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 …
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 …
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 …
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 …
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
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 …
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
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 …
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
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 …
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 …
and deep learning technologies. It examines the use and development of speech-to-text …