Reducing the Schizophrenia Stigma: A New Approach Based on Augmented Reality.

abstract：:We present a multistage fuzzy rule-based algorithm for epileptic seizure onset detection. Amplitude, frequency, and entropy-based features were extracted from intracranial electroencephalogram (iEEG) recordings and considered as the inputs for a fuzzy system. These features extracted from multichannel iEEG signals wer...

journal_title：Computational intelligence and neuroscience

authors： Rabbi AF,Fazel-Rezai R

更新日期：2012-01-01 00:00:00

abstract：:Recent technological advances have enabled researchers to collect large amounts of electroencephalography (EEG) signals in labeled and unlabeled datasets. It is expensive and time consuming to collect labeled EEG data for use in brain-computer interface (BCI) systems, however. In this paper, a novel active learning me...

journal_title：Computational intelligence and neuroscience

authors： She Q,Chen K,Luo Z,Nguyen T,Potter T,Zhang Y

更新日期：2020-03-10 00:00:00

abstract：:Every energy system which we consider is an entity by itself, defined by parameters which are interrelated according to some physical laws. In recent year tremendous importance is given in research on site selection in an imprecise environment. In this context, decision making for the suitable location of power plant ...

journal_title：Computational intelligence and neuroscience

authors： Shimray BA,Singh KM,Khelchandra T,Mehta RK

更新日期：2017-01-01 00:00:00

abstract：:This study introduces a supercapacitor hybrid energy storage system in a wind-solar hybrid power generation system, which can remarkably increase the energy storage capacity and output power of the system. In the specific solution, this study combines the distributed power generation system and the hybrid energy stora...

journal_title：Computational intelligence and neuroscience

authors： Zhu R,Zhao AL,Wang GC,Xia X,Yang Y

更新日期：2020-08-28 00:00:00

abstract：:The neural autoregressive distribution estimator(NADE) is a competitive model for the task of density estimation in the field of machine learning. While NADE mainly focuses on the problem of estimating density, the ability for dealing with other tasks remains to be improved. In this paper, we introduce a simple and ef...

journal_title：Computational intelligence and neuroscience

authors： Wang Z,Wu Q

更新日期：2018-12-23 00:00:00

abstract：:Lithium-ion batteries are widely used in many electronic systems. Therefore, it is significantly important to estimate the lithium-ion battery's remaining useful life (RUL), yet very difficult. One important reason is that the measured battery capacity data are often subject to the different levels of noise pollution....

journal_title：Computational intelligence and neuroscience

authors： Zhang C,He Y,Yuan L,Xiang S,Wang J

更新日期：2015-01-01 00:00:00

abstract：:Simulated annealing (SA) algorithm is a popular intelligent optimization algorithm which has been successfully applied in many fields. Parameters' setting is a key factor for its performance, but it is also a tedious work. To simplify parameters setting, we present a list-based simulated annealing (LBSA) algorithm to ...

journal_title：Computational intelligence and neuroscience

authors： Zhan SH,Lin J,Zhang ZJ,Zhong YW

更新日期：2016-01-01 00:00:00

abstract：:The rapid development of the automotive industry has brought great convenience to our life, which also leads to a dramatic increase in the amount of traffic accidents. A large proportion of traffic accidents were caused by driving fatigue. EEG is considered as a direct, effective, and promising modality to detect driv...

journal_title：Computational intelligence and neuroscience

authors： Ma Y,Chen B,Li R,Wang C,Wang J,She Q,Luo Z,Zhang Y

更新日期：2019-07-14 00:00:00

abstract：:This paper proposed a shot boundary detection approach using Genetic Algorithm and Fuzzy Logic. In this, the membership functions of the fuzzy system are calculated using Genetic Algorithm by taking preobserved actual values for shot boundaries. The classification of the types of shot transitions is done by the fuzzy ...

journal_title：Computational intelligence and neuroscience

authors： Thounaojam DM,Khelchandra T,Manglem Singh Kh,Roy S

更新日期：2016-01-01 00:00:00

abstract：:Rehabilitation training is essential for motor dysfunction patients, and the training through their subjective motion intention, comparing to passive training, is more conducive to rehabilitation. This study proposes a method to identify motion intention of different walking states under the normal environment, by usi...

