Sinha Namrata Ieee Access _hot_ -

Sinha’s work frequently fuses electrical engineering with biomedical or environmental sensing. An example paper might use wavelet transforms and support vector machines (SVM) to classify EEG signals for seizure detection. By publishing in IEEE Access , Sinha reaches both the signal processing community and the biomedical engineering community simultaneously, leveraging the journal’s multidisciplinary reach.

If you are preparing a report on why this researcher might have chosen IEEE Access for their work, the journal is known for: journal with an impact factor of : It offers rapid peer review, with a median of for a decision and 4–6 weeks to publication. Selectivity sinha namrata ieee access

: Evaluating how articles in IEEE Access influence subsequent research. If you are preparing a report on why

Namrata's work in IEEE Access was widely cited and recognized. Her paper, "A Novel Framework for AI-assisted Diagnosis of Neurological Disorders," was featured on the journal's cover. The publication sparked a flurry of interest in the research community, with experts from around the world reaching out to collaborate and explore potential applications. Her paper, "A Novel Framework for AI-assisted Diagnosis

: A recent publication detailing a compact antenna structure with high gain (up to 7.15 dBic) and excellent isolation for next-generation wireless systems. Related Publications (IEEE Xplore)

IEEE Access is a multidisciplinary, open-access journal covering all IEEE fields. : 3.6 (as of 2024 JCR reports).