Real-Time Task Scheduling for Machine Perception in Intelligent Cyber-Physical Systems | 5 | 0.42 | 2022 |
Anytime-Lidar: Deadline-aware 3D Object Detection | 0 | 0.34 | 2022 |
Self-Cueing Real-Time Attention Scheduling in Criticality-Aware Visual Machine Perception | 2 | 0.36 | 2022 |
CrossRoI: Cross-camera Region of Interest Optimization for Efficient Real Time Video Analytics at Scale | 1 | 0.35 | 2021 |
Deep Compressive Offloading: Speeding Up Edge Offloading for AI Services | 1 | 0.35 | 2021 |
Contrastive Self-Supervised Representation Learning for Sensing Signals from the Time-Frequency Perspective | 1 | 0.35 | 2021 |
Audio Keyword Reconstruction from On-Device Motion Sensor Signals via Neural Frequency Unfolding. | 1 | 0.38 | 2021 |
Truth Discovery With Multi-Modal Data in Social Sensing | 1 | 0.35 | 2021 |
Computational Modeling of Hierarchically Polarized Groups by Structured Matrix Factorization | 0 | 0.34 | 2021 |
DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction | 0 | 0.34 | 2021 |
paper2repo: GitHub Repository Recommendation for Academic Papers | 0 | 0.34 | 2020 |
Five challenges in cloud-enabled intelligence and control | 4 | 0.43 | 2020 |
ControlVAE: Controllable Variational Autoencoder | 0 | 0.34 | 2020 |
Misinformation Detection and Adversarial Attack Cost Analysis in Directional Social Networks | 0 | 0.34 | 2020 |
Deep compressive offloading: speeding up neural network inference by trading edge computation for network latency | 8 | 0.46 | 2020 |
DeepMV: Multi-View Deep Learning for Device-Free Human Activity Recognition | 1 | 0.35 | 2020 |
Multiscale online media simulation with SocialCube | 0 | 0.34 | 2020 |
AMVP: Adaptive CNN-based Multitask Video Processing on Mobile Stream Processing Platforms | 0 | 0.34 | 2020 |
Scheduling Real-time Deep Learning Services as Imprecise Computations | 6 | 0.45 | 2020 |
GIobalFusion: A Global Attentional Deep Learning Framework for Multisensor Information Fusion | 1 | 0.35 | 2020 |
Hierarchical Overlapping Belief Estimation by Structured Matrix Factorization | 0 | 0.34 | 2020 |
On Removing Algorithmic Priority Inversion from Mission-critical Machine Inference Pipelines | 7 | 0.46 | 2020 |
Handling Missing Sensors in Topology-Aware IoT Applications with Gated Graph Neural Network | 2 | 0.37 | 2020 |
STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks | 3 | 0.38 | 2019 |
Stardust: A deep learning serving system in IoT: demo abstract | 0 | 0.34 | 2019 |
DeepFusion: A Deep Learning Framework for the Fusion of Heterogeneous Sensory Data | 2 | 0.50 | 2019 |
GreenRoute: A Generalizable Fuel-Saving Vehicular Navigation Service | 0 | 0.34 | 2019 |
SADeepSense: Self-Attention Deep Learning Framework for Heterogeneous On-Device Sensors in Internet of Things Applications | 1 | 0.35 | 2019 |
Athena: Towards Decision-Centric Anticipatory Sensor Information Delivery. | 3 | 0.43 | 2018 |
CoDrive: Cooperative Driving Scheme for Vehicles in Urban Signalized Intersections | 2 | 0.38 | 2018 |
Deep Learning for the Internet of Things. | 10 | 0.51 | 2018 |
A Constrained Maximum Likelihood Estimator for Unguided Social Sensing. | 0 | 0.34 | 2018 |
A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling. | 0 | 0.34 | 2018 |
FastDeepIoT: Towards Understanding and Optimizing Neural Network Execution Time on Mobile and Embedded Devices. | 18 | 0.77 | 2018 |
A predictive Self-Configuring Simulator for Online Media. | 0 | 0.34 | 2018 |
QualityDeepSense: Quality-Aware Deep Learning Framework for Internet of Things Applications with Sensor-Temporal Attention. | 1 | 0.34 | 2018 |
Towards Environment Independent Device Free Human Activity Recognition. | 34 | 0.82 | 2018 |
ApDeepSense: Deep Learning Uncertainty Estimation without the Pain for IoT Applications | 3 | 0.36 | 2018 |
SenseGAN: Enabling Deep Learning for Internet of Things with a Semi-Supervised Framework. | 1 | 0.41 | 2018 |
Optimal Capacity-Delay Tradeoff in MANETs With Correlation of Node Mobility. | 0 | 0.34 | 2017 |
Optimizing Source Selection In Social Sensing In The Presence Of Influence Graphs | 1 | 0.36 | 2017 |
On the improvement of classifying EEG recordings using neural networks. | 0 | 0.34 | 2017 |
VibeBin: A Vibration-Based Waste Bin Level Detection System. | 2 | 0.45 | 2017 |
Demo: Unsupervised Fill-level Estimation for Smart Trash Removal Systems. | 0 | 0.34 | 2017 |
DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework. | 22 | 0.68 | 2017 |
DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing. | 67 | 1.81 | 2017 |
GreenDrive: a smartphone-based intelligent speed adaptation system with real-time traffic signal prediction. | 6 | 0.57 | 2017 |
Decision-Driven Execution: A Distributed Resource Management Paradigm For The Age Of Iot | 0 | 0.34 | 2017 |
On Source Dependency Models for Reliable Social Sensing: Algorithms and Fundamental Error Bounds | 7 | 0.59 | 2016 |
An Experimental Evaluation of Datacenter Workloads On Low-Power Embedded Micro Servers. | 3 | 0.44 | 2016 |