Maurizio Fiasché

• Ph.D. in Information Engineering
• Founder & CEO at F-engineering Consulting Srl

The Industry 4.0 Italian plan is the new attempt of the National Government in Italy to adopt a comprehensive industrial policy aimed to adapt the industrial sector to the new trajectories of manufacturing. A variety of policy plans and interventions have been recently developed in order to sustain these processes everywhere in Europe. The 9 enabli...

The Production Scheduling is an important phase in a manufacturing system, where the aim is to improve the productivity of one or more factories. Finding an optimal solution to scheduling problems means to approach complex combinatorial optimization problems, and not all of them are solvable in a mathematical way, in fact a lot of them are part of...

In Industry 4.0 the optimal allocation of a pool of available workers is a very important issue. Solving this problem can improve the performance of the company and the life of workers with positive returns on productivity. Moreover, from a computational perspective, this problem is extremely interesting because it could have a combinatorial explos...

In order to certify the positive environmental impact emerging from white’R results, a procedure to apply for a Green Labelling was defined and applied (ISO14020 Environmental Labels and Declarations—General Principles: http:// www. iso. org/ iso/ catalogue_ detail? csnumber= 34425, [1]): Product Description for white’R Island white’R island lifecy...

Fast technological progress and the dynamics generated by economic, ecological and societal mega-trends are putting manufacturing companies under strong pressure to radically change the way in which they operate and innovate. Consequently, human work in manufacturing is also visibly changing and the need to up-skill and re-skill workers is rapidly...

In this work a novel fuzzy multi-objective linear programming (FMOLP) method based on hybrid fuzzy inference systems is proposed for solving the general framework of integration of self-contained assembly unit in a fuzzy environment where the product price, unit cost of not utilization of resources, work force level, production capacity and market...

In this work it is presented a novel fuzzy multi-objective linear programming (FMOLP) model based on hybrid fuzzy inference systems for solving the general management framework fort the integration of a self-contained robotic reconfigurable assembly unit in a pre-existing shop-floor. It is developed an aggregate production planning in a fuzzy envir...

To establish practices and technological environments for using automated production systems in manufacturing of optoelectronic products, with characteristics of high customization of final products, of low volumes, make to order and especially of high manual activity is a challenge crucial for the future of manufacturing in Europe for this manufac...

Maintenance is a practice in manufacturing that had never been available to remote control and management until the introduction of web-connected portable smart devices. In the last years several studies and applied research have been conducted for achieving this objective in an efficient way and with the aim to enhance the business activity relate...

Manufacturing enterprises are collaborating among each other in manufacturing service ecosystems (MSE) with the objective to compose and provision numerous product–services (P–S) on the market. However, many paramount processes outset much before the actual composition, like the strategy planning of those P–S. Such decisions are usually full of amb...

Spiking neural networks (SNN) are brain-like connectionist methods, where the output activation function is represented as a train of spikes and not as a potential. This and other reasons make SNN models biologically closer to brain principles than any of the alternative Artificial Neural networks (ANN) models proposed. In fact, they have great pot...

Personalized modelling joint with Transductive Learning (PTL) uses a particular local modelling (personalized) around a single point for classification of each test sample, thus it is basically neighbourhood dependent. Usually existing PTL methods define the neighbourhood using a (dis)similarity measure, in this paper we propose a new transductive...

In the last 25 years many works in literature about the capability to detect or predict the occurrence of epileptic seizures, starting from the electroencephalogram (EEG) signal analysis, have often hypothesized that the epileptogenic activity is the result of an abnormal electrical activity hypersynchronization of different points in an epileptic...

The Social and Smart (SandS) project aims to lay the foundations for a social network of home appliance users endowed with a layer of intelligent systems that must be able to produce new solutions to new problems on the basis of the knowledge accumulated by the social network players. The system is not a simple recollection of tested appliance use...

Chronic diseases, a major health problem throughout the world, are increasing and have very high prevalence. The current project suggests a method that can be used to predict the personalized risk of chronic disease such as type 2 diabetes and inform lifestyle recommendations based on clinical, nutritional and genetic variables. The main aim is to...

At a time when socialism as an economic option is variously questioned, very few people are against social instances of our life such as entertainment, customer assistance, and so on. This happens with the management of many things accompanying our life as well. We can find both the reason and the evidence for the viability of this trend in one ver...

This paper proposes a novel type of quantum-inspired evolutionary algorithm (QiEA) for numerical optimization inspired by the multiple universes principle of quantum computing, which is based on the concept and principles of quantum computing, such as a quantum bit and superposition of states. Numerical optimization problems are an important field...

