Lakhan Dev Sharma

According to our database, Lakhan Dev Sharma authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Cross Subject Myocardial Infarction Detection From Vectorcardiogram Signals Using Binary Harry Hawks Feature Selection and Ensemble Classifiers.

M. Krishna Chaitanya, Lakhan Dev Sharma

IEEE Access, 2024

2023

Multiclass CNN-based adaptive optimized filter for removal of impulse noise from digital images.

Amarjit Roy, Lakhan Dev Sharma, Alok Kumar Shukla

Vis. Comput., November, 2023

Automatic Glaucoma Detection from Fundus Images Using Deep Convolutional Neural Networks and Exploring Networks Behaviour Using Visualization Techniques.

Vijaya Kumar Velpula, Lakhan Dev Sharma

SN Comput. Sci., September, 2023

Cognitive load detection using Ci-SSA for EEG signal decomposition and nature-inspired feature selection.

Jammisetty Yedukondalu, Lakhan Dev Sharma

Turkish J. Electr. Eng. Comput. Sci., September, 2023

An improved cardiac arrhythmia classification using stationary wavelet transform decomposed short duration QRS segment and Bi-LSTM network.

Lakhan Dev Sharma, Jagdeep Rahul, Apeksha Aggarwal, Vijay Kumar Bohat

Multidimens. Syst. Signal Process., June, 2023

An Energy-Efficient Clustering Algorithm for Maximizing Lifetime of Wireless Sensor Networks using Machine Learning.

Kumar Debasis, Lakhan Dev Sharma, Vijay Kumar Bohat, Robin Singh Bhadoria

Mob. Networks Appl., April, 2023

Circulant Singular Spectrum Analysis and Discrete Wavelet Transform for Automated Removal of EOG Artifacts from EEG Signals.

Jammisetty Yedukondalu, Lakhan Dev Sharma

Sensors, February, 2023

Feed-Forward Deep Neural Network (FFDNN)-Based Deep Features for Static Malware Detection.

Priyanka Singh, Samir Kumar Borgohain, Achintya Kumar Sarkar, Jayendra Kumar, Lakhan Dev Sharma

Int. J. Intell. Syst., 2023

Automated multi-class classification of lung diseases from CXR-images using pre-trained convolutional neural networks.

Sahebgoud Hanamantray Karaddi, Lakhan Dev Sharma

Expert Syst. Appl., 2023

Cognitive load detection using circulant singular spectrum analysis and Binary Harris Hawks Optimization based feature selection.

Jammisetty Yedukondalu, Lakhan Dev Sharma

Biomed. Signal Process. Control., 2023

2022

Evolutionary inspired approach for mental stress detection using EEG signal.

Lakhan Dev Sharma, Vijay Kumar Bohat, Maria Habib, Ala' M. Al-Zoubi, Hossam Faris, Ibrahim Aljarah

Expert Syst. Appl., 2022

Minimized feature overhead malware detection machine learning model employing MRMR-based ranking.

Priyanka Singh, Samir Kumar Borgohain, Lakhan Dev Sharma, Jayendra Kumar

Concurr. Comput. Pract. Exp., 2022

Artificial intelligence-based approach for atrial fibrillation detection using normalised and short-duration time-frequency ECG.

Jagdeep Rahul, Lakhan Dev Sharma

Biomed. Signal Process. Control., 2022

Electrocardiogram signal filtering using circulant singular spectrum analysis and cascaded Savitzky-Golay filter.

M. Krishna Chaitanya, Lakhan Dev Sharma

Biomed. Signal Process. Control., 2022

2021

Cognitive performance detection using entropy-based features and lead-specific approach.

Lakhan Dev Sharma, Ritesh Kumar Saraswat, Ramesh Kumar Sunkaria

Signal Image Video Process., 2021

Digitisation of paper-ECG using column wise-median approach.

Priyanka Gautam, Ramesh Kumar Sunkaria, Lakhan Dev Sharma

Int. J. Comput. Appl. Technol., 2021

A novel and lightweight P, QRS, and T peaks detector using adaptive thresholding and template waveform.

Jagdeep Rahul, Marpe Sora, Lakhan Dev Sharma

Comput. Biol. Medicine, 2021

Dynamic thresholding based efficient QRS complex detection with low computational overhead.

Jagdeep Rahul, Marpe Sora, Lakhan Dev Sharma

Biomed. Signal Process. Control., 2021

2018

Inferior myocardial infarction detection using stationary wavelet transform and machine learning approach.

Lakhan Dev Sharma, Ramesh Kumar Sunkaria

Signal Image Video Process., 2018