Results 41 to 50 of about 26,844,009 (300)
Digitalizing procurement: the impact of data analytics on supply chain performance
Supply Chain Management, 2021 Purpose This study aims to investigate digitalization as a performance driver in supply chains, especially the role of data analytics in the digitalization of procurement.
J. Hallikas, M. Immonen, Saara A. Brax
semanticscholar +1 more source
Large-scale audio dataset for emergency vehicle sirens and road noises
Scientific Data, 2022 Measurement(s) Ambulance Siren and Road Noises. (Recordings) Technology Type(s) Microphone Sample Characteristic - Environment Roads Sample Characteristic - Location ...
Muhammad Asif +5 more
doaj +1 more source
MP4Rec: Explainable and Accurate Top-N Recommendations in Heterogeneous Information Networks
IEEE Access, 2020 Neural network-based recommendation algorithms have become the state-of-the-art in recommender systems and can achieve very high predictive accuracy. However, these models are usually considered as black boxes in terms of their interpretability due to ...
Makbule Gulcin Ozsoy +6 more
doaj +1 more source
Nature Communications, 2021 Cell-type-specific genes are often strongly correlated in expression - an informative yet underexplored property of single-cell data. Here, the authors leverage gene expression correlations to develop DUBStepR, a feature selection method for accurately ...
Bobby Ranjan +15 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Primary lung carcinomas and bronchial carcinoid tumors (BC) are very rare malignancies in childhood. While typical BC and mucoepidermoid carcinomas are mostly low‐grade, localized tumors with a more favorable prognosis than in adults, necessitating avoidance of overtreatment, adenocarcinomas of the lung are often diagnosed at advanced disease ...
Michael Abele +19 more
wiley +1 more source
IEEE Access, 2022 Despite many recent advances, state-of-the-art recommender systems still struggle to achieve good performance with sparse datasets. To address the sparsity issue, transfer learning techniques have been investigated for recommender systems, but they tend ...
Qinqin Wang +6 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
International Journal of Production Economics, 2020 The importance of big data analytics, artificial intelligence, and machine learning has been at the forefront of research for operations and supply chain management.
Rameshwar Dubey +7 more
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background PIK3CA‐related overgrowth spectrum (PROS) includes several rare overgrowth disorders resulting from somatic gain‐of‐function mutations in PIK3CA. Despite treatment advances, including the recent approval of alpelisib for PROS in the United States, literature detailing the patient experience with PROS is limited.
Vamsi Bollu +8 more
wiley +1 more source
Cell, 2018 SUMMARY For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data along with multi-platform molecular profiles of more than 11,000 human tumors across 33 different cancer types.
Jianfang Liu +14 more
semanticscholar +1 more source