Search
Search Results
-
Characteristics and influencing factors of corneal higher-order aberrations in patients with cataract
PurposeTo observe the distribution characteristics of corneal higher-order aberrations (HOAs) in cataract patients, and analyze the relationship of...
-
Compressive Strength Estimation of Rice Husk Ash-Blended Concrete Using Deep Neural Network Regression with an Asymmetric Loss Function
This paper proposes a deep learning solution for estimating the compressive strength of rice husk ash-blended concrete. The deep learning models are...
-
Tibetan Plateau Runoff and Evapotranspiration Dataset by an observation-constrained cryosphere-hydrology model
Runoff and evapotranspiration (ET) are pivotal constituents of the water, energy, and carbon cycles. This research presents a 5-km monthly gridded...
-
Comparison of Easydo Activator, ultrasonic and needle irrigation techniques on sealer penetration and smear layer removal in vitro
The effects of Easydo Activator (EA), a new sonic irrigation system, on sealer penetration at the root apex were compared to needle irrigation (NI)...
-
Calibration of miniature air quality detector monitoring data with PCA–RVM–NAR combination model
The development of miniature air quality detectors makes it possible for humans to monitor air quality in real time and grid. However, the accuracy...
-
Building Temporally Compatible TSES Dataset
It is inevitable to match different temporal rhythms between environmental and socioeconomic systems to examine the interactions between the two...
-
Mixed Decomposed Convolution Network for Ionospheric Scintillation and Dispersion Mitigation in Space Borne SAR Imaging
Radar image quality is severely harmed by phase error, which is mostly caused by the random fluctuations of ionospheric abnormalities and the...
-
Prediction of Cutting Forces for Machine Tools by Neural Networks
The research objective is focused on develo** artificial neural network (ANN) based approach to estimate optimal cutting forces based on various...
-
Predicting lung function decline in cystic fibrosis: the impact of initiating ivacaftor therapy
BackgroundModulator therapies that seek to correct the underlying defect in cystic fibrosis (CF) have revolutionized the clinical landscape. Given...
-
Effectiveness of chitosan-propolis nanoparticle against Enterococcus faecalis biofilms in the root canal
BackgroundThe successful outcome of endodontic treatment depends on controlling the intra-radicular microbial biofilm by effective instrumentation...
-
Testing environmental effects on taxonomic composition with canonical correspondence analysis: alternative permutation tests are not equal
After applying canonical correspondence analysis to metagenomics data with hugely different library sizes (site totals) it became evident that Canoco...
-
Data treatment methods for real-time colorimetric loop-mediated isothermal amplification reactions
With the SARS-CoV-2 pandemic and the need for affordable and rapid mass testing, colorimetric isothermal amplification reactions such as...
-
A pre-trained model selection for transfer learning of remaining useful life prediction of grinding wheel
Grinding tools can be used for over 90% of their lifetime, but most practical production tools are replaced between 50 and 80%. Accurate tool...
-
A novel hybrid model based on two-stage data processing and machine learning for forecasting chlorophyll-a concentration in reservoirs
The accurate and efficient prediction of chlorophyll-a (Chl-a) concentration is crucial for the early detection of algal blooms in reservoirs....
-
Evaluate and Predict the Resist Electric Current and Compressive Strength of Concrete Modified with GGBS and Steelmaking Slag Using Mathematical Models
Concrete is a highly adaptable composite material that is widely used in construction. Steelmaking produces byproducts such as ferrous steel slag and...
-
Predictive Modelling of Flexural Strength in Recycled Aggregate-Based Concrete: A Comprehensive Approach with Machine Learning and Global Sensitivity Analysis
This research focuses on predicting Flexural Strength ( F ck ) in recycled aggregate-based concrete through a comprehensive approach integrating machine...
-
-
Machine Learning-Based Image Forgery Detection Using Light Gradient-Boosting Machine
In recent days, due to the increasing development of digital automation, images have emerged as a significant way to interact as well as transfer...
-
Surface water quality index forecasting using multivariate complementing approach reinforced with locally weighted linear regression model
River water quality management and monitoring are essential responsibilities for communities near rivers. Government decision-makers should monitor...
-
Hybrid machine learning application with integration of meta-heuristic algorithm for prediction of cooling load
Cooling Load, the energy needed for temperature control in a space, is vital for energy conservation, efficient management, and planning. Accurate...
