Using misclassified training samples to improve classification. - Ram Balasubramanian; Sreeraman Rajan; Rajamani Doraiswami; Maryhelen Stevenson (SMC, 1998)

Efficient Approximations for the Four-Quadrant Arctangent Function. - Sreeraman Rajan; Sichun Wang; Robert J. Inkol (CCECE, 2006)

Performance Comparison of the FFT Filter Bank-Based Majority and Median CFAR Detectors. - Sichun Wang; Robert J. Inkol; Sreeraman Rajan (CCECE, 2006)

Unsupervised and Uncued Segmentation of the Fundamental Heart Sounds in Phonocardiograms Using a Time-Scale Representation. - Sreeraman Rajan; Erin Budd; Maryhelen Stevenson; Rajamani Doraiswami (EMBC, 2006)

Efficient approximations for the arctangent function. - Sreeraman Rajan; Sichun Wang; Robert J. Inkol; Alain Joyal (IEEE Signal Process. Mag., 2006)

Cyclostationarity-based Algorithm for Blind Recognition of OFDM and Single Carrier Linear Digital Modulations. - Anjana Punchihewa; Octavia A. Dobre; Sreeraman Rajan; Robert J. Inkol (PIMRC, 2007)

A Novel Algorithm for Blind Recognition of M-ary Frequency Shift Keying Modulation. - Octavia A. Dobre; Sreeraman Rajan; Robert J. Inkol (WCNC, 2007)

The nth-order cyclostationarity of OFDM signals in time dispersive channels. - Anjana Punchihewa; Octavia A. Dobre; Q. Zhang; Sreeraman Rajan; Robert J. Inkol (ACSCC, 2008)

Second-Order Cyclostationarity of Cyclically Prefixed Single Carrier Linear Digital Modulations with Applications to Signal Recognition. - Octavia A. Dobre; Qiyun Zhang; Sreeraman Rajan; Robert J. Inkol (GLOBECOM, 2008)

Exploitation of First-Order Cyclostationarity for Joint Signal Detection and Classification in Cognitive Radio. - Octavia A. Dobre; Sreeraman Rajan; Robert J. Inkol (VTC Fall, 2008)

On the Cyclostationarity of OFDM and Single Carrier Linearly Digitally Modulated Signals in Time Dispersive Channels with Applications to Modulation Recognition. - Octavia A. Dobre; Anjana Punchihewa; Sreeraman Rajan; Robert J. Inkol (WCNC, 2008)

Impact of a finite ground plane on the accuracy of conventional wideband direction finding systems for signals of unknown polarization. - Simon Henault; Yahia M. M. Antar; Sreeraman Rajan; Robert J. Inkol; Sichun Wang (CCECE, 2009)

Impact of experimental calibration on the performance of conventional direction finders. - Simon Henault; Yahia M. M. Antar; Sreeraman Rajan; Robert J. Inkol; Sichun Wang (CCECE, 2009)

Comparison of two angle of arrival averaging strategies. - Sichun Wang; Robert J. Inkol; Sreeraman Rajan; François Patenaude (CCECE, 2009)

Numerical computation of the normalized detection threshold for the FFT J-out-of-L detector. - Sichun Wang; Robert J. Inkol; Sreeraman Rajan; François Patenaude (CCECE, 2009)

On the second-order cyclostationarity for joint signal detection and classification in cognitive radio systems. - Qiyun Zhang; Octavia A. Dobre; Sreeraman Rajan; Robert J. Inkol (CCECE, 2009)

Joint Signal Detection and Classification Based on First-Order Cyclostationarity For Cognitive Radios. - Octavia A. Dobre; Sreeraman Rajan; Robert J. Inkol (EURASIP J. Adv. Signal Process., 2009)

On the Performance Gain of the FFT Filter-Bank-Based Summation and Majority CFAR Detectors. - Sichun Wang; Robert J. Inkol; Sreeraman Rajan; François Patenaude (IEEE Trans. Instrum. Meas., 2009)

Strategies for improving angle of arrival accuracy in direction finding systems. - Sichun Wang; Robert J. Inkol; Sreeraman Rajan; François Patenaude (CCECE, 2010)

The Okamoto lower bound for the normalized detection threshold of the FFT filter bank-based summation detector. - Sichun Wang; Robert J. Inkol; Sreeraman Rajan; François Patenaude (CCECE, 2010)

Cyclostationarity Approach for the Recognition of Cyclically Prefixed Single Carrier Signals in Cognitive Radio. - Qiyun Zhang; Octavia A. Dobre; Sreeraman Rajan; Robert J. Inkol; Erchin Serpedin (ICC, 2010)

Measurement of Heart Rate Variability Using an Oscillometric Blood Pressure Monitor. - Saif Ahmad; Miodrag Bolic; Hilmi R. Dajani; Voicu Groza; Izmail Batkin; Sreeraman Rajan (IEEE Trans. Instrum. Meas., 2010)

