arXiv research

This work interprets GELU and related activations via a first-order loss function.

Transmission imaging, as an important imaging technique widely used in astronomy, medical diagnosis, and biology science, has been shown in [49] quite different from reflection imaging used in our everyday life. Understanding the structures of images (the prior information) is important for designing, testing, and choo…

This paper determines gear geometries for specific transmission functions.

Stochastic models analyze traffic network performance.

New framework analyzes belief evolution in social networks.

Study time-dependent scattering on manifolds, resolving conjectures.

Modeling infection hotspots to quantify effects of contact tracing and testing.

This paper uses deep reinforcement learning to automate electric transmission voltage control.

New method shows cultural transmission improves language compositionality.

Researchers use statistical methods to infer transmission matrices in complex media.

DPGIIL clusters structural anomalies using transmissibility functions with deep learning and Dirichlet process.

This paper considers a transmission control problem in network-coded two-way relay channels (NC-TWRC), where the relay buffers random symbol arrivals from two users, and the channels are assumed to be fading. The problem is modeled by a discounted infinite horizon Markov decision process (MDP). The objective is to find…

A new model characterizes undocumented and asymptomatic infections to quantify COVID-19 uncertainties.

Anomaly detection identifies unusual malaria transmission patterns in Ghana.

In this note, we present some interesting observations on the Schiffer's conjecture, interior transmission eigenvalue problem and their connections to singular and nonsingular invisibility cloaking problems of acoustic waves.

Linear problems appear in a variety of disciplines and their application for the transmission matrix recovery is one of the most stimulating challenges in biomedical imaging. Its knowledge turns any random media into an optical tool that can focus or transmit an image through disorder. Here, converting an input-output …

Traders and investors involved in an option contract having the underlying stock in range bound are likely to lose their initial investment. Timing in buying an option contract is of capital importance. In a recent article [1] the hypothesis of range bound market is used in conjunction to Black-Scholes equation to find…

We propose a joint source and channel coding (JSCC) technique for wireless image transmission that does not rely on explicit codes for either compression or error correction; instead, it directly maps the image pixel values to the complex-valued channel input symbols. We parameterize the encoder and decoder functions b…

DeepJSCC-f uses feedback to improve image transmission quality.

Mathematical framework for cooperative communication explains belief transmission.

In this paper, wireless video transmission to multiple users under total transmission power and minimum required video quality constraints is studied. In order to provide the desired performance levels to the end-users in real-time video transmissions while using the energy resources efficiently, we assume that power c…

In agreement with the recent research findings in the econophysics, we propose that the nonlinear dynamic chaos can be generated by the turbulent capital flows in both the quantitative easing transmission channels and the transaction networks channels, when there are the laminar turbulent capital flows transitions in t…

Study forecasts cholera outbreaks in Malawi using dynamic models.

Model for cross-border markets with limited transmission capacities.

Novel method detects faults in helicopter transmissions using healthy data only.

A new method for energy-efficient file delivery in small cell networks.

Study investigates FL performance over a noisy downlink, showing analog approach outperforms digital.

Spreading processes are often modelled as a stochastic dynamics occurring on top of a given network with edge weights corresponding to the transmission probabilities. Knowledge of veracious transmission probabilities is essential for prediction, optimization, and control of diffusion dynamics. Unfortunately, in most ca…

Oil markets profoundly influence world economies through determination of prices of energy and transports. Using novel methodology devised in frequency domain, we study the information transmission mechanisms in oil-based commodity markets. Taking crude oil as a supply-side benchmark and heating oil and gasoline as dem…

Optimizes variational autoencoder for detecting missing data in Mars rover transmissions.

Reproductive success and survival are influenced by wealth in human populations. Wealth is transmitted to offsprings and strategies of transmission vary over time and among populations, the main variation being how equally wealth is transmitted to children. Here we propose a model where we simulate both the dynamics of…

Scheduling the transmission of time-sensitive data to multiple users over error-prone communication channels is studied with the goal of minimizing the long-term average age of information (AoI) at the users under a constraint on the average number of transmissions at the source node. After each transmission, the sourc…

New method reconstructs strain and lattice spacing from neutron data.

Study examines robustness of NPI effectiveness models against COVID-19.

Multiplex Network Hawkes model for systemic risk measurement

New pricing framework allocates costs of operating reserves and transmission.

Geopolitical and geoeconomic shocks affect sovereign risk differently, with distinct transmission channels.

IBPF algorithm tackles high-dimensional parameter learning for complex systems.

The weighted and directed network of countries based on the number of overseas banks is analyzed in terms of its fragility to the banking crisis of one country. We use two different models to describe transmission of shocks, one local and the other global. Depending on the original source of the crisis, the overall siz…

The paper develops algorithms to minimize queue length regret in a communication system.

Kernel estimator optimally recovers function from noisy exponential Radon transform.

Wireless communication systems operate in complex time-varying environments. Therefore, selecting the optimal configuration parameters in these systems is a challenging problem. For wireless links, \emph{rate selection} is used to select the optimal data transmission rate that maximizes the link throughput subject to a…

Market trade-routes can support infectious-disease transmission, impacting biological populations and even disrupting causal trade. Epidemiological models increasingly account for reductions in infectious contact, such as risk-aversion behaviour in response to pathogen outbreaks. However, market dynamics clearly differ…

In distributed optimization and machine learning, multiple nodes coordinate to solve large problems. To do this, the nodes need to compress important algorithm information to bits so that it can be communicated over a digital channel. The communication time of these algorithms follows a complex interplay between a) the…

This study analyzes satellite communication latency using a stochastic geometry model.

Optimizes pipelined computation and communication for edge learning within latency constraints.

We propose a globally convergent alternating minimization (AM) algorithm for image reconstruction in transmission tomography, which extends automatic relevance determination (ARD) to Poisson noise models with Beer's law. The algorithm promotes solutions that are sparse in the pixel/voxel-differences domain by introduci…

Let $R$ be a compact surface and let $Γ$ be a Jordan curve which separates $R$ into two connected components $Σ_1$ and $Σ_2$. A harmonic function $h_1$ on $Σ_1$ of bounded Dirichlet norm has boundary values $H$ in a certain conformally invariant non-tangential sense on $Γ$. We show that if $Γ$ is a quasicircle, then th…