Harnessing the power of synthetic data in healthcare: innovation, application, and privacy
Data-driven decision-making in modern healthcare underpins innovation and predictive
analytics in public health and clinical research. Synthetic data has shown promise in finance …
analytics in public health and clinical research. Synthetic data has shown promise in finance …
A review of federated learning in intrusion detection systems for iot
Intrusion detection systems are evolving into intelligent systems that perform data analysis
searching for anomalies in their environment. The development of deep learning …
searching for anomalies in their environment. The development of deep learning …
A transfer learning-based CNN and LSTM hybrid deep learning model to classify motor imagery EEG signals
Abstract In the Motor Imagery (MI)-based Brain Computer Interface (BCI), users' intention is
converted into a control signal through processing a specific pattern in brain signals …
converted into a control signal through processing a specific pattern in brain signals …
Genetic correlations between Alzheimer's disease and gut microbiome genera
D Cammann, Y Lu, MJ Cummings, ML Zhang… - Scientific Reports, 2023 - nature.com
A growing body of evidence suggests that dysbiosis of the human gut microbiota is
associated with neurodegenerative diseases like Alzheimer's disease (AD) via …
associated with neurodegenerative diseases like Alzheimer's disease (AD) via …
[HTML][HTML] A novel stacking ensemble for detecting three types of diabetes mellitus using a Saudi Arabian dataset: pre-diabetes, T1DM, and T2DM
M Gollapalli, A Alansari, H Alkhorasani… - Computers in Biology …, 2022 - Elsevier
Glucose is the primary source of energy for cells, which are the building blocks of life. It is
given to the body by insulin that carries out the metabolic tasks that keep people alive …
given to the body by insulin that carries out the metabolic tasks that keep people alive …
[HTML][HTML] Product and service innovation: Comparison between performance and efficiency
J Shin, YJ Kim, S Jung, C Kim - Journal of Innovation & Knowledge, 2022 - Elsevier
With the increasing importance of services in the manufacturing industry, manufacturers
have been providing customers with packages that combine products and services. Such a …
have been providing customers with packages that combine products and services. Such a …
Applications of decision tree and random forest as tree-based machine learning techniques for analyzing the ultimate strain of spliced and non-spliced reinforcement …
The performance of both non-spliced and spliced steel bars significantly affects the overall
performance of structural reinforced concrete elements. In this context, the mechanical …
performance of structural reinforced concrete elements. In this context, the mechanical …
Assessment of punching shear strength of FRP-RC slab-column connections using machine learning algorithms
Recently, the use of fiber-reinforced polymer (FRP) bars replacing steel reinforcement has
been widely applied to overcome the corrosion issue, particularly concrete slab-column …
been widely applied to overcome the corrosion issue, particularly concrete slab-column …
Depression and fatigue in active IBD from a microbiome perspective—a Bayesian approach to faecal metagenomics
AK Thomann, T Wüstenberg, J Wirbel, LL Knoedler… - BMC medicine, 2022 - Springer
Background Extraintestinal symptoms are common in inflammatory bowel diseases (IBD)
and include depression and fatigue. These are highly prevalent especially in active disease …
and include depression and fatigue. These are highly prevalent especially in active disease …
On-site colorimetric food spoilage monitoring with smartphone embedded machine learning
Real-time and on-site food spoilage monitoring is still a challenging issue to prevent food
poisoning. At the onset of food spoilage, microbial and enzymatic activities lead to the …
poisoning. At the onset of food spoilage, microbial and enzymatic activities lead to the …