Adriano Mancini

Adriano Mancini
Università Politecnica delle Marche | Università degli Studi di Ancona · Department of Information Engineering (DII)

About

168
Publications
83,951
Reads
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2,436
Citations
Citations since 2016
65 Research Items
1846 Citations
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2016201720182019202020212022050100150200250300
2016201720182019202020212022050100150200250300

Publications

Publications (168)
Conference Paper
The exploitation of offshore mussel farms is becoming relevant almost everywhere, even though it lags way behind other food sectors that are already supported by mature monitoring, modeling, prediction, and analysis tools. New technologies and sensors could indeed boost this sector and alleviate key challenges facing the aquaculture industry. Howev...
Chapter
In this paper we present a method of the user behavior (UB) tracking by capturing and measuring user activities through the defined procedural model of the reverse virtualization process, implementing a proof of concept on a real case scenario: the Civic Gallery of Ascoli. In order to define the universal model of such “vice versa” virtual reality...
Article
Background and objectives: The use of deep learning for preterm infant's movement monitoring has the potential to support clinicians in early recognizing motor and behavioural disorders. The development of deep learning algorithms is, however, hampered by the lack of publicly available annotated datasets. Methods: To mitigate the issue, this pap...
Article
Full-text available
The Internet of Things (IoT), Big Data and Machine Learning (ML) may represent the foundations for implementing the concept of intelligent production, smart products, services, and predictive maintenance (PdM). The majority of the state-of-the-art ML approaches for PdM use different condition monitoring data (e.g. vibrations, currents, temperature,...
Article
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This study wants to give a contribution to the semi-automatic evaluation of rock mass discontinuities, orientation and spacing, as important parameters used in Engineering. In complex and inaccessible study areas, a traditional geological survey is hard to conduct, therefore, remote sensing techniques have proven to be a very useful tool for discon...
Article
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Predictive maintenance on infrastructures is currently a hot topic. Its importance is proportional to the damages resulting from the collapse of the infrastructure. Bridges, dams and tunnels are placed on top on the scale of severity of potential damages due to the fact that they can cause loss of lives. Traditional inspection methods are not objec...
Chapter
This work proposes a pipeline that aims to recognize the products in a shelf, at the level of the single SKU (Stock Keeping Unit), starting from a photo of that shelf. It is composed of a first neural network that detects the individual products on the shelf and has been trained with the SKU110K dataset and a second network, designed and built with...
Article
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During the last decade vessel-position-recording devices, such as the Vessel Monitoring System and the Automatic Identification System, have increasingly given accurate spatial and quantitative information of industrial fisheries. On the other hand, small-scale fisheries (vessels below 12 m) remain untracked and largely unregulated even though they...
Chapter
Tyre brand, its size, model, age and condition monitoring are critical for many vehicle users. The detection and the recognition of plastic components defects result essential. Image classification has become one of the key applications in image processing and computer vision domain. It has been used in several fields such as medical area and intel...
Article
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Diabetic Retinopathy (DR) is the most common and insidious microvascular complication of diabetes, and can progress asymptomatically until a sudden loss of vision occurs. Although DR is prevalent nowadays, its prevention remains challenging. The multiple aim of this study was to predict the the risk of developing DR as diabetic complication (task 1...
Conference Paper
During the last decade accurate spatial and quantitative information of industrial fisheries have been increasingly given using tracking technologies and machine learning analytical algorithms. However, in most small-scale fisheries, lack of spatial data has been a recurrent bottleneck as Vessel Monitoring System and Automatic Identification System...
Conference Paper
Nowadays, video surveillance has a crucial role. Analyzing surveillance videos is, however, a time consuming and tiresome procedure. In the last years, artificial intelligence paved the way for automatic and accurate surveillance-video analysis. In parallel to the development of artificial-intelligence methodologies, edge computing is becoming an a...
Article
Full-text available
Sentiment analysis on social media such as Twitter is a challenging task given the data characteristics such as the length, spelling errors, abbreviations, and special characters. Social media sentiment analysis is also a fundamental issue with many applications. With particular regard of the tourism sector, where the characterization of fluxes is...
Article
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Maritime traffic and fishing activities have accelerated considerably over the last decade, with a consequent impact on the environment and marine resources. Meanwhile, a growing number of ship-reporting technologies and remote-sensing systems are generating an overwhelming amount of spatio-temporal and geographically distributed data related to la...
Chapter
Full-text available
Detecting and tracking people is a challenging task in a persistent crowded environment as retail, airport or station, for human behaviour analysis of security purposes. Especially during the global spread of SARS-CoV-2 virus that has become part of everyday life in every country, it is important to be able to manage the flows inside and outside bu...
Chapter
Nowadays Human Pose Estimation (HPE) represents one of the main research themes in the field of computer vision. Despite innovative methods and solutions introduced for frame processing algorithms, the use of standard frame-based cameras still has several drawbacks such as data redundancy and fixed frame-rate. The use of event-based cameras guarant...
Article
Full-text available
Objective Decision support systems (DSS) have been developed and promoted for their potential to improve quality of health care. However, there is a lack of common clinical strategy and a poor management of clinical resources and erroneous implementation of preventive medicine. Methods To overcome this problem, this work proposed an integrated syst...