Detection of Narrow-Band Signals Through the FFT and Polyphase FFT Filter Banks: Noncoherent Versus Coherent Integration. - Sichun Wang; Robert J. Inkol; Sreeraman Rajan; François Patenaude (IEEE Trans. Instrum. Meas., 2010)

On the Cyclostationarity of OFDM and Single Carrier Linearly Digitally Modulated Signals in Time Dispersive Channels: Theoretical Developments and Application. - Anjana Punchihewa; Qiyun Zhang; Octavia A. Dobre; Chad M. Spooner; Sreeraman Rajan; Robert J. Inkol (IEEE Trans. Wirel. Commun., 2010)

Numerical computation of the probability density of the phase error of the FFT-based digital interferometer. - Sichun Wang; Robert J. Inkol; François Patenaude; Sreeraman Rajan (CCECE, 2011)

A comparison of the normalized detection threshold for the overlapped and non-overlapped FFT summation detectors. - Sichun Wang; Robert J. Inkol; Sreeraman Rajan; François Patenaude (CCECE, 2011)

Blood pressure estimation using oscillometric pulse morphology. - Majid Mafi; Sreeraman Rajan; Miodrag Bolic; Voicu Z. Groza; Hilmi R. Dajani (EMBC, 2011)

Computation of the normalized detection threshold for the FFT summation detector through eigenvalue sequence truncation. - Sichun Wang; Robert J. Inkol; François Patenaude; Sreeraman Rajan (MILCOM, 2011)

Extraction of Breathing Signal and Suppression of Its Effects in Oscillometric Blood Pressure Measurement. - Silu Chen 002; Miodrag Bolic; Voicu Groza; Hilmi R. Dajani; Izmail Batkin; Sreeraman Rajan (IEEE Trans. Instrum. Meas., 2011)

Feature-Based Neural Network Approach for Oscillometric Blood Pressure Estimation. - Mohamad Forouzanfar; Hilmi R. Dajani; Voicu Z. Groza; Miodrag Bolic; Sreeraman Rajan (IEEE Trans. Instrum. Meas., 2011)

Confidence Interval Estimation for Oscillometric Blood Pressure Measurements Using Bootstrap Approaches. - Soojeong Lee; Miodrag Bolic; Voicu Z. Groza; Hilmi R. Dajani; Sreeraman Rajan (IEEE Trans. Instrum. Meas., 2011)

Blood pressure estimation using maximum slope of oscillometric pulses. - Majid Mafi; Sreeraman Rajan; Miodrag Bolic; Voicu Z. Groza; Hilmi R. Dajani (EMBC, 2012)

Mathematical modeling and parameter estimation of blood pressure oscillometric waveform. - Mohamad Forouzanfar; Balakumar Balasingam; Hilmi R. Dajani; Voicu Z. Groza; Miodrag Bolic; Sreeraman Rajan; Emil M. Petriu (MeMeA, 2012)

Cyclostationarity-Based Robust Algorithms for QAM Signal Identification. - Octavia A. Dobre; Menguc Oner; Sreeraman Rajan; Robert J. Inkol (IEEE Commun. Lett., 2012)

Effects of Mutual Coupling on the Accuracy of Adcock Direction Finding Systems. - Simon Henault; Yahia M. M. Antar; Sreeraman Rajan; Robert J. Inkol; Sichun Wang (IEEE Trans. Aerosp. Electron. Syst., 2012)

Morphological detectors for Radar ELINT applications. - J. F. Rivest; Sreeraman Rajan (I2MTC, 2013)

Received Signal Strength-Based Emitter Geolocation Using an Iterative Maximum Likelihood Approach. - Sichun Wang; Brad R. Jackson; Sreeraman Rajan; François Patenaude (MILCOM, 2013)

Oscillometric Blood Pressure Estimation Based on Maximum Amplitude Algorithm Employing Gaussian Mixture Regression. - Soojeong Lee; Joon-Hyuk Chang; Sang Won Nam; Chungsoo Lim; Sreeraman Rajan; Hilmi R. Dajani; Voicu Z. Groza (IEEE Trans. Instrum. Meas., 2013)

Second-Order Cyclostationarity of BT-SCLD Signals: Theoretical Developments and Applications to Signal Classification and Blind Parameter Estimation. - Qiyun Zhang; Octavia A. Dobre; Yahia A. Eldemerdash; Sreeraman Rajan; Robert J. Inkol (IEEE Trans. Wirel. Commun., 2013)

Model of human breathing reflected signal received by PN-UWB radar. - Mohamed Mabrouk; Sreeraman Rajan; Miodrag Bolic; Izmail Batkin; Hilmi R. Dajani; Voicu Z. Groza (EMBC, 2014)

