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decisionsupportsystems, etc ; Bayesian theory; Internet; apples; cultivars; diagnostic techniques; fruits; streams; Show all 8 Subjects
Abstract:
... Post-harvest diseases of apple can cause considerable economic losses. Thus, we developed DSSApple, an interactive web-based decision support system, that helps users to diagnose post-harvest diseases of domesticated apple based on observed macroscopic symptoms on fruit. Specifically, DSSApple is designed as a two-stream hybrid diagnostic tool, that can be effectively used by both expert and non-e ...
decisionsupportsystems, etc ; DNA; Fourier transform infrared spectroscopy; algorithms; atmospheric pressure; biofilm; cold; decontamination; Show all 8 Subjects
Abstract:
... Cold atmospheric pressure plasma (CAPP) and plasma-activated water (PAW) are emerging nonthermal technologies. Due to the complexity of plasma-generated species as a function of plasma generation conditions, there is a need to develop process validation. This study aims to evaluate plasma interactions with DNA-based surrogates using infrared spectroscopy and gradient boosting decision tree, a mach ...
decisionsupportsystems, etc ; algorithms; databases; model validation; models; regression analysis; soil organic carbon; Czech Republic; Show all 8 Subjects
Abstract:
... There are relatively few studies that explicitly evaluate the performance of machine learning algorithms (MLAs) such as decision trees while varying conditions like data splitting strategies and feature selection methods in digital soil mapping (DSM). Since several more powerful black-box models such as Random Forest (RF) exist, regular models like the Classification and Regression Tree (CART) are ...
decisionsupportsystems, etc ; clay; game theory; image analysis; magnesium; remote sensing; satellites; soil; variance; weather; winter wheat; Sweden; Show all 12 Subjects
Abstract:
... We built machine learning and image analysis tools in order to forecast winter wheat yield based on a rich multi dimensional tensor of agricultural information spanning different scales. This information consists of satellite multi-band images, local soil samples obtained from national databases, local weather as well as field data from 23 farms cultivating winter wheat in southern Sweden. This is ...
Arthur Noin de Oliveira; Sophia Regina Frazatto Bolognini; Luiz Claudio Navarro; Jeany Delafiori; Geovana Manzan Sales; Diogo Noin de Oliveira; Rodrigo Ramos Catharino
decisionsupportsystems, etc ; algorithms; biomarkers; electrospray ionization mass spectrometry; food chemistry; food safety; fruits; models; silica gel; tomatoes; Show all 10 Subjects
Abstract:
... Food safety and quality assessment mechanisms are unmet needs that industries and countries have been continuously facing in recent years. Our study aimed at developing a platform using Machine Learning algorithms to analyze Mass Spectrometry data for classification of tomatoes on organic and non-organic. Tomato samples were analyzed using silica gel plates and direct-infusion electrospray-ionizat ...
decisionsupportsystems, etc ; chemometrics; discriminant analysis; flavonoids; food safety; grapes; tandem mass spectrometry; ultra-performance liquid chromatography; white wines; Show all 9 Subjects
Abstract:
... The use of metabolic fingerprinting combined with advanced chemometric tools for wine authentication has increased in recent years. Although numerous studies, showing different authentication strategies, have been published, rarely any attention has been paid to the stability of used classification models over a longer time period. Here, we present a reliable and robust metabolic fingerprinting-ba ...
decisionsupportsystems, etc ; healthy diet; stakeholders; Show all 3 Subjects
Abstract:
... In the past two decades, a number of researchers have sought to capture the complex interactions of the food system's outcome through frameworks. In several international discourses and expert foresight studies, food system frameworks are frequently used to argue specific approaches and reforms that seek to reduce the multiple burdens of our food system on humans and the planet. To date, policymak ...
decisionsupportsystems, etc ; bioenergy; consciousness; energy; Show all 4 Subjects
Abstract:
... The growing interest in renewable energies requires increased consciousness regarding their impact on the territory and communities. For this reason, several researchers have studied the conditions that influence the balance between the benefits and costs of new bioenergy plants, producing a wide-ranging review of studies regarding the optimal location of plants. This process is based on several e ...
decisionsupportsystems, etc ; algorithms; energy efficiency; Show all 3 Subjects
Abstract:
... Adequate energy awareness is an essential prerequisite for energy-efficient production planning and operation in manufacturing systems. Nonetheless, a lack of awareness of the impact of managerial and operational energy-influencing factors on energy consumption can be observed in practice due to irrational and inexplicable energy benchmarks. To this end, this paper presents a dual energy benchmark ...
