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Publication search results
found 149 matches
- 2024
- Nishad Nawaz, Hemalatha Arunachalam, Barani Kumari Pathi, Vijayakumar Gajenderan:
The adoption of artificial intelligence in human resources management practices. Int. J. Inf. Manag. Data Insights 4(1): 100208 (2024) - X. Federspiel, Cheikh Diouf, B. Arunachalam, David Roy, Florian Cacho:
Non-conducting Hot carrier temperature activation and temperature sense effect. IRPS 2024: 1-6 - Fahim Mohammad, Lakshmi Arunachalam, Samanway Sadhu, Boudewijn Aasman, Shweta Garg, Adil Ahmed, Silvie Colman, Meena Arunachalam, Sudhir Kulkarni, Parsa Mirhaji:
Early prediction of onset of sepsis in Clinical Setting. CoRR abs/2402.03486 (2024) - Ayush Arunachalam, Ian Kintz, Suvadeep Banerjee, Arnab Raha, Xiankun Jin, Fei Su, Viswanathan Pillai Prasanth, Rubin A. Parekhji, Suriyaprakash Natarajan, Kanad Basu:
Enhancing Functional Safety in Automotive AMS Circuits through Unsupervised Machine Learning. CoRR abs/2404.01632 (2024) - 2023
- David Xiaosong Peng, Barbara B. Flynn, Arunachalam Narayanan, Raymond Fan:
Alternative information processing mechanisms in hospital supply chains: Impact on cost, quality, and patient satisfaction. Decis. Sci. 54(5): 494-513 (2023) - Jeyalakshmi Chelliah, Kiranbala Benny, Revathi Arunachalam, Viswanathan Balasubramanian:
Robust Hearing-Impaired Speaker Recognition from Speech using Deep Learning Networks in Native Language. Int. Arab J. Inf. Technol. 20(1): 102-112 (2023) - Mansunderbir Singh, Priyanka Anvekar, Bhavana Baraskar, Namratha Pallipamu, Srikanth Gadam, Akhila Sai Sree Cherukuri, Devanshi N. Damani, Kanchan Kulkarni, Shivaram Poigai Arunachalam:
Prospective of Pancreatic Cancer Diagnosis Using Cardiac Sensing. J. Imaging 9(8): 149 (2023) - Sharanya Manga, Neha Muthavarapu, Renisha Redij, Bhavana Baraskar, Avneet Kaur, Sunil Gaddam, Keerthy Gopalakrishnan, Rutuja Shinde, Anjali Rajagopal, Poulami Samaddar, Devanshi N. Damani, Suganti Shivaram, Shuvashis Dey, Dipankar Mitra, Sayan Roy, Kanchan Kulkarni, Shivaram Poigai Arunachalam:
Estimation of Physiologic Pressures: Invasive and Non-Invasive Techniques, AI Models, and Future Perspectives. Sensors 23(12): 5744 (2023) - Shabeeb Ahamed KP, Joseph Prashanth Britto, Kavitha Arunachalam:
Intracavitary Applicator for Sequential Delivery of Localized Hyperthermia Through Non-Metallic Uterine Tandem. IEEE Trans. Biomed. Eng. 70(10): 2955-2963 (2023) - Ayush Arunachalam, Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Suriyaprakash Natarajan, Kanad Basu:
A Novel Low-Power Compression Scheme for Systolic Array-Based Deep Learning Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(4): 1085-1098 (2023) - Muhammad Shalihin Bin Othman, Remya K. Padinjarapat, Chengxin Wang, Nimal R. Arunachalam, Gary Tan:
Real-Time Simulation Framework with Traffic Incident Prediction: A Singapore Case Study. DS-RT 2023: 84-90 - Amisha Srivastava, Chao Lu, Navnil Choudhury, Ayush Arunachalam, Kanad Basu:
Search Space Reduction for Efficient Quantum Compilation. ACM Great Lakes Symposium on VLSI 2023: 109-114 - Abhinav Prasad, Prakash Arunachalam, Ali Motamedi, Ranjeeta Bhattacharya, Beibei Liu, Hays McCormick, Shengzhe Xu, Nikhil Muralidhar, Naren Ramakrishnan:
ML-Assisted Optimization of Securities Lending. ICAIF 2023: 628-636 - Sridhar Pandian Arunachalam, Sneha Silwal, Ben Evans, Lerrel Pinto:
Dexterous Imitation Made Easy: A Learning-Based Framework for Efficient Dexterous Manipulation. ICRA 2023: 5954-5961 - Ayush Arunachalam, Sanjay Das, Monikka Rajan, Fei Su, Xiankun Jin, Suvadeep Banerjee, Arnab Raha, Suriyaprakash Natarajan, Kanad Basu:
Enhanced ML-Based Approach for Functional Safety Improvement in Automotive AMS Circuits. ITC 2023: 266-275 - Rhithick Murali, Vivek Arunachalam, S. Jeevanantham, C. Venkatesan, Rebekka B.:
