Results 31 to 40 of about 48,825,372 (259)
Compound dataset and custom code for deep generative multi-target compound design
Future Science OA, 2021 Aim: Generating a data and software infrastructure for evaluating multi-target compound (MT-CPD) design via deep generative modeling. Methodology: The REINVENT 2.0 approach for generative modeling was extended for MT-CPD design and a large benchmark data
Thomas Blaschke, Jürgen Bajorath
doaj +1 more source
deusthindwa/Electronic-Data-Capture-for-Large-Scale-Typhoid-Surveillance---STRATAA: edc
, 2020 Electronic data capture systems (EDCs) have the potential to achieve efficiency and quality in collection of multisite data. We quantify volume, time, accuracy and costs of an EDC using large-scale census data from the STRATAA consortium, a comprehensive
Mujadidi, Yama Farooq +4 more
core +1 more source
Computing resources sensitive parallelization of neural neworks for large scale diabetes data modelling, diagnosis and prediction [PDF]
, 2011 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Diabetes has become one of the most severe deceases due to an increasing number of diabetes patients globally.
Qi, Hao
core +6 more sources
Analysis using large-scale ringing data
Animal Biodiversity and Conservation, 2007 Birds are highly mobile organisms and there is increasing evidence that studies at large spatial scales are needed if we are to properly understand their population dynamics.
S. R. Baillie, P. F. Doherty
doaj +3 more sources
Large-scale dataset comparative analysis using computation resources.
, 2023 Large-scale dataset comparative analysis using computation resources.
Olaide N. Oyelade (14047002) +2 more
core +1 more source
Enabling Efficient Distributed Spatial Join on Large Scale Vector-Raster Data Lakes
IEEE Access, 2022 Both the increasing number of GPS-enabled mobile devices and the geographic crowd-sourcing initiatives, such as Open Street Map, are determinants for the large amount of vector spatial data that is currently being produced.
Sebastian Villarroya +3 more
doaj +1 more source
Large-scale Data Integration Using Graph Probabilistic Dependencies (GPDs)
, 2020 The diversity and proliferation of Knowledge bases have made data integration one of the key challenges in the data science domain. The imperfect representations of entities, particularly in graphs, add additional challenges in data integration.
Yuan, Bo +11 more
core +1 more source
Large-scale Social Network Analysis
, 2013 Social Network Analysis (SNA) is an established discipline for the study of groups of individuals with applications in several areas like economics, information science, organizational studies and psychology.
Danilo Montesi +11 more
core +1 more source
HiSem-RAG: A Hierarchical Semantic-Driven Retrieval-Augmented Generation Method
Applied SciencesTraditional retrieval-augmented generation (RAG) methods struggle with hierarchical documents, often causing semantic fragmentation, structural loss, and inefficient retrieval due to fixed strategies.
Dongju Yang, Junming Wang
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld +5 more
wiley +1 more source