... Recent developments in biogas upgradation have opened new horizons for its utilisation because upgradation technologies are fully developed and commercially available. However, the implementation of biogas upgrading technologies is not at the scale required to harness the full potential of biogas. Therefore, it is requisite to adopt a multicriteria decision-making methodology (MCDM) to select the ...
decisionsupportsystems, etc ; neural networks; spatial data; Show all 3 Subjects
Abstract:
... Change detection (CD) is a hot topic and has been applied in many fields. Very high resolution (VHR) images contain the rich spatial information, and are widely used in CD applications. Compared with supervised CD methods, unsupervised methods are more popular, since they can identify changes automatically. In this paper, a novel unsupervised binary CD method for VHR optical images using an advanc ...
decisionsupportsystems, etc ; algorithms; regression analysis; India; Show all 4 Subjects
Abstract:
... The article addresses the void in developing analytical methods concerning to design urban configurations that could reduce fire risks, and, thus, could help in achieving sustainable goals. A novel algorithm is developed to generate alternative Urban Built Form (UBF) models that could be less susceptible to fire compared to the existing built-form. Fire susceptibility of a generated UBF is predict ...
decisionsupportsystems, etc ; algorithms; degradation; guidelines; polystyrenes; stabilizers; Show all 6 Subjects
Abstract:
... In this study, a high-throughput experimental protocol was established for yellowing inhibition of transparent plastics on the basis of solution film casting on microplates and ultraviolet/visible (UV/Vis) spectroscopic evaluation using a microplate reader. A combination of the protocol and a genetic algorithm realized a large-scale exploration of stabilizer formulations that consist of commercial ...
decisionsupportsystems, etc ; environmental science; issues and policy; Show all 3 Subjects
Abstract:
... Scholars have identified a ‘usability gap’ between science and its ability to inform real-world decisions as well as a range of factors that facilitate or impede attempts to span the usability gap with information products. However, most attention has focused on barriers related to information users; much less research focuses on the unique institutional and organizational barriers experienced by ...
decisionsupportsystems, etc ; planning; risk; risk reduction; zoning; Show all 5 Subjects
Abstract:
... Considering its preventive character and the influence it has on the spatial distribution and intensity of uses, spatial planning is gaining an increasingly important role in natural hazard management. In terms of anticipatory planning, land use adapted to the natural forces with the aim of reducing the risk should be promoted. The approach of a risk-adjusted spatial planning is rather innovated, ...
decisionsupportsystems, etc ; decision making; energy; models; risk; uncertainty; Show all 6 Subjects
Abstract:
... This paper addresses the risk faced by load aggregators (LAs) participating in a demand response (DR), owing to the response uncertainty, and proposes a load-agent-based bilevel distributed coordination decision-making strategy for LAs considering response uncertainty. DR uncertainty models of reducible and transferable loads are established based on the evidence theory. The agent DR uncertainty m ...
decisionsupportsystems, etc ; agronomy; model validation; soil; soil fertility; Show all 5 Subjects
Abstract:
... With the growing availability of environmental covariates, feature selection (FS) is becoming an essential task for applying machine learning (ML) in digital soil mapping (DSM). In this study, the effectiveness of six types of FS methods from four categories (filter, wrapper, embedded, and hybrid) were compared. These FS algorithms chose relevant covariates from an exhaustive set of 1049 environme ...
decisionsupportsystems, etc ; decision making; energy; green chemistry; risk; Show all 5 Subjects
Abstract:
... This perspective provides the conceptual basis and potentiality of a new metric in green chemistry and engineering. Called the intensification factor (IF), as initially intended in the scenario of process intensification, it serves as a decision-making parameter that can explicitly contain as many factors as available data of interest are to be considered. These data can be both qualitative and qu ...
decisionsupportsystems, etc ; environment; marine debris; oceans; plastics; prioritization; Show all 6 Subjects
Abstract:
... Growing evidence of the prevalence of plastics in the oceanic environment is causing increasing concern. In this study we consider the possible impact of major changes to the supply and consumption of plastics. While we recognize that tackling the problem of plastic debris in the ocean calls for integrated solutions, our analysis contributes to filling the gap in knowledge about the effectiveness ...
decisionsupportsystems, etc ; algorithms; energy; models; renewable energy sources; Show all 5 Subjects
Abstract:
... In order to realize energy saving and high-efficiency production in the CNC turning process of parts, a novel hybrid approach for cutting parameters' optimization considering processing energy and efficiency is proposed. Through experimental fitting and orthogonal experiments, the no-load power and cutting power functions of the CNC lathe were obtained, and a multi-objective optimization model of ...