Results 91 to 100 of about 5,552,920 (364)
IEEE AccessData prefetching is crucial for hiding long-latency memory access on modern high-performance processors. Machine learning (ML)-based data prefetchers have demonstrated superior address prediction performance compared with traditional rule-based ...
Chang Ho Ryu, Tae Hee Han
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Development Status and Trends of Space Processor
天地一体化信息网络, 2023 Space electronic system is the ＆quot;brain＆quot; of aerospace engineering models and the core fi eld of competitive development of major countries around the world.As the most core device in space electronic system, space processor directly aff ects the ...
Zhigang YU +4 more
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Understanding and measuring mechanical signals in the tumor stroma
FEBS Open Bio, EarlyView.This review discusses cancer‐associated fibroblast subtypes and their functions, particularly in relation to extracellular matrix production, as well as the development of 3D models to study tumor stroma mechanics in vitro. Several quantitative techniques to measure tissue mechanical properties are also described, to emphasize the diagnostic and ...
Fàtima de la Jara Ortiz +3 more
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MB-CNN: Memristive Binary Convolutional Neural Networks for Embedded Mobile Devices
Journal of Low Power Electronics and Applications, 2018 Applications of neural networks have gained significant importance in embedded mobile devices and Internet of Things (IoT) nodes. In particular, convolutional neural networks have emerged as one of the most powerful techniques in computer vision, speech ...
Arjun Pal Chowdhury +2 more
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Anticipation in architectural experience: a computational neurophenomenology for architecture?
, 2020 The perceptual experience of architecture is enacted by the sensory and motor system. When we act, we change the perceived environment according to a set of expectations that depend on our body and the built environment. The continuous process of collecting sensory information is thus based on bodily affordances.
Djebbara, Zakaria +2 more
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FEBS Open Bio, EarlyView.This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi +2 more
wiley +1 more source
The Impact of Process Scaling on Scratchpad Memory Energy Savings
Journal of Low Power Electronics and Applications, 2014 Scratchpad memories have been shown to reduce power consumption, but the different characteristics of nanometer scale processes, such as increased leakage power, motivate an examination of how the benefits of these memories change with process scaling ...
Bennion Redd +3 more
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FEBS Open Bio, EarlyView.The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik +3 more
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A Layered Software Architecture for the Management of a Manufacturing Company [PDF]
In this paper we describe a layered software architecture in the management of a manufactur-ing company that intensively uses computer technology.
Domenico CONSOLI
core
FEBS Open Bio, EarlyView.Long non‐coding RNAs (lncRNAs) occupy an abundant fraction of the eukaryotic transcriptome and an emerging area in cancer research. Regulation by lncRNAs is based on their subcellular localization in HNSCC. This cartoon shows the various functions of lncRNAs in HNSCC discussed in this review.
Ellen T. Tran +3 more
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