Driving Fatigue Detection from EEG Using a Modified PCANet Method.

abstract：:Schizophrenia is a chronic mental disease that usually manifests psychotic symptoms and affects an individual's functionality. The stigma related to this disease is a serious obstacle for an adequate approach to its treatment. Stigma can, for example, delay the start of treatment, and it creates difficulties in interp...

journal_title：Computational intelligence and neuroscience

authors： Silva RDC,Albuquerque SGC,Muniz AV,Filho PPR,Ribeiro S,Pinheiro PR,Albuquerque VHC

更新日期：2017-01-01 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：:Equipment parallel simulation is an emerging simulation technology in recent years, and equipment remaining useful life (RUL) prediction oriented parallel simulation is an important branch of parallel simulation. An important concept in equipment parallel simulation is the model evolution driven by real-time data, inc...

journal_title：Computational intelligence and neuroscience

authors： Ge C,Zhu Y,Di Y

更新日期：2019-03-12 00:00:00

abstract：:This paper brings forth a learning-based visual saliency model method for detecting diagnostic diabetic macular edema (DME) regions of interest (RoIs) in retinal image. The method introduces the cognitive process of visual selection of relevant regions that arises during an ophthalmologist's image examination. To reco...

journal_title：Computational intelligence and neuroscience

authors： Zou X,Zhao X,Yang Y,Li N

更新日期：2016-01-01 00:00:00

abstract：:We propose to couple the R2 performance measure and Particle Swarm Optimization in order to handle multi/many-objective problems. Our proposal shows that through a well-designed interaction process we could maintain the metaheuristic almost inalterable and through the R2 performance measure we did not use neither an e...

journal_title：Computational intelligence and neuroscience

authors： Díaz-Manríquez A,Toscano G,Barron-Zambrano JH,Tello-Leal E

更新日期：2016-01-01 00:00:00

abstract：:Estimating single-trial evoked potentials (EPs) corrupted by the spontaneous electroencephalogram (EEG) can be regarded as signal denoising problem. Sparse coding has significant success in signal denoising and EPs have been proven to have strong sparsity over an appropriate dictionary. In sparse coding, the noise gen...

journal_title：Computational intelligence and neuroscience

authors： Yu N,Chen Y,Wu L,Lu H

更新日期：2018-03-22 00:00:00

abstract：:Motor imagery electroencephalography is widely used in the brain-computer interface systems. Due to inherent characteristics of electroencephalography signals, accurate and real-time multiclass classification is always challenging. In order to solve this problem, a multiclass posterior probability solution for twin SV...

journal_title：Computational intelligence and neuroscience

authors： She Q,Ma Y,Meng M,Luo Z

更新日期：2015-01-01 00:00:00

abstract：:When some attributes of a formal context can be decomposed into some subattributes a model of layered concept lattice to improve the efficiency of building concept lattice with complex structure attribute data is studied, the relationship between concept lattice and layered concept is discussed. Two algorithms are pro...

journal_title：Computational intelligence and neuroscience

authors： Wu X,Zhang J,Zhong J

更新日期：2020-06-11 00:00:00

abstract：:In the conceptual design stage, inspirational sources play an important role in designers' creative thinking. This paper proposes a retrieval method for semantic-based inspirational sources, which helps designers obtain inspirational images in the conceptual design stage of emotional design. The core principle involve...

journal_title：Computational intelligence and neuroscience

authors： Du J,Li Y,Ma J,Xiong Y,Li W

更新日期：2018-11-08 00:00:00

abstract：:Sensemaking is the active process of constructing a meaningful representation (i.e., making sense) of some complex aspect of the world. In relation to intelligence analysis, sensemaking is the act of finding and interpreting relevant facts amongst the sea of incoming reports, images, and intelligence. We present a cog...

journal_title：Computational intelligence and neuroscience

authors： Lebiere C,Pirolli P,Thomson R,Paik J,Rutledge-Taylor M,Staszewski J,Anderson JR

更新日期：2013-01-01 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 integration of machine learning techniques and metaheuristic algorithms is an area of interest due to the great potential for applications. In particular, using these hybrid techniques to solve combinatorial optimization problems (COPs) to improve the quality of the solutions and convergence times is of great inte...

journal_title：Computational intelligence and neuroscience

authors： García J,Moraga P,Valenzuela M,Crawford B,Soto R,Pinto H,Peña A,Altimiras F,Astorga G

更新日期：2019-09-16 00:00:00

abstract：:Ant Colony Optimization (ACO) has been successfully applied to solve a wide range of combinatorial optimization problems such as minimum spanning tree, traveling salesman problem, and quadratic assignment problem. Basic ACO has drawbacks of trapping into local minimum and low convergence rate. Simulated annealing (SA)...

journal_title：Computational intelligence and neuroscience

authors： Mohsen AM

更新日期：2016-01-01 00:00:00

abstract：:One important objective of urban traffic signal control is to reduce individual delay and improve safety for travelers in both private car and public bus transit. To achieve signal control optimization from the perspective of all users, this paper proposes a platoon-based adaptive signal control (PASC) strategy to pro...