Lightweight Certificate-less Digital Signature Scheme for WSNs. PKIA 2023: 1-7 - Arunachalam Somasundaram, Levi Biasco, Damon Riesberg:
Dynamic Mesh Sharpening. SIGGRAPH Talks 2023: 41:1-41:2 - Srinivasan Arunachalam, Sergey Bravyi, Arkopal Dutt, Theodore J. Yoder:
Optimal Algorithms for Learning Quantum Phase States. TQC 2023: 3:1-3:24 - Xingyu Meng, Amisha Srivastava, Ayush Arunachalam, Avik Ray, Pedro Henrique Silva, Rafail Psiakis, Yiorgos Makris, Kanad Basu:
Unlocking Hardware Security Assurance: The Potential of LLMs. CoRR abs/2308.11042 (2023) - 2022
- Vidhushavarshini Sureshkumar, Sathiyabhama Balasubramaniam, Vinayakumar Ravi, Ajay Arunachalam:
A hybrid optimization algorithm-based feature selection for thyroid disease classifier with rough type-2 fuzzy support vector machine. Expert Syst. J. Knowl. Eng. 39(1) (2022) - David Chen, Huzefa M. Bhopalwala, Nakeya Dewaswala, Shivaram Poigai Arunachalam, Moein Enayati, Nasibeh Zanjirani Farahani, Kalyan Pasupathy, Sravani Lokineni, J. Martijn Bos, Peter A. Noseworthy, Reza Arsanjani, Bradley J. Erickson, Jeffrey B. Geske, Michael J. Ackerman, Philip A. Araoz, Adelaide M. Arruda-Olson:
Deep Neural Network for Cardiac Magnetic Resonance Image Segmentation. J. Imaging 8(5): 149 (2022) - Krishnakumar Arunachalam, Senthilkumaran Thangamuthu, Vijayanand Shanmugam, Mukesh Raju, Kamali Premraj:
Deep learning and optimisation for quality of service modelling. J. King Saud Univ. Comput. Inf. Sci. 34(8 Part B): 5998-6007 (2022) - Brent B. Moritz, Arunachalam Narayanan, Chris Parker:
Unraveling Behavioral Ordering: Relative Costs and the Bullwhip Effect. Manuf. Serv. Oper. Manag. 24(3): 1733-1750 (2022) - Poulami Samaddar, Anup K. Mishra, Sunil Gaddam, Mansunderbir Singh, Vaishnavi K. Modi, Keerthy Gopalakrishnan, Rachel L. Bayer, Ivone Cristina Igreja Sa, Shalil Khanal, Petra Hirsova, Enis Kostallari, Shuvashis Dey, Dipankar Mitra, Sayan Roy, Shivaram Poigai Arunachalam:
Machine Learning-Based Classification of Abnormal Liver Tissues Using Relative Permittivity. Sensors 22(24): 9919 (2022) - Ayesha Kousar, Shivam Damani, Priyanka Anvekar, Arush Rajotia, Keerthy Gopalakrishnan, Bhavana Baraskar, Vaishnavi K. Modi, Keirthana Aedma, Joshika Agarwal, Hima Varsha Voruganti, Mansunderbir Singh, Enis Kostallari, Shivaram Poigai Arunachalam:
Deep Learning Based Classiftcation of Normal and Hepatic Fibrosis Mouse Model Using Digital Pathology Images. BIBM 2022: 2308-2313 - Poulami Samaddar, Keerthy Gopalakrishnan, Priyanka Anvekar, Poushali Samadder, Ivone Cristina Igreja E. Sa, Rachel Bayer, Sunil Gaddam, Dipankar Mitra, Sayan Roy, Petra Hirsova, Shivaram Poigai Arunachalam:
Multiclass Classification of Nonalcoholic Steatohepatitis Mouse Models Using Dielectric Properties as Disease Biomarker. BIBM 2022: 3137-3143 - Poulami Samaddar, Poushali Samadder, Bhavana Baraskar, Priyanka Anvekar, Shalil Khanal, Sunil Gaddam, Sayan Roy, Dipankar Mitra, Enis Kostallari, Shivaram Poigai Arunachalam:
Machine Learning Models to Classify Normal and Fibrotic Mouse Liver Model using Dielectric Properties. BIBM 2022: 2696-2703 - Devanshi N. Damani, Anoushka Kapoor, Priyadharshini Sivasubramaniam, Nasibeh Farahani, Moein Enayati, Jeffrey B. Geske, Michael J. Ackerman, Johan M. Bos, Kalyan Pasupathy, Philip A. Araoz, Shivaram Poigai Arunachalam, Adelaide M. Arruda-Olson:
Biventricular Involvement In Hypertrophic Cardiomyopathy: Preliminary Analysis Of Cardiac MRIs With Visual Right Ventricular Hypertrophy. ICHI 2022: 134-137 - Ayush Arunachalam, Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Kanad Basu:
Fault Resilience of DNN Accelerators for Compressed Sensor Inputs. ISVLSI 2022: 329-332 - Ayush Arunachalam, Athulya Kizhakkayil, Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Robert Jin, Fei Su, Kanad Basu:
Unsupervised Learning-based Early Anomaly Detection in AMS Circuits of Automotive SoCs. ITC 2022: 229-238
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