In the last 20 years a lot of works in literature analysed and proposed several methods capable to predict the occurrence of seizures from the electroencephalogram (EEG) of epileptic patients. One of the best results was obtained using a version of the maximum Lyapunov exponent (Lmax) for predicting the advent of a seizure, but in spite of promisin...

In this paper, we propose a mechanism to effectively control the overall neural activity in the reservoir of a Liquid State Machine (LSM) in order to achieve both a high sensitivity of the reservoir to weak stimuli as well as an improved resistance to over-stimulation for strong inputs. The idea is to employ a mechanism that dynamically changes the...

Background: Acute graft-versus-host disease is a severe complication of allogeneic stem cell transplantation in which the functional immune cells of the donor recognize the recipient as foreign and mount an immunological attack. There is an urgent need for better diagnostic instruments for the assessment of acute graft-versus-host disease. In the...

Acute graft-versus-host disease (aGVHD) is a serious systemic complication of allogeneic hematopoietic stem cell transplantation (HSCT) causing considerable morbidity and mortality. Acute GVHD occurs when alloreactive donor-derived T cells recognize host-recipient antigens as foreign. These trigger a complex multiphase process that ultimately resul...

A novel ontology based type 2 diabetes risk analysis system framework is described, which allows the creation of global knowledge representation (ontology) and personalized modeling for a decision support system. A computerized model focusing on organizing knowledge related to three chronic diseases and genes has been developed in an ontological re...

Acute graft-versus-host disease (aGvHD) is a serious systemic complication of allogeneic hematopoietic stem cell transplantation (HSCT) that occurs when alloreactive donor-derived T cells recognize host-recipient antigens as foreign. The early events leading to GvHD seem to occur very soon, presumably within hours from the graft infusion. Therefore...

In this paper a novel gene selection method based on personalized modeling is proposed and is compared with classical machine learning techniques to identify diagnostic gene targets and to use them for a successful diagnosis of a medical problem - acute graft-versus-host disease (aGvHD). An analysis using the integrated approach of new data with th...

Constitutive properties of living cells are able to withstand physiological environment as well as mechanical stimuli occurring within and outside the body. Any deviation from these properties would undermine the physical integrity of the cells as well as their biological functions. Thus, a quantitative study in single cell mechanics needs to be co...

In this paper a novel gene selection method based on personalized modeling is presented and is compared with classical machine learning techniques to identify diagnostic gene targets and to use them for a successful diagnosis of a medical problem-acute graft-versus-host disease (aGVHD). An analysis using the integrated approach of new data with the...

A novel ontology based type 2 diabetes risk analysis system framework is described, which allows the creation of global knowledge representation (ontology) and personalized modeling for a decision support system. A computerized model focusing on organizing knowledge related to three chronic diseases and genes has been developed in an ontological re...

This is an application paper of applying standard methods of computational intelligence to identify gene diagnostic targets and to use them for a successful diagnosis of a medical problem - acute graft-versus-host disease (aGVHD). This is the major complication after allogeneic haematopoietic stem cell transplantation (HSCT) in which functional imm...

Acute graft-versus-host disease (aGVHD) is the major complication after allogeneic haematopoietic stem cell transplantation (HSCT) in which functional immune cells of donor recognize the recipient as ldquoforeignrdquo and mount an immunologic attack. In this paper we analyzed gene-expression profiles of 47 genes associated with alloreactivity in 59...

This is an application paper of applying classical statistical methods and standard technique of computational intelligence to identify gene diagnostic targets for accurate diagnosis of a medical problem --acute graft-versus-host disease (aGVHD). This is the major complication after allogeneic haematopoietic stem cell transplantation (HSCT), an imm...

Living cells possess properties that enable them to withstand the physiological environment as well as mechanical stimuli occurring within and outside the body. Any deviation from these properties will undermine the physical integrity of the cells as well as their biological functions. Thus, a quantitative study in single cell mechanics needs to be...

Results in literature show that the convergence of the Short-Term Maximum Lyapunov Exponent (STLmax) time series, extracted from intracranial EEG recorded from patients affected by intractable temporal lobe epilepsy, is linked to the seizure onset. According to these results, when the STLmax profiles of different electrode sites converge and reach...

This paper addresses the issue of learning directly from the observed data in Blind Source Separation (BSS), a particular inverse problem. This problem is very likely to occur when we are dealing with two or more independent electromagnetic sources. A powerful approach to BSS is Independent Component Analysis (ICA). This approach is much more power...