Understanding and predicting micro-characteristics of ultra-high performance concrete (UHPC) with green porous lightweight aggregates: Insights from machine …

L Zhang, W Xu, D Fan, E Dong, K Liu, L Xu… - Construction and Building …, 2024 - Elsevier
Ultra-high performance concrete (UHPC) is an advanced material in construction. Porous
lightweight aggregates (PLWA) could reduce the self-shrinkage risk of UHPC by maintaining …

DDoS attacks detection method using feature importance and support vector machine

A Sanmorino, R Gustriansyah… - JUITA: Jurnal …, 2022 - jurnalnasional.ump.ac.id
In this study, the author wants to prove the combination of feature importance and support
vector machine relevant to detecting distributed denial-of-service attacks. A distributed …

[HTML][HTML] Machine learning for grouping nano-objects based on their morphological parameters obtained from sem analysis

P Kozikowski - Micron, 2023 - Elsevier
Nanoparticles have unique properties that make them useful in a variety of applications, but
their potential toxicity raises concerns about their safety. Accurate characterization of …

SyMPox: An Automated Monkeypox Detection System Based on Symptoms Using XGBoost

A Farzipour, R Elmi, H Nasiri - arXiv preprint arXiv:2310.19801, 2023 - arxiv.org
Monkeypox is a zoonotic disease. About 87000 cases of monkeypox were confirmed by the
World Health Organization until 10th June 2023. The most prevalent methods for identifying …

Deep Learning Solution to Various Issues of Finance, A Productive Research Approach

R Raman, D Buddhi, M Gor, B Ratnavalli… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Natural language processing, audio-visual recognition and computer vision all make
extensive use of deep learning. Research is becoming increasingly interested as a result of …

An investigation on the role of artificial intelligence in scalable visual data analytics

R Raman, D Buddhi, G Lakhera, Z Gupta… - 2023 International …, 2023 - ieeexplore.ieee.org
Due to the huge amounts of data being generated from various sources, including online
communities, the internet of things, and interactive applications, big data has emerged as an …

[PDF][PDF] Intra-class deep learning object detection on embedded computer system

PAW Santiary, IK Swardika, DAIC Dewi… - Int J Artif Intell … - pdfs.semanticscholar.org
Implementation of artificial intelligence tends to be portable, mobile and embeds in
embedded computer system (EBD). EBD is a special-purpose computer with limited capacity …

[PDF][PDF] DEVELOPMENT OF AN INNOVATIVE AND TRANSPARENT SYMPTOM CHECKER WITH A FOCUS ON MULTI-LABEL CLASSIFICATION

H PETRY, R JI - run.unl.pt
This paper presents the creation of a medical symptom checker with state-of-the-art machine
and deep learning technologies. It examines the use and development of speech-to-text …