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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…
Fletcher Wadsworth, Suresh S. Muknahallipatna, Khaled Ksaibati
In an effort to reduce vehicle collisions with snowplows in poor weather conditions, this paper details the development of a real time thermal image based machine learning approach to an early collision avoidance system for snowplows, which intends to detect…
Ju Wang, Xinghu Ai, Li Fu
The two universes multi-granularity fuzzy rough set model is an effective tool for handling uncertainty problems between two domains with the help of binary fuzzy relations. This article applies the idea of neighborhood rough sets to two universes multi-granu…
Mahyar Bolhassani
The COVID-19 pandemic has had a widespread negative impact globally. It shares symptoms with other respiratory illnesses such as pneumonia and influenza, making rapid and accurate diagnosis essential to treat individuals and halt further transmission. X-ray i…
Aws I. Abu Eid, Achraf Ben Miled, Ahlem Fatnassi, Majid A. Nawaz, Ashraf F. A. Mahmoud, Faroug A. Abdalla, Chams Jabnoun, Aida Dhibi, Firas M. Allan, Mohammed Ahmed Elhossiny, Salem Belhaj, Imen Ben Mohamed, 1 1
This article delves into the intricate relationship between big data, cloud computing, and artificial intelligence, shedding light on their fundamental attributes and interdependence. It explores the seamless amalgamation of AI methodologies within cloud comp…
Ion-Alexandru Secara, Dariia Hordiiuk
The integration of wearable technologies and artificial intelligence (AI) has revolutionized healthcare, enabling advanced personal health monitoring systems. This article explores the transformative impact of wearable technologies and AI on healthcare, highl…
James W. Mock, Suresh S. Muknahallipatna
The performance of the state-of-the-art Deep Reinforcement algorithms such as Proximal Policy Optimization, Twin Delayed Deep Deterministic Policy Gradient, and Soft Actor-Critic for generating a quadruped walking gait in a virtual environment was presented i…
Shadman Mahmood Khan Pathan, Sakan Binte Imran
Cardiovascular Diseases (CVDs) pose a significant global health challenge, necessitating accurate risk prediction for effective preventive measures. This comprehensive comparative study explores the performance of traditional Machine Learning (ML) and Deep Le…
Liang Liu, Nan Yang, Saifei Liu, Yuanyuan Cao, Shuowen Tian, Tiancheng Liu, Xun Zhao
Aiming at the problem of low accuracy of traditional target detection methods for target detection in endoscopes in substation environments, a CNN-based real-time detection method for masked targets is proposed. The method adopts the overall design of backbon…
Md. Tofael Ahmed, Mariam Akter, Md. Saifur Rahman, Maqsudur Rahman, Pintu Chandra Paul, Miss. Nargis Parvin, Almas Hossain Antar
Spam emails pose a threat to individuals. The proliferation of spam emails daily has rendered traditional machine learning and deep learning methods for screening them ineffective and inefficient. In our research, we employ deep neural networks like RNN, LSTM…
Maryam Roshanaei, Hanna Olivares, Rafael Rangel Lopez
In contemporary educational landscapes, Artificial Intelligence (AI) has emerged as a pivotal tool to promote equity and inclusivity. One of the most significant contributions of AI is its ability to facilitate personalized learning. Through the analysis of a…
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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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