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20042026
most citedEEG based Emotion Recognition: A Tutorial and Review

484 citations

Showing 2021Show all

13 papers · 1 filter

cs.LG2021★ 2 cited

Recent Trends in Artificial Intelligence-inspired Electronic Thermal Management

Aviral Chharia, Nishi Mehta, Shivam Gupta +1

The rise of computation-based methods in thermal management has gained immense attention in recent years due to the ability of deep learning to solve complex 'physics' problems, wh…

cond-mat.supr-con2021★ 23 cited

Fermi arcs and pseudogap phase in a minimal microscopic model of -wave superconductivity

Dheeraj Kumar Singh, Samrat Kadge, Yunkyu Bang +1

We show conclusively that a pseudogap state can arise at , for reasonable pairing interaction strength, from order parameter fluctuations in a two dimensional minimal mode…

cs.LG2021

Entropy optimized semi-supervised decomposed vector-quantized variational autoencoder model based on transfer learning for multiclass text classification and generation

Shivani Malhotra, Vinay Kumar, Alpana Agarwal

Semisupervised text classification has become a major focus of research over the past few years. Hitherto, most of the research has been based on supervised learning, but its main…

cs.LG2021★ 31 cited

Multistep traffic speed prediction: A deep learning based approach using latent space mapping considering spatio-temporal dependencies

Shatrughan Modi, Jhilik Bhattacharya, Prasenjit Basak

Traffic management in a city has become a major problem due to the increasing number of vehicles on roads. Intelligent Transportation System (ITS) can help the city traffic manager…

nucl-th2021★ 21 cited

Crustal properties of a neutron star within an effective relativistic mean-field model

Vishal Parmar, H. C. Das, Ankit Kumar +2

We use the effective relativistic mean-field (E-RMF) model to study the crustal properties of the neutron star. The unified equations of state (EoS) are constructed using recently…

nucl-th2021★ 4 cited

Fusion dynamics of C+C reaction: An astrophysical interest within the relativistic mean-field approach

Shilpa Rana, Raj Kumar, M. Bhuyan

The C+C fusion reaction plays a significant role in the later phases of stellar evolution. For a better understanding of the evolution involved, one must understand t…

nucl-th2021★ 24 cited

Fusion cross section of the superheavy = 120 nuclei within the relativistic mean-field formalism

Shilpa Rana, Raj Kumar, M. Bhuyan

Present theoretical investigations aim to explore the fusion characteristics of various isotopes of Z=120 within the relativistic mean-field (RMF) formalism. We predict the most su…

nucl-th2021★ 3 cited

Structural and decay properties of nuclei appearing in the -decay chains of 120 within the relativistic mean-field formalism

N. Biswal, Nishu Jain, Raj Kumar +2

An extensive study of -decay half-lives for various decay chains of isotopes of = 120 is performed within the axially deformed relativistic mean-field (RMF) formalism by emp…

cs.CR2021★ 89 cited

Security in Next Generation Mobile Payment Systems: A Comprehensive Survey

Waqas Ahmed, Amir Rasool, Neeraj Kumar +4

Cash payment is still king in several markets, accounting for more than 90\ of the payments in almost all the developing countries. The usage of mobile phones is pretty ordinary in…

eess.IV2021★ 109 cited

FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia

Longling Zhang, Bochen Shen, Ahmed Barnawi +3

Existing deep learning technologies generally learn the features of chest X-ray data generated by Generative Adversarial Networks (GAN) to diagnose COVID-19 pneumonia. However, the…

cs.CL2021★ 1 cited

[RE] Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation

Haswanth Aekula, Sugam Garg, Animesh Gupta

Despite widespread use in natural language processing (NLP) tasks, word embeddings have been criticized for inheriting unintended gender bias from training corpora. programmer is m…

cs.LG2021★ 17 cited

Building Safer Autonomous Agents by Leveraging Risky Driving Behavior Knowledge

Ashish Rana, Avleen Malhi

Simulation environments are good for learning different driving tasks like lane changing, parking or handling intersections etc. in an abstract manner. However, these simulation en…

eess.SP2021★ 3 cited

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…