Results 91 to 100 of about 4,743,433 (368)
Data‐driven performance metrics for neural network learning
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri+2 more
wiley +1 more source
Suppressing Non-Ideal Resonance in Defected Ground Structure Based on Grounded Coplanar Waveguide
In this paper, a new method is proposed and verified to eliminate the non-ideal resonance caused by DGS application in GCPW by adding via holes to reduce electromagnetic leakage.
Tiansheng Ge+12 more
doaj +1 more source
Understanding and measuring mechanical signals in the tumor stroma
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
wiley +1 more source
Reactions to learning a “not elevated” amyloid PET result in a preclinical Alzheimer’s disease trial
Background The experiences of biomarker-ineligible cognitively normal persons can inform trial conduct and the translation of preclinical Alzheimer’s disease (AD) into clinical practice.
Joshua D. Grill+3 more
doaj +1 more source
Background As research in treatments for neurocognitive diseases progresses, there is an increasing need to identify cognitive decline in the earliest stages of disease for initiation of treatment in addition to determining the efficacy of treatment. For
Emma Borland+4 more
doaj +1 more source
Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs [PDF]
GPUs offer orders-of-magnitude higher memory bandwidth than traditional CPU-only systems. However, GPU device memory tends to be relatively small and the memory capacity can not be increased by the user. This paper describes Buddy Compression, a scheme to increase both the effective GPU memory capacity and bandwidth while avoiding the downsides of ...
arxiv
Asynchronous Memory Access Unit for General Purpose Processors [PDF]
In future data centers, applications will make heavy use of far memory (including disaggregated memory pools and NVM). The access latency of far memory is more widely distributed than that of local memory accesses. This makes the efficiency of traditional blocking load/store in most general-purpose processors decrease in this scenario.
arxiv
Experiences, challenges and coping strategies of unaccompanied migrant children in South Africa : guidelines for Social Work [PDF]
The aim of this study was to investigate unaccompanied migrant children (UMC )experiences, challenges and coping strategies in South Africa as they navigate their lives with no parental care and protection in a foreign country.
Mathe, Memory
core
Method for Frailty Score (FS) calculation: (1) Combine all animals that will be compared in one group; (2) Calculate 20% cutoff; (3) Determine the number of animals that ‘failed’ or ‘passed’; (4) Calculate ‘percentage of success’ for graphical representation of parameters; (5) Repeat for all parameters; (6) Calculate FS and use percentages for ...
Aleksandra Mladenovic, Smilja Pracer
wiley +1 more source
First Principles of Big Memory Systems [PDF]
In this paper, we comprehensively analyze the vertical and horizontal extensions of existing memory hierarchy. The difference between memory and big memory is well reported. We present the state-of-the-art studies upon the big memory systems, together with design methodology and implementations. Persistence is the first principle of big memory systems.
arxiv