Results 111 to 120 of about 60,468 (320)
ABSTRACT Vision‐based deep learning models have been widely adopted in autonomous agents, such as unmanned aerial vehicles (UAVs), particularly in reactive control policies that serve as a key component of navigation systems. These policies enable agents to respond instantaneously to dynamic environments without relying on pre‐existing maps.
Yingxiu Chang +4 more
wiley +1 more source
In this treatise we characterise the achievable performance of a proprietary video transmission system, which employs a Constant Bit Rate (CBR) video codec that is concatenated with one of three error correction codecs, namely a Reversible Variable ...
Hanzo, L. +3 more
core
Distributed AutoML framework for multi‐objective optimization of concrete crack segmentation models
Abstract Monitoring cracks in concrete surfaces is essential for structural safety. While machine vision techniques have received significant interest in this domain, selecting optimal models and tuning hyperparameters remain challenging. This paper proposes a Distributed Automated Machine Learning (AutoML) framework for efficiently designing and ...
Armin Dadras Eslamlou +3 more
wiley +1 more source
An improved phylogeny and revised taxonomy of Catillariaceae (Lecanoromycetes, Ascomycota)
Abstract The boundaries of the family Catillariaceae have largely remained untested through phylogenetic methods. Recent studies have led to the transfer of several genera previously classified in Catillariaceae to the newly described family Leprocaulaceae. Despite these changes, the distinction between Catillariaceae, Leprocaulaceae, and Catinariaceae
Måns Svensson +2 more
wiley +1 more source
Unsupervised Work Behavior Pattern Extraction Based on Hierarchical Probabilistic Model
In this study, we address the challenge of analyzing worker behaviors in high‐mix, low‐volume production environments, where traditional supervised learning methods struggle owing to the lack of labeled data and task variability among workers. To overcome these issues, we propose a novel hierarchical approach for unsupervised behavior pattern ...
Issei Saito +5 more
wiley +1 more source
Concatenating quantum error-correcting codes with decoherence-free subspaces and vice versa
Close to the published version; 13 pages, 8 ...
Nihar Ranjan Dash +3 more
openaire +2 more sources
Abstract Data is the key element that runs the modern society. Large amounts of data are being released day by day as a result of many activities. The digital data is transferred through the Internet which may be vulnerable to attacks while transmitting. Especially, the medical data is observed to be of at most importance.
Rupa Ch +4 more
wiley +1 more source
Noisy quantum trees: infinite protection without correction
We study quantum networks with tree structures, in which information propagates from a root to leaves. At each node in the network, the received qubit unitarily interacts with fresh ancilla qubits, after which each qubit is sent through a noisy channel ...
Shiv Akshar Yadavalli, Iman Marvian
doaj +1 more source
UNO: Unified Self‐Supervised Monocular Odometry for Platform‐Agnostic Deployment
ABSTRACT This work presents UNO, a unified monocular visual odometry framework that enables robust and adaptable pose estimation across diverse environments, platforms and motion patterns. Unlike traditional methods that rely on deployment‐specific tuning or predefined motion priors, our approach generalises effectively across a wide range of real ...
Wentao Zhao +7 more
wiley +1 more source
Abstract While the geographical distribution of eviction filings has been explored in Toronto, the intersection of rental housing financialization, race and eviction remains underexplored. Financial actors and their intermediaries, who fuel the eviction crisis in economically disenfranchised Black renter communities, exert significant influence over ...
Nemoy Lewis +2 more
wiley +1 more source

