An Improved Fast and Secure Hash Algorithm. - Siddharth Agarwal; Abhinav Rungta; R. Padmavathy; Mayank Shankar; Nipun Rajan (J. Inf. Process. Syst., 2012)

Functional SMT solving with Z3 and racket. - Siddharth Agarwal; Amey Karkare (FormaliSE@ICSE, 2013)

Characteristics of indoor disaster environments for small UASs. - Siddharth Agarwal; Robin R. Murphy; Julie A. Adams (SSRR, 2014)

Fuzzy Based Support System for Melanoma Diagnosis. - Anand Gupta; Devendra Tiwari; Siddharth Agarwal; Monal Jain (MIKE, 2015)

Genre and Style Based Painting Classification. - Siddharth Agarwal; Harish Karnick; Nirmal Pant; Urvesh Patel (WACV, 2015)

Characterizing Emerging Markets: An Evaluation of TCP congestion control with real internet traffic over HTTP2. - Prasanna Vijayanathan; Ritesh Maheshwari; Rahul Malik; Shen Zhang; Siddharth Agarwal; Anant Rao; Goksel Genc (ICNC, 2018)

Ground-Edge-Based LIDAR Localization Without a Reflectivity Calibration for Autonomous Driving. - Juan Castorena; Siddharth Agarwal (IEEE Robotics Autom. Lett., 2018)

Localization in Autonomous Vehicles Using a Generalized Inner Product. - Samuel Todd Flanagan; Drupad K. Khublani; Jean-François Chamberland; Siddharth Agarwal; Ankit Vora (GlobalSIP, 2019)

A 10-MHz Current-Mode Fixed-Frequency Hysteretic Controlled DC-DC Converter With Fast Transient Response. - Siddharth Agarwal; Ashis Maity (MWSCAS, 2019)

Localization Requirements for Autonomous Vehicles. - Tyler G. R. Reid; Sarah E. Houts; Robert Cammarata; Graham Mills; Siddharth Agarwal; Ankit Vora; Gaurav Pandey 004 (CoRR, 2019)

Aerial Imagery based LIDAR Localization for Autonomous Vehicles. - Ankit Vora; Siddharth Agarwal; Gaurav Pandey 004; James R. McBride (CoRR, 2020)

Ford Multi-AV Seasonal Dataset. - Siddharth Agarwal; Ankit Vora; Gaurav Pandey 004; Wayne Williams; Helen Kourous; James R. McBride (Int. J. Robotics Res., 2020)

A Reinforcement Learning Approach to Reduce Serverless Function Cold Start Frequency. - Siddharth Agarwal; Maria Alejandra Rodriguez; Rajkumar Buyya (CCGRID, 2021)

Automated triaging of head MRI examinations using convolutional neural networks. - David A. Wood 004; Sina Kafiabadi; Aisha Al Busaidi; Emily Guilhem; Antanas Montvila; Siddharth Agarwal; Jeremy Lynch; Matthew Townend; Gareth J. Barker; Sébastien Ourselin; James H. Cole; Thomas C. Booth (MIDL, 2021)

S-BEV: Semantic Birds-Eye View Representation for Weather and Lighting Invariant 3-DoF Localization. - Mokshith Voodarla; Shubham Shrivastava; Sagar Manglani; Ankit Vora; Siddharth Agarwal; Punarjay Chakravarty (CoRR, 2021)

IDIO: Network-Driven, Inbound Network Data Orchestration on Server Processors. - Mohammad Alian; Siddharth Agarwal; Jongmin Shin; Neel Patel; Yifan Yuan; Daehoon Kim; Ren Wang 001; Nam Sung Kim (MICRO, 2022)

Investigations on convergence behaviour of Physics Informed Neural Networks across spectral ranges and derivative orders. - Mayank Deshpande; Siddharth Agarwal; Arya Kumar Bhattacharya (SSCI, 2022)

Deep learning models for triaging hospital head MRI examinations. - David A. Wood 004; Sina Kafiabadi; Ayisha Al Busaidi; Emily Guilhem; Antanas Montvila; Jeremy Lynch; Matthew Townend; Siddharth Agarwal; Asif Mazumder; Gareth J. Barker; Sébastien Ourselin; James H. Cole; et al. (Medical Image Anal., 2022)

