Results 91 to 100 of about 135,120 (295)
Advanced Science, EarlyView.Computational and structure‐guided arginine scanning rewires the DNA‐binding interface of APE1 to create APE1‐Evo, a hyperactive yet specific AP endonuclease. Integrated into the NAPTUNE‐V2.0 cascade, APE1‐Evo enables amplification‐free, multiplex viral RNA sensing for dengue virus and influenza A/B, highlighting a general strategy for engineering ...
Junlan Wang +20 more
wiley +1 more source
Ciência Florestal, 2003 The effect of the pruning intensity on the production of Pinus elliottii Engelm. in Piratini, RS, was studied in a randomized block design with four treatments and four replications.
Juarez Hoppe Martins +1 more
doaj
IEEE AccessCurrently, existing garbage image classification models predominantly operate on low-end devices and encounter significant challenges, including limitations in computing resources, storage capacity, and classification accuracy.
Qiuxin Si, Sang Ik Han
doaj +1 more source
Composite neural network pruning for edge computing [PDF]
Deep neural networks (DNNs) are the foundation of modern machine learning applications, supporting various technologies from data analytics and chatbots to generative AI systems.
Eccles, Bailey Jack
core +1 more source
CLRe: A Synergistic Dual‐Engine Framework for One‐Step Retrosynthesis Prediction
Advanced Science, EarlyView.CLRe uses a contrastive difficulty score to order pretrained seq2seq fine‐tuning for retrosynthesis. Reaction embeddings define the ranking score, and a cumulative easy‐to‐hard schedule expands from the easiest subset to the full training set while earlier examples remain active.
Tianhao Su +5 more
wiley +1 more source
Hardware-Aware Pruning for Efficient Inference on Embedded Devices
IEEE AccessWith more powerful yet efficient embedded devices and accelerators being available for Deep Neural Networks (DNNs), machine learning is becoming an integral part of edge computing. In application scenarios with real-time requirements and multiple sensors
Martin Lechner, Axel Jantsch
doaj +1 more source
Bistable Networks Enable Complex Shape Changes
Advanced Science, EarlyView.Transition‐controlled metamaterials are networks of bistable mechanical memory that store local binary states and express them as global shape change. By decoupling low‐force programming from high‐force holding, a single lattice is reconfigured into distinct 2D profiles and 3D surfaces without continuous actuation, enabling reusable morphing materials ...
Sawyer Thomas, Jeffrey Lipton
wiley +1 more source
Power scalable implementation of artificial neural networks
, 2005 As the use of Artificial Neural Network (ANN) in mobile embedded devices gets more pervasive, power consumption of ANN hardware is becoming a major limiting factor. Although considerable research efforts are now directed towards low-power implementations
Modi, Sankalp +2 more
core +2 more sources
Alternate-year walnut pruning can boost yields, cut cost
California Agriculture, 1994 Annual pruning was compared to nonpruning for 8 years and to two alternate-year pruning treatments for 4 years in a mature, full-canopied ‘Ashley’ walnut orchard.
W Olson, D Ramos, R Snyder
doaj
Revised Viticulture for Low-Alcohol Wine Production: Strategies and Limitations
HorticulturaeInterest in the wine sector focusing on no- or low-alcohol wines is growing. De-alcoholation, typically a post-fermentation process, faces restrictions in some countries and is often quite costly.
Stefano Poni, Tommaso Frioni
doaj +1 more source