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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…
Aliasghar Baziar, Abdollah Kavoosi-Fard, Jafar Zare
In the new competitive electricity market, the accurate operation management of Micro-Grid (MG) with various types of renewable power sources (RES) can be an effective approach to supply the electrical consumers more reliably and economically. In this regard,…
Qin Qin, Qing-Guo Wang, Jin Li, Shuzhi Sam Ge
This paper presents new trading models for the stock market and test whether they are able to consistently generate ex cess returns from the Singapore Exchange (SGX). Instead of conventional ways of modeling stock prices, we construct models which relate the…
Daisuke Miyamoto, Hiroaki Hazeyama, Youki Kadobayashi, Takeshi Takahashi
This paper analyzes users’ trust decision patterns for detecting phishing sites. Our previous work proposed HumanBoost [1] which improves the accuracy of detecting phishing sites by using users’ Past Trust Decisions (PTDs). Web users are generally required to…
José Luis Castillo Sequera, José Raúl Fernández del Castillo Diez, León Gonzalez Sotos
In this paper, we show a clustering method supported on evolutionary algorithms with the paradigm of linear genetic programming. “ The Straight-Line Programs ( slp )”, which uses a data structure which will be useful to represent collections of documents. Thi…
Nesrine Baklouti, Robert John, Adel M. Alimi
Navigation of autonomous mobile robots in dynamic and unknown environments needs to take into account different kinds of uncertainties. Type-1 fuzzy logic research has been largely used in the control of mobile robots. However, type-1 fuzzy control presents l…
Xiaojuan Liu, Enjian Bai, Jian’an Fang
Short-term load forecast plays an important role in the day-to-day operation and scheduling of generating units. Season and temperature are the most important factors that affect the load change, but random factors such as big sport events or popular TV shows…
Xue Tian, Cong Quan, Jun Zhang, H. J. Cai
Various trading strategies are applied in intraday high-frequency market to provide investors with reference signals to be on the right side of market at the right time. In this paper, we apply a trading strategy based on the combination of ACD rules and pivo…
GnanaJothi Raja Baskararaja, MeenaRani Sundaramoorthy Manickavasagam
Subgraph matching problem is identifying a target subgraph in a graph. Graph neural network (GNN) is an artificial neural network model which is capable of processing general types of graph structured data. A graph may contain many subgraphs isomorphic to a g…
Kathirvalavakumar Thangairulappan, Jebakumari Beulah Vasanthi Jeyasingh
An efficient face representation is a vital step for a successful face recognition system. Gabor features are known to be effective for face recognition. The Gabor features extracted by Gabor filters have large dimensionality. The feature of wavelet transform…
Mahmoud Ltaief, Sourour Njah, Hala Bezine, Adel M. Alimi
In this work a new technique for global perceptual codes (GPCs) extraction using genetic algorithms (GA) is presented. GAs are employed to extract the GPCs in order to reduce the original number of features and to provide meaningful representations of the ori…
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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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