Intrusion detection in software defined network using deep learning approaches. [PDF]
Ataa MS, Sanad EE, El-Khoribi RA.
europepmc +1 more source
ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou +16 more
wiley +1 more source
Software defined network intrusion system to detect malicious attacks in computer Internet of Things security using deep extractor supervised random forest technique. [PDF]
Mujahid M +4 more
europepmc +1 more source
Towards a Scalable Software Defined Network-on-Chip for Next Generation Cloud. [PDF]
Scionti A, Mazumdar S, Portero A.
europepmc +1 more source
ABSTRACT Objective To clarify the clinical relevance of dopamine transporter single‐photon emission computed tomography (DAT‐SPECT) abnormalities in amyotrophic lateral sclerosis (ALS), with a prespecified focus on sex‐stratified associations with disease progression and short‐term prognosis.
Tomoya Kawazoe +7 more
wiley +1 more source
Improving Software Defined Network controllers in a multi-vendor environment. [PDF]
Deneke BB, Beyene AM, Haile EA.
europepmc +1 more source
Smart bandwidth allocation for next generation networks adopting software-defined network approach. [PDF]
Bahnasse A +4 more
europepmc +1 more source
Early Recognition of Treatment‐Responsive Rapidly Progressive Dementia: The Modified STAM3mP Score
ABSTRACT Early identification of patients with treatment‐responsive rapidly progressive dementia (RPD) is important as early treatment improves outcomes. The STAM3P score identifies treatment‐responsive RPD using “high risk” presenting features. We optimized performance by adding a time component (i.e., dementia within 3 months) and validated the ...
R. W. van Steenhoven +16 more
wiley +1 more source
Adaptive Computing Optimization in Software-Defined Network-Based Industrial Internet of Things with Fog Computing. [PDF]
Wang J, Li D.
europepmc +1 more source
ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit +11 more
wiley +1 more source

