A Real-Time Automatic Plate Recognition System Based on Optical Character Recognition and Wireless Sensor Networks for ITS. [PDF]
Dalarmelina NDV +2 more
europepmc +1 more source
Network Localization of Fatigue in Multiple Sclerosis
ABSTRACT Background Fatigue is among the most common symptoms and one of the main factors determining the quality of life in multiple sclerosis (MS). However, the neurobiological mechanisms underlying fatigue are not fully understood. Here we studied lesion locations and their connections in individuals with MS, aiming to identify brain networks ...
Olli Likitalo +12 more
wiley +1 more source
Tabular context-aware optical character recognition and tabular data reconstruction for historical records. [PDF]
Singh LG, Middleton SE.
europepmc +1 more source
Synthesis of Common Arabic Handwritings to Aid Optical Character Recognition Research. [PDF]
Dinges L +3 more
europepmc +1 more source
Real‐World Investigation of Satralizumab in Patients With Neuromyelitis Optica Spectrum Disease
ABSTRACT Objective Satralizumab, a monoclonal antibody targeting the interleukin‐6 receptor, has demonstrated efficacy in clinical trials for neuromyelitis optica spectrum disorder (NMOSD). However, its real‐world effectiveness and safety compared to conventional immunosuppressive therapies remain uncertain.
Li‐Tsung Lin +2 more
wiley +1 more source
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah +7 more
wiley +1 more source
Optical Recognition of Isolated Machine Printed Sindhi Characters using Fourier Descriptors [PDF]
Nasreen Nizamani +5 more
openalex +1 more source
Automated compilation of Urdu poetry handwritten image datasets for optical character recognition. [PDF]
Ijaz I +6 more
europepmc +1 more source
The use of Optical Character Recognition (OCR) in the digitisation of herbarium specimen labels. [PDF]
Drinkwater RE, Cubey RW, Haston EM.
europepmc +1 more source