Ratio-Independent Blood Pressure Estimation by Modeling the Oscillometric Waveform Envelope. - Mohamad Forouzanfar; Hilmi R. Dajani; Voicu Z. Groza; Miodrag Bolic; Sreeraman Rajan; Izmail Batkin (IEEE Trans. Instrum. Meas., 2014)

Estimated confidence interval from single blood pressure measurement based on algorithmic fusion. - Soojeong Lee; Sreeraman Rajan; Chee-Hyun Park; Joon-Hyuk Chang; Hilmi R. Dajani; Voicu Z. Groza (Comput. Biol. Medicine, 2015)

Theoretical results for sparse signal recovery with noises using generalized OMP algorithm. - Bo Li 118; Yi Shen 001; Sreeraman Rajan; Thia Kirubarajan (Signal Process., 2015)

Robust Matched Filtering in ℓp-Space. - Xue Jiang 001; Wen-Jun Zeng; Hing-Cheung So; Sreeraman Rajan; Thiagalingam Kirubarajan (IEEE Trans. Signal Process., 2015)

Time-frequency based contactless estimation of vital signs of human while walking using PMCW radar. - Isar Nejadgholi; Sreeraman Rajan; Miodrag Bolic (HealthCom, 2016)

Model-based filtering and compression of oscillometric blood pressure pulses. - David Abolarin; Mohamad Forouzanfar; Voicu Z. Groza; Sreeraman Rajan; Hilmi R. Dajani; Emil M. Petriu (MeMeA, 2016)

Human Breathing Rate Estimation from Radar Returns Using Harmonically Related Filters. - Mohamed Mabrouk; Sreeraman Rajan; Miodrag Bolic; Mohamad Forouzanfar; Hilmi R. Dajani; Izmail Batkin (J. Sensors, 2016)

Wirtinger Flow Method With Optimal Stepsize for Phase Retrieval. - Xue Jiang 001; Sreeraman Rajan; Xingzhao Liu (IEEE Signal Process. Lett., 2016)

Passive tracking in heavy clutter with sensor location uncertainty. - Yunfei Guo; Ratnasingham Tharmarasa; Sreeraman Rajan; Taek Lyul Song; Thia Kirubarajan (IEEE Trans. Aerosp. Electron. Syst., 2016)

A Greedy Data Association Technique for Multiple Object Tracking. - Gurinderbeer Singh; Sreeraman Rajan; Shikharesh Majumdar (BigMM, 2017)

Classification of the quality of wristband-based photoplethysmography signals. - Nikhilesh Pradhan; Sreeraman Rajan; Andy Adler; Calum Redpath (MeMeA, 2017)

Principal component analysis-based occupancy detection with ultra wideband radar. - Zachary Baird; Isuru Gunasekara; Miodrag Bolic; Sreeraman Rajan (MWSCAS, 2017)

MapReduce-based techniques for multiple object tracking in video analytics. - Gurinderbeer Singh; Shikharesh Majumdar; Sreeraman Rajan (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Oscillometric blood pressure estimation by combining nonparametric bootstrap with Gaussian mixture model. - Soojeong Lee; Sreeraman Rajan; Gwanggil Jeon; Joon-Hyuk Chang; Hilmi R. Dajani; Voicu Z. Groza (Comput. Biol. Medicine, 2017)

Projection matrix design using prior information in compressive sensing. - Bo Li 118; Liang Zhang 036; Thia Kirubarajan; Sreeraman Rajan (Signal Process., 2017)

A projection matrix design method for MSE deduction in adaptive compressive sensing. - Bo Li 118; Liang Zhang 036; Thia Kirubarajan; Sreeraman Rajan (Signal Process., 2017)

Blind Compressive-Sensing-Based Electronic Warfare Receiver. - Soheil Salari; Il-Min Kim 001; François Chan; Sreeraman Rajan (IEEE Trans. Aerosp. Electron. Syst., 2017)

Event Recognition for Contactless Activity Monitoring Using Phase-Modulated Continuous Wave Radar. - Mohamad Forouzanfar; Mohamed Mabrouk; Sreeraman Rajan; Miodrag Bolic; Hilmi R. Dajani; Voicu Z. Groza (IEEE Trans. Biomed. Eng., 2017)

Estimation of Frequency of a Sinusoid from Compressive Sensing Measurements. - Yiu-Tong Chan; François Chan; Sreeraman Rajan (CCECE, 2018)

Classification of Human Posture from Radar Returns Using Ultra-Wideband Radar. - Zachary Baird; Sreeraman Rajan; Miodrag Bolic (EMBC, 2018)

Effect of body posture on non-fiducial electrocardiogram based biometrie system. - Mohamed Abdelazez; Shreyas Sreeraman; Sreeraman Rajan; Adrian D. C. Chan (I2MTC, 2018)

