Search results for "Systematic map"

showing 10 items of 16 documents

Collating science-based evidence to inform public opinion on the environmental effects of marine drilling platforms in the Mediterranean Sea.

2017

Abstract The use of rigorous methodologies to assess environmental, social and health impacts of specific interventions is crucial to disentangle the various components of environmental questions and to inform public opinion. The power of systematic maps relies on the capacity to summarise and organise the areas or relationships most studied, and to highlight key gaps in the evidence base. The recent Italian technical referendum (2016) – a public consultation inviting people to express their opinion by voting to change the rules on the length of licence duration and the decommissioning of offshore oil and gas platform drilling licences – inspired the creation of a systematic map of evidence…

0106 biological sciencesEngineeringEnvironmental EngineeringOil and Gas FieldGood Environmental StatusDrillingOil and Gas Industry010501 environmental sciencesManagement Monitoring Policy and LawEnvironmentPublic opinion01 natural sciencesReferendumMediterranean SeaHumansEcosystem componentOil and Gas FieldsDuration (project management)Baseline (configuration management)Waste Management and Disposal0105 earth and related environmental sciencesGood environmental statuScope (project management)business.industry010604 marine biology & hydrobiologyEnvironmental resource managementSystematic mapPublic consultationGeneral MedicinePublic OpinionInformational gapbusinessNexus (standard)HumanJournal of environmental management
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The author's reply to N.R. Haddaway.

2017

Abstract In this reply we respond to the commentary of Dr. Haddaway addressed in searching for pitfalls in our systematic mapping exercise “Collating science-based evidence to inform public opinion on the environmental effects of marine drilling platforms in the Mediterranean Sea” recently published in Journal of Environmental Management (Mangano, M.C. and Sara, G. 2017. Journal of Environmental Management 188: 195–202). We discussed each so called “pitfalls” and, in our opinion, the main cornerstones of systematic map – SM (repeatability, comprehensiveness, transparency, traceability, quality, generalizability) are safe guaranteeing the “gold standard” required by this technique. Where nee…

0106 biological sciencesSettore BIO/07 - EcologiaEngineeringEnvironmental EngineeringTailoringmedia_common.quotation_subject010501 environmental sciencesManagement Monitoring Policy and LawPublic opinionTransparency010603 evolutionary biology01 natural sciencesMediterranean SeaQuality (business)Operations managementGeneralizability theoryRepeatabilityBaseline (configuration management)Waste Management and Disposal0105 earth and related environmental sciencesmedia_commonMinimum requirementProtocol (science)End userbusiness.industrySystematic mapGeneral MedicineComprehensiveneData scienceTransparency (behavior)Public OpinionbusinessNexus (standard)Journal of environmental management
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Containers in Software Development: A Systematic Mapping Study

2019

Over the past decade, continuous software development has become a common place in the field of software engineering. Containers like Docker are a lightweight solution that developers can use to deploy and manage applications. Containers are used to build both component-based architectures and microservice architectures. Still, practitioners often view containers only as way to lower resource requirements compared to virtual machines. In this paper, we conducted a systematic mapping study to find information on what is known of how containers are used in software development. 56 primary studies were selected into this paper and they were categorized and mapped to identify the gaps in the cu…

050101 languages & linguisticsvirtualisointiComputer scienceeducationohjelmistotuotantoCloud computingContext (language use)02 engineering and technologycomputer.software_genreField (computer science)Resource (project management)ohjelmistoarkkitehtuuriComponent (UML)0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesDevOpssystematic mapping studiesbusiness.industry05 social sciencesSoftware development113 Computer and information sciencesVirtual machinecontainers020201 artificial intelligence & image processingohjelmistokehitysbusinessSoftware engineeringcomputersoftware engineering
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The Role of Explainable AI in the Research Field of AI Ethics

