作者: gastritis 時(shí)間: 2025-3-21 22:02 作者: Observe 時(shí)間: 2025-3-22 02:18 作者: 時(shí)代錯(cuò)誤 時(shí)間: 2025-3-22 06:50
Eougenious L. Ivchenko,Grigory Pikusen with blindfold, and visually impaired use the sense of touch to identify spatial geometric objects. An experiment was made and through the data of the recorded brain signals, decision tree techniques were applied to understand the main areas involved in the brain activities during the execution o作者: 碳水化合物 時(shí)間: 2025-3-22 10:01 作者: Virtues 時(shí)間: 2025-3-22 15:40 作者: Virtues 時(shí)間: 2025-3-22 17:04 作者: ALIBI 時(shí)間: 2025-3-22 23:53
Cyberbullying Classification Using Extreme Learning Machine Applied to Portuguese Languagen this paper, a solution to the Cyberbullying classification problem using machine learning (Extreme Learning Machine) is proposed. The application of the proposed method to a database of sentences in Portuguese language shows promising results where compared to a standard method available in the literature.作者: indemnify 時(shí)間: 2025-3-23 02:32
T. L. Markin,R. J. Bones,R. M. Delllations using the Lyapunov Stability Criterion (LSC). The presented technique does not depend on the Neural Networks to be synchronized but also presents a lower computational cost in comparison with previous works. The results show that FPGAs are good platforms for such experiments.作者: 充滿人 時(shí)間: 2025-3-23 08:03
Superior Beings: They May Be Undecidable,for data analysis. The foundations and basic concepts of some DL models are presented in order to offer a brief understanding to scientists. Likewise, applications of these models on Neuroscience researches are also presented.作者: opinionated 時(shí)間: 2025-3-23 13:11
Superior Beings: They May Be Undecidable,d high street crime concentrations between the years of 2007 and 2016. With this preliminary experiment, we investigate the use of convolutional neural networks (CNN) for the task of crime rating through visual scene analysis and found possibilities towards automatic crime rate predictions using CNN models.作者: mitten 時(shí)間: 2025-3-23 14:00
Omnipotence: Moving and Staying Power,revious knowledge whenever some few pseudo-samples of previously recorded patterns are generated..Despite having lower performance than giving the network samples of the real dataset, this model is more biologically plausible and might help to reduce the need of storing previously trained data on bigger-scale classification classification models.作者: grudging 時(shí)間: 2025-3-23 18:08 作者: alcohol-abuse 時(shí)間: 2025-3-24 01:20
How Artificial Intelligence is Supporting Neuroscience Research: A Discussion About Foundations, Metfor data analysis. The foundations and basic concepts of some DL models are presented in order to offer a brief understanding to scientists. Likewise, applications of these models on Neuroscience researches are also presented.作者: 剝削 時(shí)間: 2025-3-24 05:48
Investigating Crime Rate Prediction Using Street-Level Images and Siamese Convolutional Neural Netwod high street crime concentrations between the years of 2007 and 2016. With this preliminary experiment, we investigate the use of convolutional neural networks (CNN) for the task of crime rating through visual scene analysis and found possibilities towards automatic crime rate predictions using CNN models.作者: PAD416 時(shí)間: 2025-3-24 09:47 作者: CRATE 時(shí)間: 2025-3-24 14:38
https://doi.org/10.1007/978-94-011-5356-0show that the network is able to perform the task of relational categorization according to a threshold defined as error rate, as well as shows that the ability of the network to detect the relation between the signals depends on the minimum and maximum difference in the number of spikes in a given time window.作者: 無政府主義者 時(shí)間: 2025-3-24 18:09
Immortality and Incomprehensibility,opic models that reproduce the wave features and the lack of synaptic transmission. We also propose extensions to a popular model for the wave spread to test whether structural connectivity could aid in stopping the wave and preventing it from engulfing larger portions of the brain.作者: Bernstein-test 時(shí)間: 2025-3-24 19:43 作者: Herpetologist 時(shí)間: 2025-3-25 02:38
Computational Models for the Propagation of?Spreading Depression Wavesopic models that reproduce the wave features and the lack of synaptic transmission. We also propose extensions to a popular model for the wave spread to test whether structural connectivity could aid in stopping the wave and preventing it from engulfing larger portions of the brain.作者: adj憂郁的 時(shí)間: 2025-3-25 06:43
Towards Graffiti Classification in Weakly Labeled Images Using Convolutional Neural?Networks architecture pre-trained on the ImageNet dataset and show a novel approach to fine-tuning the network over graffiti examples extracted from Flickr. Experiments using this approach show accuracy comparable to that of ImageNet classes.作者: 壓迫 時(shí)間: 2025-3-25 10:05 作者: 龍卷風(fēng) 時(shí)間: 2025-3-25 12:44 作者: 紳士 時(shí)間: 2025-3-25 16:08
1865-0929 ected from 40 submissions. The papers are organized in topical sections: neural?networks; artificial intelligence; computer vision; machine learning; graphic systems and interfaces; decision trees; nonlinear equations; nano-electromechanical systems. .?..978-3-319-71010-5978-3-319-71011-2Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: chance 時(shí)間: 2025-3-25 23:05 作者: cogent 時(shí)間: 2025-3-26 02:14 作者: 簡潔 時(shí)間: 2025-3-26 05:13 作者: 存在主義 時(shí)間: 2025-3-26 10:55
Chaotic Synchronization of Neural Networks in FPGAy (FPGA) simulating in real-time a Natural Neural Networks (NNN). This work is motivated by research in Neurosciences involving the implantation of chips between the skull and the brain to prevent or ameliorate diseases such as Parkinson’s, Epilepsy and Depression. Our contribution is the introducti作者: galley 時(shí)間: 2025-3-26 14:15 作者: 倫理學(xué) 時(shí)間: 2025-3-26 20:22