Article
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In retail environments, understanding how shoppers move about in a store’s spaces and interact with products is very valuable. While the retail environment has several favourable characteristics that support computer vision, such as reasonable lighting, the large number and diversity of products sold, as well as the potential ambiguity of shoppers’...
Conference Paper
The research project named "CREATEFORUAS" aims at enhancing "trustable" flight autonomy for small Unmanned Aircraft Systems (UAS), by tackling different enabling technologies. The paper briefly describes the main research areas of the project which are relevant to vision-based environment understanding, sense and avoid, robust control, and multi-UA...
Chapter
In the last decades, Computer Engineering has shown an impressive development and has become a pervasive protagonist in daily life and scientific research. Databases and Artificial Intelligence represent two of the major players in this development. Today, they are quickly converging towards a new, much more sophisticated and inclusive, paradigm, n...
Chapter
Improving the availability of products in a store in order to avoid the OOS (out-of-stock) problem is a crucial topic nowadays. The reduction of OOS events leads to a series of consequences, including, an increase in customer satisfaction and loyalty to the store and brand, the production of positive advertising with a consequent growth in sales, a...
Chapter
In retail field, customer culture is shifting towards in-store researching, and retailers need to re-evaluate their location services to better assist customer. In-store mapping help retailers learn how their employees are interacting and it satisfies user intent to search for products, something that is often ignored by retailers especially for th...
Conference Paper
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The Comet Assay is a well-known procedure employed to investigate the DNA damage and can be applied to several research areas such as environmental, medical and health sciences. User dependency and computation time effort represent some of the major drawbacks of the Comet Assay. Starting from this motivation, we applied a Machine Learning (ML) tool...
Article
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One of the most challenging problems in precision agriculture is to correctly identify and separate crops from the soil. Current precision farming algorithms based on artificially intelligent networks use multi-spectral or hyper-spectral data to derive radiometric indices that guide the operational management of agricultural complexes. Deep learnin...
Article
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In the engineering practice, it frequently occurs that designers, final or intermediate users have to roughly estimate some basic performance or specification data on the basis of input data available at the moment, which can be time-consuming. There is the need for a tool that will fill the missing gap in the optimization problems in engineering d...
Article
Today, e-health has entered the everyday work flow in the form of a variety of healthcare providers. General practitioners (GPs) are the largest category in the public sanitary service, with about 60,000 GPs throughout Italy. Here, we present the Nu.Sa. project, operating in Italy, which has established one of the first GP healthcare information sy...
Article
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The acceleration of Digital Agriculture is evident through the increased adoption of digital technologies on farms including smart machines, sensors and cloud computing. In this paper we present the preliminary results of the research project funded by Università Politecnica delle Marche in 2018 “PFRLab: Setting of a precision farming robotic labor...
Article
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According to the CEMA, Agriculture 4.0 paves the way for the next evolution of farming consisting of unmanned operations and autonomous decision systems while Agriculture 5.0 will be based around robotics and (some form of) artificial intelligence. It is clear how Agriculture is experimenting a Copernican Revolution where multidisciplinarity is the...
Article
Autonomous systems for monitoring and surveying are increasingly used in retail stores, since they improve the overall performance of the store and reduce the manpower cost. Moreover, an automated system improves the accuracy of collected data by avoiding human-related factors. This paper presents ROCKy, a mobile robot for data collection and surve...
Preprint
BACKGROUND Sharing General-Practitioners' (GPs) health data has been widely pointed out to be crucial in improving care delivery and achieving a more efficient use of National Health Service (NHS) resources. OBJECTIVE The aim of this paper is to present a Service Oriented Architecture (SOA), called Nu.Sa., that fosters the digitalization, storage...
Article
Full-text available
Understanding shopper behaviour is one of the keys to success for retailers. In particular, it is necessary that managers know which retail attributes are important to which shoppers and their main goal is to improve the consumer shopping experience. In this work, we present sCREEN (Consumer REtail ExperieNce), an intelligent mechatronic system for...
Article
The appeal of energy harvesting systems lies in the possibility of capturing free energy that would be dissipated and is therefore obtainable without costs. Today, advanced techniques and devices exist for capturing from the environment, storing, and managing quotas of natural energy, which are made available in the form of electrical energy. At th...
Article
The development of “intelligent” floors is a growing interest, but often the ensuing solutions involve high production costs as well as complicated installation and management. Aim of this paper is to propose a novel smart floor that makes use of an energy harvesting system in order to allow people localization and to track their movements in an in...
Conference Paper
Three-dimensional reconstruction is a very important technique of Computer Vision that produces a three-dimensional (3D) model of a real scene. For this purpose, we use Photometric Stereo that allows you to shape estimation from several images under different lighting conditions. In the last few years, this technology has been used in many areas bo...
Article
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Highly accelerated life test (HALT) is a test methodology to evaluate reliability of mechanical and electromechanical devices. HALT is often used on devices that must be guaranteed for high reliability over a long time span. HALT simulates the life cycle of the device, usually until it experiments a failure. HALT tests are used to assess reliabilit...
