Given the degree sequence $d$ of a graph, the realization graph of $d$ is the graph having as its vertices the labeled realizations of $d$, with two …

Arabic is a widely-spoken language with a long and rich history, but existing corpora and language technology focus mostly on modern Arabic and its v…

There are typically several nonisomorphic graphs having a given degree sequence, and for any two degree sequence terms it is often possible to find a…

Wrist-bands such as smartwatches have become an unobtrusive interface for collecting physiological and contextual data from users. Smartwatches are b…

Arabic is a widely-spoken language with a rich and long history spanning more than fourteen centuries. Yet existing Arabic corpora largely focus on t…

We present the exact thermodynamics (isochores, isotherms, isobars, response functions) of a statistically interacting quantum gas in D dimensions. T…

Sonification has more extended scopes as an effective method of biofeedback training. In this work, we have clustered the HRV metrices and have shown the potential of sonifying the HRV features. It is also visible from the plots that FCM clustering …

Linear and non-linear measures of heart rate variability (HRV) are widely investigated as non-invasive indicators of health. Stress has a profound im…

A k-ranking of a graph G is a labeling of the vertices of G with values from {1,...,k} such that any path joining two vertices with the same label co…

The neighborhood degree list (NDL) is a graph invariant that refines information given by the degree sequence and joint degree matrix of a graph and …

In the paper, we showed that through a particular decomposition and transformation, the TRPO algorithm can be extended to optimization of cooperative policies in multi-agent systems. This enabled the development of our MATRPO algorithm, which updat…

We extend trust region policy optimization (TRPO) to multi-agent reinforcement learning (MARL) problems. We show that the policy update of TRPO can b…

This paper considers constrained online dispatch with unknown arrival, reward and constraint distributions. We propose a novel online dispatch algori…

Wearable photoplethysmography (WPPG) has recently become a common technology in heart rate (HR) monitoring. General observation is that the motion ar…

Artificial neural networks which model the neurons and connecting architectures in brain have achieved great successes in many problems, especially t…

Artificial neural networks which are inspired from the learning mechanism of brain have achieved great successes in many problems, especially those w…

In this paper, we took one more step toward a more biologically plausible backpropagation for deep learning. After hierarchical convolutional neural network and fixed random synaptic feedback alignment, we believe iterative temporal differencing is …

This work shows that a differentiable activation function is not necessary any more for error backpropagation. The derivative of the activation funct…

The Age-of-Information (AoI) has recently been proposed as an important metric for investigating the timeliness performance in information-update sys…

We analyze the spin flip loss for ultracold neutrons in magnetic bottles of the type used in experiments aiming at a precise measurement of the neutr…

With the advent of Network Function Virtualization (NFV), Physical Network Functions (PNFs) are gradually being replaced by Virtual Network Functions…

We consider the load-balancing design for forwarding incoming flows to access points (APs) in high-density wireless networks with both channel fading…

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