Results 81 to 90 of about 86,318 (259)
SOT-MRAM-based true in-memory computing architecture for approximate multiplication
The in-memory computing (IMC) paradigm emerges as an effective solution to break the bottlenecks of conventional von Neumann architecture. In the current work, an approximate multiplier in spin-orbit torque magnetoresistive random access memory (SOT-MRAM)
Min Song +6 more
doaj +1 more source
ABSTRACT Background Although significant progress has been made in childhood leukemia survival, healthcare providers, and caregivers often face challenges in explaining this disease to patients. Disease‐targeted storybooks have been proposed as a tool to facilitate the understanding of diagnoses and treatment.
Nutvipha Ummartyotin +6 more
wiley +1 more source
Adaptive Approximate Computing With CGRAgen
Modern Edge applications are diverse and compute-intensive but can often afford constrained computational inaccuracy. Commonly denoted approximate computing, this paper explores the integration of inexact arithmetic units into Coarse-Grained Reconfigurable Array (CGRA) architectures with an associated, comprehensive framework for architecture modeling,
Ometov Aleksandr +2 more
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ABSTRACT Pediatric supportive care clinical trials often involve multiple clinically important outcomes, complicating trial interpretation. Hierarchical composite endpoints (HCEs) provide a framework to integrate key outcomes according to clinical importance.
Willem H. Collier +11 more
wiley +1 more source
ABSTRACT Background Childhood aplastic anemia (AA) is a rare disease, and both the disease itself and its treatment cause significant morbidity. We aimed to determine the contemporary incidence of childhood AA in Finland, to compare the clinical characteristics of AA against inherited bone marrow failure syndromes (IBMFS) and refractory cytopenia of ...
Lauri‐Matti Kulmala +8 more
wiley +1 more source
ABSTRACT Introduction Nephrogenic rests (NRs) and nephroblastomatosis (NBM) are precursor lesions for development of Wilms tumor (WT). Their association with the risk of relapse has not been properly assessed, partly due to misunderstanding of their diagnostic criteria and terminology.
Gordan M. Vujanić +5 more
wiley +1 more source
Multicore systems are utilized in a wide range of applications, from embedded systems to high-performance applications. Controlling power consumption while maximizing performance under the Thermal Design Power (TDP) becomes increasingly important when ...
Seyed Ali Kashani Gharavi, Saeed Safari
doaj +1 more source
Approximate Bayesian computation methods [PDF]
Occasionally, Statistics and Computing is publishing Special Issues on topics of potential interests. The most recent published Special Issues were concerned with “Adaptive Methods in Bayesian Computation”, Guest Editor Paul Fearnhead, Volume 18 Issue 4 (2008), “Regularisation Methods in Classification and Regression”, Guest Editor Gerhard Tutz, Volume
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ABSTRACT Background Together, leukemia and lymphoma account for 38.7% of newly diagnosed pediatric cancer cases in the United States each year. Many caregivers utilize online resources to inform medical health decisions. Understanding the readability of these materials is critical to ensuring comprehensible patient education.
Chloe Strege +6 more
wiley +1 more source
In this paper, we propose a scalable approximate multiplier design, scaleTRIM, that approximates the multiplication operation using fitted linear functions, also referred to as linearization.
Ebrahim Farahmand +6 more
doaj +1 more source