journal_title：Computational intelligence and neuroscience

authors： Li N,Chen S,Zhu J,Sun DJ

更新日期：2020-06-01 00:00:00

abstract：:Transportation is an important link in the mining process, and large trucks are one of the important tools for mine transportation. Due to their large size and small driving position, large trucks have a blind spot, which is a hidden danger to the safe transportation of mines and has a great impact on production effic...

journal_title：Computational intelligence and neuroscience

authors： Xiao D,Li H,Liu C,He Q

更新日期：2019-10-13 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

abstract：:This study proposes a home care system (HCS) based on a brain-computer interface (BCI) with a smartphone. The HCS provides daily help to motor-disabled people when a caregiver is not present. The aim of the study is two-fold: (1) to develop a BCI-based home care system to help end-users control their household applian...

journal_title：Computational intelligence and neuroscience

authors： Sun KT,Hsieh KL,Syu SR

更新日期：2020-08-28 00:00:00

abstract：:In today's society, image resources are everywhere, and the number of available images can be overwhelming. Determining how to rapidly and effectively query, retrieve, and organize image information has become a popular research topic, and automatic image annotation is the key to text-based image retrieval. If the sem...

journal_title：Computational intelligence and neuroscience

authors： Cao J,Wu C,Chen L,Cui H,Feng G

更新日期：2019-07-04 00:00:00

abstract：:Under the competitive market environment, the game between manufacturers comes down to the competitive multiattribute group decision-making problem. In this study, the evaluation information of experts is given in the form of 2-dimension 2-tuple linguistic variables, and an approach is proposed for the competitive mul...

journal_title：Computational intelligence and neuroscience

authors： Zhang Q,Jiang K,Yan M,Ma J

更新日期：2019-11-11 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：:An effective hybrid cuckoo search algorithm (CS) with improved shuffled frog-leaping algorithm (ISFLA) is put forward for solving 0-1 knapsack problem. First of all, with the framework of SFLA, an improved frog-leap operator is designed with the effect of the global optimal information on the frog leaping and informat...

journal_title：Computational intelligence and neuroscience

authors： Feng Y,Wang GG,Feng Q,Zhao XJ

更新日期：2014-01-01 00:00:00

abstract：:Though Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) via Convolutional Neural Networks (CNNs) has made huge progress toward deep learning, some key issues still remain unsolved due to the lack of sufficient samples and robust model. In this paper, we proposed an efficient transferred Max-Slice CNN ...

journal_title：Computational intelligence and neuroscience

authors： Zhai Y,Deng W,Xu Y,Ke Q,Gan J,Sun B,Zeng J,Piuri V

更新日期：2019-11-15 00:00:00

abstract：:In recent years the spatial resolutions of remote sensing images have been improved greatly. However, a higher spatial resolution image does not always lead to a better result of automatic scene classification. Visual attention is an important characteristic of the human visual system, which can effectively help to cl...

journal_title：Computational intelligence and neuroscience

authors： Li L,Xu T,Chen Y

更新日期：2017-01-01 00:00:00

abstract：:This paper proposes an artificial immune network based on cloud model (AINet-CM) for complex function optimization problems. Three key immune operators-cloning, mutation, and suppression-are redesigned with the help of the cloud model. To be specific, an increasing half cloud-based cloning operator is used to adjust t...

journal_title：Computational intelligence and neuroscience

authors： Wang M,Feng S,Li J,Li Z,Xue Y,Guo D

更新日期：2017-01-01 00:00:00

abstract：:Ensemble clustering can improve the generalization ability of a single clustering algorithm and generate a more robust clustering result by integrating multiple base clusterings, so it becomes the focus of current clustering research. Ensemble clustering aims at finding a consensus partition which agrees as much as po...

journal_title：Computational intelligence and neuroscience

authors： Wang Y,Liu X,Xiang L

更新日期：2017-01-01 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：:We present an ambulatory cognitive state classification system to assess the subject's mental load based on EEG measurements. The ambulatory cognitive state estimator is utilized in the context of a real-time augmented cognition (AugCog) system that aims to enhance the cognitive performance of a human user through com...

journal_title：Computational intelligence and neuroscience

authors： Lan T,Erdogmus D,Adami A,Mathan S,Pavel M

更新日期：2007-01-01 00:00:00

abstract：:In recent years, ensemble classification methods have been widely investigated in both industry and literature in the field of machine learning and artificial intelligence. The main advantage of this approach is to benefit from a set of classifiers instead of using a single classifier with the aim of improving the pre...

journal_title：Computational intelligence and neuroscience

authors： Ostvar N,Eftekhari Moghadam AM

更新日期：2020-12-14 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：:Rotation Forest is an ensemble learning approach achieving better performance comparing to Bagging and Boosting through building accurate and diverse classifiers using rotated feature space. However, like other conventional classifiers, Rotation Forest does not work well on the imbalanced data which are characterized ...

journal_title：Computational intelligence and neuroscience

authors： Guo H,Diao X,Liu H

更新日期：2018-11-01 00:00:00