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Article
Engineering, Chemical
T. Marquardt et al.
Summary: This paper investigates the assessment of fractal parameters of blast-cleaned substrates using cross-section images and contact stylus instrument measurements. The results show that the fractal values of the cross-section profiles are approximately twice as high as those from the contact stylus data.
JOURNAL OF ADHESION SCIENCE AND TECHNOLOGY
(2023)
Article
Chemistry, Physical
Toshio Naito et al.
Summary: By studying the electron spin resonance spectra of powder samples of the high-T-C superconductor YBa2Cu3O7-delta with fractal dimensions, a quantitative relationship between electronic properties and fractal dimensions has been determined. Anomalies in critical temperatures and other parameters were observed at a fractal dimension of around 2.9, suggesting a universal structural instability at specific fractal dimensions affecting physical and chemical properties of the samples.
PHYSICAL CHEMISTRY CHEMICAL PHYSICS
(2022)
Article
Computer Science, Information Systems
Junhyung Kang et al.
Summary: Significant advancements in computer vision research have made object processing in high-resolution overhead imagery more effective. This survey paper provides a comprehensive overview and comparative reviews on the most up-to-date deep learning-based object detection in overhead images, shedding light on the recent advancements and introducing previously unsurveyed overhead datasets.
Article
Computer Science, Artificial Intelligence
Camillo Porcaro et al.
Summary: Accurate diagnosis of disorders of consciousness is crucial for tailored treatment programs. Using tools like EEG and a nonlinear method such as Higuchi's Fractal Dimension can improve diagnostic accuracy for distinguishing between MCS and VS groups. HFD has been found to be more sensitive than linear methods and shows promise in reducing misdiagnosis.
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
(2022)
Review
Environmental Sciences
Jiaxin Li et al.
Summary: Water is an essential resource on Earth, but the global water scarcity is becoming increasingly serious due to climate change and human activities. Remote sensing technology can provide real-time and extensive water information, making it an important tool for quickly obtaining water information. Various water extraction methods have been summarized, with threshold segmentation showing better performance, but there are still many challenges to overcome for accurate results.
Article
Geosciences, Multidisciplinary
Xiuquan Hu et al.
Summary: This study proposes an image recognition-based method for calculating fault multifractality and successfully applies it to fracture studies in southeast Sichuan. The method demonstrates considerably improved work efficiency and accuracy compared to the conventional approach.
FRONTIERS IN EARTH SCIENCE
(2022)
Article
Physiology
Jacksson Sanchez et al.
Summary: Tumor interface dynamics, determined by cell proliferation and invasion, is a complex process. Different morphological and dynamical descriptors can be used to discriminate between different types of tumors.
FRONTIERS IN PHYSIOLOGY
(2022)
Review
Mathematics, Interdisciplinary Applications
Fredrick M. Mwema et al.
Summary: This article presents a bibliometric analysis of publications on fractal theory and thin films. The analysis reveals a growing trend in research on the applications of fractal theory in thin film technology. The factors driving this trend are discussed, and the co-citation, co-authorship, and bibliographic coupling among authors, institutions, and regions are presented.
FRACTAL AND FRACTIONAL
(2022)
Article
Statistics & Probability
Dmitriy Kolyukhin
Summary: Fractals and their fractal dimensions play a crucial role in various scientific fields. This paper investigates the accuracy of estimating the correlation fractal dimension D-2 and its confidence interval, using Monte Carlo method and jackknife method. The study proves the reliability and effectiveness of these methods in analyzing geometric properties of fractals.
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
(2021)
Article
Environmental Sciences
Mauricio C. R. Cordeiro et al.
Summary: This study introduces a nonparametric unsupervised automatic algorithm for identifying inland water pixels from multispectral satellite data. By utilizing clustering analysis and high-performance subsampling, along with machine learning techniques and a combination of water indices and reflectance bands, the accuracy of water pixel identification is significantly improved.
REMOTE SENSING OF ENVIRONMENT
(2021)
Review
Environmental Sciences
Bharat Sharma Acharya et al.
Summary: The development of UAV technology has filled the gap in data resolution in hydrological sciences and plays a crucial role in characterization, monitoring, assessment, and modeling of soil and water resources. There are opportunities and challenges in surface water and groundwater studies, land-atmosphere interaction studies, water management, ecosystem monitoring, and hydrological modeling.
WATER RESOURCES RESEARCH
(2021)
Article
Water Resources
Dinh Nhat Quang et al.
Summary: This study proposed a methodology to process satellite images and extract surface water in Quang Nam province, achieving good agreement with in situ measurement data. Three potential applications based on the surface water results were selected to discuss sustainable water management in the region, including examining reservoir operating processes, detecting long-term morphological changes for rivers, and assessing flood inundation extent caused by natural disasters.
JOURNAL OF WATER AND CLIMATE CHANGE
(2021)
Article
Chemistry, Multidisciplinary
Wenyue Zhao et al.
Summary: A new model was established to calculate the fractal dimension of polymer microspheres (PMs), which was validated through experiments and found to be linearly correlated with the particle size and space occupancy ability of PMs.
FRONTIERS IN CHEMISTRY
(2021)
Review
Remote Sensing
Mbulisi Sibanda et al.
Summary: The study shows modest progress in the utility of UAVs for water quality and quantity monitoring, especially in the global south. Challenges include high costs, lack of relevant skills, and regulations, as well as a lack of focus on UAV application in water resources monitoring and assessment, and a shortage of reliable data needed to parameterise models. However, there are opportunities to advance scientific inquiry by integrating UAV data and machine learning.
Article
Remote Sensing
R. Ablin et al.
EUROPEAN JOURNAL OF REMOTE SENSING
(2020)
Review
Chemistry, Multidisciplinary
Anju Asokan et al.
APPLIED SCIENCES-BASEL
(2020)
Article
Environmental Sciences
Filsa Bioresita et al.
Article
Mathematics, Interdisciplinary Applications
Pedro Chamorro-Posada
CHAOS SOLITONS & FRACTALS
(2016)
Article
Imaging Science & Photographic Technology
Z. F. Muhsin et al.
IMAGING SCIENCE JOURNAL
(2014)
