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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…
Qiang Li, Rui Guo, 1 1
Against the integration of generative AI into mathematics education, large language models (LLMs) reshape the instructional design of probability and statistics, a core branch of stochastic mathematics focusing on uncertain reasoning. Drawing on statistical c…
Tessa E. Livingston, Joshua A. Blaney, Suresh S. Muknahallipatna
Class imbalance in time series data occurs when some classes have far fewer training samples than others. Training a neural network classifier on such an imbalanced dataset results in bias and poor performance. In this paper, we focus on the class imbalance i…
Emil Wangilisasi, Judith Leo, Anael Sam
Cross-Site Scripting (XSS) remains a widespread and damaging threats to web applications, as highlighted by the OWASP Top 10. While various detection methods exist, they often struggle to keep pace with the sophistication of attack vectors and obfuscation tec…
Suxiang Yu, Jinyue Wu, Dun Hua, Bai Yun, Huimiao Sun, Lingling Zhang, Feihong Wu, Dandan Yang, Xin Huang
The prevalent overlapping phenomenon of cervical cells in clinical samples constitutes a primary barrier limiting the application of deep learning classification models in cervical cancer screening. This study aims to evaluate the adverse impact of cell overl…
Emil Wangilisasi, Judith Leo, Anael Sam
Web applications remain critically vulnerable to injection attacks, including SQL Injection (SQLi), OS Command Injection, and Cross-Site Scripting (XSS) among others, which exploit the semantic gap between user-supplied input and executable code. Traditional…
Taghreed Alqaisi
Machine learning models, and deep neural networks in particular, have achieved remarkable performance across a wide spectrum of tasks from image classification and natural language processing to autonomous navigation and medical diagnostics. However, alongsid…
Zihao Chen, Xudong Wang, Zhe Zhao, Dawei Zhang, Huiqiang Wang, Changyuan Ge, Rui Lei, Jiaze Huang
To ensure the positional accuracy of the product after assembly, grouped rod-like solid propellants must be pre-strapped with cotton thread. The current manual operation involves operators being exposed to hazardous and explosive materials over long periods,…
Edwin Ohiorenuan Imohimi, Oluwaseyi Oyetunji
The evolving demands of modern K-12 education necessitate a fundamental reconceptualization of instructional architecture from fragmented, institution-centric delivery models toward integrated, data-driven learning ecosystems in which schools, learners, and h…
Vladimir Shats
This paper is devoted to revealing some features of machine learning problems and developing a new approach to solving them. It is based on the application of information processing technology by animal sensory systems, each of which perceives information of…
Adar Kalir, Alon Yaakobi, Sylvain Bouhnik, Einav Gilboa, Moshik Ohayon
The semiconductor industry is known for its complex production. Thousands of machines (tools) perform thousands of operations over a diverse range of products with re-entrant flows and shifting bottlenecks. Detecting and predicting these bottlenecks in real-t…
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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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