images. We investigated the impact of several optimizations on model’s accuracy, including employing dynamic RNNs (Recurrent Neural Networks), scheduled sampling, BiLSTM (Bidirectional Long Short-Term Memory) and a modified attention model. BiLSTM was...

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  • Auditory-visual attention stimulator

    New approach to lateralization irregularities formation was proposed. The emphasis is put on the relationship between visual and auditory attention stimulation. In this approach hearing is stimulated using time scale modified speech and sight is stimulated by rendering the text of the currently heard speech. Moreover, displayed text is modified using several techniques i.e. zooming, highlighting etc. In the experimental part of...

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  • Collaborative Data Acquisition and Learning Support

    With the constant development of neural networks, traditional algorithms relying on data structures lose their significance as more and more solutions are using AI rather than traditional algorithms. This in turn requires a lot of correctly annotated and informative data samples. In this paper, we propose a crowdsourcing based approach for data acquisition and tagging with support for Active Learning where the system acts as an...

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  • Discussing daylight simulations in a proposal for online daylighting education.

    Publikacja
    • F. Giuliani
    • M. Khanie, Sarey
    • N. Sokół
    • N. Gentile,

    - Rok 2020

    There is increasing interest concerning daylighting in the building sector. However, such knowledge is difficult to penetrate the curricula of architects and designers as existing educational programmes often do not provide sufficient training on BPS. This also leads to superficial use of daylight simulations. This paper presents a proposal for a needs-based education package on daylighting design, that mixes modular eLearning...

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  • AITP - AI Thermal Pedestrians Dataset

    Efficient pedestrian detection is a very important task in ensuring safety within road conditions, especially after sunset. One way to achieve this goal is to use thermal imaging in conjunction with deep learning methods and an annotated dataset for models training. In this work, such a dataset has been created by capturing thermal images of pedestrians in different weather and traffic conditions. All images were manually annotated...

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  • Evaluati on of long-term start up costs impact on short-term price based operational optimization of a CCGT using MILP

    Publikacja
    • S. Gotzman
    • P. Ziόłkowski
    • J. Badur

    - E3S Web of Conferences - Rok 2019

    An increasing share of the weather-dependent RES generation in the power system leads to the growing importance of flexibility of conventional power plants. They were usually designed for base load operation and it is a challenge to determine the actual long-term cycling costs, which account for an increase in maintenance and overhaul expenditures, increased forced outage rates and shortened life expectancy of the plant and components....

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  • Ultrasound assisted synthesis of 3-alkynyl substituted 2-chloroquinoxaline derivatives: Their in silico assessment as potential ligands for N-protein of SARS-CoV-2

    Publikacja
    • S. Shahinshavali
    • K. A. Hossain
    • A. V. D. N. Kumar
    • A. G. Reddy
    • D. Kolli
    • A. Nakhi
    • M. V. B. Rao
    • M. Pal

    - TETRAHEDRON LETTERS - Rok 2020

    In view of recent global pandemic the 3-alkynyl substituted 2-chloroquinoxaline framework has been explored as a potential template for the design of molecules targeting COVID-19. Initial in silico studies of representative compounds to assess their binding affinities via docking into the N-terminal RNA-binding domain (NTD) of N-protein of SARS-CoV-2 prompted further study of these molecules. Thus building of a small library of...

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  • Modelling the context of use for Intranet portals design

    Publikacja

    - Rok 2007

    Intranet portals in contemporary enterprises affect the way how people work, communicate and build relationships within teams and organizations. Developing high usability in Intranet projects requires analysing context of use and including many additional organizational and cultural factors, normally not present in regular software projects. A modelling framework presented in this paper is useful for analysing context of use for...

  • Contextualizing a Knowledge Base by Approximation – A Case Study

    Modular knowledge bases give their users opportunity to store and access knowledge at different levels of generality. In this paper we present how to organize a modular knowledge bases organized into contexts in which a user can express their knowledge in much simplified way, yet without losing its precision. The work is centered around the notion of approximation - i.e. reducing the arity of predicates used. The presentation is...

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  • Comparison of modelling and measurement results of spectra emitted by a programmable lamp

    Nowadays artificial light with an optimized spectrum is used in many different applications. For instance, it is widely used in museums and exhibitions to illuminate the art. Moreover, such light stimulates the growth of plants, or can be applied in industry and healthcare. To achieve the best results for each application, the adjusting of a dedicated spectrum is required, which is a complicated task. The ongoing research is focused...

