Nuova pubblicazione dei nostri ricercatori sull’impatto del DSS
I ricercatori di Dyrecta Lab hanno elaborato un lavoro circa l’analisi dell’impatto delle decisioni automatizzate (Decision Support System), ossia nell’ambito delle implicazioni economico-giuridiche relative all’utilizzo degli algoritmi automatici per le decisioni. A questo link, l’articolo completo.
Agricoltura di precisione e DSS
Pubblicato sulla rivista scientifica online Airccoline, l’articolo sul progetto di ricerca condotto dal nostro team “A PRECISION AGRICOLTURE DSS BASED ON SENSOR THRESHOLD MANAGEMENT FOR IRRIGATION FIELD“. Sono state sviluppate delle centraline smart in grado di rilevare dati di campo da una postazione fissa (umidità, contenuto di acqua, dati meteo, ecc.) e di trasmetterli in […]
Sistema di supporto alle decisioni, data mining/data fusion e agricoltura di precisione
I ricercatori di Dyrecta Lab pubblicano la review dal titolo: “Assessment of data fusion oriented on data mining approaches to enhance precision agriculture practices aimed at increase of Durum Wheat (Triticum turgidum L. var. durum) yield” Il paper mostra soluzioni e stato dell’arte circa i sistemi di supporto alle decisioni (DSS) e di agricoltura di […]
A Study of a Health Resources Management Platform Integrating Neural Networks and DSS Telemedicine for Homecare Assistance
ABSTRACT: The proposed paper is related to a case of study of an e-health telemedicine system oriented on homecare assistance and suitable for de-hospitalization processes. The proposed platform is able to transfer efficiently the patient analyses from home to a control room of a clinic, thus potentially reducing costs and providing high-quality assistance services. The […]
Design and Development of a Mobile APP for Multichannel Sales Systems based on Artificial Intelligence
Abstract— In this paper the authors propose a mobile application oriented on mobile multi-channel marketing. The multi-channel model consists of enabled mobile channels of sellers linked to a central node which is managed by a system administrator. The study case is related to an industrial project concerning an intelligent sales system allowing that a customer […]
ESB PLATFORM INTEGRATING KNIME DATA MINING TOOL ORIENTED ON INDUSTRY 4.0 BASED ON ARTIFICIAL NEURAL NETWORK PREDICTIVE MAINTENANCE
La rivista International Journal of Artificial Intelligence & Applications (IJAIA), ha accettato il nostro articolo “ESB PLATFORM INTEGRATING KNIME DATA MINING TOOL ORIENTED ON INDUSTRY 4.0 BASED ON ARTIFICIAL NEURAL NETWORK PREDICTIVE MAINTENANCE” Sistemi Intelligenti per l’automazione dei processi delle PMI nel contesto applicativo Industria 4.0 I principi mostrati potranno essere applicati per customizzare interfacce […]
Web App for Dynamic Pricing Modeling in Automotive Applications and Data Mining Analytics
Abstract: In this paper the authors propose a web application oriented on business to business (B2B) and internet automotive marketing. The study case is related to an industrial project concerning tires recognition application and real time comparison of prices of competitors. By means of a smartphone camera able to identify and classify car plates, the […]
DSS UNIVERSITY
Il progetto di ricerca “DSS_UNIVERSITY” intende realizzare un sistema di supporto alle decisioni, che sostenga le decisioni amministrative dell’università per ottimizzare le risorse (materiali e immateriali) impiegate. Più dettagliatamente, il progetto sviluppa due differenti moduli per il supporto alle decisioni: Cruscotto delle prestazioni (performance dashboard). Il cruscotto fornisce la sintesi delle informazioni più importanti in […]
A survey on traffic light detection
Abstract: Traffic light detection is an important matter in urban environments during the transition to fully autonomous driving. Many literature has been generated in the recent years approaching different pattern recognition strategies. In this paper we present a survey summarizing relevant works in the field of detection of both suspended and supported traffic light. This survey […]
Hydro-Tech, an integrated decision support system for sustainable irrigation management: (I) main algorithms and field testing
Abstract: In the framework of a specific project supported by the EC-ERDF programme in the Apulia Region (Italy), a local consortium of private ICT companies and Research institutions is currently developing and testing a Decision Support System called ‘HydroTech’ (HT-DSS), which aims to integrate the latest scientific knowledge on crop water requirements and irrigation scheduling with […]