Towards Graffiti Classification in Weakly Labeled Images Using Convolutional Neural?Networksdentifying this urban writings can be useful for understanding cities and their communities. In this paper we investigate the use of Convolutional Neural Networks aiming at classifying weakly labeled images to identify the presence or absence of graffiti art in images. We propose the use of a VGG-16作者: ADAGE 時(shí)間: 2025-3-26 23:32
Computational Models for the Propagation of?Spreading Depression Wavest is believed to occur both in compromised and healthy tissue from a broad range of animal species and every structure of the gray matter. Glutamate is long been known to be involved in the ignition of SD. Therefore, despite action potentials are not necessary for the wave propagation, one would exp作者: Graphite 時(shí)間: 2025-3-27 01:19
How Artificial Intelligence is Supporting Neuroscience Research: A Discussion About Foundations, Meties into their works. Neuroscience’s studies are characterized for recording high dimensional and complex brain data, making the data analysis computationally expensive and time consuming. Neuroscience takes advantage of AI techniques and the increasing processing power in modern computers, which he作者: outskirts 時(shí)間: 2025-3-27 05:17 作者: deciduous 時(shí)間: 2025-3-27 10:47 作者: BUST 時(shí)間: 2025-3-27 13:48
Cyberbullying Classification Using Extreme Learning Machine Applied to Portuguese Languageaffect the victim’s life for a long time or even permanently. For this reason, it is extremely important to develop tools to inhibit such practices. In this paper, a solution to the Cyberbullying classification problem using machine learning (Extreme Learning Machine) is proposed. The application of作者: 貧困 時(shí)間: 2025-3-27 18:51 作者: 責(zé)問 時(shí)間: 2025-3-28 01:08
An Adaptive User Interface Based on Psychological Test and Task-RelevanceI). It opens countless possibilities to enhance the interaction and communication between the machines and humans. Nevertheless, the human does not process the information at same way of computers (step-by-step); thus, the interfaces must be adequate to human’s capabilities and limitations. The Grap作者: follicle 時(shí)間: 2025-3-28 04:32
Decision Tree to Analyses EEG Signal: A Case Study Using Spatial Activitiesurological examinations. It has now been used in conjunction with BMI (Brain Machine Interface) Systems, which allow the communication of an individual and external equipment, such as a computer, through brain stimulation, without any muscle movement. These tools typically present data in the form o作者: MUTED 時(shí)間: 2025-3-28 07:27
Computational Neuroscience978-3-319-71011-2Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: Conscientious 時(shí)間: 2025-3-28 12:24 作者: DRILL 時(shí)間: 2025-3-28 17:23
https://doi.org/10.1007/978-94-011-5356-0m to understand the process by which the neural systems encode and process information originating from the environment. This work aims to develop a computational model that can be used to study how neural systems encode and relate information about external stimuli. To fulfill this purpose, a compu作者: goodwill 時(shí)間: 2025-3-28 19:48 作者: Legion 時(shí)間: 2025-3-28 23:08
Theoretical Issues in Superionic Conductorsive apple tree disorders. It extends previous work by providing a more extensive testing and a dataset validation by using visualization methods. We show that previous results likely overestimate general accuracy, but that the model is able to learn relevant features from the images.作者: 條街道往前推 時(shí)間: 2025-3-29 05:23
T. L. Markin,R. J. Bones,R. M. Delldentifying this urban writings can be useful for understanding cities and their communities. In this paper we investigate the use of Convolutional Neural Networks aiming at classifying weakly labeled images to identify the presence or absence of graffiti art in images. We propose the use of a VGG-16作者: harmony 時(shí)間: 2025-3-29 07:40 作者: 確定 時(shí)間: 2025-3-29 12:24 作者: 氣候 時(shí)間: 2025-3-29 17:35 作者: 收養(yǎng) 時(shí)間: 2025-3-29 22:58
Immortality and Incomprehensibility,mote environments requires the use of independent on board sensors. One advantage of these vehicles is that they have an on-board camera that allows them to collect visual information about the environment. This work shows a way to be aware of the UAV movement depending only on images. Therefore, a 作者: Emg827 時(shí)間: 2025-3-30 00:04 作者: convert 時(shí)間: 2025-3-30 07:31
Omnipotence: Moving and Staying Power,f the simplest solutions to this issue is adding samples of previous data, with the drawback of increasingly having to store training data; or generating patterns that evoke similar responses of the previous task..We propose a model using a Recurrent Neural Network-based image generator in order to 作者: sacrum 時(shí)間: 2025-3-30 10:00
Error Sources in Typical Voltage References,I). It opens countless possibilities to enhance the interaction and communication between the machines and humans. Nevertheless, the human does not process the information at same way of computers (step-by-step); thus, the interfaces must be adequate to human’s capabilities and limitations. The Grap作者: Somber 時(shí)間: 2025-3-30 14:38
Eougenious L. Ivchenko,Grigory Pikusurological examinations. It has now been used in conjunction with BMI (Brain Machine Interface) Systems, which allow the communication of an individual and external equipment, such as a computer, through brain stimulation, without any muscle movement. These tools typically present data in the form o作者: SEEK 時(shí)間: 2025-3-30 19:24
https://doi.org/10.1007/978-0-387-48077-0The following article presents the development of a BCI system using Visual Evoked Potential and a detection system based on Multiple Mean Squared Coherence method. The developed BCI was used to control a small robotic arm.
