Results 101 to 110 of about 16,607,891 (208)

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

Organizing the interface—Plasma membrane architecture and receptor dynamics in virus‐cell interactions

FEBS Letters, EarlyView.
Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
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

Biophysical approaches for studying viral entry

FEBS Letters, EarlyView.
Viruses infect all living organisms and have been responsible for major epidemics and pandemics. Their ongoing evolutionary battle with host defenses creates a constant need for improved tools to study viral behavior. Advancing methods to probe viral attachment, fusion, and genome release deepen our understanding of how infections begin and support the
Inbar Yosibash, Raya Sorkin
wiley   +1 more source

Decision support systems [PDF]

Decision Support Systems (DSS) are a specific class of computerized information system that supports business and organizational decision-making activities.
Georgiana MARIN
core  

Arguing to motivate decisions [PDF]

, 2011
Decision makers often have to make difficult trade-offs in situations where multiple aspects matter that are different by nature. For example, in a crisis scenario with a big fire in a factory, trade-offs may have to be made between the safety of the ...
Decision Support Systems, Intelligent Systems, Sub Intelligent Systems begr. 01-01-2013, van der Weide, T.L.   +3 more
core   +1 more source

Expanding from Discrete Cartesian to Permutation Gene-pool Optimal Mixing Evolutionary Algorithms [PDF]

, 2016
The recently introduced Gene-pool Optimal Mixing Evolutionary Algorithm (GOMEA) family, which includes the Linkage Tree Genetic Algorithm (LTGA), has been shown to scale excellently on a variety of discrete, Cartesian-space, optimization problems.
Sub Decision Support Systems, Bosman, Peter, Thierens, Dirk, Bosman, P.A.N. (Peter), Luong, Ngoc Hoang, Thierens, D., Thierens, D. (Dirk), Luong, Hoang, Dirk Thierens, Decision Support Systems, Luong, N.H. (Hoang), Peter A.N. Bosman, Bosman, P.A.N., Ngoc Hoang Luong   +13 more
core   +2 more sources

The human gut microbiome across the life course

FEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero, Basak Bahcivanci, Antonietta Hayhoe, Animesh Acharjee, Ezgi Özkurt   +4 more
wiley   +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.
Ghisoiu, Nicolae, Bresfelean, Vasile Paul   +1 more
core  

Classifying Delayed Dental Care Using Machine Learning: A National Health Interview Survey Analysis

International Dental Journal
: Background: Delays in dental care worsen oral disease and mirror broader inequities in health care access and use. Objective: To estimate the 12-month prevalence of delayed dental care among US adults, to characterise disparities across demographic ...
Giang Vu, Atish Chandra, Sanket Salvi, Christian King, Varadraj Gurupur   +4 more
doaj   +1 more source