A combined fleet size and mix vehicle routing model for last-mile distribution in disaster relief by Katharina Eberhardt, Florian Diehlmann, Markus Lüttenberg, Florian Klaus Kaiser, Frank Schultmann

“…The model aims to optimize routing and analyze fleet decisions to minimize the sum of operating costs and population deprivation costs. …”
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Incorporation of visible/near-infrared spectroscopy and machine learning models for indirect assessment of grape ripening indicators by Osama Elsherbiny, Salah El-Hendawy, Salah Elsayed, Abdallah Elshawadfy Elwakeel, Abdullah Alebidi, Xianlu Yue, Wael Mohamed Elmessery, Hoda Galal

“…The integration of multiple SRIs resulted in the most precise models. The DT model delivered outstanding performance for An (R2 = 0.87, RMSE = 87.81) and TSS/TA (R2 = 0.74, RMSE = 3.12). …”
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Developing a model to estimate the probability of bacteremia in women with community-onset febrile urinary tract infection by Won Sup Oh, Yeon-Sook Kim, Joon Sup Yeom, Hee Kyoung Choi, Yee Gyung Kwak, Jae-Bum Jun, Seong Yeon Park, Jin-Won Chung, Ji-Young Rhee, Baek-Nam Kim

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Integrating Actual Decision-Making Requirements for Intelligent Collision Avoidance Strategy in Multi-Ship Encounter Situations by Yun Li, Yu Peng, Jian Zheng

Subjects: “…decision-making requirements…”
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Predictive Modeling and Simulation of CO₂ Trapping Mechanisms: Insights into Efficiency and Long-Term Sequestration Strategies by Oluchi Ejehu, Rouzbeh Moghanloo, Samuel Nashed

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AquaVar decision support system for water resource management: Lessons learned from the first five years of operation by Fanny Picourlat, Lian Guey Ler, Jérémy Targosz, Paguedame Game, Hézouwé Amaou Tallé, Morgan Abily, Félix Billaud

Subjects: “…decision support system…”
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Inclusion of blood pressure parameter increases predictive capability of severe obstructive sleep apnea: A decision tree approach by Hsiang‐Ju Cheng, Chung‐Yi Li, Cheng‐Yu Lin

Subjects: “…binary logistic regression model…”
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Exploring key drivers affecting adoption decision and intensity of cassava technology: evidence from cassava growers in Southern Ethiopia by Samuel Semma Waje, Berhanu Kuma Shano, Solomon Zena Walelign

“…The double hurdle model results revealed that cassava technology adoption decision negatively associated with exposure to media and mobile ownership. …”
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Algorithms for Making Managerial Decisions in the Digital Economy by V. A. Chernov

“…This requires the development of special methods and models for making managerial decisions in conditions of uncertainty and risk. …”
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Synthesis of parallel adders from if-decision diagrams by A. A. Prihozhy

“…If-decision diagrams provide a parallel many-bit adder model with the time complexity of Ο(log2n) and area complexity of Ο(n×log2n). …”
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A mechanism for value-sensitive decision-making. by Darren Pais, Patrick M Hogan, Thomas Schlegel, Nigel R Franks, Naomi E Leonard, James A R Marshall

“…We show that strength of cross-inhibition is a decision-parameter influencing how decisions depend both on the difference in value and on the mean value of the alternatives; this is in contrast to many previous mechanistic models of decision-making, which are typically sensitive to decision accuracy rather than the value of the option chosen. …”
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On convex decision regions in deep network representations by Lenka Tětková, Thea Brüsch, Teresa Dorszewski, Fabian Martin Mager, Rasmus Ørtoft Aagaard, Jonathan Foldager, Tommy Sonne Alstrøm, Lars Kai Hansen

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THE RETURN PROCEEDINGS OF THE JURY: UNANIMOUS DECISION OR VOTING? by I. Ermakova

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Students' performance prediction employing Decision Tree by Abtahi Ahmed, Farzana Akter Nipa, Wasi Uddin Bhuyian, Khaled Md Mushfique, Kamrul Islam Shahin, Huu-Hoa Nguyen, Dewan Md. Farid

“…Prior prediction of how a student stands academically, can facilitate them towards a much safer approach with their life decisions. This study uses the vast power and analytical domain of EDM, combining it with machine learning models, upholding an accurate prediction of students' academic performance. …”
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Students' performance prediction employing Decision Tree by Abtahi Ahmed, Farzana Akter Nipa, Wasi Uddin Bhuyian, Khaled Md Mushfique, Kamrul Islam Shahin, Huu-Hoa Nguyen, Dewan Md. Farid

“…Prior prediction of how a student stands academically, can facilitate them towards a much safer approach with their life decisions. This study uses the vast power and analytical domain of EDM, combining it with machine learning models, upholding an accurate prediction of students' academic performance. …”
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DECISION SUPPORT SYSTEM IN PLANNING INVESTMENT PROJECTS by Viktor Kosenko

“…The following tasks were solved in the article: the model of complex planning was studied and the investment project was implemented, the method of selecting an optimal variant of investment project implementation was developed, the elements of the decision support system to select the investment method were specified. …”
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The individual decision-making process of refugees in Yogyakarta by Rory John Brown

“… The imminent situation faced by asylum seekers is a crucial factor in understanding their decision making process. This study has adopted Bronfenbrenner’s ecological model to map out the circumfix of influence affecting refugees in Yogyakarta. …”
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The individual decision-making process of refugees in Yogyakarta by Rory John Brown

“… The imminent situation faced by asylum seekers is a crucial factor in understanding their decision making process. This study has adopted Bronfenbrenner’s ecological model to map out the circumfix of influence affecting refugees in Yogyakarta. …”
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MULTINATIONAL’S INFLUENCE IN DECISION TO ADOPT IAS/IFRS by VALENTIN BURCA, TEODOR-FLORIN CILAN

“…The success of the current accounting convergence process depends on the degree of participation, transparency and model of decision adopted in the international accounting standardization process. …”
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Keeping the human in the loop: are autonomous decisions inevitable? by Pöhler Jonas, Flegel Nadine, Mentler Tilo, Van Laerhoven Kristof

“…Through an analysis of control room trends, operator attitudes, and models of human-computer collaboration, this paper highlights the benefits and challenges of automation, including risks of deskilling, automation bias, and accountability. …”
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