Search results for "Timo"

Branding4Resilience: Explorative and Collaborative Approaches for Inner Territories

2022

This article analyzes inner and marginal territories in four Italian peripheral contexts by first discussing some of the results and future steps of the “B4R Branding4Resilience” research project, funded by the Italian Ministry of Research from 2020 to 2023. The overall research is based on three phases: (1) the exploration phase to analyze socio-economic data and territorial dynamics; (2) the co-design phase involving local actors to develop ideas for a selected pilot case; (3) the co-visioning phase where a future transformative perspective for the whole area was shared with the institutions. The article focuses on phase 1 and presents some first results achieved by the application of a m…

Optimal sample allocation conditioned on a small area model, estimator, and auxiliary data

2018

We have studied optimal sample allocation, associated with small area estimation, when the objective is to obtain as accurate estimates as possible, for the population and for the subpopulations, called as areas here. It is a question of a two-level optimization problem. The basic premise is composed of planned areas, stratified sampling, and small overall sample size predetermined by restricted time and budget resources. Low sample sizes are common in market surveys. During this thesis, we have developed new allocation methods, based on a small area model, estimator, and auxiliary data. The final method, the three-term Pareto allocation, is based on the three terms of the mean-squared erro…

Ubique and Unique Book: The Presence and Potential of the Codex : Introduction to the Thematic Cluster (Part 2)

2019

Ubique and Unique Book: The Presence and Potential of the Codex : Introduction to the Thematic Cluster (Part 1)

2019

The articles in this two-issue thematic cluster of Image [&] Narrative (20.1 and 20.2) explore the contemporary status of the book (in literature and, more generally, in culture). This introduction addresses the cultural context of the notion of book today and presents the various articles of the issue. nonPeerReviewed

I vantaggi della subirrigazione per produrre più turioni

2008

An Artificial Decision Maker for Comparing Reference Point Based Interactive Evolutionary Multiobjective Optimization Methods

2021

Comparing interactive evolutionary multiobjective optimization methods is controversial. The main difficulties come from features inherent to interactive solution processes involving real decision makers. The human can be replaced by an artificial decision maker (ADM) to evaluate methods quantitatively. We propose a new ADM to compare reference point based interactive evolutionary methods, where reference points are generated in different ways for the different phases of the solution process. In the learning phase, the ADM explores different parts of the objective space to gain insight about the problem and to identify a region of interest, which is studied more closely in the decision phas…

Paving the way of systems biology and precision medicine in allergic diseases: the MeDALL success story: Mechanisms of the Development of ALLergy; EU…

2016

MeDALL (Mechanisms of the Development of ALLergy; EU FP7-CP-IP; Project No: 261357; 2010-2015) has proposed an innovative approach to develop early indicators for the prediction, diagnosis, prevention and targets for therapy. MeDALL has linked epidemiological, clinical and basic research using a stepwise, large-scale and integrative approach: MeDALL data of precisely phenotyped children followed in 14 birth cohorts spread across Europe were combined with systems biology (omics, IgE measurement using microarrays) and environmental data. Multimorbidity in the same child is more common than expected by chance alone, suggesting that these diseases share causal mechanisms irrespective of IgE sen…

Developing picture communication for interactional situations at the beginning of the asylum process; mapping interactional practices

2019

The paper reports the initial findings of the first phase of the research and development project PICCORE – Picture Communication in Reception Centres. The goal was to map the use of pictures and other visual modes of communication at reception centres in Finland using an ethnographic, multimodal research approach. The ethnographic data was collected at four reception c entres in Finland. A multimodal viewpoint draws attention to how action and meanings are mediated through pictures. The initial findings mark established practices for enabling and coordinating mutual attention, supporting the use of visual and embodied resources in interactions and – as a consequence – supporting mutual und…

Application of a Knowledge Discovery Process to Study Instances of Capacitated Vehicle Routing Problems

2020

Vehicle Routing Problems (VRP) are computationally challenging, constrained optimization problems, which have central role in logistics management. Usually different solvers are being developed and applied for different kind of problems. However, if descriptive and general features could be extracted to describe such problems and their solution attempts, then one could apply data mining and machine learning methods in order to discover general knowledge on such problems. The aim then would be to improve understanding of the most important characteristics of VRPs from both efficient solution and utilization points of view. The purpose of this article is to address these challenges by proposi…

Estimating Tree Health Decline Caused by Ips typographus L. from UAS RGB Images Using a Deep One-Stage Object Detection Neural Network

2022

Various biotic and abiotic stresses are causing decline in forest health globally. Presently, one of the major biotic stress agents in Europe is the European spruce bark beetle (Ips typographus L.) which is increasingly causing widespread tree mortality in northern latitudes as a consequence of the warming climate. Remote sensing using unoccupied aerial systems (UAS) together with evolving machine learning techniques provide a powerful tool for fast-response monitoring of forest health. The aim of this study was to investigate the performance of a deep one-stage object detection neural network in the detection of damage by I. typographus in Norway spruce trees using UAS RGB images. A Scaled…