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Wyniki wyszukiwania dla: NAMED ENTITY RECOGNITION

Wyniki wyszukiwania dla: NAMED ENTITY RECOGNITION

  • EMBOA - affective loop in Socially Assistive Robotics as an intervention tool for children with autism

    Kursy Online
    • M. Wróbel
    • A. Landowska

    The aim of the training course "Intensive programmes for higher education learner" within the EMBOA project is to familiarise participants with the use of social robots as an intervention tool for children with autism, emotion recognition and the combination of both methods. Students will be informed about the guidelines and results of the project.

  • SAMOCHÓD SPORTOWY DUOMOTO NAPĘDZANY DWOMA SILNIKAMI SPALINOWYMI

    Przedstawiono zaprojektowany i zbudowany przez zespół czterech dyplomantów Wydziału Mechanicznego Politechniki Gdańskiej samochód sportowy napędzany dwoma silnikami. Jeden z nich umieszczono z przodu pojazdu. Przekazuje on moment obrotowy na koła osi przedniej poprzez zespolony układ napędowy. Drugi silnik, usytuowany ztyłu pojazdu, w identyczny sposób przekazuje moment napędowy na koła osi tylnej....

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  • Features extraction from the electrocatalytic gas sensor responses

    One of the types of gas sensors used for detection and identification of toxic-air pollutant is an electrocatalytic gas sensor. The electrocatalytic sensors are working in cyclic voltammetry mode, enable detection of various gases. Their response are in the form of I-V curves which contain information about the type and the concentration of measured volatile compound. However,...

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  • Robot Eye Perspective in Perceiving Facial Expressions in Interaction with Children with Autism

    The paper concerns automatic facial expression analysis applied in a study of natural “in the wild” interaction between children with autism and a social robot. The paper reports a study that analyzed the recordings captured via a camera located in the eye of a robot. Children with autism exhibit a diverse level of deficits, including ones in social interaction and emotional expression. The aim of the study was to explore the possibility...

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  • Trustworthy Applications of ML Algorithms in Medicine - Discussion and Preliminary Results for a Problem of Small Vessels Disease Diagnosis.

    Publikacja

    - Rok 2022

    ML algorithms are very effective tools for medical data analyzing, especially at image recognition. Although they cannot be considered as a stand-alone diagnostic tool, because it is a black-box, it can certainly be a medical support that minimize negative effect of human-factors. In high-risk domains, not only the correct diagnosis is important, but also the reasoning behind it. Therefore, it is important to focus on trustworthiness...

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  • 4D Reconstruction and Visualisation of Krakow Fortress

    Publikacja
    • E. G. Głowienka
    • K. Michałowska
    • P. Opaliński
    • B. Hejmanowska
    • S. Mikrut
    • P. Kramarczyk
    • A. Struś

    - Rok 2017

    The specific aim of the European project named "Cultural Heritage Through Time" (CHT2) and reported in this paper is to fully integrate the fourth dimension (4D) into Cultural Heritage studies for analysing structures and landscapes over time. Krakow-the Fortress City (Poland) is the one of four case studies of the CHT2, which are used for the time varying reconstruction, analysis, visualization, and preservation. The goal of...

  • Mechanical properties of Precontraint 1202S coated fabric under biaxial tensile test with different load ratios

    The paper describes a method of laboratory tests necessary for identifying the mechanical properties of polyester coated fabrics named Precontraint 1202S with PVDF surface treatment. Two sets of initial material parameters for dense net model and orthotropic model are specified. Material parameters for Precontraint 1202S coated fabric are specified on the basis of the biaxial tensile tests for different load ratios. In order to...

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  • Structural changes in the polish economy- the analysis of input-output

    Publikacja

    - Rok 2011

    this paper analyses the structure of polish economy using three input-output tables for years 1995, 2000 and 2004. applying the traditional methods proposed by rasmussen the sector's backward and forward linkages are identified. industries with large backward and forward linkages are named "key sectors" and play an important role in the development strategy of a country, so the outcome of the paper may be used for the development...