journal_title：Computational intelligence and neuroscience

authors： Jin H,Li C,Xu J

更新日期：2018-10-17 00:00:00

abstract：:The brain-computer interface (BCI) plays an important role in assisting patients with amyotrophic lateral sclerosis (ALS) to enable them to participate in communication and entertainment. In this study, a novel channel projection-based canonical correlation analysis (CP-CCA) target identification method for steady-sta...

journal_title：Computational intelligence and neuroscience

authors： Gao Q,Zhang Y,Wang Z,Dong E,Song X,Song Y

更新日期：2019-12-16 00:00:00

abstract：:This paper proposes a method to translate human EEG into music, so as to represent mental state by music. The arousal levels of the brain mental state and music emotion are implicitly used as the bridge between the mind world and the music. The arousal level of the brain is based on the EEG features extracted mainly b...

journal_title：Computational intelligence and neuroscience

authors： Wu D,Li C,Yin Y,Zhou C,Yao D

更新日期：2010-01-01 00:00:00

abstract：:Feature selection plays an important role in machine learning and data mining. In recent years, various feature measurements have been proposed to select significant features from high-dimensional datasets. However, most traditional feature selection methods will ignore some features which have strong classification a...

journal_title：Computational intelligence and neuroscience

authors： Zeng K,She K,Niu X

更新日期：2014-01-01 00:00:00

abstract：:In view of the evaluation and decision-making problem of human-machine interface layout design for cabin, the operating comfort prediction model is proposed based on GEP (Gene Expression Programming), using operating comfort to evaluate layout scheme. Through joint angles to describe operating posture of upper limb, t...

journal_title：Computational intelligence and neuroscience

authors： Deng L,Wang G,Chen B

更新日期：2015-01-01 00:00:00

abstract：:Low power hub motors are widely used in electromechanical systems such as electrical bicycles and solar vehicles due to their robustness and compact structure. Such systems driven by hub motors (in wheel motors) encounter previously defined and undefined faults under operation. It may inevitably lead to the interrupti...

journal_title：Computational intelligence and neuroscience

authors： Şimşir M,Bayır R,Uyaroğlu Y

更新日期：2016-01-01 00:00:00

abstract：:Nowadays the neuroscientific community is taking more and more advantage of the continuous interaction between engineers and computational neuroscientists in order to develop neuroprostheses aimed at replacing damaged brain areas with artificial devices. To this end, a technological effort is required to develop neura...

journal_title：Computational intelligence and neuroscience

authors： Breschi GL,Ciliberto C,Nieus T,Rosasco L,Taverna S,Chiappalone M,Pasquale V

更新日期：2015-01-01 00:00:00

abstract：:The design and application of Serious Games (SG) based on the Leap Motion sensor are presented as a tool to support the rehabilitation therapies for upper limbs. Initially, the design principles and their implementation are described, focusing on improving both unilateral and bilateral manual dexterity and coordinatio...

journal_title：Computational intelligence and neuroscience

authors： Oña ED,Balaguer C,Cano-de la Cuerda R,Collado-Vázquez S,Jardón A

更新日期：2018-04-11 00:00:00

abstract：:This paper presents the use of linear and nonlinear multivariable models as tools to support training process of race walkers. These models are calculated using data collected from race walkers' training events and they are used to predict the result over a 3 km race based on training loads. The material consists of 1...

journal_title：Computational intelligence and neuroscience

authors： Wiktorowicz K,Przednowek K,Lassota L,Krzeszowski T

更新日期：2015-01-01 00:00:00

abstract：:The modification by polymers and nanomaterials can significantly improve different properties of asphalt. However, during the service life, the oxidation affects the constituents of modified asphalt and subsequently results in deviation from the desired properties. One of the important properties affected due to oxida...

journal_title：Computational intelligence and neuroscience

authors： Arifuzzaman M,Gazder U,Alam MS,Sirin O,Mamun AA

更新日期：2019-08-15 00:00:00

abstract：:Detection of lane-change behaviour is critical to driving safety, especially on highways. In this paper, we proposed a method and designed a learning-based detection model of lane-change behaviour in highway environment, which only needs the vehicle to be equipped with velocity and direction sensors or each section of...

journal_title：Computational intelligence and neuroscience

authors： Du L,Chen W,Pei Z,Zheng H,Fu S,Chen K,Wu D

更新日期：2020-09-30 00:00:00

abstract：:It is well known that the evaluation of a product from the shelf considers the simultaneous cerebral and emotional evaluation of the different qualities of the product such as its colour, the eventual images shown, and the envelope's texture (hereafter all included in the term "product experience"). However, the measu...