Auto-Resource Provisioning for MapReduce-Based Multiple Object Tracking in Video. - Gurinderbeer Singh; Shikharesh Majumdar; Sreeraman Rajan (ICDCN, 2018)

Geolocation of Mobile Objects from Multiple UAV Optical Sensor Platforms. - Peter Carniglia; Bhashyam Balaji; Sreeraman Rajan (IEEE SENSORS, 2018)

Single Channel Continuous Wave Doppler Radar for Differentiating Types of Human Activity. - Julio J. Valdés; Zachary Baird; Sreeraman Rajan; Miodrag Bolic (IJCNN, 2018)

Improvement of Recovery in Segmentation-Based Parallel Compressive Sensing. - Dipayan Mitra; Hadi Zanddizari; Sreeraman Rajan (ISSPIT, 2018)

Detection of Noise Type in Electrocardiogram. - Mohamed Abdelazez; Sreeraman Rajan; Adrian D. C. Chan (MeMeA, 2018)

Detection of Abnormal Heartbeats in Compressed Electrocardiograms. - Mohamed Abdelazez; Sreeraman Rajan; Adrian D. C. Chan (MeMeA, 2018)

Improvement of Signal Quality During Recovery of Compressively Sensed ECG Signals. - Dipayan Mitra; Hadi Zanddizari; Sreeraman Rajan (MeMeA, 2018)

A Fast-Iterative Data Association Technique for Multiple Object Tracking. - Gurinderbeer Singh; Sreeraman Rajan; Shikharesh Majumdar (Int. J. Semantic Comput., 2018)

Estimating Correlation Coefficients for Quantum Radar and Noise Radar: A Simulation Study. - David Luong; Sreeraman Rajan; Bhashyam Balaji (GlobalSIP, 2019)

Logistic Model Tree for Human Activity Recognition Using Smartphone-Based Inertial Sensors. - Heba Nematallah; Sreeraman Rajan; A.-M. Cret (IEEE SENSORS, 2019)

Residual Network-Based Supervised Learning of Remotely Sensed Fall Incidents using Ultra-Wideband Radar. - Hamidreza Sadreazami; Miodrag Bolic; Sreeraman Rajan (ISCAS, 2019)

TL-FALL: Contactless Indoor Fall Detection Using Transfer Learning from a Pretrained Model. - Hamidreza Sadreazami; Miodrag Bolic; Sreeraman Rajan (MeMeA, 2019)

Analysis of lightwave system using negative dispersion fiber and high speed optical telemetry. - Harminder Singh; Sreeraman Rajan; Changcheng Huang; Gauravdeep Shami; Marc Lyonnais; Dmitri Fedorov; Rodney Wilson (PACRIM, 2019)

A Deterministic Compressive Sensing Approach for Compressed Domain Image Analysis. - Dipayan Mitra; Sreeraman Rajan; Bhashyam Balaji (SAS, 2019)

CapsFall: Fall Detection Using Ultra-Wideband Radar and Capsule Network. - Hamidreza Sadreazami; Miodrag Bolic; Sreeraman Rajan (IEEE Access, 2019)

Classification of Doppler radar reflections as preprocessing for breathing rate monitoring. - Isar Nejadgholi; Hamidreza Sadreazami; Sreeraman Rajan; Miodrag Bolic (IET Signal Process., 2019)

Radar-based Noncontact Human Activity Classification Using Genetic Programming. - Julio J. Valdés; Zachary Baird; Sreeraman Rajan; Miodrag Bolic (CEC, 2020)

Transfer Learning for Detection of Atrial Fibrillation in Deterministic Compressive Sensed ECG. - Mohamed Abdelazez; Sreeraman Rajan; Adrian D. C. Chan (EMBC, 2020)

Multi-Stage Detection of Atrial Fibrillation in Compressively Sensed Electrocardiogram. - Mohamed Abdelazez; Fereshteh Fakhar Firouzeh; Sreeraman Rajan; Adrian D. C. Chan (I2MTC, 2020)

Improved Recovery of Compressive Sensed Speech. - Fereshteh Fakhar Firouzeh; Mohamed Abdelazez; Sina Salsabili; Sreeraman Rajan (I2MTC, 2020)

Comparative Study of Time Series-based Human Activity Recognition using Convolutional Neural Networks. - Heba Nematallah; Sreeraman Rajan (I2MTC, 2020)

Radar Micro-Doppler-based Rotary Drone Detection using Parametric Spectral Estimation Methods. - Andi Huang; Pascale Sévigny; Bhashyam Balaji; Sreeraman Rajan (IEEE SENSORS, 2020)

MAXimum Feasible Subsystem Recovery of Compressed ECG Signals. - Fereshteh Fakhar Firouzeh; Sreeraman Rajan; John W. Chinneck (MeMeA, 2020)