  • Move into the open space – what can we expect from moving artistic interventions to open urban spaces?

    Publikacja

    - Interaction Design & Architecture(s) - Rok 2017

    The paper discuses the role of incorporating creative engagement into the processes of urban and social development using cultural means of action and expression and the potential of artistic interventions in public space. The block of initiatives within the People’s Smart Sculpture EU project, realized by Gdańsk City Gallery, has been named “Move Into The Open Space”. This paper will provide...

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  • An inclination in Thermal Energy Using Nanoparticles with Casson Liquid Past an Expanding Porous Surface

    Publikacja

    - ENERGIES - Rok 2021

    Physical aspects of inclined MHD nanofluid towards a stretching sheet embedded in a porous medium are visualized. Two types of nanoparticles are used named as copper and alumna dioxide with water as base fluid. Similarity transformations are used to convert the partial differential equations into the set of ordinary differential equation. Closed solutions are found to examine the velocity and the temperature profiles. It is examined...

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  • ''Computing with words'' concept applied to musical instrument recognition. W: [CD-ROM] International Symposium of Musical Acoustics. ISMA MEXICO CITY. Mexico City, 9-13 December 2002. Mexico City: Escuela Nacional de Musica UNAM**2002, 8 s. 3 rys. 3 tab. bibliogr. 25 poz. Automatyczne rozpoznawanie klas instrumentów muzycznych w oparciu o wyraże- nia opisujące barwę dźwięku.

    Publikacja

    - Rok 2002

    W referacie przedstawiono nowy sposób automatycznego przetwarzania danychmuzycznych w oparciu o paradygmat zaproponowany przez L. Zadeha. Pozwala tona automatyczne rozpoznawanie klas instrumentów muzycznych wykorzystując o-pis słowny barwy dźwięku. Przedstawiono system realizujący automatyczną kla-syfikację instrumentów muzycznych oparty o metodę zbiorów przybliżonych ilogikę rozmytą.

  • Eye Blink Based Detection of Liveness in Biometric Authentication Systems Using Conditional Random Fields

    Publikacja

    - Rok 2012

    The goal of this paper was to verify whether the conditional random fields are suitable and enough efficient for eye blink detection in user authentication systems based on face recognition with a standard web camera. To evaluate this approach several experiments were carried on using a specially developed test application and video database.

  • Adrian Kastrau mgr inż.

    Osoby

  • Robot-Based Intervention for Children With Autism Spectrum Disorder: A Systematic Literature Review

    Publikacja
    • K. D. Bartl-Pokorny
    • P. Uluer
    • D. E. Barkana
    • A. Baird
    • H. Kose
    • T. Zorcec
    • B. Robins
    • B. Schuller
    • A. Landowska
    • M. Pykała

    - IEEE Access - Rok 2021

    Children with autism spectrum disorder (ASD) have deficits in the socio-communicative domain and frequently face severe difficulties in the recognition and expression of emotions. Existing literature suggested that children with ASD benefit from robot-based interventions. However, studies varied considerably in participant characteristics, applied robots, and trained skills. Here, we reviewed robot-based interventions targeting...

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  • Robust unsupervised georeferencing algorithm for aerial and satellite imagery

    Publikacja

    In order to eliminate a human factor and fully automate the process of embedding the spatial localization information in a remote sensed image the integrated georeferencing method was proposed. The paper presents this unsupervised and robust approach which is comprised of pattern recognition, using SIFT-based detector, and RANSAC based outlier removal with matching algorithm.

  • Calculations of labyrinth seals with and without diagnostic extraction in fluid-flow machines

    Labyrinth seals are essential components of steam turbine unit constructions. Two types of labyrinth seals can be named, the first of which is the seal without diagnostic steam extraction, and the second – with extraction. The distribution of flow parameters along the packing is affected remarkably by the average seal clearance. The presence of diagnostic extraction leads to the equation system which is determinable and can be...

