Steroid profiling in adrenal disease
D Mu, D Sun, X Qian, X Ma, L Qiu, X Cheng, S Yu - Clinica Chimica Acta, 2024 - Elsevier
The measurement of steroid hormones in blood and urine, which reflects steroid
biosynthesis and metabolism, has been recognized as a valuable tool for identifying and …
biosynthesis and metabolism, has been recognized as a valuable tool for identifying and …
Medical Defense Nanorobots (MDNRs): a new evaluation and selection of controller criteria for improved disease diagnosis and patient safety using NARMA (L2) …
This article addresses the complexity of optimizing movements in Medical Defense
Nanorobots (MDNRs) by proposing a novel integration approach. The challenge lies in …
Nanorobots (MDNRs) by proposing a novel integration approach. The challenge lies in …
Sentiment analysis of Canadian maritime case law: a sentiment case law and deep learning approach
Historical information in the Canadian Maritime Judiciary increases with time because of the
need to archive data to be utilized in case references and for later application when …
need to archive data to be utilized in case references and for later application when …
Machine learning in the identification of phenotypes of multiple sclerosis patients
P Jeyananthan - International Journal of Information Technology, 2024 - Springer
Multiple sclerosis (MS) is a complex disease affecting the central nervous system, mainly in
young adults. Even though there is no cure for this disease, correct phenotype identification …
young adults. Even though there is no cure for this disease, correct phenotype identification …
Evaluation of a 3-DOF helicopter dynamic control model using FOPID controller-based three optimization algorithms
This paper discusses the performance comparison of three advanced AI methodologies,
namely: Harris Hawks Optimization (HHO), Hybrid Sperm Swarm Optimization Gravitational …
namely: Harris Hawks Optimization (HHO), Hybrid Sperm Swarm Optimization Gravitational …
Comparative Analysis of Event Detection in Video Sequences using Adaptive Nature-Inspired PBCDNN, Ensemble FS-Linear MSVM and CNN Techniques
Nowadays, the computer vision (CV) society has defined a strong interest in the current
growth of event detection and classification in UCF-101 dataset videos. UCF-101 dataset …
growth of event detection and classification in UCF-101 dataset videos. UCF-101 dataset …