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  • Self diagnostics using smart glasses - preliminary study

    n this preliminary study we analyzed the possibility of the reliable measurement of biomedical signals with some potential hardware extensions of smart glasses. Using specially designed experimental prototypes four category of biomedical signals were measured: electrocardiograms, electromyograms, electroencephalograms and respiration waveforms. Experi- ments with volunteers proved that using even simple construc- tion of sensors...

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  • A navigation device utilizing body communication channel for mobile wearable systems

    Publikacja

    - Rok 2017

    A novel touch sensor utilizing a body communication technology is presented in the paper. The proposed device accepts orders (gestures) only from a person wearing it. Moreover, when comparing it to a similar, however an optical one, it appears as a less power consumable. Preliminary results of its properties examination are presented and discussed. Additionally, the developed sensor allows to measure a human body the electrical...

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  • Badania systemów powstrzymujących pojazd przed wypadnięciem z drogi - cz. I

    Transportation systems are designed and used so as to effectively and safely relocate people, goods and services. Despite this there are numerous hazards that disrupt or damage these systems. Risks such as extreme weather conditions, terrorist threats, landsliders or earthquakes are difficult to predict, manage and mitigate. One of the hazards for transportation systems are accidents, and their impact on the transport functioning...

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  • Marek Zienkiewicz dr inż.

    Doktor inżynier Marek Hubert dwojga imion Zienkiewicz jest absolwentem Wydziału Geodezji, Inżynierii Przestrzennej i Budownictwa Uniwersytetu Warmińsko-Mazurskiego w Olsztynie. Zainteresowania naukowe w okresie studiów inżynierskich, magisterskich i doktoranckich rozwijał pod opieką przedstawicieli olsztyńskiej szkoły geodezyjnego rachunku wyrównawczego. W roku 2011 uzyskał tytuł zawodowy magistra inżyniera w zakresie geodezji...

  • Architektura przyszłości – przekraczanie granic poprzez interfejsy

    Publikacja

    - Rok 2014

    Architektura przyszłości rozpatrywana jest w kontekście rozwoju technologii cyfrowych, które umożliwiają nadawanie obiektom architektonicznym cech interfejsów. Przekraczanie granic dotyczy więc nadawania architekturze nowych funkcji - funkcjonalności zapożyczonych ze świata wirtualnego, emisji informacji oraz interakcji. W tym ujęciu „interfejs architektoniczny” stanowi płaszczyznę komunikacji pomiędzy obiektem architektonicznym...

  • Investigation of tracking systems properties in CAVE-type virtual reality systems

    Publikacja

    In recent years, many scientific and industrial centers in the world developed a virtual reality systems or laboratories. One of the most advanced solutions are Immersive 3D Visualization Lab (I3DVL), a CAVE-type (Cave Automatic Virtual Environment) laboratory. It contains two CAVE-type installations: six-screen installation arranged in a form of a cube, and four-screen installation, a simplified version of the previous one. The...

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  • Quality Evaluation of Speech Transmission via Two-way BPL-PLC Voice Communication System in an Underground Mine

    Publikacja

    In order to design a stable and reliable voice communication system, it is essential to know how many resources are necessary for conveying quality content. These parameters may include objective quality of service (QoS) metrics, such as: available bandwidth, bit error rate (BER), delay, latency as well as subjective quality of experience (QoE) related to user expectations. QoE is expressed as clarity of speech and the ability...

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  • The Pomerania Design Faktory as an Example of 50+ Entrepreneurship Promotion

    Publikacja

    - Rok 2014

    The article presents one of the programmes carried out by The Gdańsk Entrepreneurs' Foundation and The Gdansk Labor Office in 2013/14, dedicated to seniors. It is a great example of an innovative project aimed at the activation of individuals aged 50+ by using their own talents and interests in business. It also shows the results of intergenerational cooperation because the trainers — especially the designers — were much younger...

  • Ship Resistance Prediction with Artificial Neural Networks

    Publikacja

    - Rok 2015

    The paper is dedicated to a new method of ship’s resistance prediction using Artificial Neural Network (ANN). In the initial stage selected ships parameters are prepared to be used as a training and validation sets. Next step is to verify several network structures and to determine parameters with the highest influence on the result resistance. Finally, other parameters expected to impact the resistance are proposed. The research utilizes...

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  • Melody Harmonization with Interpolated Probabilistic Models

    Publikacja

    - Journal of New Music Research - Rok 2013

    Most melody harmonization systems use the generative hidden Markov model (HMM), which model the relation between the hidden chords and the observed melody. Relations to other variables, such as the tonality or the metric structure, are handled by training multiple HMMs or are ignored. In this paper, we propose a discriminative means of combining multiple probabilistic models of various musical variables by means of model interpolation....

