[HTML][HTML] Forecasting: theory and practice
Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …
uncertainty that surrounds the future is both exciting and challenging, with individuals and …
[HTML][HTML] Towards data and analytics driven B2B-banking for green finance: A cross-selling use case study
This paper examines the role of technological innovation in banking and its potential effects
on economic cycles. Specifically, it utilizes a case study of a German bank (Bank A) in the …
on economic cycles. Specifically, it utilizes a case study of a German bank (Bank A) in the …
The effect of feature normalization methods in radiomics
A Demircioğlu - Insights Into Imaging, 2024 - Springer
Objectives In radiomics, different feature normalization methods, such as z-Score or Min–
Max, are currently utilized, but their specific impact on the model is unclear. We aimed to …
Max, are currently utilized, but their specific impact on the model is unclear. We aimed to …
LST determination of different urban growth patterns: A modeling procedure to identify the dominant spatial metrics
The growing threat of urban heating has attracted considerable scholarly attention to their
modeling and prediction. To improve the urban land surface temperature (LST) …
modeling and prediction. To improve the urban land surface temperature (LST) …
[HTML][HTML] Machine learning-based ransomware classification of Bitcoin transactions
Ransomware presents a significant threat to the security and integrity of cryptocurrency
transactions. This research paper explores the intricacies of ransomware detection in …
transactions. This research paper explores the intricacies of ransomware detection in …
Box-Cox transformation based state-space modeling as a unified prognostic framework for degradation linearization and RUL prediction enhancement
Remaining useful life (RUL) prediction is a core of prognostics and health management
(PHM), which is beneficial to arranging preventive maintenance and avoiding sudden …
(PHM), which is beneficial to arranging preventive maintenance and avoiding sudden …
Wavelet neural network modeling for the retention efficiency of sub-15 nm nanoparticles in ultrafiltration under small particle to pore diameter ratio
Z Fan, P Ji, J Zhang, D Segets, DR Chen… - Journal of membrane …, 2021 - Elsevier
Ultrafiltration (UF) using membranes with a small ratio of particle to pore diameter (PPD)
would be very desirable for energy saving. The nanoparticle (NP) retention efficiency of …
would be very desirable for energy saving. The nanoparticle (NP) retention efficiency of …
Flexible models for complex data with applications
Probability distributions are the building blocks of statistical modeling and inference. It is
therefore of the utmost importance to know which distribution to use in what circumstances …
therefore of the utmost importance to know which distribution to use in what circumstances …
[HTML][HTML] Probabilistic residual strength assessment of smart composite aircraft panels using guided waves
IN Giannakeas, F Mazaheri, O Bacarreza… - Reliability Engineering & …, 2023 - Elsevier
Typical prognosis methods in Structural Health Monitoring (SHM) link the degradation
mechanisms to the extracted health indicators. Such approaches however do not provide …
mechanisms to the extracted health indicators. Such approaches however do not provide …
Citizen science provides valuable data to evaluate elasmobranch diversity and trends throughout the French Polynesia's shark sanctuary
Observers of the Polynesian Shark Observatory (ORP), a citizen science network organized
mainly through the Polynesian dive centers, collected an unprecedented amount of data …
mainly through the Polynesian dive centers, collected an unprecedented amount of data …