[HTML][HTML] Ensemble learning for disease prediction: A review
Machine learning models are used to create and enhance various disease prediction
frameworks. Ensemble learning is a machine learning technique that combines multiple …
frameworks. Ensemble learning is a machine learning technique that combines multiple …
Performance evaluation of support vector machine for system level multi-fault diagnosis
RK Mishra, A Choudhary, AR Mohanty… - 2022 Prognostics and …, 2022 - ieeexplore.ieee.org
Rotating elements are the essential part of various industries. Progressive degradation of
rotating parts leads to system failure and economic losses. Several studies have been …
rotating parts leads to system failure and economic losses. Several studies have been …
[HTML][HTML] Semantic analysis and topic modelling of web-scrapped COVID-19 tweet corpora through data mining methodologies
The evolution of the coronavirus (COVID-19) disease took a toll on the social, healthcare,
economic, and psychological prosperity of human beings. In the past couple of months …
economic, and psychological prosperity of human beings. In the past couple of months …
[HTML][HTML] Heterogeneous subpopulations of GABAAR-responding neurons coexist across neuronal network scales and developmental stages in health and disease
Gamma-aminobutyric acid (GABA) is the main inhibitory neurotransmitter in adults.
Depolarizing GABA responses have been well characterized at neuronal-population …
Depolarizing GABA responses have been well characterized at neuronal-population …
Performance enhancement of animal species classification using deep learning
MK Gourisaria, U Singh, V Singh, A Sharma - International Conference on …, 2022 - Springer
Automatic recognition of animal classes by their imageries is an imperative and perplexing
task, especially with different animal breeds. Many image classification systems have been …
task, especially with different animal breeds. Many image classification systems have been …
Deep learning based approach for milk quality prediction
This study aimed to find out what factors have the biggest impact on milk quality. We looked
at 9 different variables including pH, temperature, taste, odor, fat, turbidity, color, and grade …
at 9 different variables including pH, temperature, taste, odor, fat, turbidity, color, and grade …
[HTML][HTML] Feature selection using differential evolution for microarray data classification
The dimensions of microarray datasets are very large, containing noise and redundancy.
The problem with microarray datasets is the presence of more features compared to the …
The problem with microarray datasets is the presence of more features compared to the …
[HTML][HTML] A pragmatic ensemble learning approach for rainfall prediction
S Ghosh, MK Gourisaria, B Sahoo, H Das - Discover Internet of Things, 2023 - Springer
Heavy rainfall and precipitation play a massive role in shaping the socio-agricultural
landscape of a country. Being one of the key indicators of climate change, natural disasters …
landscape of a country. Being one of the key indicators of climate change, natural disasters …
Spam email assessment using machine learning and data mining approach
U Singh, V Singh, MK Gourisaria… - 2022 Fifth International …, 2022 - ieeexplore.ieee.org
Electronic mail is a crucial means of communication, used in both formal and informal ways.
Unnecessary communications sent in bulk over the Internet or through any electronic …
Unnecessary communications sent in bulk over the Internet or through any electronic …
[HTML][HTML] A comparative evaluation of machine learning ensemble approaches for disease prediction using multiple datasets
Purpose Machine learning models are used to develop and improve various disease
prediction systems. Ensemble learning is a machine learning technique that combines many …
prediction systems. Ensemble learning is a machine learning technique that combines many …