[PDF][PDF] Ensemble Machine Learning Based Identification of Pediatric Epilepsy.
SM Alotaibi, MI Basheer, MA Khan - Computers, Materials & …, 2021 - academia.edu
Epilepsy is a type of brain disorder that causes recurrent seizures. It is the second most
common neurological disease after Alzheimer's. The effects of epilepsy in children are …
common neurological disease after Alzheimer's. The effects of epilepsy in children are …
Machine learning empowered software defect prediction system
Production of high-quality software at lower cost has always been the main concern of
developers. However, due to exponential increases in size and complexity, the development …
developers. However, due to exponential increases in size and complexity, the development …
[PDF][PDF] Enhance intrusion detection in computer networks based on deep extreme learning machine.
Networks provide a significant function in everyday life, and cybersecurity therefore
developed a critical field of study. The Intrusion detection system (IDS) becoming an …
developed a critical field of study. The Intrusion detection system (IDS) becoming an …
[HTML][HTML] Hydrogen storage prediction in dibenzyltoluene as liquid organic hydrogen carrier empowered with weighted federated machine learning
The hydrogen stored in liquid organic hydrogen carriers (LOHCs) has an advantage of safe
and convenient hydrogen storage system. Dibenzyltoluene (DBT), due to its low …
and convenient hydrogen storage system. Dibenzyltoluene (DBT), due to its low …
Early Identification of COVID-19 Using Dynamic Fuzzy Rule Based System.
The undergoing research aims to address the problem of COVID-19 which has turned out to
be a global pandemic. Despite developing some successful vaccines, the pace has not …
be a global pandemic. Despite developing some successful vaccines, the pace has not …
[PDF][PDF] Cloud-based diabetes decision support system using machine learning fusion
Diabetes mellitus, generally known as diabetes, is one of the most common diseases
worldwide. It is a metabolic disease characterized by insulin deficiency, or glucose (blood …
worldwide. It is a metabolic disease characterized by insulin deficiency, or glucose (blood …
[PDF][PDF] IoMT-Based Smart Healthcare of Elderly People Using Deep Extreme Learning Machine
M Jarrah, H Al Hamadi, A Abu-Khadrah… - … , Materials & Continua, 2023 - cdn.techscience.cn
The Internet of Medical Things (IoMT) enables digital devices to gather, infer, and broadcast
health data via the cloud platform. The phenomenal growth of the IoMT is fueled by many …
health data via the cloud platform. The phenomenal growth of the IoMT is fueled by many …
[HTML][HTML] Optimizing diabetes classification with a machine learning-based framework
X Feng, Y Cai, R Xin - BMC bioinformatics, 2023 - Springer
Background Diabetes is a metabolic disorder usually caused by insufficient secretion of
insulin from the pancreas or insensitivity of cells to insulin, resulting in long-term elevated …
insulin from the pancreas or insensitivity of cells to insulin, resulting in long-term elevated …
Performance Analysis of Multiple Networks of Blockchain with Varying Transaction
H Iftikhar - International Journal of Advanced Sciences and …, 2022 - ijasc.com
ABSTRACT nowadays blockchain is becoming the main trend that provides distributed
applications without involving a third party. It also provides security to its users so there are …
applications without involving a third party. It also provides security to its users so there are …
Prediction of hydrogen generation from perhydro-dibenzyltoluene empowered with machine learning
Abstract The perhydro-dibenzyltoluene (H18-DBT) exhibits promising potential as a viable
option for hydrogen production purposes. There are several important features for hydrogen …
option for hydrogen production purposes. There are several important features for hydrogen …