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Publication search results
found 372 matches
- 2024
- Heba Nematallah, Sreeraman Rajan:
Adaptive Hierarchical Classification for Human Activity Recognition Using Inertial Measurement Unit (IMU) Time-Series Data. IEEE Access 12: 52127-52149 (2024) - Serena Sunkari, Ashish Sangam, Venkata Sreeram P., M. Suchetha, Rajiv Raman, Ramachandran Rajalakshmi, Tamilselvi S.:
A refined ResNet18 architecture with Swish activation function for Diabetic Retinopathy classification. Biomed. Signal Process. Control. 88(Part A): 105630 (2024) - Ankita Dey, Sreeraman Rajan:
Measurement Methodology: Breast Abnormality Detection using Thermography: An Engineer's Perspective. IEEE Instrum. Meas. Mag. 27(4): 13-21 (2024) - Djabeur Mohamed Seifeddine Zekrifa, Dharmanna Lamani, Gogineni Krishna Chaitanya, K. V. Kanimozhi, Akash Saraswat, D. Sugumar, D. Vetrithangam, Ashok Kumar Koshariya, Manthur Sreeramulu Manjunath, A. Rajaram:
Advanced deep learning approach for enhancing crop disease detection in agriculture using hyperspectral imaging. J. Intell. Fuzzy Syst. 46(2): 3281-3294 (2024) - Ganesha H. S, Rinki Gupta, Sindhu Hak Gupta, Sreeraman Rajan:
Few-shot transfer learning for wearable IMU-based human activity recognition. Neural Comput. Appl. 36(18): 10811-10823 (2024) - Heba Nematallah, Sreeraman Rajan:
Quantitative Analysis of Mother Wavelet Function Selection for Wearable Sensors-Based Human Activity Recognition. Sensors 24(7): 2119 (2024) - Ankita Dey, Sreeraman Rajan, George Xiao, Jianping Lu:
Radar-Based Human Activity Recognition Using Multidomain Multilevel Fused Patch-Based Learning. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - Ebrahim Ali Nehary, Sreeraman Rajan:
Phonocardiogram Classification by Learning From Positive and Unlabeled Examples. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - Ankita Dey, Sreeraman Rajan:
Comparison of Different Color Spaces for Abnormality Detection in Breast Thermograms. ICCE 2024: 1-6 - Ziaaddin Sharifisoraki, Marzieh Amini, Sreeraman Rajan:
Comparative Analysis of mmWave Radar-based Object Detection in Autonomous Vehicles. ICCE 2024: 1-6 - Omar Imran, Shikharesh Majumdar, Sreeraman Rajan:
Enhancing the Performance of Deep Learning Model Based Object Detection using Parallel Processing (Work In Progress Paper). ICPE (Companion) 2024: 7-13 - Soubhik Deb, Robert Raynor, Sreeram Kannan:
STAKESURE: Proof of Stake Mechanisms with Strong Cryptoeconomic Safety. CoRR abs/2401.05797 (2024) - 2023
- Ziaaddin Sharifisoraki, Ankita Dey, Roger Selzler, Marzieh Amini, James R. Green, Sreeraman Rajan, F. A. Kwamena:
Monitoring Critical Infrastructure Using 3D LiDAR Point Clouds. IEEE Access 11: 314-336 (2023) - Mohamed Nisin K. M. N., K. R. Sreenath, Miriam Paul Sreeram:
Change in habitat suitability of the invasive Snowflake coral (Carijoa riisei) during climate change: An ensemble modelling approach. Ecol. Informatics 76: 102145 (2023) - Twinkle Sebastian, K. R. Sreenath, Miriam Paul Sreeram, R. Ranith:
Dwindling seagrasses: A multi-temporal analysis on Google Earth Engine. Ecol. Informatics 74: 101964 (2023) - Ankita Dey, Sreeraman Rajan, Gaozhi Xiao, Jianping Lu:
Measurement Methodology. IEEE Instrum. Meas. Mag. 26(7): 12-19 (2023) - Uttishta Sreerama Varanasi, Teemu Leinonen, Nitin Sawhney, Minttu Tikka, Rahim Ahsanullah:
Collaborative Sensemaking in Crisis: Designing Practices and Platforms for Resilience. Conference on Designing Interactive Systems 2023: 2537-2550 - Ebrahim Ali Nehary, Sreeraman Rajan, Bruno Andò:
Postural Sway Classification using Modified Vision Transformer. BioCAS 2023: 1-5 - Diptyaroop Maji, Ben Pfaff, Vipin P. R, Rajagopal Sreenivasan, Victor Firoiu, Sreeram Iyer, Colleen Josephson, Zhelong Pan, Ramesh K. Sitaraman:
Bringing Carbon Awareness to Multi-cloud Application Delivery. HotCarbon 2023: 6:1-6:6 - Bruno Andò, Salvatore Baglio, Valeria Finocchiaro, Vincenzo Marletta, Sreeraman Rajan, Ebrahim Ali Nehary, Valeria Dibilio, Giovanni Mostile, Mario Zappia:
Machine Learning Approach to Classify Postural Sway Instabilities. I2MTC 2023: 1-6 - Ian Lam, Shashank Pant, Max Manning, Michael Kubanski, Peter Fox, Sreeraman Rajan, Prakash Patnaik, Bhashyam Balaji:
Time-Frequency Analysis using V-band Radar for Drone Detection and Classification. I2MTC 2023: 1-6 - David Luong, Bhashyam Balaji, Sreeraman Rajan:
Speeding up Detection and Imaging Using Quantum Radars. ICASSP Workshops 2023: 1-5 - Hasan Abbasi, Ankita Dey, Ian Lam, Ziaaddin Sharifisoraki, Ebrahim Ali, Marzieh Amini, Sreeraman Rajan, James R. Green, Felix Kwamena:
A Step-By-Step Approach for Camera and Low-Resolution-3D-LiDAR Calibration. ICCE 2023: 1-5 - Ebrahim Ali Nehary, Ankita Dey, Sreeraman Rajan:
Comparison of Wearable Sensor-based Fall Event Detection by 1-D and 2-D Convolutional Neural Networks. ICCE 2023: 1-5 - Ziaaddin Sharifisoraki, Marzieh Amini, Sreeraman Rajan:
A Novel Face Recognition Using Specific Values from Deep Neural Network-based Landmarks. ICCE 2023: 1-6 - Peng Xu, Sreeraman Rajan:
Spectral Estimation from Actual Color Images based on Deep Neural Network. ICCE 2023: 1-4 - Noam Buckman, Shiva Sreeram, Mathias Lechner, Yutong Ban, Ramin M. Hasani, Sertac Karaman, Daniela Rus:
Infrastructure-based End-to-End Learning and Prevention of Driver Failure. ICRA 2023: 3576-3583 - Akshat Johar, Sreerama Amrutha Lahari, R. N. Ponnalagu:
Water Quality Index Prediction System Using IoT Enabled Sensor Suite and Machine Learning. ICST 2023: 1-6 - Sreerama Amrutha Lahari, Khairunnisa Amreen, Satish Kumar Dubey, R. N. Ponnalagu, Sanket Goel:
Functionalized Carbon Cloth Device for pH Sensing. ICST 2023: 1-4 - Ankita Dey, Yann Cabanes, Sreeraman Rajan, Bhashyam Balaji, Anthony Damini, Rajkumar Chanchlani:
Radar-Based Drone Detection Using Complex-Valued Convolutional Neural Network. SAS 2023: 1-5
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