Results 101 to 110 of about 34,112,328 (298)

A Data-Driven Method for INS/DVL Alignment

open access: yesOCEANS 2025 - Great Lakes
Autonomous underwater vehicles (AUVs) are sophisticated robotic platforms crucial for a wide range of applications. The accuracy of AUV navigation systems is critical to their success. Inertial sensors and Doppler velocity logs (DVL) fusion is a promising solution for long-range underwater navigation.
Guy Damari, Itzik Klein
openaire   +3 more sources

An epithelial GPR35 isoform supports tumor‐associated transcriptional and metabolic phenotypes

open access: yesFEBS Letters, EarlyView.
GPR35 generates two functionally distinct isoforms with previously unresolved roles. GPR35‐short mediates immune‐cell chemotaxis, while GPR35‐long is enriched in colorectal cancer epithelium, where it supports increased metabolism, proliferation, and tumor‐associated transcriptional programs.
Jørgen D. Rønneberg   +14 more
wiley   +1 more source

Data Driven Start-Ups

open access: yes
Web scraped text of data-driven start-ups founded between 2010 and 2023. The data was used for data-driven business models analysis, identifying emergent trends and business models transformation over time.
Darold, Denilton   +1 more
core   +1 more source

Algorithms for data-driven H-norm estimation

open access: yes, 2019
In this chapter, the problem of estimating in a model-free manner the H∞ norm of a linear dynamic system is discussed at a tutorial level. Two recently developed methods for addressing this problem are presented, namely the power iterations method and a ...
Rojas, Cristian R.,, Müller, Matias I.
core   +1 more source

Research Progress on Data-Driven Industrial Fault Diagnosis Methods

open access: yesSensors
With the advent of Industry 5.0, fault diagnosis is playing an increasingly important role in routine equipment maintenance and condition monitoring. From the perspective of industrial big data, this paper systematically reviews the current mainstream ...
Liang Lei   +4 more
doaj   +1 more source

Data-Driven and Hybrid Methods for Naval Applications

open access: yes, 2020
The goal of this PhD thesis is to study, design and develop data analysis methods for naval applications. Data analysis is improving our ways to understand complex phenomena by profitably taking advantage of the information laying behind a collection of data. In fact, by adopting algorithms coming from the world of statistics and machine learning it is
openaire   +2 more sources

Nutrient/TOR signaling controls adipose mitochondrial transcription factor A (TFAM) to regulate organismal growth in Drosophila

open access: yesFEBS Letters, EarlyView.
Animals must match their growth rate to available nutrients. We show that in Drosophila larvae, the nutrient‐sensing TOR kinase controls growth by regulating levels of TFAM, a key regulator of mitochondrial function, in the adipose tissue. When nutrients are abundant, high TOR activity suppresses TFAM, lowering mitochondrial bioenergetic activity and ...
Shrivani Sriskanthadevan‐Pirahas   +4 more
wiley   +1 more source

Data-driven combinatorial optimization

open access: yes
Tong, GuangmoCombinatorial optimization problems, particularly those within the NP-hard and NP-complete classes, pose significant challenges due to their believed intractability in polynomial time.
Samizadeh, Mina
core   +1 more source

Peripheral lysosomes recruit PLEKHG3 to focal adhesions and restrain protrusion dynamics

open access: yesFEBS Letters, EarlyView.
Proximity‐dependent labeling at the LAMTOR complex revealed the Rho GEF PLEKHG3 as a lysosome‐proximal protein directing the study toward the influence of lysosome positioning on actin dynamics and cell motility. We show that PLEKHG3 colocalizes with lysosomes at focal adhesion sites and observe that forced peripheral dispersion of lysosomes hinders ...
Rainer Ettelt   +8 more
wiley   +1 more source

Multi-level data-driven approaches for voxel-wise quantification of dynamic PET images: application to [11C] WAY100635 data [PDF]

open access: yes, 2022
Questo lavoro di tesi presenta dei metodi data-driven per la quantificazione a livello di voxel di immagine dinamiche PET. Nello specifico si realizzano tre metodi in grado di compiere un analisi lineare sui dati sotto esame, cercando di rendere piu ...
Ceccato, Veronica
core  

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