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View article: Spatial impulse response analysis and ensemble learning for efficient precision level sensing
Spatial impulse response analysis and ensemble learning for efficient precision level sensing Open
In this paper, we propose an innovative method for determining the fill level of containers, such as trash cans, addressing a critical aspect of waste management. The method combines spatial impulse response analysis with machine learning …
View article: Spatial Impulse Response Analysis and Ensemble Learning for Efficient Precision Level Sensing
Spatial Impulse Response Analysis and Ensemble Learning for Efficient Precision Level Sensing Open
In this paper, we propose an innovative method for determining the fill level of containers, such as trash cans, addressing a critical aspect of waste management. The method combines spatial impulse response analysis with machine learning …
View article: Likelihood-based Sensor Calibration using Affine Transformation
Likelihood-based Sensor Calibration using Affine Transformation Open
An important task in the field of sensor technology is the efficient implementation of adaptation procedures of measurements from one sensor to another sensor of identical design. One idea is to use the estimation of an affine transformati…
View article: Exploring Adversarial Attacks on Neural Networks: An Explainable Approach
Exploring Adversarial Attacks on Neural Networks: An Explainable Approach Open
Deep Learning (DL) is being applied in various domains, especially in safety-critical applications such as autonomous driving. Consequently, it is of great significance to ensure the robustness of these methods and thus counteract uncertai…
View article: Development and Implementation of the Data Science Learning Platform for Research Physician
Development and Implementation of the Data Science Learning Platform for Research Physician Open
Data analysis and their application are the unavoidable factors in the activities analyses in health care. Unfortunately, the acquisition of data from large available medical databases is a complex process and requires deep knowledge of co…
View article: A Visualization and Benchmarking Simulator for Clinical Data
A Visualization and Benchmarking Simulator for Clinical Data Open
The availability of Big Data has increased significantly in many areas in recent years. Insights from these data sets lead to optimized processes in many industries, which is why understanding as well as gaining knowledge through analyses …
View article: Predicting Abnormalities in Laboratory Values of Patients in the Intensive Care Unit Using Different Deep Learning Models: Comparative Study
Predicting Abnormalities in Laboratory Values of Patients in the Intensive Care Unit Using Different Deep Learning Models: Comparative Study Open
Background In recent years, the volume of medical knowledge and health data has increased rapidly. For example, the increased availability of electronic health records (EHRs) provides accurate, up-to-date, and complete information about pa…
View article: A Novel Hybrid Methodology for Anomaly Detection in Time Series
A Novel Hybrid Methodology for Anomaly Detection in Time Series Open
Numerous research methods have been developed to detect anomalies in the areas of security and risk analysis. In healthcare, there are numerous use cases where anomaly detection is relevant. For example, early detection of sepsis is one su…
View article: A Deep Learning Approach for Managing Medical Consumable Materials in Intensive Care Units via Convolutional Neural Networks: Technical Proof-of-Concept Study
A Deep Learning Approach for Managing Medical Consumable Materials in Intensive Care Units via Convolutional Neural Networks: Technical Proof-of-Concept Study Open
Background High numbers of consumable medical materials (eg, sterile needles and swabs) are used during the daily routine of intensive care units (ICUs) worldwide. Although medical consumables largely contribute to total ICU hospital expen…