Modelling of Asphalt's Adhesive Behaviour Using Classification and Regression Tree (CART) Analysis.

abstract：:Critical gap is an important parameter used to calculate the capacity and delay of minor road in gap acceptance theory of unsignalized intersections. At an unsignalized intersection with two one-way traffic flows, it is assumed that two events are independent between vehicles' arrival of major stream and vehicles' arr...

journal_title：Computational intelligence and neuroscience

authors： Guo RJ,Wang XJ,Wang WX

更新日期：2014-01-01 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：: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：: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：: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：:We report on tests with a mind typing paradigm based on a P300 brain-computer interface (BCI) on a group of amyotrophic lateral sclerosis (ALS), middle cerebral artery (MCA) stroke, and subarachnoid hemorrhage (SAH) patients, suffering from motor and speech disabilities. We investigate the achieved typing accuracy giv...

journal_title：Computational intelligence and neuroscience

authors： Manyakov NV,Chumerin N,Combaz A,Van Hulle MM

更新日期：2011-01-01 00:00:00

abstract：:Diabetic retinopathy (DR) is an eye disease that damages the blood vessels of the eye. DR causes blurred vision or it may lead to blindness if it is not detected in early stages. DR has five stages, i.e., 0 normal, 1 mild, 2 moderate, 3 severe, and 4 PDR. Conventionally, many hand-on projects of computer vision have b...

journal_title：Computational intelligence and neuroscience

authors： Jinfeng G,Qummar S,Junming Z,Ruxian Y,Khan FG

更新日期：2020-12-09 00:00:00

abstract：:Most EEG phase synchrony measures are of bivariate nature. Those that are multivariate focus on producing global indices of the synchronization state of the system. Thus, better descriptions of spatial and temporal local interactions are still in demand. A framework for characterization of phase synchrony relationship...

journal_title：Computational intelligence and neuroscience

authors： Porta-Garcia MA,Valdes-Cristerna R,Yanez-Suarez O

更新日期：2018-03-21 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：:We present a framework for inferring functional brain state from electrophysiological (MEG or EEG) brain signals. Our approach is adapted to the needs of functional brain imaging rather than EEG-based brain-computer interface (BCI). This choice leads to a different set of requirements, in particular to the demand for ...

journal_title：Computational intelligence and neuroscience

authors： Zhdanov A,Hendler T,Ungerleider L,Intrator N

更新日期：2007-01-01 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：:High-dimensional large sample data sets, between feature variables and between samples, may cause some correlative or repetitive factors, occupy lots of storage space, and consume much computing time. Using the Elman neural network to deal with them, too many inputs will influence the operating efficiency and recognit...

journal_title：Computational intelligence and neuroscience

authors： Jia W,Zhao D,Shen T,Tang Y,Zhao Y

更新日期：2014-01-01 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：:Long and tedious calibration time hinders the development of motor imagery- (MI-) based brain-computer interface (BCI). To tackle this problem, we use a limited labelled set and a relatively large unlabelled set from the same subject for training based on the transductive support vector machine (TSVM) framework. We fi...

journal_title：Computational intelligence and neuroscience

authors： Xu Y,Hua J,Zhang H,Hu R,Huang X,Liu J,Guo F

更新日期：2019-11-25 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：: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：:Since real-world data sets usually contain large instances, it is meaningful to develop efficient and effective multiple instance learning (MIL) algorithm. As a learning paradigm, MIL is different from traditional supervised learning that handles the classification of bags comprising unlabeled instances. In this paper...

journal_title：Computational intelligence and neuroscience

authors： Wang J,Cai L,Peng J,Jia Y

更新日期：2015-01-01 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：: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：: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：: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：: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：:Increasing population age demands more services in healthcare domain. It has been shown that mobile robots could be a potential solution to home biomonitoring for the elderly. Through our previous studies, a mobile robot system that is able to track a subject and identify his daily living activities has been developed...

journal_title：Computational intelligence and neuroscience

authors： Dorronzoro Zubiete E,Nakahata K,Imamoglu N,Sekine M,Sun G,Gomez I,Yu W

更新日期：2016-01-01 00:00:00

abstract：:Stress is categorized as a condition of mental strain or pressure approaches because of upsetting or requesting conditions. There are various sources of stress initiation. Researchers consider human cerebrum as the primary wellspring of stress. To study how each individual encounters stress in different forms, researc...

journal_title：Computational intelligence and neuroscience

authors： Gupta R,Alam MA,Agarwal P

更新日期：2020-08-01 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：:We propose a technique based on independent component analysis (ICA) with constraints, applied to the rhythmic electroencephalographic (EEG) data recorded from a brain-computer interfacing (BCI) system. ICA is a technique that can decompose the recorded EEG into its underlying independent components and in BCI involvi...

journal_title：Computational intelligence and neuroscience

authors： Wang S,James CJ

更新日期：2007-01-01 00:00:00

abstract：:In specific regions of the central nervous system (CNS), gap junctions have been shown to participate in neuronal synchrony. Amongst the CNS regions identified, some populations of brainstem motoneurons are known to be coupled by gap junctions. The application of various gap junction blockers to these motoneuron popul...

journal_title：Computational intelligence and neuroscience

authors： Memelli H,Horn KG,Wittie LD,Solomon IC

更新日期：2012-01-01 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：:A novel ensemble scheme for extreme learning machine (ELM), named Stochastic Gradient Boosting-based Extreme Learning Machine (SGB-ELM), is proposed in this paper. Instead of incorporating the stochastic gradient boosting method into ELM ensemble procedure primitively, SGB-ELM constructs a sequence of weak ELMs where ...

journal_title：Computational intelligence and neuroscience

authors： Guo H,Wang J,Ao W,He Y

更新日期：2018-06-26 00:00:00

abstract：:[This corrects the article DOI: 10.1155/2019/9898251.]. ...

journal_title：Computational intelligence and neuroscience

authors： Hou Y,Ma X,Mei G,Wang N,Xu W

更新日期：2019-09-23 00:00:00