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Call for papersThe 2026 special issue on Climate & Health is open for submissions.Learn more
The Journal of Intelligence Learning Systems and Applications (JILSA) is a peer reviewed international journal with a key objective to provide the academic and industrial community a medium for presenting original cutting-edge research related to intelligent learning systems and their applications. JILSA invites autho…
Thangairulappan Kathirvalavakumar, Jeyasingh Jebakumari Beulah Vasanthi
An efficient face recognition system with face image representation using averaged wavelet packet coefficients, compact and meaningful feature vectors dimensional reduction and recognition using radial basis function (RBF) neural network is presented. The fac…
Mita K. Dalal, Mukesh A. Zaveri
Automatic classification of blog entries is generally treated as a semi-supervised machine learning task, in which the blog entries are automatically assigned to one of a set of pre-defined classes based on the features extracted from their textual content. T…
Chao Yu, Binh-Nguyen Le, Xian Li, Qing-Guo Wang
This paper proposes a method for determining the stabilizing parameter regions for general delay control systems based on randomized sampling. A delay control system is converted into a unified state-space form. The numerical stability condition is developed…
Reza Khorram-Nia, Aliasghar Baziar, Abdollah Kavousi-Fard
This paper proposes a new stochastic framework based on the probabilistic load flow to consider the uncertainty effects in the Distribution Static Compensator (DSTATCOM) allocation and sizing problem. The proposed method is based on the point estimate method…
Mayy M. Al-Tahrawi
In this paper, the role of rare or infrequent terms in enhancing the accuracy of English Text Categorization using Polynomial Networks (PNs) is investigated. To study the impact of rare terms in enhancing the accuracy of PNs-based text categorization, differe…
Gilberto C. Pereira, Marilia M. F.de Oliveira, Nelson F. F. Ebecken
Since viruses are able to influence the trophic status and community structure they should be accessed and accounted in ecosystem functioning and management models. So, this work met a set of biological, chemical and physical time series in order to explore t…
Rongshuai Li, Akira Mita, Jin Zhou
This hybrid methodology for structural health monitoring (SHM) is based on immune algorithms (IAs) and symbolic time series analysis (STSA). Real-valued negative selection (RNS) is used to detect damage detection and adaptive immune clonal selection algorithm…
Chandrasekhar Neelamegam, Vishnuvardhan Sapineni, Vasudevan Muthukumaran, Jayakumar Tamanna
Reduced-activated ferritic-martensitic steels are being considered for use in fusion energy reactor and subsequent fusion power reactor applications. Typically, those reduced activated steels can loose their radioactivity in approximately 100 years, compared…
Massimo Buscema, Marco Breda, Weldon Lodwick
This article shows the efficacy of TWIST, a methodology for the design of training and testing data subsets extracted from given dataset associated with a problem to be solved via ANNs. The methodology we present is embedded in al gorithms and actualized in c…
Pablo Rivas-Perea, Juan Cota-Ruiz, J. A. Perez Venzor, David Garcia Chaparro, Jose-Gerardo Rosiles
In this paper we study the problem of model selection for a linear programming-based support vector machine for re gression. We propose generalized method that is based on a quasi-Newton method that uses a globalization strategy and an inexact computation of…
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The Journal of Intelligence Learning Systems and Applications (JILSA) is a peer reviewed international journal with a key objective to provide the academic and industrial community a medium for presenting original cutting-edge research related to intelligent learning systems and their applications. JILSA invites autho… All articles are open access under a CC BY 4.0 licence, with authors retaining copyright.
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