2023

Ethics of Artiicial Intelligence (AI) is a growing research ield that has emerged in response to the challenges related to AI. Transparency poses a key challenge for implementing AI ethics in practice. One solution to transparency issues is AI systems that can explain their decisions. Explainable AI (XAI) refers to AI systems that are interpretable or understandable to humans. The research ields of AI ethics and XAI lack a common framework and conceptualization. There is no clarity of the ield’s depth and versatility. A systematic approach to understanding the corpus is needed. A systematic review ofers an opportunity to detect research gaps and focus points. This paper presents the results…

AI ethicssystematic mapping studytutkimusetiikkateknologinen kehitysetiikkatekoälyartificial intelligenceexplainable AI
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Artificial Intelligence for Cybersecurity: A Systematic Mapping of Literature

2020

Due to the ever-increasing complexities in cybercrimes, there is the need for cybersecurity methods to be more robust and intelligent. This will make defense mechanisms to be capable of making real-time decisions that can effectively respond to sophisticated attacks. To support this, both researchers and practitioners need to be familiar with current methods of ensuring cybersecurity (CyberSec). In particular, the use of artificial intelligence for combating cybercrimes. However, there is lack of summaries on artificial intelligent methods for combating cybercrimes. To address this knowledge gap, this study sampled 131 articles from two main scholarly databases (ACM digital library and IEEE…

Artificial intelligence and cybersecuritycybersecurityGeneral Computer ScienceComputer scienceinformation securitysystematic reviewsprotocols02 engineering and technologyIntrusion detection systemtekoälyComputer securitycomputer.software_genre01 natural sciencesDomain (software engineering)systematic reviewGeneral Materials Sciencekirjallisuuskatsauksettietoturvakyberturvallisuussystemaattiset kirjallisuuskatsauksettietoverkkorikoksetkyberrikollisuusbusiness.industry010401 analytical chemistryGeneral Engineeringartificial intelligence021001 nanoscience & nanotechnology0104 chemical sciencesSupport vector machinekoneoppiminenmachine learningcomputer crimeArtificial intelligencelcsh:Electrical engineering. Electronics. Nuclear engineeringSystematic mappingIntrusion prevention system0210 nano-technologybusinesscomputerlcsh:TK1-9971Qualitative researchIEEE Access
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Customization Support in Computer-Based Technologies for Autism: A Systematic Mapping Study

2020

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by social interaction and communication difficulties, along with narrow and repetitive interests. Being a spectrum dis...

Computer science05 social sciencesComputer basedHuman Factors and Ergonomics02 engineering and technologymedicine.diseaseSocial relationComputer Science ApplicationsPersonalizationHuman-Computer InteractionHuman–computer interactionAutism spectrum disorder020204 information systems0202 electrical engineering electronic engineering information engineeringmedicineAutism0501 psychology and cognitive sciencesSystematic mapping050107 human factorsInternational Journal of Human–Computer Interaction
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Programming languages for data-Intensive HPC applications: A systematic mapping study

2020

This work is a result of activities from COST Action 10406 High -Performance Modelling and Simulation for Big Data Applications (cHiPSet), funded by the European Cooperation in Science and Technology. FCT, Portugal for grants: NOVA LINCS Research Laboratory Ref. UID/ CEC/ 04516/ 2019); INESC-ID Ref. UID/CEC/50021/2019; BioISI Ref. UID/MULTI/04046/2103; LASIGE Research Unit Ref. UID/CEC/00408/ 2019. A major challenge in modelling and simulation is the need to combine expertise in both software technologies and a given scientific domain. When High-Performance Computing (HPC) is required to solve a scientific problem, software development becomes a problematic issue. Considering the complexity…

Domain-Specific language (DSL)High performance computing (HPC)Computer scienceComputer Networks and CommunicationsBig data; Data-intensive applications; Domain-Specific language (DSL); General-Purpose language (GPL); High performance computing (HPC); Programming languages; Systematic mapping study (SMS)Systematic mapping study (SMS)Big dataData-intensive applicationsContext (language use)computer.software_genreTheoretical Computer ScienceSoftware portabilityBig dataSoftwareArtificial Intelligencebusiness.industryProgramming languageSoftware developmentGeneral-Purpose language (GPL)UsabilityProgramming languagesDigital libraryComputer Graphics and Computer-Aided DesignHardware and ArchitecturebusinesscomputerSoftware
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Innovation Initiatives in Large Software Companies : A Systematic Mapping Study

