Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
Localization is one of the main tasks of autonomous mobile robots. There are many approaches on how to determine the robot's position with reasonable precision, as with the use of sensor fusion (IMU, GPS, Image, LiDAR). Even though it is possible to achieve high precision with these sensors combined, a solution that requires less resources in terms of processing, energy consumption and yet provide...
Voice Activity Detection (VAD) plays an important role in current technological applications, such as wireless communications and speech recognition. In this paper, we address the VAD task through machine learning by using a discriminative restricted Boltzmann machine (DRBM). We extend the conventional DRBM to deal with continuous-valued data and employ feature vectors based either on mel-frequency...
The steady growth and popularization of the Web has led spammers to develop techniques to circumvent search engines aiming good visibility to their web pages in search results. They are responsible for serious problems such as dissatisfaction, irritation, exposure to unpleasant or malicious content, and financial loss. Despite different machine learning approaches have been used to detect web spam,...
The strong rising on demand for agricultural crop quantity and quality, beyond the growing concern of non-point pollution, are requiring higher levels on agricultural production systems efficiency and environmental safety. Measurement of the nitrogen (N) on cultivation is one successful method of increase the agricultural production systems. Nitrogen application can increase productivity, decrease...
The increased use of ISM frequencies (Industrial, Scientific and Medical) has caused interference problems and lack of availability of resources for wireless networks. Cognitive Radios (CR) emerged as an alternative to reduce interferences and intelligently use the spectrum. Several protocols have been developed to solve these problems, however, they focus on spectrum sensing or spectrum decision...
Network interfaces are components largely employed in battery powered mobile devices. Considering the need to save energy on these devices, power management policies were developed taking advantage of idle components, including network interfaces. To increase the efficiency of power management policies for network interfaces, the detection of idle periods with a high hit rate is relevant. In this...
The goal of this work is to detect structural damage using vibration-based damage identification approaches even when the damage-sensitive features are camouflaged by the presence of operational and environmental conditions. For feature classification purposes, four machine learning algorithms are applied based on the principal component analysis (PCA), nonlinear PCA, kernel PCA and greedy kernel...
Deep architectures have been used in transfer learning applications, with the aim of improving the performance of networks designed for a given problem by reusing knowledge from another problem. In this work we addressed the transfer of knowledge between deep networks used as classifiers of digit and shape images, considering cases where only the set of class labels, or only the data distribution,...
Automated tracking of axonal neurotransmitter vesicles is a challenging problem in neuroscience. The present vesicle tracking is typically performed manually over confocal microscopy images. NeuronDynamics is a method designed to automate and speed-up the characterization of global vesicle movement in neurons while yielding high accuracy and precision results (similar or better than expert clinicians)...
Deep neural networks comprise several hidden layers of units, which can be pre-trained one at a time via an unsupervised greedy approach. A whole network can then be trained (fine-tuned) in a supervised fashion. One possible pre-training strategy is to regard each hidden layer in the network as the input layer of an auto-encoder. Since auto-encoders aim to reconstruct their own input, their training...
A sampling frequency evaluation used in digital fault recorders for fault locations was implemented. A chained structure of artificial neural networks (ANN) was adopted to locate the faults. The ATP (Alternative Transient Program) software was used in the building of the database for training, testing and validation of the ANN, with different sampling frequencies. The input to the ANN are phase quantities...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.