most citedTinyML: Tools, Applications, Challenges, and Future Research Directions

109 citations

5 papers

cs.LG2023★ 109 cited

TinyML: Tools, Applications, Challenges, and Future Research Directions

Rakhee Kallimani, Krishna Pai, Prasoon Raghuwanshi +2

In recent years, Artificial Intelligence (AI) and Machine learning (ML) have gained significant interest from both, industry and academia. Notably, conventional ML techniques requi…

eess.IV2023★ 7 cited

Machine learning based biomedical image processing for echocardiographic images

Ayesha Heena, Nagashettappa Biradar, Najmuddin M. Maroof +3

The popularity of Artificial intelligence and machine learning have prompted researchers to use it in the recent researches. The proposed method uses K-Nearest Neighbor (KNN) algor…

cs.NI2022★ 4 cited

Survey on Wireless Information Energy Transfer (WIET) and Related Applications in 6G Internet of NanoThings (IoNT)

Pragati Sharma, Rahul Jashvantbhai Pandya, Sridhar Iyer +1

This article contains an overview of WIET and the related applications in 6G IoNT. Specifically, to explore the following, we: (i) introduce the 6G network along with the implement…

cs.HC2022★ 3 cited

A Survey on Brain-Computer Interface and Related Applications

Krishna Pai, Rakhee Kallimani, Sridhar Iyer +3

BCI systems are able to communicate directly between the brain and computer using neural activity measurements without the involvement of muscle movements. For BCI systems to be wi…

cs.NI2022★ 76 cited

A Survey on Semantic Communications for Intelligent Wireless Networks

Sridhar Iyer, Rajashri Khanai, Dattaprasad Torse +5

With deployment of 6G technology, it is envisioned that competitive edge of wireless networks will be sustained and next decade's communication requirements will be stratified. Als…