Reasoning with Time Intervals: A Logical and Computational Perspective
The role of time in artificial intelligence is extremely important. Interval-based temporal reasoning can be seen as a generalization of the classical point-based one, and the first results in this...
View ArticleSOM-Based Approach for the Analysis and Classification of Synchronous...
The interest in wideband data transmission over power line communications has increased rapidly. This technology offers a convenient and inexpensive medium to transmit data, reducing the number of...
View ArticleModel-Free, Occlusion Accommodating Active Contour Tracking
This study investigates tracking in monocular image sequences by a model-free, occlusion accommodating active contour method. The objective functional contains a model-free shape tracking term to...
View ArticleBag-of-Words Representation in Image Annotation: A Review
Content-based image retrieval (CBIR) systems require users to query images by their low-level visual content; this not only makes it hard for users to formulate queries, but also can lead to...
View ArticleGamma-Poisson Distribution Model for Text Categorization
We introduce a new model for describing word frequency distributions in documents for automatic text classification tasks. In the model, the gamma-Poisson probability distribution is used to achieve...
View ArticlePSO-Based PID Controller Design for a Class of Stable and Unstable Systems
Nonlinear processes are very common in process industries, and designing a stabilizing controller is always preferred to maximize the production rate. In this paper, tuning of PID controller for a...
View ArticleHealth Monitoring for Elderly: An Application Using Case-Based Reasoning and...
This paper presents a framework to process and analyze data from a pulse oximeter which remotely measures pulse rate and blood oxygen saturation from a set of individuals. Using case-based reasoning...
View ArticleYield Prediction for Tomato Greenhouse Using EFuNN
In the area of greenhouse operation, yield prediction still relies heavily on human expertise. This paper proposes an automatic tomato yield predictor to assist the human operators in anticipating more...
View ArticleBelief Revision in the GOAL Agent Programming Language
Agents in a multiagent system may in many cases find themselves in situations where inconsistencies arise. In order to properly deal with these, a good belief revision procedure is required. This paper...
View ArticleProbabilistic Multiagent Reasoning over Annotated Amalgamated F-Logic Ontologies
In a multiagent system (MAS), agents can have different opinions about a given problem. In order to solve the problem collectively they have to reach consensus about the ontology of the problem. A...
View ArticleComparison of Adaptive Information Security Approaches
Dynamically changing environments and threat landscapes require adaptive information security. Adaptive information security makes it possible to change and modify security mechanisms at runtime....
View Article3D Gestural Interaction: The State of the Field
3D gestural interaction provides a powerful and natural way to interact with computers using the hands and body for a variety of different applications including video games, training and simulation,...
View ArticleA Novel Web Classification Algorithm Using Fuzzy Weighted Association Rules
In associative classification method, the rules generated from association rule mining are converted into classification rules. The concept of association rule mining can be extended in web mining...
View ArticleMultiobjective Stochastic Programming for Mixed Integer Vendor Selection...
It has been always critical and inevitable to select and assess the appropriate and efficient vendors for the companies such that all the aspects and factors leading to the importance of the select...
View ArticleBPN Based Likelihood Ratio Score Fusion for Audio-Visual Speaker...
This paper deals with a new and improved approach of Back-propagation learning neural network based likelihood ratio score fusion technique for audio-visual speaker Identification in various noisy...
View ArticleWeighed Nonlinear Hybrid Neural Networks in Underground Rescue Mission
In our previous work, a novel model called compact radial basis function (CRBF) in a routing topology control has been modelled. The computational burden of Zhang and Gaussian transfer functions was...
View ArticleStudy on the Effectiveness of the Investment Strategy Based on a Classifier...
This paper examines two transactional strategies based on the classifier which opens positions using some rules and closes them using different rules. A rule set contains time-varying parameters that...
View ArticleGeneralized Fuzzy C-Means Clustering with Improved Fuzzy Partitions and...
Clustering involves grouping data points together according to some measure of similarity. Clustering is one of the most significant unsupervised learning problems and do not need any labeled data....
View ArticleApplication of Artificial Bee Colony Optimization Algorithm for Image...
With the advancement in image capturing device, the image data is being generated in high volumes. The challenging and important problem in image mining is to reveal useful information by grouping the...
View ArticleA Set of Geometric Features for Neural Network-Based Textile Defect...
A significant attention of researchers has been drawn by automated textile inspection systems in order to replace manual inspection, which is time consuming and not accurate enough. Automated textile...
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