Results 31 to 40 of about 896,248 (269)

AI4EF: Artificial Intelligence for Energy Efficiency in the building sector

SoftwareX
AI4EF (Artificial Intelligence for Energy Efficiency) is an advanced, user-centric tool designed to support decision-making in building energy retrofitting and efficiency optimization.
Alexandros Menelaos Tzortzis, Georgios Kormpakis, Sotiris Pelekis, Ariadni Michalitsi-Psarrou, Evangelos Karakolis, Christos Ntanos, Dimitris Askounis   +6 more
doaj   +1 more source

Development of a stress-free algorithm for controlling active running platforms [PDF]

ITM Web of Conferences
The problem of increasing the accuracy of predicting human actions is an urgent task for various human-machine systems. The study examines the solution to the problem of predicting human speed using neural network algorithms, computer vision technologies,
Obukhov Artem, Karpushkin Sergey, Siukhin Aleksandr, Patutin Kirill, Averin Yaroslav   +4 more
doaj   +1 more source

Heterogeneity in the Global Practice of Central Nervous System Staging in Pediatric Acute Lymphoblastic Leukemia

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, Bernadett Borbála Huszti, Gábor Barna, Marko Kavcic, Janez Jazbec, Lennart Lenk, Vera Münch, Sophia Polychronopoulou, Ágnes Márk, Maria Thastrup, Lüder H. Meyer, Kjeld Schmiegelow, Cornelia Eckert, Christina Halsey, Dániel J. Erdélyi   +14 more
wiley   +1 more source

Neural sentence embedding models for semantic similarity estimation in the biomedical domain

BMC Bioinformatics, 2019
Background Neural network based embedding models are receiving significant attention in the field of natural language processing due to their capability to effectively capture semantic information representing words, sentences or even larger text ...
Kathrin Blagec, Hong Xu, Asan Agibetov, Matthias Samwald   +3 more
doaj   +1 more source

Clinical decision support systems

Swiss Medical Weekly, 2014
Clinical decision support (CDS) systems link patient data with an electronic knowledge base in order to improve decision-making and computerised physician order entry (CPOE) is a requirement to set up electronic CDS. The medical informatics literature suggests categorising CDS tools into medication dosing support, order facilitators, point-of-care ...
Beeler Patrick Emanuel, Bates David Westfall, Hug Balthasar Luzius   +2 more
openaire   +3 more sources

The Role of Hematopoietic Cell Transplantation in Ataxia‐Telangiectasia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Ataxia‐telangiectasia (A‐T) is a DNA repair disorder characterized by neurodegeneration, immunodeficiency, and cancer predisposition. Hematopoietic cell transplantation (HCT) is an established therapy in related disorders such as Fanconi anemia (FA) and Nijmegen breakage syndrome (NBS), but its role in A‐T is unclear.
Laila Alkhouli, Seth Rotz, Masatoshi Takagi, Richa Sharma   +3 more
wiley   +1 more source

Integration of decision support systems to improve decision support performance [PDF]

Knowledge and Information Systems, 2009
Decision support system (DSS) is a well-established research and development area. Traditional isolated, stand-alone DSS has been recently facing new challenges. In order to improve the performance of DSS to meet the challenges, research has been actively carried out to develop integrated decision support systems (IDSS).
Shaofeng Liu 0001, Alex H. B. Duffy, Robert Ian Whitfield, Iain M. Boyle   +3 more
openaire   +3 more sources

Increased Risk of Sarcomas in Children With Congenital Anomalies: Findings From the Genetic Overlap Between Anomalies and Cancer in Kids (GOBACK) Registry Linkage Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric sarcomas are a heterogeneous group of tumors that contribute disproportionately to cancer mortality in children. Although congenital anomalies are among the strongest known risk factors for childhood cancer, the risk of specific sarcoma subtypes among affected individuals has not yet been thoroughly evaluated. Procedure We
Russ Wolters, Ji Yun Tark, Tiffany M. Chambers, Tania A. Desrosiers, Michael E. Scheurer, Charles Shumate, Wendy N. Nembhard, Mahsa M. Yazdy, Eirini Nestoridi, Amanda E. Janitz, Jean Paul Tanner, Russell S. Kirby, Jason L. Salemi, Yao Yu, Chad D. Huff, Sharon E. Plon, Philip J. Lupo, Jeremy M. Schraw   +17 more
wiley   +1 more source

Residential Energy Dataset with Electric Vehicles, Photovoltaic Generation and Tariff Variability in Ireland

Scientific Data
Household energy demand data are essential for designing load-shifting strategies, storage solutions and demand response programs. This is the first publicly available dataset that integrates multiple household-level energy and mobility metrics.
Dimitris Avgoloupis, Vasilis Michalakopoulos, Elissaios Sarmas, Vangelis Marinakis, Mario Couto, Alessio Coccia, Mariana Jimenez   +6 more
doaj   +1 more source

Brainstorming Will Never Be the Same Again—A Human Group Supported by Artificial Intelligence

Machine Learning and Knowledge Extraction, 2023
A modification of the brainstorming process by the application of artificial intelligence (AI) was proposed. Here, we describe the design of the software system “kresilnik”, which enables hybrid work between a human group and AI.
Franc Lavrič, Andrej Škraba
doaj   +1 more source