Evolutionary synthesis of analog networks

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Aircraft-based monitoring of wildlife is a popular way among conservation practitioners to obtain animal population counts over large areas. Nowadays, these aerial censuses are becoming increasingly scalable due to the advent of drone technology, which is ...

In the classical NP-hard (metric) 𝑘-median problem, we are given a set of 𝑛 clients and centers with metric distances between them, along with an integer parameter 𝑘 ≥ 1. The objective is to select a subset of 𝑘 open centers that minimizes the total distan ...

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Humans are chronically exposed to airborne microplastics (MPs) by inhalation. Various types of polymer particles have been detected in lung samples, which could pose a threat to human health. Inhalation toxicological studies are crucial for assessing the e ...

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Growing evidence indicates that transposable elements (TEs) play important roles in evolution by providing genomes with coding and non-coding sequences. Identification of TE-derived functional elements, however, has relied on TE annotations in individual s ...

How to measure students' Computational Problem-Solving (CPS) competencies is an ongoing research topic. Prevalent approaches vary by measurement tools (e.g., interactive programming, multiple-choice tests, or programming-independent tests) and task types ( ...

Given a sequence of functions

f_1,\ldots,f_n

with

f_i:\mathcal{D}\mapsto \mathbb{R}

, finite-sum minimization seeks a point

{x}^\star \in \mathcal{D}

minimizing

\sum_{j=1}^nf_j(x)/n

. In this work, we propose a key twist into the finite-sum minimizat ...

Evolutionary synthesis of analog networks

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How to minimize the annotation effort in aerial wildlife surveys

A (2+ε)-Approximation Algorithm for Metric 𝑘-Median

Tactile Ergodic Coverage on Curved Surfaces

WNT signaling coordinately controls mouse limb bud outgrowth and establishment of the digit-interdigit pattern

Generative models for synthetic data generation: application to pharmacokinetic/pharmacodynamic data

Graph generative deep learning models with an application to circuit topologies

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

The dynamic genetic determinants of increased transcriptional divergence in spermatids

Reconstruction and analysis of genome-scale metabolic networks in single organisms and microbial communities

Which Coupled is Best Coupled? An Exploration of AIMC Tile Interfaces and Load Balancing for CNNs

Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation

A ride time-oriented scheduling algorithm for dial-a-ride problems

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Data from: Optimal blade pitch control for enhanced vertical-axis wind turbine performance

The Two Times Problem: Where Is the Problem?

Inhalation of Microplastics—A Toxicological Complexity

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

Ancestral genome reconstruction enhances transposable element annotation by identifying degenerate integrants

A Comparative Analysis of Tools & Task Types for Measuring Computational Problem-Solving

Efficient Continual Finite-Sum Minimization