Results 81 to 90 of about 3,913,304 (297)

DeepTSF: Codeless machine learning operations for time series forecasting

SoftwareX
This paper presents DeepTSF, a comprehensive machine learning operations (MLOps) framework aiming to innovate time series forecasting through workflow automation and codeless modeling. DeepTSF automates key aspects of the machine learning (ML) lifecycle,
Sotiris Pelekis, Theodosios Pountridis, Georgios Kormpakis, George Lampropoulos, Evangelos Karakolis, Spiros Mouzakitis, Dimitris Askounis   +6 more
doaj   +1 more source

THE COLLABORATIVE LEARNING SYSTEMS USED AS DECISION SUPPORT SYSTEMS [PDF]

This paper reviews a case study in the use of COST/BENEFIT ANALYSIS in project appraisal which serves to illustrate different aspects of the practical problem (using the CBA/PC package) and the Management Game “MANAGER” that simulate all functions for ...
Virgil Chichernea
core  

Extending remote patient monitoring with mobile real time clinical decision support [PDF]

, 2009
Large scale implementation of telemedicine services such as telemonitoring and teletreatment will generate huge amounts of clinical data. Even small amounts of data from continuous patient monitoring cannot be scrutinised in real time and round the clock
Hermens, Hermie, Jones, Val
core   +1 more source

Assessing Cognitive Functioning in Children With Brain Tumors: Interaction of Neighborhood Social Determinants of Health and Neurological Risk

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background This study investigated how neighborhood‐level social determinants of health (SDOH), including redlining and neurological risk, interact to influence cognitive outcomes in children treated for brain tumors (CTBT). Methods A retrospective chart review of 161 CTBT aged 5–17 was conducted.
Alannah R. Srsich, Manali Zope, Peter M. Fantozzi, Cassie N. Kline, Iris Paltin, Matthew C. Hocking   +5 more
wiley   +1 more source

Explainable AI-Based Ensemble Clustering for Load Profiling and Demand Response

Energies
Smart meter data provide an in-depth perspective on household energy usage. This research leverages on such data to enhance demand response (DR) programs through a novel application of ensemble clustering.
Elissaios Sarmas, Afroditi Fragkiadaki, Vangelis Marinakis   +2 more
doaj   +1 more source

Decision Making: A Computer-Science and Information-Technology Viewpoint [PDF]

We address the phenomenon of decision making from the viewpoint of computer science and information technology. The basic question from this viewpoint is: what can the computer offer to decision makers and how it can support their work?
Marko Bohanec
core  

Therapeutic Apheresis for Intravenous Methylprednisolone‐Refractory Neuromyelitis Optica Spectrum Disorder: Clinical and Radiological Outcomes in a Single‐Center Case Series

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Neuromyelitis optica spectrum disorder (NMOSD) is a relapsing autoimmune disease of the central nervous system. High‐dose intravenous methylprednisolone (IVMP) is the standard first‐line therapy for acute attacks, although some patients remain refractory.
Wataru Horiguchi, Daisuke Katagiri, Takeyuki Watadani, Shunichi Matsuda, Hiroshi Kaneko, Noritoshi Arai   +5 more
wiley   +1 more source

Enhanced ELECTRE III method with interval-valued hesitant fuzzy linguistic sets for multi-criteria group decision-making in smart supply networks

Applied Computer Science
This study presents a robust decision-making framework for evaluating strategic artificial intelligence (AI) initiatives within DHL's smart supply network.
Fadoua TAMTAM, Amina TOURABI
doaj   +1 more source

Higher education decision making and decision support systems [PDF]

The authors illustrate several issues in decision support and decision support systems (DSS), state of the art research in these fields, and also their own studies in designing a higher education DSS.
Bresfelean, Vasile Paul, Ghisoiu, Nicolae   +1 more
core   +1 more source

Effects of the Fluid Replacement Method During Online Hemodiafiltration on the Solute Removal Performance and Biocompatibility Using the Asymmetric Cellulose Triacetate Membrane

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Pre‐dilution online hemodiafiltration (Pre‐HDF) is predominantly used in Japan, whereas post‐dilution online HDF (Post‐HDF) is more common in Europe. An asymmetric cellulose triacetate (ATA) membrane may improve biocompatibility.
Kenji Sakurai, Yoshitaka Kurihara, Fumi Yamauchi, Hiromi Hosoya, Takeshi Saito   +4 more
wiley   +1 more source