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QSSA: Quantum Evolutionary Salp Swarm Algorithm for Mechanical Design
IEEE Access, 2019 Salp swarm algorithm is a new meta-heuristic algorithm which has excellent advantages for solving the multidimensional optimization problem. In this paper, a hybrid model assisted evolutionary algorithm for solving engineering design optimization ...
Rongzhong Chen +4 more
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Public data risk-sharing experiment
, 2020 This folder contains the oTree code and final dataset of the Risk-Sharing experiment. The risk-sharing experiment was programmed in oTree and conducted with Uk-based participants recruited from the Prolific platform between June 5 and June 11.
Eva Vriens (Utrecht University)
core +1 more source
Data Science in Healthcare [PDF]
, 2022 Data science is an interdisciplinary field that applies numerous techniques, such as machine learning, neural networks, and deep learning, to create value based on extracting knowledge and insights from available data.
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Central nervous system (CNS) involvement in childhood acute lymphoblastic leukemia (ALL) is assessed by cell counting and cytomorphology from cerebrospinal fluid (CSF) and is used for treatment stratification worldwide. The ratio of “CNS2” patients in clinical trials ranges from 3% to 40%, with unclear prognostic significance ...
Laura Almási +14 more
wiley +1 more source
An All-Time-Domain Moving Object Data Model, Location Updating Strategy, and Position Estimation
International Journal of Distributed Sensor Networks, 2015 To solve the problems from the existing moving objects data models, such as modeling spatiotemporal object continuous action, multidimensional representation, and querying sophisticated spatiotemporal position, we firstly established an object-oriented ...
Qunyong Wu +3 more
doaj +1 more source
Remote Sensing, 2021 Global ocean heat content (OHC) is generally estimated using gridded, model and reanalysis data; its change is crucial to understanding climate anomalies and ocean warming phenomena.
Hua Su, Tian Qin, An Wang, Wenfang Lu
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CoRR, 2021 With the growing use of distributed machine learning techniques, there is a growing need for data markets that allows agents to share data with each other. Nevertheless data has unique features that separates it from other commodities including replicability, cost of sharing, and ability to distort.
Mohammad Rasouli 0001, Michael I. Jordan
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Immune effector cell‐associated hemophagocytic lymphohistiocytosis‐like syndrome (IEC‐HS) is a life‐threatening hyperinflammatory toxicity distinct from cytokine release syndrome (CRS) and neurotoxicity following chimeric antigen receptor T‐cell (CAR‐T) therapy. In a single‐institution retrospective cohort of pediatric and young adult patients
Thomas J. Galletta +6 more
wiley +1 more source
Delineation of agricultural fields using multi-task BsiNet from high-resolution satellite images
International Journal of Applied Earth Observations and Geoinformation, 2022 This paper presents a new multi-task neural network, called BsiNet, to delineate agricultural fields from high-resolution satellite images. BsiNet is modified from a Psi-Net by structuring three parallel decoders into a single encoder to improve ...
Jiang Long +3 more
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The policy on sharing data [PDF]
Internal and Emergency Medicine, 2016 n ...
openaire +3 more sources