eLife

Designing optimal perturbation inputs for system identification in neuroscience

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...
IEEE

Secure OTFS Transmission: A Theoretical Framework Based on Discriminatory Channel Estimation

Abstract: This letter investigates physical-layer security for orthogonal time frequency space (OTFS) systems under a discriminatory channel estimation (DCE) scheme that exploits the block-circulant ...
IEEE

Understanding Double Descent Using VC-Theoretical Framework

Abstract: In spite of many successful applications of deep learning (DL) networks, theoretical understanding of their generalization capabilities and limitations remains limited. We present analysis ...
Frontiers

Correction: Understanding acceptance and resistance toward generative AI technologies: a multi-theoretical framework integrating functional, risk, and sociolegal factors

The references for: Aydin and Sirkeci (2024), Hajj and Hammoud (2023), Ikpe, (2023), Jha, S (2023), Li (2024), Modgil, et al. (2021), Rahmani (2023), Rane et al ...
Journal of Medical Internet Research

A 4D Theoretical Framework for Measuring Topic-Specific Influence on Twitter: Development and Usability Study on Dietary Sodium Tweets

Objective: We aimed to develop a theoretical framework to measure topic-specific user influence on Twitter and to examine its usability by analyzing dietary sodium tweets to support public health ...