- Semantic Web and Ontologies
- Rough Sets and Fuzzy Logic
- Data Management and Algorithms
- Fuzzy Logic and Control Systems
- Context-Aware Activity Recognition Systems
- Service-Oriented Architecture and Web Services
- Multi-Criteria Decision Making
- Advanced Text Analysis Techniques
- Cognitive Science and Mapping
- Logic, Reasoning, and Knowledge
- Multi-Agent Systems and Negotiation
- Robotics and Automated Systems
- Web Data Mining and Analysis
- AI-based Problem Solving and Planning
- Neural Networks and Applications
- Business Process Modeling and Analysis
- IoT and Edge/Fog Computing
- Biomedical Text Mining and Ontologies
- Advanced Algebra and Logic
- Smart Grid Energy Management
- Advanced Database Systems and Queries
- Spam and Phishing Detection
- Mobile Agent-Based Network Management
- Data Mining Algorithms and Applications
- Cognitive Computing and Networks
University of Salerno
2015-2024
Shaanxi Normal University
2020-2022
National Research University Higher School of Economics
2022
Virginia Commonwealth University
2022
Shenyang Aerospace University
2022
Shenzhen Institutes of Advanced Technology
2022
Chinese Academy of Sciences
2022
Carleton University
2022
D&S Consultants (United States)
2022
Machine Science
2013-2021
Due to the growing developments in advanced metering and digital technologies, smart cities have been equipped with different electronic devices on basis of Internet Things (IoT), therefore becoming smarter than before. The aim this article is that providing a comprehensive review concepts their motivations applications. Moreover, survey describes IoT technologies for main components features city. Furthermore, practical experiences over world challenges are explained.
The unpredictability and intermittency introduced by Renewable Energy Sources (RESs) in power systems may lead to unforeseen peaks of energy production, which might differ from demand. To manage these mismatches, a proper communication between prosumers (i.e., users with RESs that can either inject or absorb energy) active agree have their loads changed according the system needs) is required. achieve this goal, centralized approach used traditional no longer possible because both would like...
A promising research area in the field of group decision making (GDM) is study interpersonal influence and its impact on evolution experts' opinions. In conventional GDM models, a experts express their individual preferences finite set alternatives, then are aggregated best alternative, satisfying majority experts, selected. Nevertheless, real situations, form opinions complex environment where liable to change due social influence. order take into account effects during process, we propose...
A great impetus for the study of resilience in critical infrastructures (CIs) is found large number initiatives and international research programmes from U.S., EU, Asia. Politicians, decision makers, citizens are now aware drastic consequences that can have cascading effects an adverse event these scale infrastructures. However, CIs challenging several reasons, among which their interdependencies. We to consider also events, e.g., attacks, natural hazards, or man-made disasters, suddenly...
Energy efficiency and sustainability are important factors to address in the context of smart cities. In this sense, metering nonintrusive load monitoring play a crucial role fighting energy thefts for optimizing consumption home, building, city, so forth. The estimated number meters will exceed 800 million by 2020. By providing near real-time data about power consumption, can be used analyze electricity usage trends point out anomalies guaranteeing companies' safety avoiding wastes....
Nowadays, Artificial Intelligence (AI) is widely applied in every area of human being's daily life. Despite the AI benefits, its application suffer from opacity complex internal mechanisms and doesn't satisfy by design principles Explainable (XAI). The lack transparency further exacerbates problem field Cybersecurity because entrusting crucial decisions to a system that cannot explain itself presents obvious dangers. There are several methods literature capable providing explainability...
In this paper, we propose a decentralized and self-organizing solution framework aimed at addressing economic dispatch (ED) analysis in distributed scenario. particular will demonstrate that, under some hypotheses, the of ED can be obtained by computing proper weighted averages variable interests. To compute these global quantities deployment network cooperative dynamic agents solving average consensus problems. Thanks to decentralized/nonhierarchical paradigm, all basic operations needed...
The evolution of the microprocessor industry, combined with reduction on cost and increase efficiency, gives rise to new scenario for ubiquitous computing where humans trigger seamlessly activities tasks using unusual (often imperceptible) interfaces according physical space context. Many problems must be faced: adaptivity, hybrid control strategies, system (hardware) integration, networking access. In this paper, a solution that attempts provide flexible dependable these complicated is...
This article presents a new interactive method to analyze and assess hypotheses, its application terrorism events. The combines probability, fuzzy, rough set theories supports decision makers analysts of counterterrorism in the analysis intelligence information by using behavioral models known terrorist groups. Starting from about possible attack patterns, proposed uses two parameters allowing derivation wide range their assessment on basis different support levels evidence. evaluation...
This paper investigates the possibility of learning a trading rule looking at relationship between market indicators and decisions undertaken regarding entering or quitting position. As means to achieve this objective, we employ long short-term memory machine, due its capability relate past recent events. Our solution is first step in direction building model-free robot, based on deep learning, able identify logic that links mood given by technical investment decisions. Although preliminary,...
Feeder reconfiguration is an effective way to reduce power losses of distribution network. In this way, configuration system changed in order achieve possible minimum losses, while electricity demand consumers has be provided. Consumers' important role feeder because any change affects directly. Whereas load a variable and stochastic nature its dependence on consumption pattern accuracy forecasted amounts. Accordingly, models should robust enough against uncertainty variations. Thus, article...
In Ambient Intelligence (AmI) vision, people should be able to seamlessly and unobtrusively use configure the intelligent devices systems in their ubiquitous computing environments without being cognitively physically overloaded. other words, user not have program each device or connect them together achieve required functionality. However, although it is possible for a human operator specify an active space configuration explicitly, size, sophistication, dynamic requirements of modern...
Ontologies are recognized as a fundamental component for enabling interoperability across heterogeneous systems and applications. Indeed, they try to fit common understanding of concepts in particular domain interest support the exchange information among people, artificial agents, distributed Unfortunately, because human subjectivity, various ontologies related same application may use different terms meaning or term mean things, raising so-called heterogeneity problem. The ontology...
The concept of smart microgrid (SMG) is widely recognized as one the most promising and enabling technologies for grids. In this context, development integrated decentralized frameworks executing complex control monitoring applications still in its infancy needs to be researched. To address issue, paper conceptualizes a self-organizing computing framework, based on agents, solving fundamental problems an SMG without need centralized data acquisition processing. Simulation results obtained...