Deterministic Compressed Domain Analysis of Multi-channel ECG Measurements. - Dipayan Mitra; Sreeraman Rajan (MeMeA, 2020)

Blind Deterministic Compressive Sensing for Biomedical Images. - Hadi Zanddizari; Dipayan Mitra; Sreeraman Rajan (MeMeA, 2020)

Compressed Domain Contactless Fall Incident Detection using UWB Radar Signals. - Hamidreza Sadreazami; Dipayan Mitra; Miodrag Bolic; Sreeraman Rajan (NEWCAS, 2020)

A CNN-LSTM Network for Augmenting Target Detection in Real Maritime Wide Area Surveillance Radar Data. - Zachary Baird; Michael K. McDonald; Sreeraman Rajan; Simon J. Lee (IEEE Access, 2020)

Maximum Feasible Subsystem Algorithms for Recovery of Compressively Sensed Speech. - Fereshteh Fakhar Firouzeh; John W. Chinneck; Sreeraman Rajan (IEEE Access, 2020)

Quantum Two-Mode Squeezing Radar and Noise Radar: Correlation Coefficient and Integration Time. - David Luong; Bhashyam Balaji; Sreeraman Rajan (IEEE Access, 2020)

An Investigation of Rotary Drone HERM Line Spectrum under Manoeuvering Conditions. - Peter Klaer; Andi Huang; Pascale Sévigny; Sreeraman Rajan; Shashank Pant; Prakash Patnaik; Bhashyam Balaji (Sensors, 2020)

Uncertainty in Blood Pressure Measurement Estimated Using Ensemble-Based Recursive Methodology. - Soojeong Lee; Hilmi R. Dajani; Sreeraman Rajan; Gangseong Lee; Voicu Z. Groza (Sensors, 2020)

Fall Detection Using Standoff Radar-Based Sensing and Deep Convolutional Neural Network. - Hamidreza Sadreazami; Miodrag Bolic; Sreeraman Rajan (IEEE Trans. Circuits Syst. II Express Briefs, 2020)

Investigation of Kronecker-Based Recovery of Compressed ECG Signal. - Dipayan Mitra; Hadi Zanddizari; Sreeraman Rajan (IEEE Trans. Instrum. Meas., 2020)

Image Super-Resolution Through Compressive Sensing-based Recovery. - Hadi Zanddizari; Ankita Dey; Sreeraman Rajan (EMBC, 2021)

A Neyman-Pearson Criterion-Based Neural Network Detector for Maritime Radar. - Zachary Baird; Michael K. McDonald; Sreeraman Rajan; Simon J. Lee (FUSION, 2021)

Reducing Motion Impact on Video Magnification Using Wavelet Transform and Principal Component Analysis for Heart Rate Estimation. - Ahmed Alzahrani 003; Jila Hosseinkhani; Sreeraman Rajan; Eranga Ukwatta (I2MTC, 2021)

Recovery of Noisy Compressively Sensed Speech via Regularized Maximum Feasible Subsystem Algorithm. - Fereshteh Fakhar Firouzeh; Sreeraman Rajan; John W. Chinneck (I2MTC, 2021)

A Deep Convolutional Neural Network Classification of Heart Sounds using Fractional Fourier Transform. - Ebrahim Ali Nehary; Zaid Abduh; Sreeraman Rajan (I2MTC, 2021)

Efficient Kronecker-based Sparse One-Time Sensing Matrix For Compressive Sensing Cryptosystem. - Parichehreh Firoozi; Sreeraman Rajan; Ioannis Lambadaris (MeditCom, 2021)

Few-shot Fall Detection using Shallow Siamese Network. - Satyake Bakshi; Sreeraman Rajan (MeMeA, 2021)

Non-Linear and Chaos-based Analysis of Electroretinogram. - Soroor Behbahani; Sreeraman Rajan (MeMeA, 2021)

Efficient Compressive Sensing of Biomedical Signals Using A Permuted Kronecker-based Sparse Measurement Matrix. - Parichehreh Firoozi; Sreeraman Rajan; Ioannis Lambadaris (MeMeA, 2021)

Biological Data Classification via Faster MAXimum Feasible Subsystem Algorithm. - Fereshteh Fakhar Firouzeh; John W. Chinneck; Sreeraman Rajan (MeMeA, 2021)

Feature Extraction Methods for Electroretinogram Signal Analysis: A Review. - Soroor Behbahani; Hamid Ahmadieh; Sreeraman Rajan (IEEE Access, 2021)

Target Detection Through Riemannian Geometric Approach With Application to Drone Detection. - Hossein Chahrour; Richard M. Dansereau; Sreeraman Rajan; Bhashyam Balaji (IEEE Access, 2021)

Automated Biosignal Quality Analysis of Electrocardiograms. - Mohamed Abdelazez; Sreeraman Rajan; Adrian D. C. Chan (IEEE Instrum. Meas. Mag., 2021)