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  • Virtual Whiteboard: A gesture-controlled pen-free tool emulating school whiteboard

    Publikacja

    In the paper the so-called Virtual Whiteboard is presented which may be an alternative solution for modern electronic whiteboards based on electronic pens and sensors. The presented tool enables the user to write, draw and handle whiteboard contents using his/her hands only. An additional equipment such as infrared diodes, infrared cameras or cyber gloves is not needed. The user's interaction with the Virtual Whiteboard computer...

  • Potential and Use of the Googlenet Ann for the Purposes of Inland Water Ships Classification

    Publikacja

    - Polish Maritime Research - Rok 2020

    This article presents an analysis of the possibilities of using the pre-degraded GoogLeNet artificial neural network to classify inland vessels. Inland water authorities monitor the intensity of the vessels via CCTV. Such classification seems to be an improvement in their statutory tasks. The automatic classification of the inland vessels from video recording is a one of the main objectives of the Automatic Ship Recognition and...

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  • Automation of the Road Gate Operations Process at the Container Terminal—A Case Study of DCT Gdańsk SA

    The future increased terminal capacity will result in more container movement through the road complex and rail siding, which are one of the most critical areas (potential bottlenecks) in the container terminal. Truck turnaround time is one of the major factors that customers take into account while deciding how many container volumes they will handle through the container terminal. To enable to optimize increased traffic with...

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  • State of the art electronic nose technology and future trends

    Publikacja

    - Rok 2010

    This chapter briefly reviews the progress in field of artificial olfaction and demonstrates future trends in electronic nose technology. The discussion about e-nose concern also a big challenge for the pattern recognition (PARC) systems due to several particular problems they involve. Finally, the application of e-nose in different areas of life is given.

  • On Facial Expressions and Emotions RGB-D Database

    Publikacja

    - Rok 2014

    The goal of this paper is to present the idea of creating reference database of RGB-D video recordings for recognition of facial expressions and emotions. Two different formats of the recordings used for creation of two versions of the database are described and compared using different criteria. Examples of first applications using databases are also presented to evaluate their usefulness.

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  • Deep neural networks for data analysis

    Kursy Online
    • K. Draszawka

    The aim of the course is to familiarize students with the methods of deep learning for advanced data analysis. Typical areas of application of these types of methods include: image classification, speech recognition and natural language understanding. Celem przedmiotu jest zapoznanie studentów z metodami głębokiego uczenia maszynowego na potrzeby zaawansowanej analizy danych. Do typowych obszarów zastosowań tego typu metod należą:...

  • Quantum structure in competing lizard communities

    Publikacja

    - ECOLOGICAL MODELLING - Rok 2014

    Almost two decades of research on applications of the mathematical formalism of quantum theory as a modeling tool in domains different from the micro-world has given rise to many successful applications in situations related to human behavior and thought, more specifically in cognitive processes of decision-making and the ways concepts are combined into sentences. In this article, we extend this approach to animal behavior, showing...

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  • Using Different Information Channels for Affect-Aware Video Games - A Case Study

    Publikacja

    - Rok 2018

    This paper presents the problem of creating affect-aware video games that use different information channels, such as image, video, physiological signals, input devices, and player’s behaviour, for emotion recognition. Presented case studies of three affect-aware games show certain conditions and limitations for using specific signals to recognize emotions and lead to interesting conclusions.

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  • Reconstruction of 3D structure of positive corona streamer by local methods

    Publikacja
    • M. Kocik
    • M. Tański
    • J. Mizeraczyk
    • R. Ichiki
    • S. Kanazawa
    • J. Dembski

    - Rok 2009

    The computer algorithms were used for reconstruction of streamer 3D structure. We propose the 3D tree structure model of corona discharge streamer composed with nodes and edges between chosen couples of nodes, which enables easy computation of some important parameters ofstreamers. The 3D model can be derived directly from two projection images by global methods like evolutionary searching or particle simulations. In this paper...

