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You searched for: Subject "decision support systems" Remove constraint Subject: "decision support systems"
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1. DSSApple: A hybrid expert system for the diagnosis of post-harvest diseases of apple

Author:
Gabriele Sottocornola; Sanja Baric; Maximilian Nocker; Fabio Stella; Markus Zanker
Source:
Smart agricultural technology 2023 v.3 pp. 100070
ISSN:
2772-3755
Subject:
decision support systems,   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 ...
DOI:
10.1016/j.atech.2022.100070

2. DNA-based surrogates for the validation of microbial inactivation using cold atmospheric pressure plasma and plasma-activated water processing

Author:
Hemiao Cui; Qingyang Wang; Rewa Rai; Deepti Salvi; Nitin Nitin
Source:
Journal of food engineering 2023 v.339 pp. 111267
ISSN:
0260-8774
Subject:
decision support systems,   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 ...
DOI:
10.1016/j.jfoodeng.2022.111267
CHORUS:
10.1016/j.jfoodeng.2022.111267

3. Optimized modelling of countrywide soil organic carbon levels via an interpretable decision tree

Author:
Ndiye M. Kebonye; Prince C. Agyeman; James K.M. Biney
Source:
Smart agricultural technology 2023 v.3 pp. 100106
ISSN:
2772-3755
Subject:
decision support systems,   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 ...
DOI:
10.1016/j.atech.2022.100106

4. Combined analysis of satellite and ground data for winter wheat yield forecasting

Author:
Camilla Broms; Mikael Nilsson; Andreas Oxenstierna; Alexandros Sopasakis; Karl Åström
Source:
Smart agricultural technology 2023 v.3 pp. 100107
ISSN:
2772-3755
Subject:
decision support systems,   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 ...
DOI:
10.1016/j.atech.2022.100107

5. Tomato classification using mass spectrometry-machine learning technique: A food safety-enhancing platform

Author:
Arthur Noin de Oliveira; Sophia Regina Frazatto Bolognini; Luiz Claudio Navarro; Jeany Delafiori; Geovana Manzan Sales; Diogo Noin de Oliveira; Rodrigo Ramos Catharino
Source:
Food chemistry 2023 v.398 pp. 133870
ISSN:
0308-8146
Subject:
decision support systems,   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 ...
DOI:
10.1016/j.foodchem.2022.133870

6. Critical assessment of chemometric models employed for varietal authentication of wine based on UHPLC-HRMS data

Author:
Leos Uttl; Kamila Bechynska; Mona Ehlers; Vaclav Kadlec; Klara Navratilova; Zbynek Dzuman; Carsten Fauhl-Hassek; Jana Hajslova
Source:
Food control 2023 v.143 pp. 109336
ISSN:
0956-7135
Subject:
decision support systems,   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 ...
DOI:
10.1016/j.foodcont.2022.109336

7. Integrating framework analysis, scenario design, and decision support system for sustainable healthy food system analysis

Author:
Prince Agyemang; Ebenezer Miezah Kwofie; Fabrice A
Source:
Journal of cleaner production 2022 v.372 pp. 133661
ISSN:
0959-6526
Subject:
decision support systems,   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 ...
DOI:
10.1016/j.jclepro.2022.133661

8. Where and how? A comprehensive review of multicriteria approaches for bioenergy plant siting

Author:
Giovanni Ferrari; Ping Ai; Francesco Marinello; Andrea Pezzuolo
Source:
Journal of cleaner production 2022 v.346 pp. 131238
ISSN:
0959-6526
Subject:
decision support systems,   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 ...
DOI:
10.1016/j.jclepro.2022.131238

9. A dual energy benchmarking methodology for energy-efficient production planning and operation of discrete manufacturing systems using data mining techniques

Author:
Xuanhao Wen; Huajun Cao; Hongcheng Li; Jie Zheng; Weiwei Ge; Erheng Chen; Xi Gao; Bernard Hon
Source:
Energy 2022 v.255 pp. 124542
ISSN:
0360-5442
Subject:
decision support systems,   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 ...
DOI:
10.1016/j.energy.2022.124542

