Results 21 to 30 of about 2,887,430 (312)

Concept of Reference Diagnostics as the Foundation for Developing Diagnostic Algorithm to Support Doctor’s Decision-Making

open access: yesЗдоровье мегаполиса, 2023
The article analyzes current conceptual approaches to developing algorithms for supporting doctor's decision-making process. The need for application of sorting algorithms to generate decision-supporting algorithms is explained.
M. A. Yakushin   +5 more
doaj   +1 more source

Explainable outlier detection: What, for Whom and Why?

open access: yesMachine Learning with Applications, 2021
Outlier algorithms are becoming increasingly complex. Thereby, they become much less interpretable to the data scientists applying the algorithms in real-life settings and to end-users using their predictions. We argue that outliers are context-dependent
Jonas Herskind Sejr, Anna Schneider-Kamp
doaj   +1 more source

Optimization of architectural layout by the improved genetic algorithm

open access: yesJournal of Civil Engineering and Management, 2005
In this paper we consider architectural layout problem that seeks to determine the layout of Units based on lighting, heating, available sizes and other objectives and constraints.
Romualdas BauÅ¡ys   +1 more
doaj   +1 more source

Conceptual model for the integration of personal attribute

open access: yes, 2022
The current curriculum of Electrical Technology Education (ETE) of Nigerian Universities has been criticized for not meeting the desired challenges. The personal attribute skills were found are not integrated in the curriculum.
Conceptual
core   +1 more source

Combinación de heurística con simulación y lógica difusa para resolver un problema de enrutamiento de ubicación de tamaño flexible bajo incertidumbre

open access: yes, 2020
23 páginasThe location routing problem integrates both a facility location and a vehicle routing problem. Each of these problems are NP-hard in nature, which justifies the use of heuristic-based algorithms when dealing with large-scale instances that ...
Panadero, Javier   +4 more
core   +1 more source

Using biased-randomized algorithms for the multi-period product display problem with dynamic attractiveness

open access: yes, 2020
From brick-and-mortar stores to omnichannel retail, the efficient selection of products to be displayed on store tables, advertising brochures, or online front pages has become a critical issue.
Carmo Martins, Leandro do   +4 more
core   +1 more source

Near real-time collaborative conceptual modeling on the web

open access: yes, 2022
S.344-357Collaboration during the creation of conceptual models is an integral pillar of design processes in many disciplines. Synchronous collaboration, in particular, has received little attention in the conceptual modeling literature so far. There are
Derntl, Michael   +4 more
core   +1 more source

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

open access: yesFEBS Letters, EarlyView.
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang   +2 more
wiley   +1 more source

A Comparison of Different Conceptual Structures Projection Algorithms [PDF]

open access: yes, 2007
Knowledge representation (KR) is used to store and retrieve meaningful data. This data is saved using dynamic data structures that are suitable for the style of KR being implemented. The KR allows the system to manipulate the knowledge in the data by using reasoning operations. The data structure, together with the contents of the transformed knowledge,
Heather D. Pfeiffer, Roger T. Hartley
openaire   +2 more sources

ITERATE: a conceptual clustering algorithm for data mining [PDF]

open access: yesIEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 1998
The data exploration task can be divided into three interrelated subtasks: 1) feature selection, 2) discovery, and 3) interpretation. This paper describes an unsupervised discovery method with biases geared toward partitioning objects into clusters that improve interpretability.
Gautam Biswas   +2 more
openaire   +2 more sources

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