Accurate brain-age models for routine clinical MRI examinations. - David A. Wood 004; Sina Kafiabadi; Ayisha Al Busaidi; Emily Guilhem; Antanas Montvila; Jeremy Lynch; Matthew Townend; Siddharth Agarwal; Asif Mazumder; Gareth J. Barker; Sébastien Ourselin; James H. Cole; et al. (NeuroImage, 2022)

Demystifying CXL Memory with Genuine CXL-Ready Systems and Devices. - Yan Sun; Yifan Yuan; Zeduo Yu; Reese Kuper; Chihun Song; Jinghan Huang 001; Houxiang Ji; Siddharth Agarwal; Jiaqi Lou; Ipoom Jeong; Ren Wang 001; Jung Ho Ahn; et al. (MICRO, 2023)

Investigations on convergence behaviour of Physics Informed Neural Networks across spectral ranges and derivative orders. - Mayank Deshpande; Siddharth Agarwal; Vukka Snigdha; Arya Kumar Bhattacharya (CoRR, 2023)

Enabling Kernel Bypass Networking on gem5. - Siddharth Agarwal; Minwoo Lee; Ren Wang 001; Mohammad Alian (CoRR, 2023)

Reinforcement Learning (RL) Augmented Cold Start Frequency Reduction in Serverless Computing. - Siddharth Agarwal; Maria Alejandra Rodriguez; Rajkumar Buyya (CoRR, 2023)

Userspace Networking in gem5. - Johnson Umeike; Siddharth Agarwal; Nikita Lazarev; Mohammad Alian (ISPASS, 2024)

Input-Based Ensemble-Learning Method for Dynamic Memory Configuration of Serverless Computing Functions. - Siddharth Agarwal; Maria A. Rodriguez 001; Rajkumar Buyya (UCC, 2024)

A Current-Source-Free Constant-Current Wireless Adiabatic Neural Stimulator Achieving a 5.5-27.7x Improved RF-to-Electrode Stimulation Efficiency Factor. - Siddharth Agarwal; Gaël Pillonnet; Hongyu Lu; Nader Sherif Kassem Fathy; Patrick P. Mercier (VLSI Technology and Circuits, 2024)

A Detection and Filtering Framework for Collaborative Localization. - Thirumalaesh Ashokkumar; Katherine A. Skinner; Siddharth Agarwal; Ankit Vora; Ashutosh Bhown (CoRR, 2024)

A self-supervised text-vision framework for automated brain abnormality detection. - David A. Wood 004; Emily Guilhem; Sina Kafiabadi; Ayisha Al Busaidi; Kishan Dissanayake; Ahmed Hammam; Nina Mansoor; Matthew Townend; Siddharth Agarwal; Yiran Wei; Asif Mazumder; Gareth J. Barker; et al. (CoRR, 2024)

Letter to the Editor: What are the legal and ethical considerations of submitting radiology reports to ChatGPT? - Siddharth Agarwal; David Wood; Robin Carpenter; Yiran Wei; Marc Modat; Thomas C. Booth (CoRR, 2024)

Artificial intelligence for abnormality detection in high volume neuroimaging: a systematic review and meta-analysis. - Siddharth Agarwal; David A. Wood 004; Mariusz Grzeda; Chandhini Suresh; Munaib Din; James H. Cole; Marc Modat; Thomas C. Booth (CoRR, 2024)

Machine learning algorithms to predict the risk of rupture of intracranial aneurysms: a systematic review. - Karan Daga; Siddharth Agarwal; Zaeem Moti; Matthew BK Lee; Munaib Din; David Wood; Marc Modat; Thomas C. Booth (CoRR, 2024)

Camera-Based Localization and Enhanced Normalized Mutual Information. - Vishnu Teja Kunde; Jean-François Chamberland; Siddharth Agarwal (CoRR, 2024)

A Deep Recurrent-Reinforcement Learning Method for Intelligent AutoScaling of Serverless Functions. - Siddharth Agarwal; Maria Alejandra Rodriguez; Rajkumar Buyya (IEEE Trans. Serv. Comput., 2024)