10. An analytical hierarchy process based decision support system for the selection of biogas up-gradation technologies

Author:
Priyanka Yadav; Sudeep Yadav; Dhananjay Singh; Rimika Madan Kapoor; Balendu Shekher Giri
Source:
Chemosphere 2022 v.302 pp. 134741
ISSN:
0045-6535
Subject:
decision support systems,   etc   ; biogas; decision making;     Show all 3 Subjects
Abstract:
... 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 ...
DOI:
10.1016/j.chemosphere.2022.134741

11. A novel unsupervised binary change detection method for VHR optical remote sensing imagery over urban areas

Author:
Hong Fang; Peijun Du; Xin Wang
Source:
International journal of applied earth observation and geoinformation 2022 v.108 pp. 102749
ISSN:
1569-8432
Subject:
decision support systems,   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 ...
DOI:
10.1016/j.jag.2022.102749

12. Simulating fire-safe cities using a machine learning-based algorithm for the complex urban forms of developing nations: a case of Mumbai India

Author:
Vaibhav Kumar; Arnab Jana; Krithi Ramamritham
Source:
Geocarto international 2022 v.37 no.4 pp. 1084-1099
ISSN:
1752-0762
Subject:
decision support systems,   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 ...
DOI:
10.1080/10106049.2020.1756463

13. Exploring stabilizer formulations for light-induced yellowing of polystyrene by high-throughput experimentation and machine learning

Author:
Ken Takimoto; Kengo Takeuchi; Nhan Nu Thanh Ton; Toshiaki Taniike
Source:
Polymer degradation and stability 2022 v.201 pp. 109967
ISSN:
0141-3910
Subject:
decision support systems,   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 ...
DOI:
10.1016/j.polymdegradstab.2022.109967

14. Institutional barriers to actionable science: Perspectives from decision support tool creators

Author:
Olivia Pearman; Amanda E. Cravens
Source:
Environmental science & policy 2022 v.128 pp. 317-325
ISSN:
1462-9011
Subject:
decision support systems,   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 ...
DOI:
10.1016/j.envsci.2021.12.004

15. Reflections on a risk-adjusted approach in spatial planning

Author:
Barbara Steinbrunner; Martin Wenk; Sven Fuchs
Source:
Österreichische Wasser- und Abfallwirtschaft 2022 v.74 no.3-4 pp. 154-165
ISSN:
0945-358X
Subject:
decision support systems,   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, ...
DOI:
10.1007/s00506-022-00844-x

16. Bilevel load-agent-based distributed coordination decision strategy for aggregators

Author:
Hongbin Wu; Jingjie Wang; Junhua Lu; Ming Ding; Lei Wang; Bin Hu; Ming Sun; Xianjun Qi
Source:
Energy 2022 v.240 pp. 122505
ISSN:
0360-5442
Subject:
decision support systems,   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 ...
DOI:
10.1016/j.energy.2021.122505

17. Choosing Feature Selection Methods for Spatial Modeling of Soil Fertility Properties at the Field Scale

Author:
Caner Ferhatoglu; Bradley A. Miller
Source:
Agronomy 2022 v.12 no.8 pp. -
ISSN:
2073-4395
Subject:
decision support systems,   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 ...
DOI:
10.3390/agronomy12081786

18. On an intensification factor for green chemistry and engineering: The value of an operationally simple decision-making tool in process assessment

Author:
David Fernandez Rivas; Pedro Cintas
Source:
Sustainable chemistry and pharmacy 2022 v.27 pp. 100651
ISSN:
2352-5541
Subject:
decision support systems,   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 ...
DOI:
10.1016/j.scp.2022.100651

19. A systemic approach to tackling ocean plastic debris

Author:
Alessandro De Matteis; Fethiye Burcu Turkmen Ceylan; Mona Daoud; Anne Kahuthu
Source:
Environment systems & decisions 2022 v.42 no.1 pp. 136-145
ISSN:
2194-5403
Subject:
decision support systems,   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 ...
DOI:
10.1007/s10669-021-09832-0

20. A novel hybrid approach for cutting parameters optimization considering processing energy and efficiency in turning process

Author:
Sheng Pu; Hua Luo; Shixiong Xing; Chuan Sun
Source:
International journal of green energy 2022 v.19 no.11 pp. 1191-1208
ISSN:
1543-5083
Subject:
decision support systems,   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 ...
DOI:
10.1080/15435075.2021.1986404