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  • Interpretable deep learning approach for classification of breast cancer - a comparative analysis of multiple instance learning models

    Breast cancer is the most frequent female cancer. Its early diagnosis increases the chances of a complete cure for the patient. Suitably designed deep learning algorithms can be an excellent tool for quick screening analysis and support radiologists and oncologists in diagnosing breast cancer.The design of a deep learning-based system for automated breast cancer diagnosis is not easy due to the lack of annotated data, especially...

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  • MOODLE MOOCS - PRZYPADKI UŻYCIA W PROJEKCIE SP4CE (PARTNERSTWO STRATEGICZNE NA RZECZ KREATYWNOŚCI I PRZEDSIĘBIORCZOŚCI)

    Projekt SP4CE (Partnerstwo strategiczne na rzecz kreatywności i przedsiębiorczości) jest odpowiedzią na potrzeby zidentyfikowane w komunikacie z Brugii w sprawie ściślejszej europejskiej współpracy w dziedzinie kształcenia i szkolenia zawodowego w latach 2011 - 2020. Do realizacji portalu SP4CE wykorzystano oprogramowanie WordPress i Moodle. WordPress wykorzystano m.in. do udostępnienia materiałów informacyjnych oraz szkoleniowych...

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  • Artificial Neural Networks as an architectural design tool- generating new detail forms based on the Roman Corinthian order capital

    The following paper presents the results of the research in the field of the machine learning, investigating the scope of application of the artificial neural networks algorithms as a tool in architectural design. The computational experiment was held using the backward propagation of errors method of training the artificial neural network, which was trained based on the geometry of the details of the Roman Corinthian order capital....

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  • Nested Kriging with Variable Domain Thickness for Rapid Surrogate Modeling and Design Optimization of Antennas

    Design of modern antennas faces numerous difficulties, partially rooted in stringent specifications imposed on both electrical and field characteristics, demands concerning various functionalities (circular polarization, pattern diversity, band-notch operation), but also constraints imposed upon the physical size of the radiators. Conducting the design process at the level of full-wave electromagnetic (EM) simulations, otherwise...

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  • Self-assessment of competencies of students and graduates participating in didactic projects – Case study

    Aim/purpose: the aim of this article is to examine the opinions of students and graduates of the faculty of economics of a technical university as regards their selfassessment of their preparation for entering the modern labour market. All the respondents participated during their studies in didactic projects aimed at improving their competencies taking into account the expectations of potential employers. Design/methodology/approach:...

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  • Robust and Efficient Machine Learning Algorithms for Visual Recognition

    Publikacja

    - Rok 2022

    In visual recognition, the task is to identify and localize all objects of interest in the input image. With the ubiquitous presence of visual data in modern days, the role of object recognition algorithms is becoming more significant than ever and ranges from autonomous driving to computer-aided diagnosis in medicine. Current models for visual recognition are dominated by models based on Convolutional Neural Networks (CNNs), which...

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  • A novel cold-active beta-D-galactosidase from the Paracoccus sp. 32d - gene cloning, purification and characterization

    Publikacja

    - Microbial Cell Factories - Rok 2011

    Beta-D-galactosidase (EC 3.2.1.23) catalyze the hydrolysis of terminal non-reducing beta-D-galactose residues in beta-D-galactosides. Cold-active beta-D-galactosidases have recently become a focus of attention of researchers and dairy product manufactures owing to theirs ability to: (I) eliminate of lactose from refrigerated milk for people afflicted with lactose intolerance, (II) convert lactose to glucose and galactose which...

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  • Nadzeya Sabatini dr

    Nadzeya Sabatini is Assistant Professor in Digital Transformation at Gdańsk University of Technology (Gdansk, Poland), its Department of Informatics in Management (Faculty of Management and Economics). Nadzeya is lecturer at USI – Università della Svizzera italiana (Lugano, Switzerland), a research fellow at the Institute of Digital Technologies for Communication of the same university, and coordinator of MSc in Digital Fashion...

  • Face detection algorithms evaluation for the bank client verification

    Publikacja

    Results of investigation of face detection algorithms in the video sequences are presented in the paper. The recordings were made with a miniature industrial USB camera in real conditions met in three bank operating rooms. The aim of the experiments was to check the practical usability of the face detection method in the biometric bank client verification system. The main assumption was to provide as much as possible user interaction...

  • Systematic Literature Review on Click Through Rate Prediction

    The ability to anticipate whether a user will click on an item is one of the most crucial aspects of operating an e-commerce business, and clickthrough rate prediction is an attempt to provide an answer to this question. Beginning with the simplest multilayer perceptrons and progressing to the most sophisticated attention networks, researchers employ a variety of methods to solve this issue. In this paper, we present the findings...

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