Contactless Fall Detection Using Time-Frequency Analysis and Convolutional Neural Networks. - Hamidreza Sadreazami; Miodrag Bolic; Sreeraman Rajan (IEEE Trans. Ind. Informatics, 2021)

Detection of Atrial Fibrillation in Compressively Sensed Electrocardiogram Measurements. - Mohamed Abdelazez; Sreeraman Rajan; Adrian D. C. Chan (IEEE Trans. Instrum. Meas., 2021)

Wearable Ultrasound Assessment of Lung Sliding in M-Mode: A Phantom Simulation-Based Study. - Khoa Tran; Sazedur Rahman; Yuu Ono; Sreeraman Rajan; Robert Arntfield (BIBE, 2022)

Classifying Linear Frequency Modulated Radar Signals Using Matched Filters. - David Luong; Anne Young; Bhashyam Balaji; Sreeraman Rajan (CCECE, 2022)

Pulse Compression Favourable Thermal Wave Imaging Approach for Estimation of Osteoporosis: A Numerical Study. - Vanita Arora; Ravibabu Mulaveesala; Sreeraman Rajan; Bhashyam Balaji; Carlos Rossa (I2MTC, 2022)

Drone Micro-Doppler Identification with Radar Calibration. - Ian Lam; Andi Huang; Shashank Pant; Sreeraman Rajan; Prakash Patnaik; Bhashyam Balaji (I2MTC, 2022)

Fall Event Detection using Vision Transformer. - Ankita Dey; Sreeraman Rajan; George Xiao 001; Jianping Lu (IEEE SENSORS, 2022)

Red-plane Asymmetry Analysis of Breast Thermograms for Cancer Detection. - Ankita Dey; Sreeraman Rajan (MeMeA, 2022)

Classification of Ultrasound Breast Images Using Fused Ensemble of Deep Learning Classifiers. - Ebrahim Ali Nehary; Sreeraman Rajan (MeMeA, 2022)

Comparison of Particle Swarm Optimization and Genetic Algorithm for Ultrasound Estimation of Carotid Intima-Media Thickness Using Matching Pursuit. - Khoa Tran; Sreeraman Rajan; Yuu Ono (MeMeA, 2022)

A Neuro-Fuzzy Approach to Assess Postural Sway. - Bruno Andò; Salvatore Baglio; Valeria Dibilio; Vincenzo Marletta; Michele Marella; Giovanni Mostile; Sreeraman Rajan; Mario Zappia (SAS, 2022)

Performance Prediction for Coherent Noise Radars Using the Correlation Coefficient. - David Luong; Bhashyam Balaji; Sreeraman Rajan (IEEE Access, 2022)

Privacy Assured Recovery of Compressively Sensed ECG Signals. - Hadi Zanddizari; Sreeraman Rajan; Houman Zarrabi; Hassan Rabah (IEEE Access, 2022)

Faster Maximum Feasible Subsystem solutions for dense constraint matrices. - Fereshteh Fakhar Firouzeh; John W. Chinneck; Sreeraman Rajan (Comput. Oper. Res., 2022)

Potential of Raman Spectroscopy for Blood-Based Biopsy. - Cristian Ciobanu; Katherine J. I. Ember; Balázs J. Nyíri; Sreeraman Rajan; Vinita Chauhan; Frédéric Leblond; Sangeeta Murugkar (IEEE Instrum. Meas. Mag., 2022)

Guest Editorial. - Sreeraman Rajan (IEEE Instrum. Meas. Mag., 2022)

Continuous Artery Monitoring Using a Flexible and Wearable Single-Element Ultrasonic Sensor. - Shane Steinberg; Andy Huang; Yuu Ono; Sreeraman Rajan (IEEE Instrum. Meas. Mag., 2022)

A Likelihood Ratio Detector for QTMS Radar and Noise Radar. - David Luong; Bhashyam Balaji; Sreeraman Rajan (IEEE Trans. Aerosp. Electron. Syst., 2022)

Signal Quality Assessment of Compressively Sensed Electrocardiogram. - Mohamed Abdelazez; Sreeraman Rajan; Adrian D. C. Chan (IEEE Trans. Biomed. Eng., 2022)

Structured Covariance Matrix Estimation for Noise-Type Radars. - David Luong; Bhashyam Balaji; Sreeraman Rajan (IEEE Trans. Geosci. Remote. Sens., 2022)

Postural Sway Classification using Modified Vision Transformer. - Ebrahim Ali Nehary; Sreeraman Rajan; Bruno Andò (BioCAS, 2023)

Machine Learning Approach to Classify Postural Sway Instabilities. - Bruno Andò; Salvatore Baglio; Valeria Finocchiaro; Vincenzo Marletta; Sreeraman Rajan; Ebrahim Ali Nehary; Valeria Dibilio; Giovanni Mostile; Mario Zappia (I2MTC, 2023)

