484 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of MalayaMY13 papers
- Institute of Physics, BhubaneshwarIN11 papers
- Panjab UniversityIN11 papers
- Homi Bhabha National InstituteIN7 papers
- Duy Tan UniversityVN5 papers
- Computational Physics (United States)US3 papers
- Indian Institute of Science Education and Research MohaliIN3 papers
- Instituto Tecnológico de AeronáuticaBR3 papers
- Punjabi UniversityIN3 papers
- Siksha O Anusandhan UniversityIN3 papers
- University of Petroleum and Energy StudiesIN3 papers
- Asia Pacific Center for Theoretical PhysicsKR2 papers
6 papers · 1 filter
PyNoetic: A modular python framework for no-code development of EEG brain-computer interfaces
Gursimran Singh, Aviral Chharia, Rahul Upadhyay +2
Electroencephalography (EEG)-based Brain-Computer Interfaces (BCIs) have emerged as a transformative technology with applications spanning robotics, virtual reality, medicine, and…
EEG based Emotion Recognition: A Tutorial and Review
Xiang Li, Yazhou Zhang, Prayag Tiwari +6
Emotion recognition technology through analyzing the EEG signal is currently an essential concept in Artificial Intelligence and holds great potential in emotional health care, hum…
Performance Dependency of LSTM and NAR Beamformers With Respect to Sensor Array Properties in V2I Scenario
Prateek Bhadauria, Ravi Kumar, Sanjay Sharma
Prediction and nullifying the interference is a challenging problem in vehicle to infrastructure scenarios . The implementation of practical V2I network is limited because of inevi…
Convolutional Neural Network-Bagged Decision Tree: A hybrid approach to reduce electric vehicle's driver's range anxiety by estimating energy consumption in real-time
Shatrughan Modi, Jhilik Bhattacharya, Prasenjit Basak
To overcome range anxiety problem of Electric Vehicles (EVs), an accurate real-time energy consumption estimation is necessary, which can be used to provide the EV's driver with in…
Estimation of energy consumption of electric vehicles using Deep Convolutional Neural Network to reduce driver's range anxiety
Shatrughan Modi, Jhilik Bhattacharya, Prasenjit Basak
The goal of this work is to reduce driver's range anxiety by estimating the real-time energy consumption of electric vehicles using deep convolutional neural network. The real-time…
Reduced Order Fractional Fourier Transform A New Variant to Fractional Signal Processing Definition and Properties
Sanjay Kumar
In this paper, a new variant to fractional signal processing is proposed known as the Reduced Order Fractional Fourier Transform. Various properties satisfied by its transformation…