Hybrid deep learning models for fake news detection: case study on Arabic and English languages
Study Overview The research focuses on the increasing challenge posed by fake news in the digital age, particularly examining its […]
Hybrid deep learning models for fake news detection: case study on Arabic and English languages
Study Overview This study investigates the effectiveness of hybrid deep learning models in detecting fake news across Arabic and English
The role of surveillance MRI scans in patients with sporadic cerebral cavernous malformations
Role of Surveillance MRI Surveillance MRI plays a pivotal role in the management of patients diagnosed with sporadic cerebral cavernous
Hybrid deep learning models for fake news detection: case study on Arabic and English languages
Study Overview The investigation focuses on the development and evaluation of hybrid deep learning models specifically designed for the detection
The role of surveillance MRI scans in patients with sporadic cerebral cavernous malformations
Role of Surveillance MRI Surveillance MRI plays a crucial role in the ongoing assessment of patients diagnosed with sporadic cerebral
Hybrid deep learning models for fake news detection: case study on Arabic and English languages
Study Overview This research focuses on the development of hybrid deep learning models aimed at detecting fake news, with a
Hybrid deep learning models for fake news detection: case study on Arabic and English languages
Model Architecture The design of the hybrid deep learning models for detecting fake news involves a combination of various architectures
Brain and circulating EV proteome signatures in schizophrenia as prognostic markers for age-related dementia
Prognostic Value of EV Proteome in Schizophrenia The examination of extracellular vesicles (EVs) in schizophrenia offers promising insights into the
The structural, functional, and neurophysiological connectome of mild traumatic brain injury: A DTI, fMRI and MEG multimodal clustering and data fusion study
Study Overview This research investigates mild traumatic brain injury (mTBI) utilizing advanced imaging techniques to explore the structural and functional
Natural product extracts for ischemic stroke: a methodological evaluation and meta-epidemiological analysis
Research Context The exploration of natural product extracts as potential therapeutic agents for ischemic stroke is situated within a broader