IEEE AccessAccurate leaf disease detection via smartphone-based deep learning holds immense potential for mitigating global crop losses. However, significant deployment challenges persist when transitioning from controlled laboratory environments to real-world ...
Mohammad Junayed Hasan +2 more
doaj +1 more source
Utilizing data sampling techniques on algorithmic fairness for customer churn prediction with data imbalance problems. [PDF]
F1000Res, 2021 Maw M, Haw SC, Ho CK.
europepmc +1 more source
Developmental and Epileptic Encephalopathy due to Biallelic Pathogenic Variants in PIGM
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective PIGM encodes a critical enzyme in the glycosylphosphatidylinositol (GPI)‐anchor biosynthesis pathway. While promoter‐region mutations in PIGM have been associated with a relatively mild phenotype characterized by portal vein thrombosis and absence seizures, recent evidence suggests that coding‐region mutations result in a more severe
Júlia Sala‐Coromina +11 more
wiley +1 more source
ComputationIntrusion detection systems (IDSs) are critical for securing modern networks, particularly in IoT and IIoT environments where traditional defenses such as firewalls and encryption are insufficient against evolving cyber threats.
Doaa Mohsin Abd Ali Afraji +2 more
doaj +1 more source
Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images. [PDF]
Appl Soft Comput, 2021 Calderon-Ramirez S +6 more
europepmc +1 more source
A Systematic Review and Meta‐Analysis of the Recurrence of Autoimmune Encephalitis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Autoimmune encephalitis (AE) is a disease with a potential for recurrence, and patients receive immunotherapy to prevent it. However, there is no consensus on the duration of immunotherapy. This study aimed to determine the recurrence rate and identify the risk factors for AE to provide guidance on the duration of immunotherapy ...
Shangkai Bai +5 more
wiley +1 more source
Multidimensional Profiling of MRI‐Negative Temporal Lobe Epilepsy Uncovers Distinct Phenotypes
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Although hippocampal sclerosis (TLE‐HS) represents the most frequent cause of temporal lobe epilepsy (TLE), up to 30% of patients show no lesion on visual MRI inspection (TLE‐MRIneg). These cases pose diagnostic and therapeutic challenges and are underrepresented in surgical series.
Alice Ballerini +28 more
wiley +1 more source
Intelligent diagnosis method of rolling bearing based on BiGAN
Journal of Measurement Science and InstrumentationRolling bearing is a critical component in the rotating machinery, which directly affects the reliability of the equipment. The artificial intelligence-enabled bearing fault diagnosis model has achieved impressive successes over the years.
ZHANG Hao, GU Lichen, GUO Zichen
doaj
AD-CovNet: An exploratory analysis using a hybrid deep learning model to handle data imbalance, predict fatality, and risk factors in Alzheimer's patients with COVID-19. [PDF]
Comput Biol Med, 2022 Akter S +6 more
europepmc +1 more source
Location‐Specific Hematoma Volume Predicts Early Neurological Deterioration in Supratentorial ICH
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Early neurological deterioration (END) adversely affects outcomes in patients with intracerebral hemorrhage (ICH). This study aimed to determine the location‐specific hematoma volumes for END in supratentorial ICH patients. Methods We retrospectively analyzed supratentorial ICH patients presenting from two prospective cohorts.
Zuoqiao Li +10 more
wiley +1 more source