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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…
Abdulai Ayirebi Ankrah, James Kuria Kimotho, Onesmus Mutuku Muvengei
Transportation of freight and passengers by train is one of the oldest types of transport, and has now taken root in most of the developing countries especially in Africa. Recently, with the advent and development of high-speed trains, continuous monitoring o…
Abhishek Aravind, Avinash G. Bahirvani, Ronald Quiambao, Teresa Gonzalo
Using the latest available artificial intelligence (AI) technology, an advanced algorithm LIVERFASt TM has been used to evaluate the diagnostic accuracy of machine learning (ML) biomarker algorithms to assess liver damage. Prevalence of NAFLD (Nonalcoholic fa…
Yong Zhang, Jing Zhang
Objective: The Chinese description of images combines the two directions of computer vision and natural language processing. It is a typical representative of multi-mode and cross-domain problems with artificial intelligence algorithms. The image Chinese desc…
Rixin Chen, Ruoxi Dai, Mingye Wang
Genome-wide epigenomic datasets allow us to validate the biological function of motifs and understand the regulatory mechanisms more comprehensively. How different motifs determine whether transcription factors (TFs) can bind to DNA at a specific position is…
Vladimir N. Shats
This paper proposes two new algorithms for classifying objects with categorical attributes. These algorithms are derived from the assumption that the attributes of different object classes have different probability distributions. One algorithm classifies obj…
Jiaxin Gao, Zirui Zhou, Jiangshan Ai, Bingxin Xia, Stephen Coggeshall
Credit card fraud is a wide-ranging issue for financial institutions, involving theft and fraud committed using a payment card. In this paper, we explore the application of linear and nonlinear statistical modeling and machine learning models on real credit c…
Xiyu Kang, Yiqi Wang, Yanrui Hu
Minimax algorithm and machine learning technologies have been studied for decades to reach an ideal optimization in game areas such as chess and backgammon. In these fields, several generations try to optimize the code for pruning and effectiveness of evaluat…
Asma Ben Khedher, Imène Jraidi, Claude Frasson
Monitoring students’ level of engagement during learning activities is an important challenge in the development of tutoring interventions. In this paper, we explore the feasibility of using electroencephalographic signals (EEG) as a tool to monitor the menta…
Ziming Chi, Bingyan Zhang
In this paper we employ an improved Siamese neural network to assess the semantic similarity between sentences. Our model implements the function of inputting two sentences to obtain the similarity score. We design our model based on the Siamese network using…
Tianquan Feng, Qingrong Chen, Ming Yi
Short Retraction Notice The paper is withdrawn from " Journal of Intelligent Learning Systems and Applications " due to data errors in this paper which has been confirmed by EIC of this journal . This article has been retracted to straighten the academic reco…
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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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