Results 71 to 80 of about 22,284,815 (342)

Development of a Cluster with Cloud Computing Based on Neural Networks With Deep Learning for Modeling Multidimensional Fields

Кібернетика та комп'ютерні технології, 2021
Introduction. The modeling of multidimensional fields on multiprocessors, with a neural network architecture, which is rebuilt in the process of solving the problem by means of deep learning, is considered.
Mykola Kosovets, Lilia Tovstenko
doaj   +1 more source

Exploiting Non-Causal CPU-State Information for Energy-Efficient Mobile Cooperative Computing

, 2017
Scavenging the idling computation resources at the enormous number of mobile devices can provide a powerful platform for local mobile cloud computing. The vision can be realized by peer-to-peer cooperative computing between edge devices, referred to as ...
Brown, André EX, Ch'ng, Quee-Lim, Currie, Michael, Grundy, Laura J, Hokanson, Jim, Javer, Avelino, Kerr, Rex, Lee, Chee Wai, Li, Chris, Li, Kezhi, Schafer, William R, Yemini, Eviatar   +11 more
core   +5 more sources

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, F. Cai, Mohammed Affan Zidan, Wen Ma, Seung Hwan Lee, W. Lu   +5 more
semanticscholar   +1 more source

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +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, Ferrer, Ana Juan, Jukan, Admela, Sosa, Roman   +3 more
core   +1 more source

Prognostic Impact of Treatment Modalities, Including Targeted Compartmental Radio‐Immunotherapy, in a Cohort of Neuroblastoma Patients With CNS Metastases at Relapse

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Neuroblastoma (NB) with central nervous system (CNS) metastases is rare at diagnosis, but occurs more often during relapse/progression. Patients with CNS metastases face a dismal prognosis, with no standardized curative treatment available.
Vicente Santa‐Maria Lopez, Anna Felip‐Badia, Marina Caballero‐Bellon, Nazaret Sanchez‐Sierra, Alicia Castañeda, Moira Garraus, Maite Gorostegui, Margarida Simão‐Rafael, Juan Pablo Muñoz, Marta Perez‐Somarriba, Salvador Mañe, Mariana Cecilia Planells, Sara Perez‐Jaume, Jaume Mora   +13 more
wiley   +1 more source

Reservoir Computing Approach to Robust Computation using Unreliable Nanoscale Networks

, 2014
As we approach the physical limits of CMOS technology, advances in materials science and nanotechnology are making available a variety of unconventional computing substrates that can potentially replace top-down-designed silicon-based computing devices ...
A. Atiya, A. Rodan, A.Z. Stieg, D. Verstraeten, F. Wyffels, G. Snider, H. Jaeger, H.O. Sillin, J.W. Lawson, K. Terabe, L. Žaloudek, M. Haselman, M. Hermans, M. Lukoševičius, M. Lukoševičius, M.C. Ozturk, P. Erdös, P. Xu, R. Penrose, S. Dasgupta, S. Sarangi, W. Maass, Y. Chen   +22 more
core   +1 more source

Improved Outcomes for Older Children, Adolescents, and Young Adults With Neuroblastoma in the Post‐Immunotherapy Era: An Updated Report From the International Neuroblastoma Risk Group

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background We describe clinical and biologic characteristics of neuroblastoma in older children, adolescents, and young adults (OCAYA); describe survival outcomes in the post‐immunotherapy era; and identify if there is an age cut‐off that best discriminates outcomes.
Rebecca J. Deyell, Kavitha Srivatsa, Paola Angelini, Pei‐Chi Kao, Brady Payne, Arlene Naranjo, Sveva Castelli, Miho Kato, Miki Ohira, Ulriche Pöetschger, Yaël Mossé, Lucas Moreno, Meredith S. Irwin, Ramya Ramanujachar, Wendy B. London   +14 more
wiley   +1 more source

Psychological Safety Among Interprofessional Pediatric Oncology Teams in Germany: A Nationwide Survey

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Psychological safety (PS) is essential for teamwork, communication, and patient safety in complex healthcare environments. In pediatric oncology, interprofessional collaboration occurs under high emotional and organizational demands. Low PS may increase stress, burnout, and adverse events.
Alexandros Rahn, Anna‐Lena Herbach, Christian Bock, Katharina Fleig, Urs Mücke   +4 more
wiley   +1 more source

Managing success criteria and success factors in a BPM project: an approach using PRINCE2 and Success Management on the public sector

Cogent Business & Management
The public sector has many challenges when improving business processes. One of those challenges is managing the projects’ success by considering the context and constraints of public management and business process management (BPM).
Nilton Takagi, João Varajão, Thiago Ventura, Darclea Ubialli, Thais Silva   +4 more
doaj   +1 more source