Liraglutide Activates the Nrf2/HO-1 Antioxidant Pathway and Protects Brain Nerve Cells against Cerebral Ischemia in Diabetic Rats.

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：:Reservoirs are important for households and impact the national economy. This paper proposed a time-series forecasting model based on estimating a missing value followed by variable selection to forecast the reservoir's water level. This study collected data from the Taiwan Shimen Reservoir as well as daily atmospheri...

journal_title：Computational intelligence and neuroscience

authors： Yang JH,Cheng CH,Chan CP

更新日期：2017-01-01 00:00:00

abstract：:Characterization of air traffic controllers' (ATCs') visual scanning strategies is a challenging issue due to the dynamic movement of multiple aircraft and increasing complexity of scanpaths (order of eye fixations and saccades) over time. Additionally, terminologies and methods are lacking to accurately characterize ...

journal_title：Computational intelligence and neuroscience

authors： McClung SN,Kang Z

更新日期：2016-01-01 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：: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：:The paper addresses the context in which the construction industry is considered risky, as the intense labor and machine environment interacts with acceleration and overlapping activities. This situation results in accidents and fatalities. A high number of accidents and fatalities leads to additional costs and delays...

journal_title：Computational intelligence and neuroscience

authors： Gunduz M,Khader BK

更新日期：2020-02-25 00:00:00

abstract：:The high frequency of red-light running and complex driving behaviors at the yellow onset at intersections cannot be explained solely by the dilemma zone and vehicle kinematics. In this paper, the author presented a red-light running prevention system which was based on artificial neural networks (ANNs) to approximate...

journal_title：Computational intelligence and neuroscience

authors： Li P,Li Y,Guo X

更新日期：2014-01-01 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

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 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：: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：:Human intrinsic motivation is of great importance in human behavior. However, although researchers have focused on this topic for decades, its neural basis was still unclear. The current study employed event-related potentials to investigate the neural disparity between an interesting stop-watch (SW) task and a boring...

journal_title：Computational intelligence and neuroscience

authors： Jin J,Yu L,Ma Q

更新日期：2015-01-01 00:00:00

abstract：:Recent theoretical and technological advances in neuroimaging techniques now allow brain electrical activity to be recorded using affordable and user-friendly equipment for nonscientist end-users. An increasing number of educators and artists have begun using electroencephalogram (EEG) to control multimedia and live a...

journal_title：Computational intelligence and neuroscience

authors： Grandchamp R,Delorme A

更新日期：2016-01-01 00:00:00

abstract：:We describe a set of complementary EEG data collection and processing tools recently developed at the Swartz Center for Computational Neuroscience (SCCN) that connect to and extend the EEGLAB software environment, a freely available and readily extensible processing environment running under Matlab. The new tools incl...

journal_title：Computational intelligence and neuroscience

authors： Delorme A,Mullen T,Kothe C,Akalin Acar Z,Bigdely-Shamlo N,Vankov A,Makeig S

更新日期：2011-01-01 00:00:00

abstract：:A gaze estimation system is one of the communication methods for severely disabled people who cannot perform gestures and speech. We previously developed an eye tracking method using a compact and light electrooculogram (EOG) signal, but its accuracy is not very high. In the present study, we conducted experiments to ...

journal_title：Computational intelligence and neuroscience

authors： Sakurai K,Yan M,Tanno K,Tamura H

更新日期：2017-01-01 00:00:00

abstract：:Manual annotation of sentiment lexicons costs too much labor and time, and it is also difficult to get accurate quantification of emotional intensity. Besides, the excessive emphasis on one specific field has greatly limited the applicability of domain sentiment lexicons (Wang et al., 2010). This paper implements stat...

journal_title：Computational intelligence and neuroscience

authors： Yang X,Zhang Z,Zhang Z,Mo Y,Li L,Yu L,Zhu P

更新日期：2016-01-01 00:00:00

abstract：:The use of intelligent judgment technology to assist in judgment is an inevitable trend in the development of judgment in contemporary social legal cases. Using big data and artificial intelligence technology to accurately determine multiple accusations involved in legal cases is an urgent problem to be solved in lega...

journal_title：Computational intelligence and neuroscience

authors： Guo X,Zhang H,Ye L,Li S

更新日期：2019-07-07 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：: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：: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：: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 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：: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：:The emergent consensus on dimensional models of sentiment, appraisal, emotions, and values is on the semantics of the principal dimensions, typically interpreted as valence, arousal, and dominance. The notion of weak semantic maps was introduced recently as distribution of representations in abstract spaces that are n...

journal_title：Computational intelligence and neuroscience

authors： Samsonovich AV,Ascoli GA

更新日期：2013-01-01 00:00:00

abstract：:Software effort estimation plays a critical role in project management. Erroneous results may lead to overestimating or underestimating effort, which can have catastrophic consequences on project resources. Machine-learning techniques are increasingly popular in the field. Fuzzy logic models, in particular, are widely...

journal_title：Computational intelligence and neuroscience

authors： Nassif AB,Azzeh M,Idri A,Abran A

更新日期：2019-02-20 00:00:00

abstract：:Brain atrophy in mild cognitive impairment (MCI) and Alzheimer's disease (AD) are difficult to demarcate to assess the progression of AD. This study presents a statistical framework on the basis of MRI volumes and neuropsychological scores. A feature selection technique using backward stepwise linear regression togeth...

journal_title：Computational intelligence and neuroscience

authors： Goryawala M,Zhou Q,Barker W,Loewenstein DA,Duara R,Adjouadi M

更新日期：2015-01-01 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：:We propose a novel efficient algorithm for computing visual saliency, which is based on the computation architecture of Itti model. As one of well-known bottom-up visual saliency models, Itti method evaluates three low-level features, color, intensity, and orientation, and then generates multiscale activation maps. Fi...

journal_title：Computational intelligence and neuroscience

authors： He Z,Chen X,Sun L

更新日期：2015-01-01 00:00:00

abstract：:Cat Swarm Optimization (CSO) algorithm was put forward in 2006. Despite a faster convergence speed compared with Particle Swarm Optimization (PSO) algorithm, the application of CSO is greatly limited by the drawback of "premature convergence," that is, the possibility of trapping in local optimum when dealing with non...

journal_title：Computational intelligence and neuroscience

authors： Nie X,Wang W,Nie H

更新日期：2017-01-01 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