Results 91 to 100 of about 226,052 (275)

Distributed Black-Box optimization via Error Correcting Codes [PDF]

2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2019
We introduce a novel distributed derivative-free optimization framework that is resilient to stragglers. The proposed method employs coded search directions at which the objective function is evaluated, and a decoding step to find the next iterate. Our framework can be seen as an extension of evolution strategies and structured exploration methods ...
Bartan, Burak, Pilanci, Mert
openaire   +2 more sources

Raman‐based label‐free microscopic analysis of the pancreas in living zebrafish larvae

FEBS Open Bio, EarlyView.
Forward stimulated Raman scattering (F‐SRS) and epi coherent anti‐Stokes Raman scattering (E‐CARS) allow label‐free discrimination of distinct subcellular structures in the pancreas of living zebrafish larvae. Given the straightforward applicability, we anticipate broad implementation of Raman microscopy in other organs and across various biomedical ...
Noura Faraj, Eline M. F. de Lange, Klaas A. Sjollema, Ben N. G. Giepmans   +3 more
wiley   +1 more source

Mycobacterial cell division arrest and smooth‐to‐rough envelope transition using CRISPRi‐mediated genetic repression systems

FEBS Open Bio, EarlyView.
CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point, Wafaa Achache, Janïs Laudouze, Eliana Sepulveda Ramos, Mickaël Maziero, Céline Crauste, Stéphane Canaan, Pierre Santucci   +7 more
wiley   +1 more source

Sustainable bioplastics manufacturing from renewable sources

FEBS Open Bio, EarlyView.
Bioplastics are manufactured by using polymers from different bio‐based sources. These novel materials not only offer biodegradability but also possess various functional properties that make them suitable for diverse applications. Recent developments in the preparation of bioplastics are reported, highlighting the distinct properties of each type of ...
C. Valeria L. Giosafatto, Marika Avitabile, Michela Famiglietti, Talayeh Kordjazi, Marzieh Moosavi‐Nasab, Odile F. Restaino, Loredana Mariniello   +6 more
wiley   +1 more source

Boundary Black-box Adversarial Example Generation Algorithm on Video Recognition Models [PDF]

Jisuanji kexue
With the rapid development of deep learning,neural networks are widely used in various fields.However,neural networks still face the problem of adversarial attacks.Among all types of adversarial attacks,the boundary black-box attack can only obtain the ...
JING Yulin, WU Lijun, LI Zhiyuan, DENG Qi
doaj   +1 more source

Opening the black boxes in data flow optimization [PDF]

Proceedings of the VLDB Endowment, 2012
Many systems for big data analytics employ a data flow abstraction to define parallel data processing tasks. In this setting, custom operations expressed as user-defined functions are very common. We address the problem of performing data flow optimization at this level of abstraction, where the semantics of operators are not known.
Hueske, Fabian, Peters, Mathias, Sax, Matthias, Rheinländer, Astrid, Bergmann, Rico, Krettek, Aljoscha, Tzoumas, Kostas   +6 more
openaire   +2 more sources

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

DG2: A Faster and More Accurate Differential Grouping for Large-Scale Black-Box Optimization

IEEE Transactions on Evolutionary Computation, 2017
Identification of variable interaction is essential for an efficient implementation of a divide-and-conquer algorithm for large-scale black-box optimization. In this paper, we propose an improved variant of the differential grouping (DG) algorithm, which
M. Omidvar, Ming Yang, Yi Mei, Xiaodong Li, X. Yao   +4 more
semanticscholar   +1 more source

On D-optimality based trust regions for black-box optimization problems [PDF]

Structural and Multidisciplinary Optimization, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Driessen, L., Brekelmans, R.C.M., Hamers, H.J.M., Hertog, D. den   +3 more
openaire   +6 more sources

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source