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03/13/2023
Fractional dynamics foster deep learning of COPD stage prediction
Chronic obstructive pulmonary disease (COPD) is one of the leading cause...
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03/12/2023
Raising The Limit Of Image Rescaling Using Auxiliary Encoding
Normalizing flow models using invertible neural networks (INN) have been...
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03/04/2023
Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations
Coupled partial differential equations (PDEs) are key tasks in modeling ...
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01/25/2023
A Majority Logic Synthesis Framework For Single Flux Quantum Circuits
Exascale computing and its associated applications have required increas...
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01/24/2023
C-SAR: SAT Attack Resistant Logic Locking for RSFQ Circuits
Since the development of semiconductor technologies, exascale computing ...
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04/25/2022
End-to-end Mapping in Heterogeneous Systems Using Graph Representation Learning
To enable heterogeneous computing systems with autonomous programming an...
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04/24/2022
Secure Distributed/Federated Learning: Prediction-Privacy Trade-Off for Multi-Agent System
Decentralized learning is an efficient emerging paradigm for boosting th...
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11/08/2021
Trust-aware Control for Intelligent Transportation Systems
Many intelligent transportation systems are multi-agent systems, i.e., b...
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09/28/2021
Multiwavelet-based Operator Learning for Differential Equations
The solution of a partial differential equation can be obtained by compu...
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07/29/2021
Non-Markovian Reinforcement Learning using Fractional Dynamics
Reinforcement learning (RL) is a technique to learn the control policy f...
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03/16/2021
Learning Hyperbolic Representations of Topological Features
Learning task-specific representations of persistence diagrams is an imp...
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01/28/2021
VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text
Social media became popular and percolated almost all aspects of our dai...
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10/09/2020
A Vertex Cut based Framework for Load Balancing and Parallelism Optimization in Multi-core Systems
High-level applications, such as machine learning, are evolving from sim...
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04/05/2020
S4oC: A Self-optimizing, Self-adapting Secure System-on-Chip Design Framework to Tackle Unknown Threats – A Network Theoretic, Learning Approach
We propose a framework for the design and optimization of a secure self-...
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04/05/2020
Efficient Task Mapping for Manycore Systems
System-on-chip (SoC) has migrated from single core to manycore architect...
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12/20/2019
H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers – A Hierarchical Hybrid DRL (Deep Reinforcement Learning) based
Cloud computing has attracted both end-users and Cloud Service Providers...
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12/20/2019
H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers
Cloud computing has attracted both end-users and Cloud Service Providers...
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09/25/2019
Design Methodology for Energy Efficient Unmanned Aerial Vehicles
In this paper, we present a load-balancing approach to analyze and parti...
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11/02/2018
Learning Latent Fractional dynamics with Unknown Unknowns
Despite significant effort in understanding complex systems (CS), we lac...
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11/02/2018
Data-driven Perception of Neuron Point Process with Unknown Unknowns
Identification of patterns from discrete data time-series for statistica...
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06/17/2018
Approximate Submodular Functions and Performance Guarantees
We consider the problem of maximizing non-negative non-decreasing set fu...
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03/28/2018
Prediction-Based Fast Thermoelectric Generator Reconfiguration for Energy Harvesting from Vehicle Radiators
Thermoelectric generation (TEG) has increasingly drawn attention for bei...
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03/27/2018
Re-thinking EEG-based non-invasive brain interfaces: modeling and analysis
Brain interfaces are cyber-physical systems that aim to harvest informat...
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03/10/2018