Time-Frequency Analysis using V-band Radar for Drone Detection and Classification. - Ian Lam; Shashank Pant; Max Manning; Michael Kubanski; Peter Fox 004; Sreeraman Rajan; Prakash Patnaik; Bhashyam Balaji (I2MTC, 2023)

Speeding up Detection and Imaging Using Quantum Radars. - David Luong; Bhashyam Balaji; Sreeraman Rajan (ICASSP Workshops, 2023)

A Step-By-Step Approach for Camera and Low-Resolution-3D-LiDAR Calibration. - Hasan Abbasi; Ankita Dey; Ian Lam; Ziaaddin Sharifisoraki; Ebrahim Ali; Marzieh Amini; Sreeraman Rajan; James R. Green; Felix Kwamena (ICCE, 2023)

Comparison of Wearable Sensor-based Fall Event Detection by 1-D and 2-D Convolutional Neural Networks. - Ebrahim Ali Nehary; Ankita Dey; Sreeraman Rajan (ICCE, 2023)

A Novel Face Recognition Using Specific Values from Deep Neural Network-based Landmarks. - Ziaaddin Sharifisoraki; Marzieh Amini; Sreeraman Rajan (ICCE, 2023)

Spectral Estimation from Actual Color Images based on Deep Neural Network. - Peng Xu; Sreeraman Rajan (ICCE, 2023)

Radar-Based Drone Detection Using Complex-Valued Convolutional Neural Network. - Ankita Dey; Yann Cabanes; Sreeraman Rajan; Bhashyam Balaji; Anthony Damini; Rajkumar Chanchlani (SAS, 2023)

Welcome Message. - Rafik Goubran; Sreeraman Rajan; Alessandro Depari (SAS, 2023)

Phase Estimation for an Experimental Noise Radar. - Ian Lam; David Luong; Bhashyam Balaji; Sreeraman Rajan (SAS, 2023)

Studying the Effects of Clutter Using V-Band Radar for Drone Classification. - Ian Lam; Shashank Pant; Max Manning; Michael Kubanski; Peter Fox 004; Sreeraman Rajan; Prakash Patnaik; Bhashyam Balaji (SAS, 2023)

Synthetic Aperture Radar-Based Ship Classification Using CNN and Traditional Handcrafted Features. - Ebrahim Ali Nehary; Ankita Dey; Sreeraman Rajan; Bhashyam Balaji; Anthony Damini; Rajkumar Chanchlani (SAS, 2023)

Lung Ultrasound Image Classification Using Deep Learning and Histogram of Oriented Gradients Features for COVID-19 Detection. - Ebrahim Ali Nehary; Sreeraman Rajan; Carlos Rossa (SAS, 2023)

Comparison of COVID-19 Classification via Imagenet-Based and RadImagenet-Based Transfer Learning Models with Random Frame Selection. - Ebrahim Ali Nehary; Sreeraman Rajan; Carlos Rossa (SAS, 2023)

Deep Learning Ensemble for Recognising Lower Limb Activity. - Ganesha H. S; Rinki Gupta; Sindhu Hak Gupta; Sreeraman Rajan (SAS, 2023)

Radar Based Fall Detection with Imbalance Data Handling and Data Augmentation. - Hamidreza Sadreazami; Abhishek Khoyani; Marzieh Amini; Sreeraman Rajan; Miodrag Bolic (SAS, 2023)

Critical Electrical Infrastructure Segmentation in Arctic Conditions. - Arka Singh; Sreeraman Rajan; Marzieh Amini; James R. Green; Kevin Dick (SAS, 2023)

Machine Learning-Based Real-Time Metasurface Reconfiguration. - Feng Su; David Luong; Ian Lam; Sreeraman Rajan; Shulabh Gupta (SAS, 2023)

Level Plane SLAM: Out-of-Plane Motion Compensation in a Globally Stabilized Coordinate Frame for 2D SLAM. - Samuel Lovett; Tyler Paquette; Brayden DeBoon; Sreeraman Rajan; Carlos Rossa (SMC, 2023)

Monitoring Critical Infrastructure Using 3D LiDAR Point Clouds. - Ziaaddin Sharifisoraki; Ankita Dey; Roger Selzler; Marzieh Amini; James R. Green; Sreeraman Rajan; F. A. Kwamena (IEEE Access, 2023)

Measurement Methodology. - Ankita Dey; Sreeraman Rajan; Gaozhi Xiao 001; Jianping Lu (IEEE Instrum. Meas. Mag., 2023)

Real-Time Target Tracking Library in Python. - Jagrit Rai; Peter Carniglia; Sreeraman Rajan (CCECE, 2024)

