1,721,107 research outputs found
Bioelectronic technologies and artificial intelligence for medical diagnosis and healthcare
Full text linkThe application of electronic findings to biology and medicine has significantly impacted health and wellbeing. Recent technology advances have allowed the development of new systems that can provide diagnostic information on portable point-of-devices or smartphones. The decreasing size of electronics technologies down to the atomic scale and the advances in system, cell, and molecular biology have the potential to increase the quality and reduce the costs of healthcare.
Clinicians have pervasive access to new data from complex sensors; imaging tools; and a multitude of other sources, including personal health e-records and smart environments. Humans are from being able to process this unprecedented volume of available data without advanced tools. Artificial intelligence (AI) can help clinicians to identify patterns from this huge amount of data to inform better choices for patients.
In this Special Issue, some original research papers focusing on recent advances have been collected, covering novel theories, innovative methods, and meaningful applications that could potentially lead to significant advances in the field
A Novel Multi Objective Genetic Algorithm for the Portfolio Optimization
No full textAbstract.
In this paper we propose a new implementation of a multi objective genetic algorithm that handles constrained problems to approach the financial
problem of the portfolio optimization. The objective of the paper is to propose
and empirically apply a new multi-objective genetic algorithm for portfolio
optimization extending the Markowitz mean-variance model ([1,2] Markowitz, 1952 and 1959). At the end of the paper the obtained results are discussed and
compared with non linear other different techniques
Applicazione della teoria di Shapley ad un sistema di gestione della raccolta intermunicipale dei rifiuti
No full text
Tecniche evolutive applicate alla ricerca del percorso ottimale di raccolta giornaliera dei rifiuti
No full textUn algoritmo genetico per
determinare il percorso
ottimale di raccolta
differenziata dei rifiuti
nell’area intermunicipale
in provincia di Bar
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
A Novel Multi Objective Genetic Algorithm for the Portfolio Optimization
No full textAbstract.
In this paper we propose a new implementation of a multi objective genetic algorithm that handles constrained problems to approach the financial
problem of the portfolio optimization. The objective of the paper is to propose
and empirically apply a new multi-objective genetic algorithm for portfolio
optimization extending the Markowitz mean-variance model ([1,2] Markowitz, 1952 and 1959). At the end of the paper the obtained results are discussed and
compared with non linear other different techniques
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