
Scalable Partial Explainability in Neural Networks via Flexible Activation Functions
Achieving transparency in blackbox deep learning algorithms is still an...
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Graph Layer Security: Encrypting Information via Common Networked Physics
The proliferation of low cost Internet of Things (IoT) devices demands n...
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Sampling and Inference of Networked Dynamics using LogKoopman Nonlinear Graph Fourier Transform
Networked nonlinear dynamics underpin the complex functionality of many ...
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Neural Network Approximation of Graph Fourier Transforms for Sparse Sampling of Networked Flow Dynamics
Infrastructure monitoring is critical for safe operations and sustainabi...
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Dynamic Complex Network Analysis of PM2.5 Concentrations in the UK using Hierarchical Directed Graphs
Worldwide exposure to fine atmospheric particles can exasperate the risk...
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Explainable Artificial Intelligence (XAI) for 6G: Improving Trust between Human and Machine
As the 5th Generation (5G) mobile networks are bringing about global soc...
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Green Deep Reinforcement Learning for Radio Resource Management: Architecture, Algorithm Compression and Challenge
AI heralds a stepchange in the performance and capability of wireless n...
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Forecasting Wireless Demand with Extreme Values using Feature Embedding in Gaussian Processes
Wireless traffic prediction is a fundamental enabler to proactive networ...
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Common Statistical Patterns in Urban Terrorism
The underlying reasons behind modern terrorism are seemingly complex and...
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Optimal Sampling of Water Distribution Network Dynamics using Graph Fourier Transform
Water Distribution Networks (WDNs) are critical infrastructures that ens...
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Assessing Simulations of Imperial Dynamics and Conflict in the Ancient World
The development of models to capture largescale dynamics in human histo...
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Simulating Imperial Dynamics and Conflict in the Ancient World
The development of models to capture largescale dynamics in human histo...
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Molecular Information Delivery in Porous Media
Information delivery via molecular signals is abundant in nature and pot...
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Deep Learning for Bridge Load Capacity Estimation in PostDisaster and Conflict Zones
Many postdisaster and conflict regions do not have sufficient data on ...
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Highdimensional Metric Combining for Noncoherent Molecular Signal Detection
In emerging InternetofNanoThing (IoNT), information will be embedded ...
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Sequential Bayesian Detection of Spike Activities from Fluorescence Observations
Extracting and detecting spike activities from the fluorescence observat...
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Communication System Design and Analysis for Asynchronous Molecular Timing Channels
Two new asynchronous modulation techniques for molecular timing (MT) cha...
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Stability of Traffic Load Balancing on Wireless Complex Networks
Load balancing between adjacent base stations (BS) is important for homo...
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Normal Inverse Gaussian Approximation for Arrival Time Difference in FlowInduced Molecular Communications
In this paper, we consider molecular communications in onedimensional f...
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Robust FuzzyLearning For Partially Overlapping Channels Allocation In UAV Communication Networks
In this paper, we consider a meshstructured unmanned aerial vehicle (UA...
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On FlowInduced Diffusive Mobile Molecular Communication: First Hitting Time and Performance Analysis
This work considers the problem of flowinduced diffusive molecular comm...
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Impact of Cooperation in FlowInduced Diffusive Mobile Molecular Communication
Motivated by the numerous healthcare applications of molecular communica...
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Universal Modelfree Information Extraction
Bayesian approaches have been used extensively in scientific and enginee...
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Molecular Communications with Longitudinal Carrier Waves: Baseband to Passband Modulation
Traditional molecular communications via diffusion (MCvD) systems have u...
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