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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…
Opeyemi Sheu Alamu, Md Kamrul Siam
A comparative analysis of deep learning models and traditional statistical methods for stock price prediction uses data from the Nigerian stock exchange. Historical data, including daily prices and trading volumes, are employed to implement models such as Lon…
Idrissa Sy, Mouhamad Mounirou Allaya, Mamadou Bousso, Ayoub Insa Corréa, Aba Diop, Youssouphe Guissé, Sérigne Souaibou Diop, Madieng Dieng
Context and Objectives: Stomach cancer ranks fifth in incidence and fourth in mortality worldwide. In Senegal, there were 597 new cases in 2020, with a mortality rate of almost 70%. The aim of this study was to develop a machine-learning model for the prognos…
Gerasimos Vlassopoulos, George Albert Karikas, Efstathia Papageorgiou, Ioannis Psaromiligkos, Niki Giannouli, Pigi Vlassopoulou, Petros Karkalousos
E-learning platforms support education systems worldwide, transferring theoretical knowledge as well as soft skills. In the present study high-school pupils’, and adult students’ opinions were evaluated through a modern structured MOODLE interactive course, d…
Virgile Simé Nyassi, Franklin Tchakounté, Blaise Omer Yenké, Duplex Elvis Houpa Danga, Magnuss Dufe Ngoran, Jean Louis Kedieng Ebongue Fendji
This study examines vishing, a form of social engineering scam using voice communication to deceive individuals into revealing sensitive information or losing money. With the rise of smartphone usage, people are more susceptible to vishing attacks. The propos…
Alio Boubacar Goga, Harouna Naroua, Chaibou Kadri
In many fields, particularly that of health, the diagnosis of diseases is a very difficult task to carry out. Therefore, early detection of diseases using artificial intelligence tools can be of paramount importance in the medical field. In this study, we pro…
Zhonger Zhu, Wansheng Wang
Stocks in the Chinese stock market can be divided into ST stocks and normal stocks, so to prevent investors from buying potential ST stocks, this paper first performs SMOTEENN oversampling data preprocessing for the ST stock category, and selects 139 financia…
Oluwaseun Johnson Awosejo, Agnieta Pretorius, Tendani Justice Lavhengwa
The value of system assimilation is to improve working relationships between tutors and learners while increasing workflow efficiency among tertiary institutions with low operational costs. E-skills could be described as electronic education development, to a…
Mahmoud Atta Mohammed Ali, Tarek Aly, Atef Tayh Raslan, Mervat Gheith, Essam A. Amin
One of the most basic and difficult areas of computer vision and image understanding applications is still object detection. Deep neural network models and enhanced object representation have led to significant progress in object detection. This research inve…
Maryam Roshanaei, Mahir R. Khan, Natalie N. Sylvester
The rapid integration of artificial intelligence (AI) into critical sectors has revealed a complex landscape of cybersecurity challenges that are unique to these advanced technologies. AI systems, with their extensive data dependencies and algorithmic complex…
Bo Song, Yuanhao Xu, Penghao Liang, Yichao Wu
Large language models like Generative Pretrained Transformer (GPT) have significantly advanced natural language processing (NLP) in recent times. They have excelled in tasks such as language translation question answering and text generation. However, their e…
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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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