VR-prep improves visualization of medical data in augmented reality on smartphones
The CT imaging datasets used in this study consisted of volumetric scans acquired with variable technical parameters. The…
Urban heat stress and adolescent health: impacts and adaptation strategies in Indonesia
Data collection We conducted a cross-sectional study in Yogyakarta City, Indonesia, during October–November 2024. Yogyakarta City (hereafter called…
TinyML with CTGAN based smart industry power load usage prediction with original and synthetic data visualization towards industry 5.0
The experiment was conducted to evaluate the effectiveness of combining TinyML and CTGAN for intelligent load classification in…
Unlocking industrial decarbonization: the catalytic role of artificial intelligence in circular economy practices from EU countries
Descriptive statistics Table 3 provides descriptive statistics of the variables under study. These statistics provide an overview of…
Transformer windings defects identification using frequency response analysis and advanced data visualization techniques
Power transformer data set The study utilizes a three-phase 1200 kVA power transformer with a voltage rating of…
The impact of music visualization model by using internet of things techniques and deep neural network
Model testing and evaluation indicatorsEvaluation indicators The objective assessment indicators employed in the absence of external references encompass…
Endowing urban business environments with an intelligent brain: empirical evidence from cities in western China
Baseline regression results We use Eq. (1) to examine the relationship between SCP and the business environment with the…
Performance evaluation and degradation analysis of grid connected photovoltaic systems for energy efficient buildings in tropical climates
The subsequent section provides a comprehensive analysis and evaluation of eleven performance metrics and the degradation rate of…
A two-stage architecture for soundscape classification and preservation
Terminology and definitions In this work, we employ several machine learning concepts that we define here for clarity.…
Evaluating disruption scenarios for improving downstream oil supply chain resilience and cost minimization using Monte Carlo simulation
Proposed approach The aim of developing the model is to simulate a refined petroleum products supply chain, comprehending…
Kinetics study of sonotransesterification of low grade crude palm oil (CPO) using heterogeneous Na2O/activated natural mordenite catalyst
Characterization of activated natural mordenite zeolite (ANM) The natural zeolite used in this study was obtained from South…
Large-scale SARS-CoV-2 sequencing indicates prior community circulation of the viral strain associated with Germany’s largest meat processing plant
Sequencing of SARS-CoV-2 MPP outbreak and community samples To characterize the genetic structure of the Gütersloh outbreak, we…