Francesco Bertolotti,Niccolò Kadera,Luca Pasquino et al.
Francesco Bertolotti et al.
This paper presents an epidemiological extension of the El Farol Bar problem, where both a social and an epidemiological dimension are present. In the model, individual agents making binary decisions-to visit a bar or stay home-amidst a non...
Huanjing Liu,Xiao Zhang,Qian Liu
Huanjing Liu
Neurodegenerative diseases are chronic, progressive conditions that cause irreversible damage to the nervous system, particularly in aging populations. Early diagnosis is a critical challenge, as these diseases often develop slowly and with...
Cloud computing convergence: integrating computer applications and information management for enhanced efficiency [0.03%]
云计算融合：整合计算机应用和信息管理以提高效率
Guo Zhang
Guo Zhang
This study examines the transformative impact of cloud computing on the integration of computer applications and information management systems to improve operational efficiency. Grounded in a robust methodological framework, the research e...
Next-generation approach to skin disorder prediction employing hybrid deep transfer learning [0.03%]
利用混合深度迁移学习预测皮肤疾病的新一代方法
Yonis Gulzar,Shivani Agarwal,Saira Soomro et al.
Yonis Gulzar et al.
Introduction: Skin diseases significantly impact individuals' health and mental wellbeing. However, their classification remains challenging due to complex lesion characteristics, overlapping symptoms, and limited annotat...
Editorial: Machine learning and immersive technologies for user-centered digital healthcare innovation [0.03%]
编辑部：面向用户的数字医疗创新中的机器学习与沉浸式技术
Federico Colecchia,Daniele Giunchi,Rui Qin et al.
Federico Colecchia et al.
Deep learning for accurate classification of conifer pollen grains: enhancing species identification in palynology [0.03%]
深度学习在孢粉学中精确分类针叶树花粉粒的研究：提高物种识别度
Masoud A Rostami,LeMaur Kydd,Behnaz Balmaki et al.
Masoud A Rostami et al.
Accurate identification of pollen grains from Abies (fir), Picea (spruce), and Pinus (pine) is an important method for reconstructing historical environments, past landscapes and understanding human-environment interactions. However, distin...
Allison Reinsvold Hall,Nicole Skidmore,Gabriele Benelli et al.
Allison Reinsvold Hall et al.
In this article we document the current analysis software training and onboarding activities in several High Energy Physics (HEP) experiments: ATLAS, CMS, LHCb, Belle II and DUNE. Fast and efficient onboarding of new collaboration members i...
Big data analytics and AI as success factors for online video streaming platforms [0.03%]
大数据分析和人工智能作为在线视频流平台的成功因素
Muhammad Arshad,Choo Wou Onn,Ashfaq Ahmad et al.
Muhammad Arshad et al.
As the trend in the current generation with the use of mobile devices is rapidly increasing, online video streaming has risen to the top in the entertainment industry. These platforms have experienced radical expansion due to the incorporat...
Florian Windhager,Steffen Koch,Sander Münster et al.
Florian Windhager et al.
Alan Said
Alan Said
The rise of Large Language Models (LLMs), such as LLaMA and ChatGPT, has opened new opportunities for enhancing recommender systems through improved explainability. This paper provides a systematic literature review focused on leveraging LL...