journal_title：Computational intelligence and neuroscience

authors： Modica E,Cartocci G,Rossi D,Martinez Levy AC,Cherubino P,Maglione AG,Di Flumeri G,Mancini M,Montanari M,Perrotta D,Di Feo P,Vozzi A,Ronca V,Aricò P,Babiloni F

更新日期：2018-09-24 00:00:00

abstract：:We performed simultaneous acquisition of EEG-fMRI in seven patients with Unverricht-Lundborg disease (ULD) and in six healthy controls using self-paced finger extension as a motor task. The event-related desynchronization/synchronization (ERD/ERS) analysis showed a greater and more diffuse alpha desynchronization in c...

journal_title：Computational intelligence and neuroscience

authors： Visani E,Minati L,Canafoglia L,Gilioli I,Salvatoni L,Varotto G,Fazio P,Aquino D,Bruzzone MG,Franceschetti S,Panzica F

更新日期：2010-01-01 00:00:00

abstract：:Eye localization is a fundamental process in many facial analyses. In practical use, it is often challenged by illumination, head pose, facial expression, occlusion, and other factors. It remains great difficulty to achieve high accuracy with short prediction time and low training cost at the same time. This paper pre...

journal_title：Computational intelligence and neuroscience

authors： Li X,Dou Y,Niu X,Xu J,Xiao R

更新日期：2015-01-01 00:00:00

abstract：:This article is devoted to statistical modeling and analysis of electrocorticogram (ECoG) signals induced by painful cutaneous laser stimuli, which were recorded from implanted electrodes in awake humans. Specifically, with statistical tools of factor analysis and independent component analysis, the pain-induced laser...

journal_title：Computational intelligence and neuroscience

authors： Chen Z,Ohara S,Cao J,Vialatte F,Lenz FA,Cichocki A

更新日期：2007-01-01 00:00:00

abstract：:As one of the most important urban commuter transportation modes, urban rail transit (URT) has been acting as a key solution for supporting mobility needs in high-density urban areas. However, in recent years, high frequency of unexpected events has caused serious service disruptions in URT system, greatly harming pas...

journal_title：Computational intelligence and neuroscience

authors： Wang Y,Yan X,Zhou Y,Wang J,Chen S

更新日期：2014-01-01 00:00:00

abstract：:The use of wearable devices to study gait and postural control is a growing field on neurodegenerative disorders such as Alzheimer's disease (AD). In this paper, we investigate if machine-learning classifiers offer the discriminative power for the diagnosis of AD based on postural control kinematics. We compared Suppo...

journal_title：Computational intelligence and neuroscience

authors： Costa L,Gago MF,Yelshyna D,Ferreira J,David Silva H,Rocha L,Sousa N,Bicho E

更新日期：2016-01-01 00:00:00

abstract：:Multi-AUV cooperative target search problem in unknown 3D underwater environment is not only a research hot spot but also a challenging task. To complete this task, each autonomous underwater vehicle (AUV) needs to move quickly without collision and cooperate with other AUVs to find the target. In this paper, an impro...

journal_title：Computational intelligence and neuroscience

authors： Ni J,Yang L,Shi P,Luo C

更新日期：2018-12-02 00:00:00

abstract：:Energy consumption forecasting (ECF) is an important policy issue in today's economies. An accurate ECF has great benefits for electric utilities and both negative and positive errors lead to increased operating costs. The paper proposes a semantic based genetic programming framework to address the ECF problem. In par...

journal_title：Computational intelligence and neuroscience

authors： Castelli M,Trujillo L,Vanneschi L

更新日期：2015-01-01 00:00:00

abstract：:To study the relationship between brain network and shooting performance during shooting aiming, we collected electroencephalogram (EEG) signals from 40 skilled shooters during rifle shooting and calculated the EEG functional coupling, functional brain network topology, and correlation coefficients between these EEG c...

journal_title：Computational intelligence and neuroscience

authors： Gong A,Liu J,Jiang C,Fu Y

更新日期：2018-11-11 00:00:00

abstract：:Ways to estimate the time-to-collision are explored. In the context of traffic simulation models, classical lane-based notions of vehicle location are relaxed and new, fast, and efficient algorithms are examined. With trajectory conflicts being the main focus, computational procedures are explored which use a two-dime...

journal_title：Computational intelligence and neuroscience

authors： Hou J,List GF,Guo X

更新日期：2014-01-01 00:00:00