Inferior myocardial infarction detection using stationary wavelet transform and machine learning approach. - Lakhan Dev Sharma; Ramesh Kumar Sunkaria (Signal Image Video Process., 2018)

Dynamic thresholding based efficient QRS complex detection with low computational overhead. - Jagdeep Rahul; Marpe Sora; Lakhan Dev Sharma (Biomed. Signal Process. Control., 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)

Digitisation of paper-ECG using column wise-median approach. - Priyanka Gautam; Ramesh Kumar Sunkaria; Lakhan Dev Sharma (Int. J. Comput. Appl. Technol., 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)

Electrocardiogram signal filtering using circulant singular spectrum analysis and cascaded Savitzky-Golay filter. - M. Krishna Chaitanya; Lakhan Dev Sharma (Biomed. Signal Process. Control., 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)

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)

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)

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)

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)

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)

Circulant Singular Spectrum Analysis and Discrete Wavelet Transform for Automated Removal of EOG Artifacts from EEG Signals. - Jammisetty Yedukondalu; Lakhan Dev Sharma (Sensors, 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., 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., 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., 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., 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., 2023)

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)

Glaucoma detection with explainable AI using convolutional neural networks based feature extraction and machine learning classifiers. - Vijaya Kumar Velpula; Diksha Sharma; Lakhan Dev Sharma; Amarjit Roy; Manas Kamal Bhuyan; Sultan Alfarhood; Mejdl S. Safran (IET Image Process., 2024)

EEG-based detection of cognitive load using VMD and LightGBM classifier. - Prince Jain; Jammisetty Yedukondalu; Himanshu Chhabra; Urvashi Chauhan; Lakhan Dev Sharma (Int. J. Mach. Learn. Cybern., 2024)

Cognitive load detection using adaptive/fixed-frequency empirical wavelet transform and multi-domain feature optimization. - Jammisetty Yedukondalu; Lakhan Dev Sharma; Abhijit Bhattacharyya (Biomed. Signal Process. Control., 2025)

Advancements in AI for cardiac arrhythmia detection: A comprehensive overview. - Jagdeep Rahul; Lakhan Dev Sharma (Comput. Sci. Rev., 2025)

Cross-Subject Emotion Recognition From Multichannel EEG Signals Using Multivariate Decomposition and Ensemble Learning. - Raveendrababu Vempati; Lakhan Dev Sharma; Rajesh Kumar Tripathy (IEEE Trans. Cogn. Dev. Syst., 2025)

Classification of lung disorders in chest multi-modal images using hyper-Parameter tuning and modified ResNet50. - Sahebgoud Hanamantray Karaddi; Lakhan Dev Sharma (Multim. Tools Appl., 2025)