Adversarial Attacks and Defenses in Fault Detection and Diagnosis: A Comprehensive Benchmark on the Tennessee Eastman Process by Vitaliy Pozdnyakov, Aleksandr Kovalenko, Ilya Makarov, Mikhail Drobyshevskiy, Kirill Lukyanov

“…This study explores the threats in deploying deep learning models for Fault Detection and Diagnosis (FDD) in ACS using the Tennessee Eastman Process dataset. By evaluating three neural networks with different architectures, we subject them to six types of adversarial attacks and explore five different defense methods. …”
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Pythagorean Fuzzy Interaction Partitioned Bonferroni Mean Operators and Their Application in Multiple-Attribute Decision-Making by Wei Yang, Jiarong Shi, Yong Liu, Yongfeng Pang, Ruiyue Lin

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DECISION TREE WITH HILL CLIMBING ALGORITHM BASED SPECTRUM HOLE DETECTION IN COGNITIVE RADIO NETWORK by N Suganthi, R Meenakshi, A Sairam, M Parvathi

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The Decision to Choose Elderly Residence Based on the Implementation of Servicescape and Elderly Lifestyle Through Brand Image by Emir Fachry, Yuarry Farradia, Sufrin Hannan

“…The analysis technique used is descriptive statistical analysis and Structural Equation Modeling (SEM) using Smart PLS 3.0 software. The results of the study show that Lifestyle has a positive and significant effect on brand image (β 0.331, T-value 2.437, P-value 0.015), Servicescape has a positive and significant effect on brand image (β 0.301, T-value 2.530, P-value 0.011), Lifestyle has a positive and significant effect on purchasing decisions (β 0.285, T-value 2.514, P-value 0.012), Servicescape has a positive and significant effect on purchasing decisions (β 0.193, T-value 2.465, P-value 0.014), Brand Image has a positive and significant effect on purchasing decisions (β 0.547, T-value 5.840, P-value 0.000), Lifestyle has a positive and significant effect on purchasing decisions through brand image (β 0.185, T-value 2.235, P-value 0.025), servicescape has a positive and significant effect on purchasing decisions through brand image (β 0.165, T-value 2.347, P-value 0.025). …”
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Community Engagement in Crime Reduction Strategies: A Tale of Three Cities by Linda Nubani, Harmony Fierke-Gmazel, Holly Madill, Alaina De Biasi

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Physics-Based AI-Driven Surrogate Modeling for Structural Displacement Prediction in Mechanical Systems With Limited Sensor Data by Ali Hashemi, Javad Beheshti, Mahdieh Mohammadi

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Exploring patient perspectives on shared decision making about bariatric surgery in two healthcare systems by Kathleen McTigue, Anita Courcoulas, Robert Wellman, Ali Tavakkoli, Joanna Eavey, Emily Klawson, Jane Anau, Robin Garcia, Diana Stilwell, Bestoun Ahmed, Gary S. Fischer, John Maier, Kathleen Paul, Matt Handley, Shireesh Saurabh, Christopher Daigle, Glyn Elwyn, David Arterburn

“…Cross‐sectional samples represent three time points: (a) Cohort 1 (C1): following referral; (b) Cohort 2 (C2): after initial bariatric practice appointment; (c) Cohort 3 (C3): following pre‐operative visit. …”
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Hybrid Decision Support Framework for Energy Scheduling Using Stochastic Optimization and Cooperative Game Theory by Peng Liu, Tieyan Zhang, Furui Tian, Yun Teng, Miaodong Yang

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An evolutionary game theory-based machine learning framework for predicting mandatory lane change decision by Sixuan Xu, Mengyun Li, Wei Zhou, Jiyang Zhang, Chen Wang

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Spatiotemporal evaluation and impact of superficial factors on surface water quality for drinking using innovative techniques in Mahanadi River Basin, Odisha, India by Abhijeet Das

“…For its purpose, by employing innovative techniques, such as Methods Based on Removal Effects of Criteria (MEREC/Me) Water Quality Index (WQI), Multi-Criteria Decision-Making analysis namely Additive Ratio Assessment (ARAS) modeling and Machine Learning approaches entitled as Random Forest (RF) technique, the present study identifies locations, which have encountered the highest influence of cumulative factors such as discharge of sewage, lowering of water table, dilution and surface runoff, which lead to water quality variability in a water body over a monitoring period. …”
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Perceptions of Executive Decision Makers on Using Social Media in Effective Health Communication: Qualitative Study by Norah Abdullah Alanazi, Alia Mohammed Almoajel, Shabana Tharkar, Khalid Almutairi, Farha Nazir Ahmad Mohamad, Bader Saud Talak Almatairi

“…ResultsFive main themes were identified: (1) use of social media (frequency, type of content, target audience, purpose of communication), (2) perceptions of decision makers (how social media influences public health behavior), (3) benefits, (4) challenges, and (5) implications for future use. …”
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A novel Fractional fuzzy approach for multi-criteria decision-making in medical waste management by Muhammad Amad Sarwar, Yuezheng Gong, Sarah A. Alzakari, Amel Ali Alhussan

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Some complex probabilistic hesitant fuzzy aggregation operators and their applications to multi-attribute decision making by Yanpo Yang, Baoquan Ning, Fengjuan Tian, Guihui Lu

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The Power of Social Media: Shaping Risk Perception and Investment Decisions Among Young Equity Investors by Ika Yoga, Rina Hastuti, Wahyu Pramesti, Anim Rahmayati

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Contextual factors in value-based decision support to enhance health technologies adoption: the case of biosimilars by Maximilian Otte, Maximilian Otte, Maximilian Otte, Zoltán Kaló, Zoltán Kaló, Zoltán Kaló, Hussain Abdulrahman Al-Omar, Meindert Boysen, Yingyao Chen, Ana Paula Beck Da Silva Etges, Ana Paula Beck Da Silva Etges, Guvenc Kockaya, Iñaki Gutierrez-Ibarluzea, Ahmed Mohammed Seyam, Deirdre Mullen, Deirdre Mullen, Hans-Peter Dauben, Hans-Peter Dauben, Hans-Peter Dauben

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From Claims to Choices: How Health Information Shapes Consumer Decisions in the Functional Food Market by Concetta Nazzaro, Anna Uliano, Marco Lerro, Marcello Stanco

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Effect of Brand Image, Education Cost, and Education Facilities on Student’s Decision in Choosing Accounting Department by Akhmad Suyono

“…The technique of research used random sampling and method used descriptive quantitative. The data of brand image, education costs, education facilities, and student’s decisions are obtained from questionnaires. …”
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Instrumentalising the Internal Control of Material Resources in an Industrial Enterprise to Provide Information Base for Management Decisions by I. E. Mizikovskу

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Elements substantiation of decision-making schemes for the management of prosocial and environmental corporate innovations of industrial enterprises by V. V. Degtyareva

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The machine learning algorithm based on decision tree optimization for pattern recognition in track and field sports. by Guomei Cui, Chuanjun Wang

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