[HTML][HTML] A review on machine learning approaches in identification of pediatric epilepsy
Epilepsy is the second most common neurological disease after Alzheimer. It is a disorder of
the brain which results in recurrent seizures. Though the epilepsy in general is considered …
the brain which results in recurrent seizures. Though the epilepsy in general is considered …
[HTML][HTML] Data mining approach to predict success of secondary school students: A Saudi Arabian case study
AS Alghamdi, A Rahman - Education Sciences, 2023 - mdpi.com
A problem that pervades throughout students' careers is their poor performance in high
school. Predicting students' academic performance helps educational institutions in many …
school. Predicting students' academic performance helps educational institutions in many …
[HTML][HTML] IoMT-based osteosarcoma cancer detection in histopathology images using transfer learning empowered with blockchain, fog computing, and edge …
Bone tumors, such as osteosarcomas, can occur anywhere in the bones, though they
usually occur in the extremities of long bones near metaphyseal growth plates …
usually occur in the extremities of long bones near metaphyseal growth plates …
[HTML][HTML] Kidney cancer prediction empowered with blockchain security using transfer learning
Kidney cancer is a very dangerous and lethal cancerous disease caused by kidney tumors
or by genetic renal disease, and very few patients survive because there is no method for …
or by genetic renal disease, and very few patients survive because there is no method for …
[HTML][HTML] Oral squamous cell carcinoma detection using EfficientNet on histopathological images
E Albalawi, A Thakur, MT Ramakrishna… - Frontiers in …, 2024 - frontiersin.org
Introduction Oral Squamous Cell Carcinoma (OSCC) poses a significant challenge in
oncology due to the absence of precise diagnostic tools, leading to delays in identifying the …
oncology due to the absence of precise diagnostic tools, leading to delays in identifying the …
[PDF][PDF] An Overview of Self-Adaptive Differential Evolution Algorithms with Mutation Strategy.
D AlKhulaifi, M AlQahtani, Z AlSadeq… - Mathematical …, 2022 - researchgate.net
Received: 24 Janurary 2022 Accepted: 2 August 2022 Differential Evolution (DE) is a widely
used global searching algorithm that solves realworld optimization problems. It is …
used global searching algorithm that solves realworld optimization problems. It is …
[HTML][HTML] Early diagnosis of oral squamous cell carcinoma based on histopathological images using deep and hybrid learning approaches
Oral squamous cell carcinoma (OSCC) is one of the most common head and neck cancer
types, which is ranked the seventh most common cancer. As OSCC is a histological tumor …
types, which is ranked the seventh most common cancer. As OSCC is a histological tumor …
Systematic exo-endo encapsulation of hydroxyurea (HU) by Cu, Ag, and Au-doped gallium nitride nanotubes (GaNNT) for smart therapeutic delivery
Similar to the more well-known carbon nanotubes, gallium nitride nanotubes (GaNNT) are
among the materials that scientists have found to be extremely helpful in transporting drugs …
among the materials that scientists have found to be extremely helpful in transporting drugs …
An explainable deep learning approach for oral cancer detection
With a high death rate, oral cancer is a major worldwide health problem, particularly in low-
and middle-income nations. Timely detection and diagnosis are crucial for effective …
and middle-income nations. Timely detection and diagnosis are crucial for effective …
IoMT‐Based Mitochondrial and Multifactorial Genetic Inheritance Disorder Prediction Using Machine Learning
A genetic disorder is a serious disease that affects a large number of individuals around the
world. There are various types of genetic illnesses, however, we focus on mitochondrial and …
world. There are various types of genetic illnesses, however, we focus on mitochondrial and …