Results 91 to 100 of about 21,828,896 (392)
Reservoir computing using dynamic memristors for temporal information processing
Nature Communications, 2017 Reservoir computing systems utilize dynamic reservoirs having short-term memory to project features from the temporal inputs into a high-dimensional feature space.
Chao Du +5 more
semanticscholar +1 more source
Engineering a QoS Provider Mechanism for Edge Computing with Deep Reinforcement Learning
, 2019 With the development of new system solutions that integrate traditional cloud computing with the edge/fog computing paradigm, dynamic optimization of service execution has become a challenge due to the edge computing resources being more distributed and ...
Carpio, Francisco +3 more
core +1 more source
From omics to AI—mapping the pathogenic pathways in type 2 diabetes
FEBS Letters, EarlyView.Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan +2 more
wiley +1 more source
ERBIN limits epithelial cell plasticity via suppression of TGF‐β signaling
FEBS Letters, EarlyView.In breast and lung cancer patients, low ERBIN expression correlates with poor clinical outcomes. Here, we show that ERBIN inhibits TGF‐β‐induced epithelial‐to‐mesenchymal transition in NMuMG breast and A549 lung adenocarcinoma cell lines. ERBIN suppresses TGF‐β/SMAD signaling and reduces TGF‐β‐induced ERK phosphorylation.
Chao Li +3 more
wiley +1 more source
Modelling Reservoir Computing with the Discrete Nonlinear Schr\"odinger Equation
, 2018 We formulate, using the discrete nonlinear Schroedinger equation (DNLS), a general approach to encode and process information based on reservoir computing. Reservoir computing is a promising avenue for realizing neuromorphic computing devices.
Boman, Magnus +2 more
core +1 more source
FEBS Letters, EarlyView.Knowing how proteases recognise preferred substrates facilitates matching proteases to applications. The S1′ pocket of protease EA1 directs cleavage to the N‐terminal side of hydrophobic residues, particularly leucine. The S1′ pocket of thermolysin differs from EA's at only one position (leucine in place of phenylalanine), which decreases cleavage ...
Grant R. Broomfield +3 more
wiley +1 more source
Computer image processing [PDF]
Nature, 1977 Digital Image Restoration. By H. C. Andrews and B. R. Hunt. Pp. xviii + 238.) Prentice-Hall International: Englewood Cliffs, New Jersey, and Hemel-Hempstead, UK, 1977.) £19.95; $31.75. Digital Picture Analysis. Edited by A. Rosenfeld. Pp. xiii + 351. (Springer: Berlin and New York, 1976.) DM72; $29.60. Image Science Mathematics. Edited by C. O.
openaire +2 more sources
FEBS Letters, EarlyView.The Arabidopsis mutants hls1 hlh1 and amp1 lamp1 exhibit pleiotropic developmental phenotypes. Although the functions of the causative genes remain unclear, they act in the same genetic pathway and are thought to generate non‐cell‐autonomous signals.
Takashi Nobusawa, Makoto Kusaba
wiley +1 more source
Computer-to-Computer Communication in the Acquisition Process
Information Technology and Libraries, 1981 Computer-to-Computer Communication in the Acquisition ...
openaire +4 more sources
, 2018 Network operators are facing significant challenges meeting the demand for more bandwidth, agile infrastructures, innovative services, while keeping costs low.
Lombardo, Francesco +6 more
core +1 more source