Unsupervised Learning for Breast Abnormality Detection using Thermograms. - Ankita Dey; Sreeraman Rajan (I2MTC, 2024)

Postural Sway Classification using Bispectrum. - Ebrahim Ali Nehary; Sreeraman Rajan; Bruno Andò (I2MTC, 2024)

Hierarchical Classifier for Improved Human Activity Recognition using Wearable Sensors. - Heba Nematallah; Sreeraman Rajan (I2MTC, 2024)

Comparison of Different Color Spaces for Abnormality Detection in Breast Thermograms. - Ankita Dey; Sreeraman Rajan (ICCE, 2024)

Comparative Analysis of mmWave Radar-based Object Detection in Autonomous Vehicles. - Ziaaddin Sharifisoraki; Marzieh Amini; Sreeraman Rajan (ICCE, 2024)

Improved Detection of Abnormality in Grayscale Breast Thermal Images Using Binary Encoding. - Ankita Dey; Sreeraman Rajan; Richard M. Dansereau (MeMeA, 2024)

Enhanced Phonocardiogram Classification Performance through Outlier Detection. - Ebrahim Ali Nehary; Sreeraman Rajan (MeMeA, 2024)

Enhancing the Performance of Deep Learning Model Based Object Detection using Parallel Processing (Work In Progress Paper). - Omar Imran; Shikharesh Majumdar; Sreeraman Rajan (ICPE (Companion), 2024)

Ultrasound Breast Image Classification Through Domain Knowledge Integration Into Deep Neural Networks. - Ebrahim Ali Nehary; Sreeraman Rajan (IEEE Access, 2024)

Metric-Based Frame Selection and Deep Learning Model With Multi-Head Self Attention for Classification of Ultrasound Lung Video Images. - Ebrahim Ali Nehary; Sreeraman Rajan; Carlos Rossa (IEEE Access, 2024)

Adaptive Hierarchical Classification for Human Activity Recognition Using Inertial Measurement Unit (IMU) Time-Series Data. - Heba Nematallah; Sreeraman Rajan (IEEE Access, 2024)

Improved Vessel Detection via Quadratic Matched Filtering and Target Parameter Estimation for Dual and Compact Polarimetric SAR. - Mamoon Rashid 002; Christoph H. Gierull; Sreeraman Rajan (IEEE Geosci. Remote. Sens. Lett., 2024)

Few-shot transfer learning for wearable IMU-based human activity recognition. - Ganesha H. S; Rinki Gupta; Sindhu Hak Gupta; Sreeraman Rajan (Neural Comput. Appl., 2024)

Detection of Abnormality in Deterministic Compressive Sensed Breast Thermograms Using Bilateral Asymmetry. - Ankita Dey; Sreeraman Rajan; Ioannis Lambadaris (IEEE Trans. Instrum. Meas., 2024)

Radar-Based Human Activity Recognition Using Multidomain Multilevel Fused Patch-Based Learning. - Ankita Dey; Sreeraman Rajan; George Xiao 001; Jianping Lu (IEEE Trans. Instrum. Meas., 2024)

Phonocardiogram Classification by Learning From Positive and Unlabeled Examples. - Ebrahim Ali Nehary; Sreeraman Rajan (IEEE Trans. Instrum. Meas., 2024)

Quantitative Analysis of Mother Wavelet Function Selection for Wearable Sensors-Based Human Activity Recognition. - Heba Nematallah; Sreeraman Rajan (Sensors, 2024)

Measurement Methodology: Breast Abnormality Detection using Thermography: An Engineer's Perspective. - Ankita Dey; Sreeraman Rajan (IEEE Instrum. Meas. Mag., 2024)

Object Detection Using Efficient Partitioning and Frame Reduction. - Omar Imran; Sreeraman Rajan; Shikharesh Majumdar (ICCE, 2025)

Investigating Radar Micro-Doppler Signatures for Drone Payload Detection. - Shashank Pant; Max Manning; Jeremy Laliberté; Pascale Sévigny; Sreeraman Rajan; Bhashyam Balaji (DSP, 2025)

Unsupervised Learning of Fall Incidents using Radar-based Sensing. - Hamidreza Sadreazami; Marzieh Amini; Miodrag Bolic; Sreeraman Rajan (ISCAS, 2025)

Indoor Temporally Constrained Instantaneous Ego-Motion Estimation Using 4-D Doppler Radar. - Samuel Lovett; Kade MacWilliams; Sreeraman Rajan; Carlos Rossa (IEEE Trans. Instrum. Meas., 2025)

The 3rd Workshop on Quantum in Consumer Technology at IEEE Quantum Week 2024. - Rafael Sotelo 001; Edoardo Giusto; Yuichi Nakamura 002; Jingbo Wang 001; Sreeraman Rajan; Himanshu Thapliyal (IEEE Consumer Electron. Mag., 2025)