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08/02/2023
Towards Integrated Sensing and Communications for 6G: A Standardization Perspective
The radio communication division of the International Telecommunication ...
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02/15/2023
Indexed Multiple Access with Reconfigurable Intelligent Surfaces: The Reflection Tuning Potential
Indexed modulation (IM) is an evolving technique that has become popular...
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10/20/2022
Causally-guided Regularization of Graph Attention Improves Generalizability
However, the inferred attentions are vulnerable to spurious correlations...
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10/18/2022
Granger causal inference on DAGs identifies genomic loci regulating transcription
When a dynamical system can be modeled as a sequence of observations, Gr...
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02/18/2021
Consenting to Internet of Things Across Different Social Settings
Devices connected to the Internet of Things (IoT) are rapidly becoming u...
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09/22/2020
Ultra-dense Low Data Rate (UDLD) Communication in the THz
In the future, with the advent of Internet of Things (IoT), wireless sen...
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03/16/2020
SHINE (Strategies for High-frequency INdoor Environments) with Efficient THz-AP Placement
The increasing demand for ultra-high throughput in ultra-dense networks ...
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02/21/2020
Green Security Game with Community Engagement
While game-theoretic models and algorithms have been developed to combat...
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01/30/2020
An Analytical Model for Efficient Indoor THz Access Point Deployment
Ultra-densification of user equipment (UE) and access points (APs) are a...
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11/13/2019
MOTH- Mobility-induced Outages in THz: A Beyond 5G (B5G) application
5G will enable the growing demand for Internet of Things (IoT), high-res...
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11/13/2019
Reliable THz Communications for Outdoor based Applications- Use Cases and Methods
Future (beyond 5G) wireless networks will demand high throughput and low...
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08/23/2019
Parameter Modeling for Small-Scale Mobility in Indoor THz Communication
Despite such challenges as high path loss and equipment cost, THz commun...
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03/08/2019
Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations
Illegal wildlife poaching threatens ecosystems and drives endangered spe...
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01/17/2019
Applying SVGD to Bayesian Neural Networks for Cyclical Time-Series Prediction and Inference
A regression-based BNN model is proposed to predict spatiotemporal quant...
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11/06/2018
Deep Reinforcement Learning for Green Security Games with Real-Time Information
Green Security Games (GSGs) have been proposed and applied to optimize p...
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10/18/2018
Pyro: Deep Universal Probabilistic Programming
Pyro is a probabilistic programming language built on Python as a platfo...
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05/05/2018