2018

Context: To keep the competitive advantage and adapt to changes in the market and technology, companies need to innovate in an organised, purposeful and systematic manner. However, due to their size and complexity, large companies tend to focus on the structure in maintaining their business, which can potentially lower their agility to innovate.Objective:The aims of this study are to provide an overview of the current research on innovation initiatives and to identify the challenges of implementing those initiatives in the context of large software companies.Method: The investigation was primarily performed using a systematic mapping approach of published literature on corporate innovation …

FOS: Computer and information sciencesKnowledge managementCorporate innovationinnovation initiatives02 engineering and technologyentrepreneurshipCorporate innovationinnovationsComputer Science - Software EngineeringSoftwareohjelmistoala0502 economics and business0202 electrical engineering electronic engineering information engineeringLarge software companiescorporatesInnovationtietotekniikkayrityksetta113business.industry05 social sciencessystematic mapping study050301 education020207 software engineeringsoftware companiesyrittäjyysComputer Science ApplicationsinnovaatiotSoftware Engineering (cs.SE)Innovation initiativeCorporate entrepreneurshipSystematic mappingbusiness0503 educationSoftware050203 business & managementInformation Systems
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Monitoring of persistent organic pollutants in the polar regions: knowledge gaps & gluts through evidence mapping

2017

Persistent organic pollutants (POPs) are widespread compounds that accumulating in polar regions canalise through trophic webs. Although several dozens of studies have been carried out in the last decades, the information is generally scattered across a large number of literature sources. This does not allow an efficient synthesis and constraints our understanding on how address future monitoring plans and environmental conservation strategies on the Polar Regions with respect to POPs. Thus, here, we present the outcome of a systematic map (SM) to scope, screen and chart evidences from literature dealing with POPs in Polar regions. The SMs strive to produce rigorous guidelines and have rece…

Food ChainEnvironmental Engineering010504 meteorology & atmospheric sciencesHealth Toxicology and MutagenesisPopulation010501 environmental sciencesEvidence mappingBiology01 natural sciencesFood chainArcticEnvironmental monitoringEnvironmental ChemistryIUCN Red ListOrganic ChemicalseducationEnvironmental PollutantPersistent organic pollutantArctic Region0105 earth and related environmental sciencesPollutanteducation.field_of_studyScope (project management)Antarctica; Arctic; Persistent organic pollutants; Systematic map; Arctic Regions; Environmental Monitoring; Environmental Pollutants; Food Chain; Organic Chemicals; Chemistry (all); Environmental ChemistryArctic Regionsbusiness.industryEcologyOrganic chemicalsPersistent organic pollutantsChemistry (all)Environmental resource managementPublic Health Environmental and Occupational HealthSystematic mapGeneral MedicineGeneral ChemistryPollutionAntarcticaOrganic ChemicalEnvironmental PollutantsbusinessEnvironmental MonitoringChemosphere
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Artificial General Intelligence vs. Industry 4.0 : Do They Need Each Other?

2022

Artificial Intelligence (AI) is known to be a driving force behind the Industry 4.0. Nowadays the current hype on development and industrial adoption of the AI systems is mostly associated with the deep learning, i.e., with the abilities of the AI to perform various specific cognitive activities better than humans do. However, what about the Artificial General Intelligence (AGI), associated with the generic ability of a machine to perform consciously any task that a human can? Do we have many samples of the AGI research adopted by Industry 4.0 and used for smart manufacturing? In this paper, we report the systematic mapping study regarding the AGI-related papers (published during the five-y…

Google distancesystematic mapping studyälytekniikkatekoälyteollisuusIndustry 4.0Artificial general intelligence
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