[PDF][PDF] Brain Tumor Identification Using Data Augmentation and Transfer Learning Approach.
A brain tumor is a lethal neurological disease that affects the average performance of the
brain and can be fatal. In India, around 15 million cases are diagnosed yearly. To mitigate …
brain and can be fatal. In India, around 15 million cases are diagnosed yearly. To mitigate …
GIWRF-SMOTE: Gini impurity-based weighted random forest with SMOTE for effective malware attack and anomaly detection in IoT-Edge
J Manokaran, G Vairavel - Smart Science, 2023 - Taylor & Francis
ABSTRACT The Internet of Things (IoT) is a smart technology that has switched the
conventional way of living into smart living. As their usage becomes unavoidable, malware …
conventional way of living into smart living. As their usage becomes unavoidable, malware …
Learning multi-modal brain tumor segmentation from privileged semi-paired MRI images with curriculum disentanglement learning
Since the brain is the human body's primary command and control center, brain cancer is
one of the most dangerous cancers. Automatic segmentation of brain tumors from multi …
one of the most dangerous cancers. Automatic segmentation of brain tumors from multi …
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 …
Robust Gaussian and nonlinear hybrid invariant clustered features aided approach for speeded brain tumor diagnosis
Brain tumors reduce life expectancy due to the lack of a cure. Moreover, their diagnosis
involves complex and costly procedures such as magnetic resonance imaging (MRI) and …
involves complex and costly procedures such as magnetic resonance imaging (MRI) and …
Microbial Colony Detection Based on Deep Learning
In clinical drug sensitivity experiments, it is necessary to plate culture pathogenic bacteria
and pick suitable colonies for bacterial solution preparation, which is a process that is …
and pick suitable colonies for bacterial solution preparation, which is a process that is …
Wind speed prediction using machine learning techniques
N Pati, MK Gourisaria, H Das… - 2023 11th International …, 2023 - ieeexplore.ieee.org
Wind energy is a free source of renewable energy. In order to ensure that the wind energy is
utilized to its maximum extent, the wind energy potential must be evaluated. For this, we …
utilized to its maximum extent, the wind energy potential must be evaluated. For this, we …
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] An ensemble-based stage-prediction machine learning approach for classifying fetal disease
D Dash, M Kumar - Healthcare Analytics, 2024 - Elsevier
Fetal diseases often lead to the death of many babies during pregnancies. Machine learning
and deep learning are promising technologies providing efficient and effective detection and …
and deep learning are promising technologies providing efficient and effective detection and …
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 …