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Found 28 papers, 6 papers with code
Robust Federated Learning for Wireless Networks: A Demonstration with Channel Estimation
Federated learning (FL) offers a privacy-preserving collaborative approach for training models in wireless networks, with channel estimation emerging as a promising application.
3D Cooperative Localization in UAV Systems: CRLB Analysis and Security Solutions
The MAGD adapts the gradient descent algorithm to handle the configuration changes in cooperative localization systems, ensuring accurate localization in dynamic scenarios.
Breaking of brightness consistency in optical flow with a lightweight CNN network
Modifying the typical brightness consistency of the optical flow method to the convolutional feature consistency yields the light-robust hybrid optical flow method.
Top-down Green-ups: Satellite Sensing and Deep Models to Predict Buffelgrass Phenology
An invasive species of grass known as "buffelgrass" contributes to severe wildfires and biodiversity loss in the Southwest United States.
A Reliable and Resilient Framework for Multi-UAV Mutual Localization
This paper presents a robust and secure framework for achieving accurate and reliable mutual localization in multiple unmanned aerial vehicle (UAV) systems.
Terahertz Communications and Sensing for 6G and Beyond: A Comprehensive View
Different from earlier surveys, this paper presents a comprehensive treatment and technology survey on THz communications and sensing in terms of the advantages, applications, propagation characterization, channel modeling, measurement campaigns, antennas, transceiver devices, beamforming, networking, the integration of communications and sensing, and experimental testbeds.
KDSTM: Neural Semi-supervised Topic Modeling with Knowledge Distillation
In text classification tasks, fine tuning pretrained language models like BERT and GPT-3 yields competitive accuracy; however, both methods require pretraining on large text datasets.
Prompt-based Extraction of Social Determinants of Health Using Few-shot Learning
Social determinants of health (SDOH) documented in the electronic health record through unstructured text are increasingly being studied to understand how SDOH impacts patient health outcomes.
$GRU^{spa}$: Gated Recurrent Unit with Spatial Attention for Spatio-Temporal Disaggregation
The spatial attention layers capture spatial interactions among regions, while the gated recurrent module captures the temporal dependencies.
A Secure and Robust Approach for Distance-Based Mutual Positioning of Unmanned Aerial Vehicles
Unmanned aerial vehicle (UAV) is becoming increasingly important in modern civilian and military applications.
LeafAI: query generator for clinical cohort discovery rivaling a human programmer
Conclusions: Our work contributes a state-of-the-art data model-agnostic query generation system capable of conditional reasoning using a knowledge base.
Adapting to Skew: Imputing Spatiotemporal Urban Data with 3D Partial Convolutions and Biased Masking
To ensure coverage and utility, we adapt computer vision techniques for image inpainting to operate on 3D histograms (2D space + 1D time) commonly used for data exchange in urban settings.
Trust-Awareness to Secure Swarm Intelligence from Data Injection Attack
Enabled by the emerging industrial agent (IA) technology, swarm intelligence (SI) is envisaged to play an important role in future industrial Internet of Things (IIoT) that is shaped by Sixth Generation (6G) mobile communications and digital twin (DT).
Artificial ASMR: A Cyber-Psychological Approach
The popularity of Autonomous Sensory Meridian Response (ASMR) has skyrockted over the past decade, but scientific studies on what exactly triggered ASMR effect remain few and immature, one most commonly acknowledged trigger is that ASMR clips typically provide rich semantic information.
Optimization of Forcemyography Sensor Placement for Arm Movement Recognition
To study the effectiveness of our optimization algorithm, a dataset for mechanical maintenance tasks using FMG armbands with 16 sensors is collected.
Modeling the System-Level Reliability towards a Convergence of Communication, Computing and Control
Enabled and driven by modern advances in wireless telecommunication and artificial intelligence, the convergence of communication, computing, and control is becoming inevitable in future industrial applications.
Massive Twinning to Enhance Emergent Intelligence
As a complement to conventional AI solutions, emergent intelligence (EI) exhibits competitiveness in 6G IIoT scenario for its various outstanding features including robustness, protection to privacy, and scalability.
Window Filtering Algorithm for Pulsed Light Coherent Combining of Low Repetition Frequency
The multi-dithering method has been well verified in phase locking of polarization coherent combination experiment.
BVMatch: Lidar-based Place Recognition Using Bird's-eye View Images
Recognizing places using Lidar in large-scale environments is challenging due to the sparse nature of point cloud data.
Users' Perception of Search Engine Biases and Satisfaction
We found out that users prefer results that are more consistent and relevant to the search queries.
The Road Towards 6G: A Comprehensive Survey
As of today, the fifth generation (5G) mobile communication system has been rolled out in many countries and the number of 5G subscribers already reaches a very large scale.
AI-Empowered VNF Migration as a Cost-Loss-Effective Solution for Network Resilience
With a wide deployment of Multi-Access Edge Computing (MEC) in the Fifth Generation (5G) mobile networks, virtual network functions (VNF) can be flexibly migrated between difference locations, and therewith significantly enhances the network resilience to counter the degradation in quality of service (QoS) due to network function outages.
An Abstracted Survey on 6G: Drivers, Requirements, Efforts, and Enablers
As of today, 5G mobile systems have been already widely rolled out, it is the right time for academia and industry to explore the next generation mobile communication system beyond 5G.
Networking and Internet Architecture
In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction
We compared predictive performance and fairness of these models against two methods that are currently used in the justice system to predict pretrial recidivism: the Arnold PSA and COMPAS.
Machine Learning for Network Slicing Resource Management: A Comprehensive Survey
The emerging technology of multi-tenancy network slicing is considered as an essential feature of 5G cellular networks.
AI-Aided Online Adaptive OFDM Receiver: Design and Experimental Results
From the OTA test, the AI-aided OFDM receivers, especially the SwitchNet receiver, are robust to real environments and promising for future communication systems.
Slice as an Evolutionary Service: Genetic Optimization for Inter-Slice Resource Management in 5G Networks
In the context of Fifth Generation (5G) mobile networks, the concept of "Slice as a Service" (SlaaS) promotes mobile network operators to flexibly share infrastructures with mobile service providers and stakeholders.
Image Inpainting Using Directional Tensor Product Complex Tight Framelets
In this paper, we establish the grouping effect property for frame-based convex minimization models using the balanced approach.
