De-snowing LiDAR Point Clouds With Intensity and Spatial-Temporal Features | 0 | 0.34 | 2022 |
PPD: A Scalable and Efficient Parallel Primal-Dual Coordinate Descent Algorithm | 0 | 0.34 | 2022 |
AMMASurv - Asymmetrical Multi-Modal Attention for Accurate Survival Analysis with Whole Slide Images and Gene Expression Data. | 0 | 0.34 | 2021 |
Integration of Patch Features Through Self-supervised Learning and Transformer for Survival Analysis on Whole Slide Images | 0 | 0.34 | 2021 |
VarLenMARL: A Framework of Variable-Length Time-Step Multi-Agent Reinforcement Learning for Cooperative Charging in Sensor Networks | 1 | 0.34 | 2021 |
FlagLoc: Localization Using a Flag for Mobile Wireless Sensor Networks with Measurement Errors | 0 | 0.34 | 2020 |
TRiForm: Formation Control for Underwater Sensor Networks With Measurement Errors | 0 | 0.34 | 2020 |
SDAE-GAN: Enable high-dimensional pathological images in liver cancer survival prediction with a policy gradient based data augmentation method. | 0 | 0.34 | 2020 |
GROLO: Realistic Range-based Localization for Mobile IoTs through Global Rigidity | 1 | 0.36 | 2019 |
Cross-Modal Attentional Context Learning for RGB-D Object Detection. | 9 | 0.54 | 2019 |
ProLo: Localization via Projection for Three-Dimensional Mobile Underwater Sensor Networks. | 1 | 0.36 | 2019 |
Real-Time Continuous Action Recognition Using Pose Contexts With Depth Sensors | 0 | 0.34 | 2018 |
PeMapNet: Action Recognition from Depth Videos Using Pyramid Energy Maps on Neural Networks | 0 | 0.34 | 2017 |
Triangle Extension: Efficient Localizability Detection in Wireless Sensor Networks. | 1 | 0.36 | 2017 |
Weighted Low-Rank Decomposition for Robust Grayscale-Thermal Foreground Detection. | 25 | 0.72 | 2017 |
Efficient Algorithms for Temporal Path Computation. | 11 | 0.60 | 2016 |
Identification of Partitions in a Homogeneous Activity Group Using Mobile Devices. | 4 | 0.55 | 2016 |
SGraph: A Distributed Streaming System for Processing Big Graphs. | 0 | 0.34 | 2016 |
Dynamic collaborative in-network event detection in wireless sensor networks | 4 | 0.44 | 2016 |
Core decomposition in large temporal graphs. | 7 | 0.41 | 2015 |
CCM: Low cost dynamic data exchange to emulate RAM on NAND flash | 0 | 0.34 | 2014 |
CACC: A Cooperative Approachto Cache Consistency in WMNs | 1 | 0.36 | 2014 |
Understanding query interfaces by statistical parsing | 7 | 0.52 | 2013 |
Robust and Dynamic Data Aggregation in Wireless Sensor Networks: A Cross-Layer Approach | 4 | 0.41 | 2013 |
Pattern-based event detection in sensor networks | 8 | 0.72 | 2012 |
RES: A Robust and Efficient Snapshot Algorithm for Wireless Sensor Networks | 2 | 0.39 | 2012 |
Adaptive Traffic Light Control of Multiple Intersections in WSN-Based ITS | 29 | 2.07 | 2011 |
A Cooperative Approach to Cache Consistency Maintenance in Wireless Mesh Networks | 1 | 0.36 | 2011 |
Energy Efficient Clustering For Wsn-Based Structural Health Monitoring | 26 | 1.43 | 2011 |
iSensNet: an infrastructure for research and development in wireless sensor networks | 0 | 0.34 | 2010 |
Adaptive holistic scheduling for query processing in sensor networks | 3 | 0.40 | 2010 |
Adaptive Traffic Light Control In Wireless Sensor Network-Based Intelligent Transportation System | 38 | 3.10 | 2010 |
Quality aware query scheduling in wireless sensor networks | 6 | 0.56 | 2009 |
Supporting Adaptive Sampling In Wireless Sensor Networks | 3 | 0.40 | 2007 |
VMNet: Realistic Emulation of Wireless Sensor Networks | 15 | 0.80 | 2007 |
System design issues in sensor databases | 4 | 0.42 | 2007 |
Distributed Cross-Layer Scheduling for In-Network Sensor Query Processing | 22 | 1.00 | 2006 |
MEADOWS: modeling, emulation, and analysis of data of wireless sensor networks | 4 | 0.40 | 2004 |
The HKUST Frog Pond - A Case Study of Sensory Data Analysis | 1 | 0.36 | 2004 |
Accurate Emulation of Wireless Sensor Networks | 4 | 0.60 | 2004 |