Sinha Namrata Ieee Access May 2026
Here are the details of the prominent research paper matching those keywords:
signal processing, wireless communications, or machine learning applications
Namrata Sinha has contributed to IEEE Access , a multidisciplinary, open-access journal known for rapid peer review and high visibility. Her work typically focuses on (exact topic depends on the specific paper; below is a general template based on common themes in her publications). sinha namrata ieee access
Author:
: A researcher who received a "Travel Award" for the LSO Conference in 2025 under the guidance of Prof. Amber Srivastava and Prof. Prashant Palkar. Namrata Mendiratta Here are the details of the prominent research
: While the work was noted as "interesting and promising" by some reviewers, it faced specific technical concerns regarding bandwidth control and the ability of a single antenna to perform both polarizations simultaneously. 2. Academic Recognition at IIT Delhi A researcher named Namrata Sinha is listed in the IIT Delhi Annual Report (2024-2025) as a recipient of a Travel Award for the LSO Conference. Affiliation : She is guided by Professors Amber Srivastava Prashant Palkar Machine learning for signal processing: Namrata applies deep
- Machine learning for signal processing: Namrata applies deep learning and hybrid models to enhance signal interpretation and denoising in challenging environments.
- Edge and resource-constrained deployment: Several papers explore models optimized for low-power devices and real-time inference.
- Multimodal data fusion: Techniques for combining audio, sensor, and image streams to improve robustness in detection and classification tasks.
- Explainability and reliability: Emphasis on interpretable models and uncertainty estimation to make ML systems safer for deployment.
- Perception Layer: Physical sensors and actuators for data collection.
- Network Layer: Transmission of data via gateways, routers, and base stations.
- Middleware Layer: Acts as an interface between the hardware and the application, handling data filtering and aggregation.
- Application Layer: End-user interfaces (e.g., smart homes, smart cities).
- Business Layer: Management of overall IoT activities, services, and business models.