A framework for remote and adaptive partial reconfiguration of SoC based data acquisition systems under Linux. - A. Amalin Prince; Vineeth Kartha (ReCoSoC, 2015)

Efficient implementation of empirical mode decomposition in FPGA Using Xilinx System Generator. - A. Amalin Prince; Sriram Ganesh; Prakhar Kumar Verma; Philip George; Daniel Raju (IECON, 2016)

Feature selection and classification methodology for the detection of knee-joint disorders. - Saif Nalband; Aditya Sundar; A. Amalin Prince; Anita Agarwal (Comput. Methods Programs Biomed., 2016)

Efficient Architecture for Implementation of Hermite Interpolation on FPGA. - Gibin ChackoGeorge; Abhishek Moitra; Sriyash Caculo; A. Amalin Prince (DASIP, 2018)

Brain abnormality detection using template matching. - G. B. Praveen; Anita Agrawal; Shrey Pareek; A. Amalin Prince (Bio Algorithms Med Syst., 2018)

Time-frequency based feature extraction for the analysis of vibroarthographic signals. - Saif Nalband; C. A. Valliappan; A. Amalin Prince; Anita Agrawal (Comput. Electr. Eng., 2018)

A Novel and Efficient Hardware Accelerator Architecture for Signal Normalization. - Gibin ChackoGeorge; Abhishek Moitra; Sriyash Caculo; A. Amalin Prince; J. J. U. Buch; Surya K. Pathak (Circuits Syst. Signal Process., 2020)

Characteristics of Arbitrary Ramp Generator: A Tuning Voltage Setup for the FMCW Reflectometer. - Gibin ChackoGeorge; N. Bittu; J. J. U. Buch; A. Amalin Prince; Neena Goveas; Surya K. Pathak (IEEE Trans. Instrum. Meas., 2020)

Modified-MaMeMi filter bank for efficient extraction of brainwaves from electroencephalograms. - Rakshit Mittal; A. Amalin Prince; Saif Nalband; Femi Robert; Agastinose Ronickom Jac Fredo (Biomed. Signal Process. Control., 2021)

Automated EEG pathology detection based on different convolutional neural network models: Deep learning approach. - Rishabh Bajpai; Yuvaraj Rajamanickam; A. Amalin Prince (Comput. Biol. Medicine, 2021)

Accelerating Parameter Extraction of PSP MOSFET Model on SoC Platform. - Amit Rathod; Rajesh Amratlal Thakker; A. Amalin Prince (J. Circuits Syst. Comput., 2021)

SoC-Based Automated Diagnostic Instrument for FMCW Reflectometry Applications. - Gibin ChackoGeorge; J. J. U. Buch; A. Amalin Prince; Surya K. Pathak (IEEE Trans. Instrum. Meas., 2021)

Low-Power Hardware Accelerator for Detrending Measured Biopotential Data. - Rakshit Mittal; A. Amalin Prince; Saif Nalband; Femi Robert; Agastinose Ronickom Jac Fredo (IEEE Trans. Instrum. Meas., 2021)

Adaptive Learning for Leather Image Pre-processing Using GAN. - Anjli Varghese; Malathy Jawahar; Prajjwal Gupta; A. Amalin Prince (CVIP (1), 2022)

Fine-tuning ConvNets with novel leather image data for species identification. - Anjli Varghese; Malathy Jawahar; A. Amalin Prince (ICMV, 2022)

Texture Analysis on Digital Microscopic Leather Images For Species Identification. - Anjli Varghese; Malathy Jawahar; A. Amalin Prince; Amir H. Gandomi (ISCMI, 2022)

Time-Sliced Architecture for Efficient Accelerator to Detrend High-Definition Electroencephalograms. - Rakshit Mittal; A. Amalin Prince; Agastinose Ronickom Jac Fredo (IEEE Trans. Instrum. Meas., 2022)

Low Valence Low Arousal Stimuli: An Effective Candidate for EEG-Based Biometrics Authentication System. - Jahanvi Jeswani; Praveen Kumar Govarthan; Abirami Selvaraj; A. Amalin Prince; John Thomas; Mohanavelu Kalathe; Venkat Sreeraj V. Se Subramaniam; Jac Fredo Agastinose Ronickom (MIE, 2023)

Learning species-definite features from digital microscopic leather images. - Anjli Varghese; Malathy Jawahar; A. Amalin Prince (Expert Syst. Appl., 2023)

Auto-pore segmentation of digital microscopic leather images for species identification. - Anjli Varghese; Sahil Jain; Malathy Jawahar; A. Amalin Prince (Eng. Appl. Artif. Intell., 2023)

Vision Transformer-based Deep Learning Model for Leather Species Identification. - S. Sundar Rajan; Malathy Jawahar; A. Amalin Prince (ISCMI, 2024)

Automated Recognition of Teacher and Student Activities in the Classroom: A Deep Learning Framework. - Yuvaraj Rajamanickam; A. Amalin Prince; M. Murugappan (IEEE Access, 2024)

Automated Multi-Class Seizure-Type Classification System Using EEG Signals and Machine Learning Algorithms. - Abirami Selvaraj; Tikaram; M. Kathiravan; Yuvaraj Rajamanickam; Ramshekhar N. Menon; John Thomas; Periyamolapalayam Allimuthu Karthick; A. Amalin Prince; Jac Fredo Agastinose Ronickom (IEEE Access, 2024)

Binding Affinity Prediction for Pancreatic Ductal Adenocarcinoma Using Drug-Target Descriptors and Artificial Intelligence. - Pragya; A. Amalin Prince; Jac Fredo Agastinose Ronickom (IEEE Access, 2025)

Fine-Tuning EEG Channel Utilization for Emotionally Stimulated Biometric Authentication. - Chetan Rakshe; Christy Bobby Thomas; Mohanavelu Kalathe; Vanteemar S. Sreeraj; Ganesan Venkatasubramanian; Deepesh Kumar; A. Amalin Prince; Jac Fredo Agastinose Ronickom (IEEE Access, 2025)

Diagnostic classification of autism spectrum disorder using sMRI improves with the morphological distance-related features compared to morphological features. - Gokul Manoj; Vaibhavi Gupta; Aditi Bhattacharya; Abdul Aleem Shaik Gadda; Dhanvi Vedantham; A. Amalin Prince; Jac Fredo Agastinose Ronickom (Multim. Tools Appl., 2025)