EMI Shielding Materials Derived from PC/SAN Blends Containing Engineered Nanoparticles

Autor: Pawar, Shital Patangrao

In recent years, increased use of electronic devices and wireless operations resulted in unavoidable electromagnetic (EM) pollution which has a significant impact on civil and military sectors. Considering the foremost requirement, huge efforts were

Externí odkaz: http://etd.iisc.ernet.in/2005/3785
http://etd.iisc.ernet.in/abstracts/4656/G28321-Abs.pdf

The key role of processing in tuning nonlinear viscoelastic properties and microwave absorption in CNT-based polymer nanocomposites

Autor: Kamkar, Milad, Nourin Sultana, S.M., Patangrao Pawar, Shital, Eshraghian, Afrooz, Erfanian, Elnaz, Sundararaj, Uttandaraman ^*

Publikováno v: In Materials Today Communications September 2020 24

Dual functionality of hierarchical hybrid networks of multiwall carbon nanotubes anchored magnetite particles in soft polymer nanocomposites: Simultaneous enhancement in charge storage and microwave absorption

Autor: Pawar, Shital Patangrao, Melo, Guilherme, Sundararaj, Uttandaraman

Publikováno v: In Composites Science and Technology 20 October 2019 183

A Novel Stack Ensembled Approach for Emotion Recognition from EEG Signals: Performance and Robustness Analysis

Autor: Jadhav, Rohini B., Jadhav, Veena, Jadhav, Rohit, Molawade, Mayuri, Patil, Sheetal S., Pawar , Shital

Publikováno v: International Journal of Intelligent Systems and Applications in Engineering; Vol. 11 No. 7s (2023): Advancements in Machine Learning for Computer Science and Decision Support Systems; 236-242

Due to the complexity of electroencephalography signals' patterns, it is difficult to accurately identify emotions using EEG signals. In this paper, we present a novel approach that aims to improve the accuracy and reliability of emotion recognition

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=issn21476799::064650549612a36ca3832d7e0113e65e
https://www.ijisae.org/index.php/IJISAE/article/view/2949

Evaluation of quality of service parameters for MQTT communication in IoT application by using deep neural network

Autor: Pawar, Shital, Jadhav, D. B., Lokhande, Meghana, Raskar, Punam, Patil, Megha

Publikováno v: International Journal of Information Technology; February 2024, Vol. 16 Issue: 2 p1123-1136, 14p