Medical image analysis using deep learning algorithms

M Li, Y Jiang, Y Zhang, H Zhu - Frontiers in Public Health, 2023 - frontiersin.org
In the field of medical image analysis within deep learning (DL), the importance of
employing advanced DL techniques cannot be overstated. DL has achieved impressive …

Trends in using deep learning algorithms in biomedical prediction systems

Y Wang, L Liu, C Wang - Frontiers in Neuroscience, 2023 - frontiersin.org
In the domain of using DL-based methods in medical and healthcare prediction systems, the
utilization of state-of-the-art deep learning (DL) methodologies assumes paramount …

Durability evaluation and environmental implications of blended cement with colloidal nano-silica for use in recycled fine aggregate concrete: Experimental and …

F Rezaeicherati, A Memarzadeh, A Esmailpour… - … and Building Materials, 2023 - Elsevier
The incorporation of waste materials in concrete is currently a practical solution to solve
certain environmental concerns. Because of the property degradation of the produced …

Performance evaluation of asphalt mixtures containing different proportions of alternative materials

M Khorshidi, A Goli, M Orešković, K Khayambashi… - Sustainability, 2023 - mdpi.com
With the increasing scarcity and cost of virgin materials for asphalt mixtures, the exploration
of alternative components has intensified. Reclaimed asphalt pavement (RAP), crumb …

The deep learning applications in IoT-based bio-and medical informatics: a systematic literature review

Z Amiri, A Heidari, NJ Navimipour… - Neural Computing and …, 2024 - Springer
Nowadays, machine learning (ML) has attained a high level of achievement in many
contexts. Considering the significance of ML in medical and bioinformatics owing to its …

Presentation of machine learning methods and multi-objective optimization of fracture indices for asphalt rubber mixtures containing wax-based warm mix additives …

SM Hosseinian, P Bazoobandi, SR Mousavi… - … and Building Materials, 2023 - Elsevier
Warm mix asphalt (WMA) additives have been proposed to overcome the high viscosity
problem of crumb rubber modified asphalt (CRMA) binders. Various additives have been …

Intelligent mapping of geochemical anomalies: Adaptation of DBSCAN and mean-shift clustering approaches

M Hajihosseinlou, A Maghsoudi… - Journal of Geochemical …, 2024 - Elsevier
Cluster analysis can be used to organize samples and generate ideas regarding the
multivariate geochemistry of given dataset. Traditional clustering techniques have the …

Exploring the impact of information technology on the relationship between management skills, risk management, and project success in construction industries

S Niyafard, SS Jalalian, F Damirchi… - International …, 2024 - inderscienceonline.com
Global industries are associated with risk; the construction industry is not an exception. The
construction industry has a complex nature, involving different participants; therefore …

Fracture Resistance of RAP Containing Recycled Polyethylene and Different Rejuvenators at Low and Medium Temperatures Using a Nonstandard SCB Test

P Sadeghi, A Goli, M Asadi - Journal of Materials in Civil …, 2024 - ascelibrary.org
Reclaimed asphalt pavement (RAP) contains significant amounts of valuable materials,
which in new construction in the pavement industry contributes to sustainable development …

Carbon Sequestration via Bituminous Composites Containing Recycled High-Density Polyethylene

P Sadeghi, A Goli, E Fini - Journal of Composites Science, 2024 - mdpi.com
This paper presents an innovative bituminous composite containing recycled high-density
polyethylene (HDPE) as a means of carbon sequestration. To prepare the composite …