Article
Full-text available
The shelf out-of-stock (SOOS) problem is relevant for retailers and producers since the absence of products on the shelf can lead to a significant reduction of shoppers and a consequent drop on sales. For this purpose, it is necessary to study and introduce approaches able to measure and prevent the lack of products on the shelves and thereby promp...
Preprint
The increased availability of high resolution remote sensor data for precision agriculture 1 applications permits users to aquire deeper and more relevant knowledge about crops states that lead 2 inevitably to better decisions. The algorithm libraries being developed and evolved around these 3 applications rely on multi-spectral or hyper-spectral d...
Conference Paper
Vehicle tracking and classification algorithms that remain robust under illuminations changes and occlusions remain a challenging task for vehicle recognition systems. A vehicle which reappears in the scene after disappearing behind an obstacle or a bigger vehicle has to re-obtain the previous identification number assigned by the system. In other...
Conference Paper
The paper reports on a use case of vertical integration and predictive maintenance, two concepts that fall within the wider “Industry 4.0” domain. We designed an Internet of Things based-system for the collection, processing and management of data coming from central vacuum cleaners. The developed embedded system for data retrieval from the vacuum...
Conference Paper
Full-text available
The use of 3D models to document archaeological findings witnessed to boost in the latest years, mainly thanks to the large adoption of digital photogrammetry for the virtual reconstruction of ancient artifatcs. For this reason, the widespread availability of digital 3D objects obliges the research community to face with a hard challenge: which is...
Article
The problem of building detection in multi-source aerial data has a large variety of applications from map updating to the detection of illegal construction. The development of a capability to integrate multispectral and LiDAR technologies has been proved to be the most effective strategy in dealing with the problem. An automated and combined appro...
Conference Paper
Video analytics, involves a variety of techniques to monitor, analyse, and extract meaningful information from video streams. In this light, person re-identification is an important topic in scene monitoring, human computer interaction, retail, people counting, ambient assisted living and many other computer vision research. The existing datasets a...
Conference Paper
In the context of retailing, the monitoring of consumer behaviours is particularly important for supporting vendors in their management and marketing decisions. Many studies have been carried out about various aspects and consequences of different behaviours. However, only recently the potential of computing systems is being used for automated data...
Article
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The prevention and correct management of natural disaster event sequences play a key role in saving human lives. The availability of embedded and mobile smart computing systems opens new roads for the management of land and infrastructures by civil protection operators. To date, research has explored the use of social networks for the management of...
Conference Paper
The information of the number of passengers getting in/off a vehicle is very important for public bus transport companies. In fact, the operators need to estimate the number of travellers using their vehicles for marketing purposes, for evaluating transit service capacities and allocating the proper number of buses for each connection-line. The goa...
Article
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The combination of elevation data together with multispectral high-resolution images is a new methodology for obtaining land use/land cover classification. It represents a step forward for both the accuracy and automation of LULC applications and allows users to setup thematic assignments through rules based on feature attributes and human expert i...
Article
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One of the main challenges for Unmanned Aerial Systems (UAVs) is to extend the endurance of small vehicles such as multi-rotors. Actually, Li-po batteries that guarantee a flight of about 20 min power this type of vehicles. The endurance can be extended by enabling vehicles to look for recharging station(s). In this paper, we propose a vision syste...
Conference Paper
Full-text available
This paper proposes a tracking system based on Ultra-wideband technology. The system provides the use of several Ultra-Wide Band (UWB) antennas properly positioned inside a predetermined area and powered battery tags free to move inside the area. This system finds wide application in retail field. In fact, through the analysis of the collected trac...
Conference Paper
Full-text available
Traffic lights are very often equipped with cameras for smart disengagement of crossings. Surveillance cameras are placed in many key-points of the city's mobility for security purposes, such as neighbourhood entrances and parking areas. The idea of this study is to use this in place infrastructure, already installed and maintained by mobility stak...
Article
Linear buffer strips (BS) along watercourses are commonly adopted to reduce run-off, accumulation of bank-top sediments and the leaking of pesticides into fresh-waters, which strongly increase water pollution. However, the monitoring of their conditions is a difficult task because they are scattered over wide rural areas. This work demonstrates the...
Conference Paper
During last years the automated classification enabled by Unmanned Aerial System (UASs) captured the interest of many investors and researchers. Several applications could be explored ranging from precision agriculture to Land Use / Land Cover (LU/LC) thematic mapping. The use of UASs is novel when we consider the very high resolution (VHR) multi-h...
Conference Paper
The representation, management and analysis of large volumes of people are growing the interest of both academic and public authority researches. This attention was triggered by the increasing availability of data collection tools about spatio-temporal phenomena. Location-based technologies coupled with mobile devices are becoming more affordable,...
Chapter
The economy of low-temperature geothermal energy is quantified with numerical indicators that can be either calculated for an individual plant or aggregated over an arbitrarily large territory, such as a commune or a province. In this chapter the exploratory spatial data analysis (ESDA) methods are applied to LTGE data with the support of a softwar...