Clustering is the main technique for data analysis and it deals with the organisation of a set of objects in a multidimensional space into cohesive groups called clusters. Every cluster contains closely related objects and has very dissimilar objects in other clusters. Cluster analysis aims at discovering the objects with same behaviour in a collection. Thus, if an object satisfies a rule, the ...

Brain networks characterize the temporal and/or spectral connections between brain regions and are inherently represented by multi-way arrays (tensors). In order to discover the underlying factors driving such connections, we need to derive compact representations from brain network data. Such representations should be discriminative so as to facilitate the identification of subjects performing...

At the intersection between symbolic inference and connectionism, there is interest in producing systems constructed from connectionist components which perform types of inference comparable to symbolic systems. The attraction of such systems is that, under restricted conditions, they may be capable of very fast, \reactive" responses to external stimuli. A major open question in this eld is the...

The focus of this work is on the design of ontologies to support the exchange and sharing of information among applications dealing with moving objects. This application area ranges from fleet management systems to the monitoring of the users of mobile phones to provide location-based services. The use of ontologies for interoperability purposes has been long-praised; here, we focus on the comp...

The vision of the Smart Grid includes demand-side peak shaving strategies, such as real-time pricing or profile’s based tariffs, to encourage consumption such that the peaks on demand are flattened. Up to date, most works along this line focused on optimising via scheduling of home appliances or micro-storage the individual user consumption. Alternatively, in this demonstration we propose to ex...

This research was done aimed to investigation the effective factors on production skills of tobacco growers in Mazandaran province. This is an applied study based on descriptive-correlation method. Statistical population of this research consisted of 1500 tobacco growers  of Mazandaran province, and 306 people were selected based on Morgan table. Content validity of the questionnaire was determ...

variable rate spray applications using proportional control systems can greatly reduce pesticide use and off-target contamination of environment in orchards. variable rate spraying of the canopy allows growers to apply pesticides only to the target, only use the correct quantity according to canopy size, season and growth stage and to apply plant protection products in an economic and environme...

This research was done aimed to investigation the effective factors on production skills of tobacco growers in Mazandaran province. This is an applied study based on descriptive-correlation method. Statistical population of this research consisted of 1500 tobacco growers  of Mazandaran province, and 306 people were selected based on Morgan table. Content validity of the questionnaire was determ...