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  • Two Stage SVM and kNN Text Documents Classifier

    Publikacja

    - Rok 2015

    The paper presents an approach to the large scale text documents classification problem in parallel environments. A two stage classifier is proposed, based on a combination of k-nearest neighbors and support vector machines classification methods. The details of the classifier and the parallelisation of classification, learning and prediction phases are described. The classifier makes use of our method named one-vs-near. It is...

  • Mitigation of Fake Data Content Poisoning Attacks in NDN via Blockchain

    Publikacja

    Abstract—Information-centric networks struggle with content poisoning attacks (CPAs), especially their stronger form called Fake Data CPA, in which an intruder publisher uploads content signed with stolen credentials. Following an existing graphinfection based approach leveraging the constrained time when stolen credentials are useful, we design a blockchain-based mitigation scheme for Named Data Networking architectures. We postulate...

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  • Dariusz Mikielewicz prof. dr hab. inż.

    Dariusz Mikielewicz – urodził się 6 lutego 1967 roku w Gdańsku, w 1985r. zdał pomyślnie egzaminy wstępne na Wydział Budowy Maszyn Politechniki Gdańskiej, który ukończył z wynikiem bardzo dobrym w 1990 roku na specjalności Maszyny i Urządzenia Energetyczne. Zainteresowania pracą naukową skłoniły go do podjęcia badań na University of Manchester na wydziale mechanicznym i energetyki jądrowej (Mechanical and Nuclear Engineering Department)...

  • Julita Wasilczuk dr hab.

    Urodzona 5 kwietnia 1965 roku w Gdańsku. W latach 1987–1991 odbyła studia na Wydziale Ekonomiki Transportu Uniwersytetu Gdańskiego (obecnie Wydział Ekonomii). Od 1993 roku zatrudniona na nowo utworzonym Wydziale Zarządzania i Ekonomii, Politechniki Gdańskiej, na stanowisku asystenta. W 1997 roku uzyskała stopień doktora nauk ekonomicznych na WZiE, a w 2006 doktora habilitowanego nauk ekonomicznych w dyscyplinie nauki o zarządzaniu,...

  • Information-driven network resilience: Research challenges and perspectives

    Publikacja
    • J. Rak
    • D. Papadimitriou
    • H. Niedermayer
    • P. Romero

    - Optical Switching and Networking - Rok 2017

    Internet designed over 40 years ago was originally focused on host-to-host message delivery in a best-effort manner. However, introduction of new applications over the years have brought about new requirements related with throughput, scalability, mobility, security, connectivity, and availability among others. Additionally, convergence of telecommunications, media, and information technology was responsible for transformation...

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  • An electronic nose based on the semiconducting and electrochemical gas sensors

    The practical application of human nose for fragrance recognition is severely limited by the fact that our sense of smell is subjective and gets tired easily. Consequently, there is a significant need for an instrument that can be a substitution of the human sense of smell. Development of an electronic nose devices is an active area of research starting from pioneering research of Dodd and Persuad in the mid-1980s. Such systems...

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  • Further developments of parameterization methods of audio stream analysis for secuirty purposes

    Publikacja

    - Rok 2009

    The paper presents an automatic sound recognition algorithm intended for application in an audiovisual security monitoring system. A distributed character of security systems does not allow for simultaneous observation of multiple multimedia streams, thus an automatic recognition algorithm must be introduced. In the paper, a module for the parameterization and automatic detection of audio events is described. The spectral analyses...

  • Model of control plane of ASON/GMPLS network

    ASON (Automatic Switched Optical Network) is a concept of optical network recommended in G.8080/Y.1304 by ITU-T. Control Plane of this network could be based on GMPLS (Generalized Multi-Protocol Label Switching) protocols. This solution, an ASON control plane built on GMPLS protocols is named ASON/GMPLS. In the paper, we decompose the control plane problem and show the main concepts of ASON network. We propose a hierarchical architecture...

