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ORCIDDhruv Garg
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2020 – today
- 2023
[j3]Aditya Upadhyay, Dhruv Garg, Mukesh Singh:
Short Term Load Forecasting for Smart Grids Using Apache Spark and a Modified Transformer Model. Comput. Informatics 42(1): 75-97 (2023)- [j2]Sachin Kansal, Dhruv Garg, Aditya Upadhyay, Snehil Mittal, Guneet Singh Talwar:
DL-AMPUT-EEG: Design and development of the low-cost prosthesis for rehabilitation of upper limb amputees using deep-learning-based techniques. Eng. Appl. Artif. Intell. 126: 106990 (2023) - [j1]Sachin Kansal, Dhruv Garg, Aditya Upadhyay, Snehil Mittal, Guneet Singh Talwar:
A novel deep learning approach to predict subject arm movements from EEG-based signals. Neural Comput. Appl. 35(16): 11669-11679 (2023) - [c4]Harshit Daga
, Jaemin Shin, Dhruv Garg, Ada Gavrilovska, Myungjin Lee, Ramana Rao Kompella:
Flame: Simplifying Topology Extension in Federated Learning. SoCC 2023: 341-357 - [c3]Arani Bhattacharya, Paritosh Shukla, Ansuman Banerjee, Saumya Jaipuria, Nanjangud C. Narendra, Dhruv Garg:
Multitask Scheduling of Computer Vision Workload on Edge Graphical Processing Units. COMSNETS 2023: 588-593 - [i3]Harshit Daga, Jaemin Shin, Dhruv Garg, Ada Gavrilovska, Myungjin Lee, Ramana Rao Kompella:
Federated Learning Operations Made Simple with Flame. CoRR abs/2305.05118 (2023) - [i2]Alind Khare, Dhruv Garg, Sukrit Kalra, Snigdha Grandhi, Ion Stoica, Alexey Tumanov:
SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads. CoRR abs/2312.16733 (2023) - 2022
- [c2]Dhruv Garg, Neeraj Kumar, Nazeeruddin Mohammad:
An Intelligent Machine Learning Approach for Smart Grid Theft Detection. WoWMoM 2022: 507-514 - 2021
- [i1]Dhruv Garg, Nanjangud C. Narendra, Selome Tesfatsion:
Heuristic and Reinforcement Learning Algorithms for Dynamic Service Placement on Mobile Edge Cloud. CoRR abs/2111.00240 (2021) - 2020
- [c1]Dhruv Garg, Prathik Shirolkar, Anshu Shukla, Yogesh Simmhan:
TorqueDB: Distributed Querying of Time-Series Data from Edge-local Storage. Euro-Par 2020: 281-295
Coauthor Index
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