Results 91 to 100 of about 26,034,833 (395)

Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison

IEEE Access, 2018
With the advances in new-generation information technologies, especially big data and digital twin, smart manufacturing is becoming the focus of global manufacturing transformation and upgrading. Intelligence comes from data.
Qinglin Qi, F. Tao
semanticscholar   +1 more source

An Introductory Review of Deep Learning for Prediction Models With Big Data

Frontiers in Artificial Intelligence, 2020
Deep learning models stand for a new learning paradigm in artificial intelligence (AI) and machine learning. Recent breakthrough results in image analysis and speech recognition have generated a massive interest in this field because also applications in
F. Emmert-Streib, Zhenyi Yang, Han Feng, S. Tripathi, M. Dehmer   +4 more
semanticscholar   +1 more source

Prolonged Corrected QT Interval as an Early Electrocardiographic Marker of Cyclophosphamide‐Induced Cardiotoxicity in Pediatric Hematology and Oncology Patients

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cyclophosphamide (CY) is associated with potentially fatal cardiotoxicity, yet no electrocardiographic indices have been established for early detection of CY‐induced cardiomyopathy. This study aimed to determine whether corrected QT interval (QTc) prolongation can predict early onset of CY‐related cardiac dysfunction in pediatric ...
Junpei Kawamura, Kentaro Ueno, Takuro Nishikawa, Yoshihiro Takahashi, Koji Nakae, Yasuhiro Okamoto   +5 more
wiley   +1 more source

Deconstructability prediction for building using machine learning and ensemble feature selection techniques

Scientific Reports
Construction industries remain one of the most significant users of materials and generators of waste in the UK and globally. Notwithstanding, the principle of circular economy is becoming prominent as an effective means for powering greater resource ...
Habeeb Balogun, Hafiz Alaka, Eren Demir, Christian Nnaemeka Egwim, Godoyon Ebenezer Wusu, Wasiu Yusuf, Muideen Adegoke, Iqbal Qasim   +7 more
doaj   +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

Big Data, Big Opportunities, and Big Challenges [PDF]

Journal of Investigative Dermatology Symposium Proceedings, 2015
High-throughput assays have begun to revolutionize modern biology and medicine. The advent of cheap next-generation sequencing (NGS) has made it possible to interrogate cells and human populations as never before. Although this has allowed us to investigate the genetics, gene expression, and impacts of the microbiome, there remain both practical and ...
openaire   +2 more sources

Challenges and Future Directions of Big Data and Artificial Intelligence in Education

Frontiers in Psychology, 2020
We discuss the new challenges and directions facing the use of big data and artificial intelligence (AI) in education research, policy-making, and industry.
Hui Luan, P. Géczy, H. Lai, J. Gobert, Stephen J. H. Yang, H. Ogata, J. Baltes, R. Guerra, Ping Li, Chin-Chung Tsai   +9 more
semanticscholar   +1 more source

A Systematic Review of Evidence on the Clinical Effectiveness of Surveillance Imaging in Children With Medulloblastoma and Ependymoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Surveillance imaging aims to detect tumour relapse before symptoms develop, but it's unclear whether earlier detection of relapse leads to better outcomes in children and young people (CYP) with medulloblastoma and ependymoma. This systematic review aims to identify relevant literature to determine the efficacy of surveillance magnetic ...
Lucy Shepherd, Melissa Taylor, Helen Fulbright, Bob Phillips   +3 more
wiley   +1 more source

ANALYZING BIG DATA WITH DECISION TREES [PDF]

, 2014
ANALYZING BIG DATA WITH DECISION ...
Leong, Lok Kei
core   +1 more source

ARM Wrestling with Big Data: A Study of Commodity ARM64 Server for Big Data Workloads

, 2017
ARM processors have dominated the mobile device market in the last decade due to their favorable computing to energy ratio. In this age of Cloud data centers and Big Data analytics, the focus is increasingly on power efficient processing, rather than ...
Kalyanasundaram, Jayanth, Simmhan, Yogesh   +1 more
core   +1 more source