  • Comparison of various speech time-scale modificartion methods

    The objective of this work is to investigate the influence of the different time-scale modification (TSM) methods on the quality of the speech stretched up using the designed non-uniform real-time speech time-scale modification algorithm (NU-RTSM). The algorithm provides a combination of the typical TSM algorithm with the vowels, consonants, stutter, transients and silence detectors. Based on the information about the content and...

  • Z type Observer Backstepping For Induction Machines

    This paper contains a relatively new synthesis method for non-linear objects, named backstepping. This method can be used to obtain the observer structure. The paper presents the structure of the speed observer which is a new proposition of observer backstepping with additional state variables marked Z. The rotor speed can be estimated in three different ways. The first is based on the adaptive approach, the second on the nonadaptive...

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  • Analysis of luminance distribution uniformity 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. The effect of user “immersion” into virtual reality in such systems is largely dependent of optical properties of the system. In this paper, problems of luminance distribution uniformity in CAVE-type virtual reality systems are analyzed. For better characterization of CAVE luminance nonuniformity corner and...

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  • Analysis of the macrostructure of the fuel spray atomized with marine engine injector

    Publikacja

    One of the main problem influencing the combustion process in the cylinder of the marine engine is an fuel spray phenomena. The parameters describing the shape of the fuel spray are named macro parameters. This article presents the research results of the macrostructure parameters of the fuel spray atomized with the marine engine injector. The research were carried out by optical visualization measurement method of Mie scattering....

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  • A Web-GIS tool for diagnosing spatial orientation of young adults: design and evaluation of Geo-Survey

    Publikacja

    - Scientific Reports - Rok 2023

    Spatial orientation is the effectiveness with which one is able to assess the mutual location of objects relative to a point of reference or a system of coordinates. Traditionally, this ability has been evaluated through field navigation tests, which do not take into account the prevailing influence of free online maps and virtual walks on a person’s interpretation of space. In this context, this study presents a Web-GIS tool designed...

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  • RDF dataset profiling - a survey of features, methods, vocabularies and applications

    Publikacja
    • M. B. Ellefi
    • B. Zohra
    • J. G. Breslin
    • E. Demidova
    • S. Dietze
    • K. Todorov
    • J. Szymański

    - Semantic Web - Rok 2018

    The Web of Data, and in particular Linked Data, has seen tremendous growth over the past years. However, reuse and take-up of these rich data sources is often limited and focused on a few well-known and established RDF datasets. This can be partially attributed to the lack of reliable and up-to-date information about the characteristics of available datasets. While RDF datasets vary heavily with respect to the features related...

  • Joanna Bach-Głowińska dr inż. arch.

    I am an architect by education (M.Sc. Arch 1994) and practice (1994-2011), a Town Planner by practice (1999-2017, Ministerial Entitlements 1655/2002), and a Researcher (Ph.D.2012, Postdoctoral Research Fellow at Glasgow School of Art 2013 - 2015, also teaching on Gdansk University of Technology since 2014). I have been the Principal Investigator of Era Net Urban Transformation Capacities EmbedterLabs: Better Embedded Labs for More...

  • Distributed Representations Based on Geometric Algebra: the Continuous Model

    Publikacja

    - Informatica - Rok 2011

    Authors revise the concept of a distributed representation of data as well as two previously developed models: Holographic Reduced Representation (HRR) and Binary Spatter Codes (BSC). A Geometric Analogue (GAc - ''c'' stands for continuous as opposed to its discrete version) of HRR is introduced - it employs role-filler binding based on geometric products. Atomic objects are real-valued vectors in n-dimensional Euclidean space...

