A Critical Review of Artificial Intelligence Based Approaches in Intrusion Detection: A Comprehensive Analysis
Intrusion detection (ID) is critical in securing computer networks against various malicious
attacks. Recent advancements in machine learning (ML), deep learning (DL), federated …
attacks. Recent advancements in machine learning (ML), deep learning (DL), federated …
[HTML][HTML] Towards revolutionizing precision healthcare: A systematic literature review of artificial intelligence methods in precision medicine
In the realm of medicine, artificial intelligence (AI) has emerged as a transformative force,
harnessing the power to convert raw data into meaningful insights. Rather than supplanting …
harnessing the power to convert raw data into meaningful insights. Rather than supplanting …
[HTML][HTML] An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning
Brain tumors are among the most fatal and devastating diseases, often resulting in
significantly reduced life expectancy. An accurate diagnosis of brain tumors is crucial to …
significantly reduced life expectancy. An accurate diagnosis of brain tumors is crucial to …
A novel and effective brain tumor classification model using deep feature fusion and famous machine learning classifiers
Brain tumors are difficult to treat and cause substantial fatalities worldwide. Medical
professionals visually analyze the images and mark out the tumor regions to identify brain …
professionals visually analyze the images and mark out the tumor regions to identify brain …
The impact of AI on teaching and learning in higher education technology
SV Singh, KK Hiran - Journal of Higher Education Theory and …, 2022 - articlearchives.co
Thanks to AI, students may now study whenever and wherever they like. Personalized
feedback on assignments, quizzes, and other assessments can be generated using AI …
feedback on assignments, quizzes, and other assessments can be generated using AI …
Handcrafted deep-feature-based brain tumor detection and classification using mri images
P Mohan, S Veerappampalayam Easwaramoorthy… - Electronics, 2022 - mdpi.com
An abnormal growth of cells in the brain, often known as a brain tumor, has the potential to
develop into cancer. Carcinogenesis of glial cells in the brain and spinal cord is the root …
develop into cancer. Carcinogenesis of glial cells in the brain and spinal cord is the root …
Combining CNN features with voting classifiers for optimizing performance of brain tumor classification
Simple Summary This study presents a hybrid model for brain tumor detection. Contrary to
manual featur extraction, features extracted from a convolutional neural network are used to …
manual featur extraction, features extracted from a convolutional neural network are used to …
Brain tumor detection using VGG19 model on adadelta and SGD optimizer
In both grown-ups and juvenile, brain tumors are the tenth most predominant cause of death
rate. There are many different sorts of tumors, and each one has extremely slim odds of …
rate. There are many different sorts of tumors, and each one has extremely slim odds of …
A novel approach for brain tumor classification using an ensemble of deep and hand-crafted features
One of the most severe types of cancer caused by the uncontrollable proliferation of brain
cells inside the skull is brain tumors. Hence, a fast and accurate tumor detection method is …
cells inside the skull is brain tumors. Hence, a fast and accurate tumor detection method is …
Multiple types of cancer classification using CT/MRI images based on learning without forgetting powered deep learning models
Cancer is the second biggest cause of death worldwide, accounting for one of every six
deaths. On the other hand, early detection of the disease significantly improves the chances …
deaths. On the other hand, early detection of the disease significantly improves the chances …