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  • Improving the Accuracy in Sentiment Classification in the Light of Modelling the Latent Semantic Relations

    Publikacja

    - Information - Rok 2018

    The research presents the methodology of improving the accuracy in sentiment classification in the light of modelling the latent semantic relations (LSR). The objective of this methodology is to find ways of eliminating the limitations of the discriminant and probabilistic methods for LSR revealing and customizing the sentiment classification process (SCP) to the more accurate recognition of text tonality. This objective was achieved...

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  • Validating data acquired with experimental multimodal biometric system installed in bank branches

    An experimental system was engineered and implemented in 100 copies inside a real banking environment comprising: dynamic handwritten signature verification, face recognition, bank client voice recognition and hand vein distribution verification. The main purpose of the presented research was to analyze questionnaire responses reflecting user opinions on: comfort, ergonomics, intuitiveness and other aspects of the biometric enrollment...

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  • Comparison of Methods for Real and Imaginary Motion Classification from EEG Signals

    Publikacja

    A method for feature extraction and results of classification of EEG signals obtained from performed and imagined motion are presented. A set of 615 features was obtained to serve for the recognition of type and laterality of motion using 8 different classifications approaches. A comparison of achieved classifiers accuracy is presented in the paper, and then conclusions and discussion are provided. Among applied algorithms the...

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  • AUGMENTATION OF THE CRITICAL HEAT FLUX IN WATER-Al2O3, WATER-TiO2 AND WATER-Cu NANOFLUIDS

    Publikacja

    The main aim of the proposed study is therefore recognition of the phenomena accompanying nucleate boiling crisis of selected nanofluids during boiling on horizontal tubes of various outside diameters. Of particular interest is impact of contact angle and tube diameter on the value of critical heat flux. The results obtained should give more light on the nature of nucleate boiling crisis and will serve as a basis for future theoretical...

  • Biometryczna kontrola dostępu

    Opisano szczegółowo algorytm detekcji oraz identyfikacji człowieka na podstawie punktów nodalnych twarzy. Zdefiniowano pojęcia: biometria, proces pomiaru biometrycznego, metody biometrycznej identyfikacji oraz kontrola dostępu. Przedstawiono opis opracowanego systemu biometrycznej identyfikacji wykorzystującego sztuczne sieci neuronowe. Podano wyniki badań oraz przeprowadzono ich wnikliwą dyskusję.Biometrics is the study of automated...

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  • Robust Object Detection with Multi-input Multi-output Faster R-CNN

    Publikacja

    Recent years have seen impressive progress in visual recognition on many benchmarks, however, generalization to the out-of-distribution setting remains a significant challenge. A state-of-the-art method for robust visual recognition is model ensembling. However, recently it was shown that similarly competitive results could be achieved with a much smaller cost, by using multi-input multi-output architecture (MIMO). In this work,...

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  • Noise profiling for speech enhancement employing machine learning models

    Publikacja

    - Journal of the Acoustical Society of America - Rok 2022

    This paper aims to propose a noise profiling method that can be performed in near real-time based on machine learning (ML). To address challenges related to noise profiling effectively, we start with a critical review of the literature background. Then, we outline the experiment performed consisting of two parts. The first part concerns the noise recognition model built upon several baseline classifiers and noise signal features...

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  • Towards Contactless, Hand Gestures-Based Control of Devices

    Publikacja

    Gesture-based intuitive interactions with electronic devices can be an important part of smart home systems. In this paper, we adapt the contactless linear gesture sensor for the navigation of smart lighting system. Set of handled gestures allow to propose two methods of active light source selection, continuous dimming, and turning on and off based on discrete gestures. The average gesture recognition accuracy was 97.58% in the...

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  • Robust Object Detection with Multi-input Multi-output Faster R-CNN

    Publikacja

    Recent years have seen impressive progress in visual recognition on many benchmarks, however, generalization to the out-of-distribution setting remains a significant challenge. A state-of-the-art method for robust visual recognition is model ensembling. However, recently it was shown that similarly competitive results could be achieved with a much smaller cost, by using multi-input multi-output architecture (MIMO). In this work,...

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